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.
波動率
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
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。
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.
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.
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.
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.
Harry Dunn Volatility BandsEnter strike price and 2 percentage numbers to automatically calculate and draw volatility bands on chart.
Level Founder indicatorQuesto strumento, ideato per l'individuazione dei livelli orizzontali sensibili si prepone l'obiettivo di semplificare la lettura tecnica dei grafici. Alla base di questo indicatore c'è il concetto di volatilità, inteso come scontro tra domanda ed offerta, come escursione delle forze nel campo di battaglia fino alla determinazione del prezzo finale di ogni candela. Di fatto, andando a cogliere quella che è la volatilità candela per candela, l'indicatore la calcola in termini assoluti rendendola un numericamente comparabile, in un range tra 0 e 100. Quando questo valore tocca i 100 si genera un picco di volatilità, il quale va ad identificare un punto di attenzione sul grafico di uno strumento. In corrispondenza di questi picchi si osserva dove la battaglia tra compratori e venditori si è conclusa, ovvero dove domanda ed offerta si sono incontrati per definire un prezzo: la chiusura di candela. In corrispondenza di tale prezzo si ha, quindi, un accordo certo tra domanda ed offerta dopo un periodo di contrattazione volatile, andando a certificare quello che è un livello di prezzo "sudato" per un determinato sottostante. Tale soglia si traduce in un livello orizzontale sensibile, che in futuro (avendo il mercato memoria degli scontri passati) potrà comportarsi da supporto o da resistenza, a seconda della situazione. In breve quindi, si traccia una linea orizzontale in corrispondenza delle chiusure di candela che condividono un picco sull'indicatore "Level Founder Indicator". Funziona su ogni time-frame e sottostante.
N.B. A ridosso di questi livelli si possono cercare pattern per l'operatività oppure cercare delle rotture di questi livelli per delle conferme/inversioni, spaziando dal trading intraday all'investimento di lungo periodo.
ENGLISH VERSION:
This tool, designed to identify sensitive horizontal levels, aims to simplify the technical reading of charts. This indicator is based on the concept of volatility, understood as the clash between supply and demand, the oscillation of forces on the battlefield until the final price of each candlestick is determined. By capturing the volatility candlestick by candlestick, the indicator calculates it in absolute terms, making it numerically comparable, within a range between 0 and 100. When this value reaches 100, a volatility spike is generated, which identifies a point of focus on an instrument's chart. At these peaks, we observe where the battle between buyers and sellers has concluded, that is, where supply and demand have met to define a price: the candlestick's close. At this price, therefore, a definite agreement between supply and demand occurs after a period of volatile trading, certifying what is a "hard-earned" price level for a given underlying asset. This threshold translates into a sensitive horizontal level, which in the future (given the market's memory of past clashes) could act as support or resistance, depending on the situation. In short, a horizontal line is drawn at the candlestick closes that share a peak on the "Level Founder Indicator." It works on any timeframe and underlying asset.
N.B.: Near these levels, you can look for trading patterns or look for breakouts of these levels for confirmations/reversals, ranging from intraday trading to long-term investing.
Universal Breakout Strategy [KedArc Quant]Description:
A flexible breakout framework where you can test different logics (Prev Day, Bollinger, Volume, ATR, EMA Trend, RSI Confirm, Candle Confirm, Time Filter) under one system.
Choose your breakout mode, and the strategy will handle entries, exits, and optional risk management (ATR stops, take-profits, daily loss guard, cooldowns).
An on-chart info table shows live mode values (like Prev High/Low, Bollinger levels, RSI, etc.) plus P&L stats for quick analysis.
Use it to compare which breakout style works best on your instrument and timeframe, whether intraday, swing, or positional trading
🔑 Why it’s useful
* Flexibility: Switch between breakout strategies without loading different indicators.
* Clarity: On-chart info table displays current mode, relevant indicator levels, and live strategy P&L stats.
* Testing efficiency: Quickly A/B test different breakout styles under the same backtest environment.
* Transparency: Every trade is rule-based and displayed with entry/exit markers.
🚀 How it helps traders
* Lets you experiment with breakout strategies quickly without loading multiple scripts.
* Helps identify which breakout method fits your instrument & timeframe.
* Gives clear on-chart visual + statistical feedback for confident decision-making.
⚙️ Input Configuration
* Breakout Mode → choose which strategy to test:
* *Prev Day* → breakouts of yesterday’s High/Low.
* *Bollinger* → Upper/Lower BB pierce.
* *Volume* → Breakout confirmed with volume above average.
* *ATR Stop* → Wide range breakout using ATR filter.
* *Time Filter* → Breakouts inside defined session hours.
* *EMA Trend* → Breakouts only in EMA fast > slow alignment.
* *RSI Confirm* → Breakouts with RSI confirmation (e.g. >55 for longs).
* *Candle Confirm* → Breakouts validated by bullish/bearish candle.
* Lookback / ATR / Bollinger inputs → adjust sensitivity.
* Intrabar mode → option to evaluate breakouts using bar highs/lows instead of closes.
* Table options → show/hide info table, show/hide P&L stats, choose corner placement.
📈 Entry & Exit Logic
* Entry → occurs when breakout condition of chosen mode is met.
* Exit → default exits via opposite signals or optional stop/target if enabled.
* Session filter → optional auto-flat at session end.
* P&L management → optional daily loss guard, cooldown between trades, and ATR-based stop/take profit.
❓ FAQ — Choosing the best setup
Q: Which strategy should I use for which chart?
* *Prev Day Breakouts*: Best on indices, FX, and liquid futures with strong daily levels.
* *Bollinger*: Works well in range-bound environments, or crypto pairs with volatility compression.
* *Volume*: Good on equities where breakout strength is tied to volume spikes.
* *ATR Stop*: Suits volatile instruments (commodities, crypto).
* *EMA Trend*: Useful in trending markets (stocks, indices).
* *RSI Confirm*: Adds momentum filter, better for swing trades.
* *Candle Confirm*: Ideal for scalpers needing visual confirmation.
* *Time Filter*: For intraday traders who want signals only in high-liquidity sessions.
Q: What timeframe should I use?
* Intraday traders → 5m to 15m (Time Filter, Candle Confirm).
* Swing traders → 1H to 4H (EMA Trend, RSI Confirm, ATR Stop).
* Position traders → Daily (Prev Day, Bollinger).
* Breakout
A trade entry condition triggered when price crosses above a resistance level (for longs) or below a support level (for shorts).
* Prev Day High/Low
Formula:
Prev High = High of (Day )
Prev Low = Low of (Day )
* Bollinger Bands
Formula:
Basis = SMA(Close, Length)
Upper Band = Basis + (Multiplier × StdDev(Close, Length))
Lower Band = Basis – (Multiplier × StdDev(Close, Length))
* Volume Confirmation
A breakout is only valid if:
Volume > SMA(Volume, Length)
* ATR (Average True Range)
Measures volatility.
Formula:
ATR = SMA(True Range, Length)
where True Range = max(High–Low, |High–Close |, |Low–Close |)
* EMA (Exponential Moving Average)
Weighted moving average giving more weight to recent prices.
Formula:
EMA = (Price × α) + (EMA × (1–α))
with α = 2 / (Length + 1)
* RSI (Relative Strength Index)
Momentum oscillator scaled 0–100.
Formula:
RSI = 100 – (100 / (1 + RS))
where RS = Avg(Gain, Length) ÷ Avg(Loss, Length)
* Candle Confirmation
Bullish candle: Close > Open AND Close > Close
Bearish candle: Close < Open AND Close < Close
Win Rate (%)
Formula:
Win Rate = (Winning Trades ÷ Total Trades) × 100
* Average Trade P&L
Formula:
Avg Trade = Net Profit ÷ Total Trades
📊 Performance Notes
The Universal Breakout Strategy is designed as a framework rather than a single-asset optimized system. Results will vary depending on the chart, timeframe, and asset chosen.
On the current defaults (15-minute, INR-denominated example), the backtest produced 132 trades over the selected period. This provides a statistically sufficient sample size.
Win rate (~35%) is relatively low, but this is balanced by a positive reward-to-risk ratio (~1.8). In practice, a lower win rate with larger wins versus smaller losses is sustainable.
The average P&L per trade is close to breakeven under default settings. This is expected, as the strategy is not tuned for a single symbol but offered as a universal breakout framework.
Commissions (0.1%) and slippage (1 tick) are included in the simulation, ensuring realistic conditions.
Risk management is conservative, with order sizing set at 1 unit per trade. This avoids over-leveraging and keeps exposure well under the 5-10% equity risk guideline.
👉 Traders are encouraged to:
Experiment with inputs such as ATR period, breakout length, or Bollinger parameters.
Test across different timeframes and instruments (equities, futures, forex, crypto) to find optimal setups.
Combine with filters (trend direction, volatility regimes, or volume conditions) for further refinement.
⚠️ Disclaimer This script is provided for educational purposes only.
Past performance does not guarantee future results.
Trading involves risk, and users should exercise caution and use proper risk management when applying this strategy.
ATR Volatility and Trend AnalysisATR Volatility and Trend Analysis
Unlock the power of the Average True Range (ATR) with the ATR Volatility and Trend Analysis indicator. This comprehensive tool is designed to provide traders with a multi-faceted view of market dynamics, combining volatility analysis, dynamic support and resistance levels, and trend detection into a single, easy-to-use indicator.
How It Works
The ATR Volatility and Trend Analysis indicator is built upon the core concept of the ATR, a classic measure of market volatility. It expands on this by providing several key features:
Dynamic ATR Bands: The indicator plots three sets of upper and lower bands around the price. These bands are calculated by multiplying the current ATR value by user-defined multipliers. They act as dynamic support and resistance levels, widening during volatile periods and contracting during calm markets.
Volatility Breakout Signals: Identify potential breakouts with precision. The indicator generates a signal when the current ATR value surges above its own moving average by a specified threshold, indicating a significant increase in volatility that could lead to a strong price move.
Trend Detection: The indicator determines the market trend by analyzing both price action and ATR behavior. A bullish trend is signaled when the price is above its moving average and volatility is increasing. Conversely, a bearish trend is signaled when the price is below its moving average and volatility is increasing.
How to Use the ATR Multi-Band Indicator
Identify Support and Resistance: Use the ATR bands as key levels. Price approaching the outer bands may indicate overbought or oversold conditions, while a break of the bands can signal a strong continuation.
Confirm Breakouts: Look for a volatility breakout signal to confirm the strength behind a price move. A breakout from a consolidation range accompanied by a volatility signal is a strong indicator of a new trend.
Trade with the Trend: Use the background coloring and trend signals to align your trades with the dominant market direction. Enter long positions during confirmed bullish trends and short positions during bearish trends.
Set Up Alerts: The indicator includes alerts for band crosses, trend changes, and volatility breakouts, ensuring you never miss a potential trading opportunity.
What makes it different?
While many indicators use ATR, the ATR Volatility and Trend Analysis tool is unique in its integration of multiple ATR-based concepts into a single, cohesive system. It doesn't just show volatility; it interprets it in the context of price action to deliver actionable trend and breakout signals, making it a complete solution for ATR-based analysis.
Disclaimer
This indicator is designed as a technical analysis tool and should be used in conjunction with other forms of analysis and proper risk management.
Past performance does not guarantee future results, and traders should thoroughly test any strategy before implementing it with real capital.
Adaptive Machine Learning Trading System [PhenLabs]📊Adaptive ML Trading System
Version: PineScript™v6
📌Description
The Adaptive ML Trading System is a sophisticated machine learning indicator that combines ensemble modeling with advanced technical analysis. This system uses XGBoost, Random Forest, and Neural Network algorithms to generate high-confidence trading signals while incorporating robust risk management features. Traders benefit from objective, data-driven decision-making that adapts to changing market conditions.
🚀Points of Innovation
• Machine Learning Ensemble - Three integrated models (XGBoost, Random Forest, Neural Network)
• Confidence-Based Trading - Only executes trades when ML confidence exceeds threshold
• Dynamic Risk Management - ATR-based stop loss and max drawdown protection
• Adaptive Position Sizing - Volatility-adjusted position sizing with confidence weighting
• Real-Time Performance Metrics - Live tracking of win rate, Sharpe ratio, and performance
• Multi-Timeframe Feature Analysis - Adaptive lookback periods for different market regimes
🔧Core Components
• ML Ensemble Engine - Weighted combination of XGBoost, Random Forest, and Neural Network outputs
• Feature Normalization System - Advanced preprocessing with custom tanh/sigmoid activation
• Risk Management Module - Dynamic position sizing and drawdown protection
• Performance Dashboard - Real-time metrics and risk status monitoring
• Alert System - Comprehensive alert conditions for entries, exits, and risk events
🔥Key Features
• High-confidence ML signals with customizable confidence thresholds
• Multiple trading modes (Conservative, Balanced, Aggressive) for different risk profiles
• Integrated stop loss and risk management with ATR-based calculations
• Real-time performance metrics including win rate and Sharpe ratio
• Comprehensive alert system with entry, exit, and risk management notifications
• Visual confidence bands and threshold indicators for easy signal interpretation
🎨Visualization
• ML Signal Line - Primary signal output ranging from -1 to +1
• Confidence Bands - Visual representation of model confidence levels
• Threshold Lines - Customizable buy/sell threshold levels
• Position Histogram - Current market position visualization
• Performance Tables - Real-time metrics display in customizable positions
📖Usage Guidelines
Model Configuration
• Confidence Threshold: Default 0.55, Range 0.5-0.95 - Minimum confidence for signals
• Model Sensitivity: Default 0.9, Range 0.1-2.0 - Adjusts signal sensitivity
• Ensemble Mode: Conservative/Balanced/Aggressive - Trading style preference
• Signal Threshold: Default 0.55, Range 0.3-0.9 - ML signal threshold for entries
Risk Management
• Position Size %: Default 10%, Range 1-50% - Portfolio percentage per trade
• Max Drawdown %: Default 15%, Range 5-30% - Maximum allowed drawdown
• Stop Loss ATR: Default 2.0, Range 0.5-5.0 - Stop loss in ATR multiples
• Dynamic Sizing: Default true - Volatility-based position adjustment
Display Settings
• Show Signals: Default true - Display entry/exit signals
• Show Threshold Signals: Default true - Display ±0.6 threshold crosses
• Show Confidence Bands: Default true - Display ML confidence levels
• Performance Dashboard: Default true - Show metrics table
✅Best Use Cases
• Swing trading with 1-5 day holding periods
• Trend-following strategies in established trends
• Volatility breakout trading during high-confidence periods
• Risk-adjusted position sizing for portfolio management
• Multi-timeframe confirmation for existing strategies
⚠️Limitations
• Requires sufficient historical data for accurate ML predictions
• May experience low confidence periods in choppy markets
• Performance varies across different asset classes and timeframes
• Not suitable for very short-term scalping strategies
• Requires understanding of basic risk management principles
💡What Makes This Unique
• True machine learning ensemble with multiple model types
• Confidence-based trading rather than simple signal generation
• Integrated risk management with dynamic position sizing
• Real-time performance tracking and metrics
• Adaptive parameters that adjust to market conditions
🔬How It Works
Feature Calculation: Computes 20+ technical features from price/volume data
Feature Normalization: Applies custom normalization for ML compatibility
Ensemble Prediction: Combines XGBoost, Random Forest, and Neural Network outputs
Signal Generation: Produces confidence-weighted trading signals
Risk Management: Applies position sizing and stop loss rules
Execution: Generates alerts and visual signals based on thresholds
💡Note:
This indicator works best on daily and 4-hour timeframes for most assets. Ensure you understand the risk management settings before live trading. The system includes automatic risk-off modes that halt trading during excessive drawdown periods.
Market Sentiment Trend Gauge [LevelUp]Market Sentiment Trend Gauge simplifies technical analysis by mathematically combining momentum, trend direction, volatility position, and comparison against a market benchmark, into a single trend score from -100 to +100. Displayed in a separate pane below your chart, it resolves conflicting signals from RSI, moving averages, Bollinger Bands, and market correlations, providing clear insights into trend direction, strength, and relative performance.
THE PROBLEM MARKET SENTIMENT TREND GAUGE (MSTG) SOLVES
Traditional indicators often produce conflicting signals, such as RSI showing overbought while prices rise or moving averages indicating an uptrend despite market underperformance. MSTG creates a weighted composite score to answer: "What's the overall bias for this asset?"
KEY COMPONENTS AND WEIGHTINGS
The trend score combines
▪ Momentum (25%): Normalized 14-period RSI, capped at ±100.
▪ Trend Direction (35%): 10/21-period EMA relationships,
▪ Volatility Position (20%): Price position, 20-period Bollinger Bands, capped at ±100.
▪ Market Comparison (20%): Daily performance vs. SPY benchmark, capped at ±100.
Final score = Weighted sum, smoothed with 5-period EMA.
INTERPRETING THE MSTG CHART
Trend Score Ranges and Colors
▪ Bright Green (>+30): Strong bullish; ideal for long entries.
▪ Light Green (+10 to +30): Weak bullish; cautiously favorable.
▪ Gray (-10 to +10): Neutral; avoid directional trades.
▪ Light Red (-10 to -30): Weak bearish; exercise caution.
▪ Bright Red (<-30): Strong bearish; high-risk for longs, consider shorts.
Reference Lines
▪ Zero Line (Gray): Separates bullish/bearish; crossovers signal trend changes.
▪ ±30 Lines (Dotted, Green/Red): Thresholds for strong trends.
▪ ±60 Lines (Dashed, Green/Red): Extreme strength zones (not overbought/oversold); manage risk (tighten stops, partial profits) but trends may persist.
Background Colors
▪ Green Tint (>+20): Bullish environment; favorable for longs.
▪ Red Tint (<-20): Bearish environment; caution for longs.
▪ Light Gray Tint (-20 to +20): Neutral/range-bound; wait for signals.
Extreme Readings vs. Traditional Signals
MSTG ±60 indicates maximum alignment of all factors, not reversals (unlike RSI >70/<30). Use for risk management, not automatic exits. Strong trends can sustain extremes; breakdowns occur below +30 or above -30.
INFORMATION TABLE INTERPRETATION
Trend Score Symbols
▲▲ >+30 strong bullish
▲ +10 to +30
● -10 to +10 neutral
▼ -30 to -10
▼▼ <-30 strong bearish
Colors: Green (positive), White (neutral), Red (negative).
Momentum Score
+40 to +100 strong bullish
0 to +40 moderate bullish
-40 to 0 moderate bearish
-100 to -40 strong bearish
Market vs. Stock
▪ Green: Stock outperforming market
▪ Red: Stock underperforming market
Example Interpretations:
-0.45% / +1.23% (Green): Market down, stock up = Strong relative strength
+2.10% / +1.50% (Red): Both rising, but stock lagging = Relative weakness
-1.20% / -0.80% (Green): Both falling, but stock declining less = Defensive strength
UNDERSTANDING EXTREME READINGS VS TRADITIONAL OVERBOUGHT/OVERSOLD
⚠️ Critical distinctions
Traditional Overbought/Oversold Signals:
▪ Single indicator (like RSI >70 or <30) showing momentum excess
▪ Often suggests immediate reversal or pullback expected
▪ Based on "price moved too far, too fast" concept
MSTG Extreme Readings (±60):
▪ Composite alignment of 4 different factors (momentum, trend, volatility, relative strength)
▪ Indicates maximum strength in current direction
▪ NOT a reversal signal - means "all systems extremely bullish/bearish"
Key Differences:
▪ RSI >70: "Price got ahead of itself, expect pullback"
▪ MSTG >+60: "Everything is extremely bullish right now"
▪ Strong trends can maintain extreme MSTG readings during major moves
▪ Breakdowns happen when MSTG falls below +30, not at +60
Proper Usage of Extreme Readings:
▪ Risk Management: Tighten stops, take partial profits
▪ Position Sizing: Reduce new position sizes at extremes
▪ Trend Continuation: Watch for sustained extreme readings in strong markets
▪ Exit Signals: Look for breakdown below +30, not reversal from +60
TRADING WITH MSTG
Quick Assessment
1. Check trend symbol for direction.
2. Confirm momentum strength.
3. Note relative performance color.
Examples:
▲▲ 55.2 (Green), Momentum +28.4, Outperforming: Strong buy setup.
▼ -18.6 (Red), Momentum -43.2, Underperforming: Defensive positioning.
Entry Conditions
▪ Long: stock outperforming market
- Score >+30 (bright green)
- Sustained green background
- ▲▲ symbol,
▪ Short: stock underperforming market
- Score <-30 (bright red)
- Sustained red background
- ▼▼ symbol
Avoid Trading When:
▪ Gray zone (-10 to +10).
▪ Rapid color changes or frequent zero-line crosses (choppy market).
▪ Gray background (range-bound).
Risk Management:
▪ Stop Loss: Exit on zero-line crossover against position.
▪ Take Profit: Partial at ±60 for risk control.
▪ Position Sizing: Larger when signals align; smaller in extremes or mixed conditions.
KEY ADVANTAGES
▪ Unified View: Weighted composite reduces noise and conflicts.
▪ Visual Clarity: 5-color system with gradients for rapid recognition.
▪ Market Context: Relative strength vs. SPY identifies leaders/laggards.
▪ Flexibility: Works across timeframes (1-min to weekly); customizable table.
▪ Noise Reduction: EMA smoothing minimizes false signals.
EXAMPLES
Strong Bull: Trend Score 71.9, Momentum Score 76.9
Neutral: Trend Score 0.1, Momentum Score -9.2
Strong Bear: Trend Score -51.7, Momentum Score -51.5
PERFORMANCE AND LIMITATIONS
Strengths: Trend identification, noise reduction, relative performance versus market.
Limitations: Lags at turning points, less effective in extreme volatility or non-trending markets.
Recommendations: View on multiple timeframes, combine with price action and fundamentals.
Swing Dashboard - Pro Trader Metrics with MTF & Enhanced VolumeDESCRIPTION:
A comprehensive real-time dashboard designed for swing traders and active investors trading US equities. Displays all critical metrics in one customizable panel overlay - no need to clutter your chart with multiple indicators.
KEY FEATURES:
📊 Relative Strength Analysis:
Stock vs Market (SPY/QQQ/IWM/DIA)
Stock vs Sector (automatic sector ETF detection)
Sector vs Market comparison
Customizable lookback period (5-60 days)
📈 Price & Range Metrics:
Daily range, change, and gap percentages
Distance from SMA20, SMA50, VWAP
52-week position percentage
ATR% and ADR% for volatility assessment
Range/ADR ratio for breakout detection
💪 Advanced Volume Analysis:
RVOL (full day volume vs 20-day average)
Volume Strength (bar-by-bar analysis)
Volume Trend (5-day vs 20-day momentum)
Customizable RVOL alert thresholds
Non-repainting volume calculations
⚙️ Multi-Timeframe (MTF) Mode:
View daily charts with 5-min or 15-min metric updates
Perfect for monitoring positions without switching timeframes
All calculations remain accurate across timeframes
🎨 Fully Customizable:
Choose which metrics to display
9 position options for the dashboard
Adjustable text size and colors
Toggle individual metrics on/off
Sector-specific ETF mapping for accurate RS calculations
TECHNICAL SPECIFICATIONS:
✅ Non-repainting - all calculations use confirmed bar data
✅ No lookahead bias or future data
✅ Optimized for US stocks with proper sector mapping
✅ Works on any timeframe (best on 5m-Daily)
✅ Pine Script v6 with best practices
✅ Handles edge cases and missing data gracefully
IDEAL FOR:
Swing traders monitoring multiple positions
Day traders needing quick metric overview
Investors tracking relative strength and momentum
Anyone who wants institutional-grade metrics in one place
SECTOR ETF MAPPING:
Automatically maps to correct sector ETFs: XLK, XLF, XLV, XLY, XLP, XLE, XLB, XLI, XLRE, XLC, XLU
HOW TO USE:
Green = Positive/Strong | Red = Negative/Weak | White = Neutral
RS > 0 = Outperforming benchmark/sector
RVOL > 1.5x = High volume day
VWAP% negative = Price below VWAP (mean reversion opportunity)
R/ADR > 100% = Extended range (potential exhaustion)
Perfect for traders who need professional-grade analysis without chart clutter.
TAGS:
dashboard, swing, relativestrengrh, sectoranalysis, volume, rvol, multitimeframe, mtf, tradingdashboard, metrics, daytrading, swingtrading, momentum, vwap, atr, volatility, volumeanalysis
Signal Core Basic [NevoxCore]⯁ OVERVIEW
Signal Core Basic is a clean and functional ATR-based trailing stop with BUY/SELL signals.
It modernizes the classic "UT-style" concept with adaptive sensitivity, multi-source inputs (Close, Heikin-Ashi, ZLEMA, KAMA), and compact visuals.
The tool is designed for traders who want a clear, minimal, and reliable base indicator without repainting issues.
⯁ HOW IT WORKS
Calculates an ATR-based trailing stop (nLoss = Key × ATR).
Adaptive mode scales sensitivity depending on trend strength (trend/range detection).
Trailing stop flips when price crosses from one regime to the other.
BUY/SELL signals trigger only when confirmed and not blocked by cooldown.
Label ring-buffer ensures chart stays clean (max 50 labels).
Bar coloring optional (solid), auto-disabled when classic red/green colors are enabled.
⯁ KEY FEATURES
ATR-based trailing stop with adjustable sensitivity.
Adaptive key (trend/range aware).
Multiple compute sources: Close, Heikin-Ashi, ZLEMA, KAMA.
Global confirm-on-close switch (no repaint).
Early-flip protection (cooldown).
Compact BUY/SELL labels with auto-cleanup (max 50).
Optional solid bar coloring.
Alerts with ticker, timeframe, and price included.
⯁ SETTINGS (quick overview)
Visual: Classic Colors, Show Labels, Plot Trailing Stop, Barcolor ON/OFF.
Source & Sensitivity: Key Value, ATR Length, Compute Source.
Advanced: Adaptive Key toggle with min/max bounds.
Global: Confirm on bar close.
Extras: Cooldown protection (bars).
⯁ ALERTS (built-in)
Basic Long: BUY signal.
Basic Short: SELL signal.
Each alert includes {{ticker}} {{interval}} @ {{close}}.
⯁ HOW TO USE
Use as a trailing stop and regime filter.
Combine BUY/SELL signals with your strategy rules.
Enable cooldown for cleaner signals in choppy markets.
Try ZLEMA or Heikin-Ashi as compute source for smoother performance.
⯁ WHY IT’S DIFFERENT
Unlike generic UT-style scripts, Signal Core Basic adds adaptive sensitivity, multiple input sources, and strict non-repaint safety.
The visuals follow NevoxCore’s design standards: compact, minimal, and clean — ready for live trading with alerts.
⯁ DISCLAIMER
Backtest and paper-trade before using live. Not financial advice.
Performance depends on market, timeframe, and parameters.
Historical VolatilityHistorical Volatility Indicator with Custom Trading Sessions
Overview
This indicator calculates **annualized Historical Volatility (HV)** using logarithmic returns and standard deviation. Unlike standard HV indicators, this version allows you to **customize trading sessions and holidays** for different markets, ensuring accurate volatility calculations for options pricing and risk management.
Key Features
✅ Custom Trading Sessions - Define multiple trading sessions per day with precise start/end times
✅ Multiple Markets Support - Pre-configured for US, Russian, European, and crypto markets
✅ Clearing Periods Handling - Account for intraday clearing breaks
✅ Flexible Calendar - Set trading days per year for different countries
✅ All Timeframes - Works correctly on intraday, daily, weekly, and monthly charts
✅ Info Table - Optional display showing calculation parameters
How It Works
The indicator uses the classical volatility formula:
σ_annual = σ_period × √(periods per year)
Where:
- σ_period = Standard deviation of logarithmic returns over the specified period
- Periods per year = Calculated based on actual trading time (not calendar time)
Calculation Method
1. Computes log returns: ln(close / close )
2. Calculates standard deviation over the lookback period
3. Annualizes using the square root rule with accurate period count
4. Displays as percentage
Settings
Calculation
- Period (default: 10) - Lookback period for volatility calculation
Trading Schedule
- Trading Days Per Year (default: 252) - Number of actual trading days
- USA: 252
- Russia: 247-250
- Europe: 250-253
- Crypto (24/7): 365
- Trading Sessions - Define trading hours in format: `hh:mm:ss-hh:mm:ss, hh:mm:ss-hh:mm:ss`
Display
- Show Info Table - Shows calculation parameters in real-time
Market Presets
United States (NYSE/NASDAQ)
Trading Sessions: 09:30:00-16:00:00
Trading Days Per Year: 252
Trading Minutes Per Day: 390
Russia (MOEX)
Trading Sessions: 10:00:00-14:00:00, 14:05:00-18:40:00
Trading Days Per Year: 248
Trading Minutes Per Day: 515
Europe (LSE)
Trading Sessions: 08:00:00-16:30:00
Trading Days Per Year: 252
Trading Minutes Per Day: 510
Germany (XETRA)
Trading Sessions: 09:00:00-17:30:00
Trading Days Per Year: 252
Trading Minutes Per Day: 510
Cryptocurrency (24/7)
Trading Sessions: 00:00:00-23:59:59
Trading Days Per Year: 365
Trading Minutes Per Day: 1440
Use Cases
Options Trading
- Compare HV vs IV - Historical volatility compared to implied volatility helps identify mispriced options
- Volatility mean reversion - Identify when volatility is unusually high or low
- Straddle/strangle selection - Choose optimal strikes based on historical movement
Risk Management
- Position sizing - Adjust position size based on current volatility
- Stop-loss placement - Set stops based on expected price movement
- Portfolio volatility - Monitor individual asset volatility contribution
Market Analysis
- Regime identification - Detect transitions between low and high volatility environments
- Cross-market comparison - Compare volatility across different assets and markets
Why Accurate Trading Hours Matter
Standard HV indicators assume 24-hour trading or use simplified day counts, leading to significant errors in annualized volatility:
- 5-minute chart error : Can be off by 50%+ if using wrong period count
- Options pricing impact : Even 2-3% HV error affects option values substantially
- Intraday vs overnight : Correctly excludes non-trading periods
This indicator ensures your HV calculations match the methodology used in professional options pricing models.
Technical Notes
- Uses actual trading minutes, not calendar days
- Handles multiple clearing periods within a single trading day
- Properly scales volatility across all timeframes
- Logarithmic returns for more accurate volatility measurement
- Compatible with Pine Script v6
Author Notes: This indicator was designed specifically for options traders who need precise volatility measurements across different global markets. The customizable trading sessions ensure your HV calculations align with actual market hours and industry-standard options pricing models.
Volume Percentile Supertrend [BackQuant]Volume Percentile Supertrend
A volatility and participation aware Supertrend that automatically widens or tightens its bands based on where current volume sits inside its recent distribution. The goal is simple: fewer whipsaws when activity surges, faster reaction when the tape is quiet.
What it does
Calculates a standard Supertrend framework from an ATR on a volume weighted price source.
Measures current volume against its recent percentile and converts that context into a dynamic ATR multiplier.
Widens bands when volume is unusually high to reduce chop. Tightens bands when volume is unusually low to catch turns earlier.
Paints candles, draws the active Supertrend line and optional bands, and prints clear Long and Short signal markers.
Why volume percentile
Fixed ATR multipliers assume all bars are equal. They are not. When participation spikes, price swings expand and a static band gets sliced.
Percentiles place the current bar inside a recent distribution. If volume is in the top slice, the Supertrend allows more room. If volume is in the bottom slice, it expects smaller noise and tightens.
This keeps the same playbook usable across busy sessions and sleepy ones without constant manual retuning.
How it works
Volume distribution - A rolling window computes the Pth percentile of volume. Above that is flagged as high volume. A lower reference percentile marks quiet bars.
Dynamic multiplier - Start from a Base Multiplier. If bar is high volume, scale it up by a function of volume-to-average and a Sensitivity knob. If bar is low volume, scale it down. Smooth the result with an EMA to avoid jitter.
VWMA source - The price input for bands is a short volume weighted moving average of close. Heavy prints matter more.
ATR envelope - Compute ATR on your length. UpperBasic = VWMA + Multiplier x ATR. LowerBasic = VWMA - Multiplier x ATR.
Trailing logic - The final lines trail price so they only move in a direction that preserves Supertrend behavior. This prevents sudden flips from transient pokes.
Direction and signals - Direction flips when price crosses through the relevant trailing line. SupertrendLong and SupertrendShort mark those flips. The plotted Supertrend is the active trailing side.
Inputs and what they change
Volume Lookback - Window for percentile and average. Larger window = stabler percentile, smaller = snappier.
Volume Percentile Level - Threshold that defines high volume. Example 70 means top 30 percent of recent bars are treated as high activity.
Volume Sensitivity - Gain from volume ratio to the dynamic multiplier. Higher = bands expand more when volume spikes.
VWMA Source Length - Smoothing of the volume weighted price source for the bands.
ATR Length - Standard ATR window. Larger = slower, smaller = quicker.
Base Multiplier - Core band width before volume adjustment. Think of this as your neutral volatility setting.
Multiplier Smoothing - EMA on the dynamic multiplier. Reduces back and forth changes when volume oscillates around the threshold.
Show Supertrend on chart - Toggles the active line.
Show Upper Lower Bands - Draws both sides even when inactive. Good for context.
Paint candles according to Trend - Colors bars by trend direction.
Show Long and Short Signals - Prints 𝕃 and 𝕊 markers at flips.
Colors - Choose your long and short palette.
Reading the plot
Supertrend line - Thick line that hugs price from above in downtrends and from below in uptrends. Its distance breathes with volume.
Bands - Optional upper and lower rails. Useful to see the inactive side and judge how wide the envelope is right now.
Signals - 𝕃 prints when the trend flips long. 𝕊 prints when the trend flips short.
Candle colors - Quick bias read at a glance when painting is enabled.
Typical workflows
Trend following - Use 𝕃 flips to initiate longs and ride while bars remain colored long and price respects the lower trailing line. Mirror for shorts with 𝕊 and the upper trailing line. During high volume phases the line will give more room, which helps stay in the move.
Pullback adds - In an established trend, shallow tags toward the active line after a high volume expansion can be add points. The dynamic envelope adjusts to the session so your add distance is not fixed to a stale volatility regime.
Mean reversion filter - In quiet tape the multiplier contracts and flips come earlier. If you prefer fading, watch for quick toggles around the bands when volume percentile remains low. In high volume, avoid fading into the widened line unless you have other strong reasons.
Notes on behavior
High volume bar: the percentile gate opens, volRatio > 1 powers up the multiplier through the Sensitivity lever, bands widen, fewer false flips.
Low volume bar: multiplier contracts, bands tighten, flips can happen earlier which is useful when you want to catch regime changes in quiet conditions.
Smoothing matters: both the price source (VWMA) and the multiplier are smoothed to keep structure readable while still adapting.
Quick checklist
If you see frequent chop and today feels busy: check that volume is above your percentile. Wider bands are expected. Consider letting the trend prove itself against the expanded line before acting.
If everything feels slow and you want earlier entries: percentile likely marks low volume, so bands tighten and 𝕃 or 𝕊 can appear sooner.
If you want more or fewer flips overall: adjust Base Multiplier first. If you want more reaction specifically tied to volume surges: raise Volume Sensitivity. If the envelope breathes too fast: raise Multiplier Smoothing.
What the signals mean
SupertrendLong - Direction changed from non-long to long. 𝕃 marker prints. The active line switches to support below price.
SupertrendShort - Direction changed from non-short to short. 𝕊 marker prints. The active line switches to resistance above price.
Trend color - Bars painted long or short help validate context for entries and management.
Summary
Volume Percentile Supertrend adapts the classic Supertrend to the day you are trading. Volume percentile sets the mood, sensitivity translates it into dynamic band width, and smoothing keeps it clean. The result is a single plot that aims to stay conservative when the tape is loud and act decisively when it is quiet, without you having to constantly retune settings.
Intraday Rising & Reversal ScannerPine Script Description: Intraday Rising & Reversal ScannerThis Pine Script is a TradingView indicator designed to identify stocks with intraday (1-hour timeframe) potential for bullish (rising) or bearish (reversal) movements. It scans for stocks based on user-defined technical criteria, including price change, relative volume, RSI, EMA, ATR, and VWAP. The script plots signals on the chart, displays a summary table, and triggers alerts when conditions are met.FeaturesBullish Signal (Rising Stocks):1H Price Change: > 1% (configurable, e.g., >2% for volatile markets).
Relative Volume: > 2.0 (volume is at least twice the 20-period average).
RSI (14): Between 50 and 70 (strong but not overbought momentum).
Price vs EMA 13: Price above the 13-period EMA (confirms short-term uptrend).
ATR (14): Current ATR above its 20-period average (indicates volatility).
VWAP: Price above VWAP (optional, shown on chart for manual confirmation).
Bearish Signal (Reversal Stocks):1H Price Change: < -1% (configurable, e.g., <-2% for stronger reversals).
Relative Volume: > 2.0 (high volume confirms selling pressure).
RSI (14): > 70 (overbought, increasing reversal likelihood).
Price vs EMA 13: Price below the 13-period EMA (confirms short-term downtrend).
ATR (14): Current ATR above its 20-period average (indicates volatility).
VWAP: Price below VWAP (optional, shown on chart for manual confirmation).
Visualization:Bullish Signal: Green triangle below the bar.
Bearish Signal: Red triangle above the bar.
VWAP: Plotted as a blue line for manual verification.
Table: Displays real-time metrics (Change %, Relative Volume, RSI, Price vs EMA, ATR, VWAP) in the top-right corner, color-coded (green for bullish, red for bearish).
Alerts:Separate alerts for bullish ("Intraday Bullish Signal") and bearish ("Intraday Bearish Signal") conditions.
Customizable alert messages include parameter values for easy tracking.
How It WorksThe script runs on the 1-hour (1H) timeframe, ensuring all calculations are based on hourly data.
Indicators are computed:Change %: Percentage price change over the last hour.
Relative Volume: Current volume divided by the 20-period SMA of volume.
RSI: 14-period Relative Strength Index.
EMA 13: 13-period Exponential Moving Average.
ATR: 14-period Average True Range, compared to its 20-period SMA.
VWAP: Volume Weighted Average Price, plotted for visual confirmation.
Signals are generated when all conditions for either bullish or bearish criteria are met.
A table summarizes key metrics, and alerts can be set up for real-time notifications.
Usage InstructionsApply the Script:Open TradingView’s Pine Editor.
Copy and paste the script.
Click "Add to Chart" and set the chart to the 1-hour (1H) timeframe.
Set Up Alerts:Right-click on the chart > "Add Alert".
Select "Intraday Bullish Signal" or "Intraday Bearish Signal" as the condition.
Configure notifications (e.g., SMS, email, or TradingView alerts).
Manual VWAP Check:VWAP is plotted as a blue line. Verify that the price is above VWAP for bullish signals or below for bearish signals using the table or chart.
To make VWAP a mandatory filter, uncomment the VWAP conditions in the bull_signal and bear_signal definitions.
HTF Candle Highs and Lows with Labels + High Probability Signals█ OVERVIEW
This indicator overlays Weekly, Daily, and H4 High/Low levels directly onto your chart, allowing traders to visualize key support and resistance zones from higher timeframes. It also includes high probability breakout signals that appear one candle after a confirmed breakout above or below these levels, filtered by volume and candle strength.
Use this tool to identify breakout opportunities with greater confidence and clarity.
█ FEATURES
• Plots Weekly, Daily, and H4 High and Low levels using request.security. • Customizable line colors, widths, and label sizes. • Toggle visibility for each timeframe independently. • Signals appear one candle after a confirmed breakout: • Bullish: Close above HTF High, strong candle, high volume. • Bearish: Close below HTF Low, strong candle, high volume. • Signal shapes match the color of the broken level for visual clarity.
█ HOW TO USE
1 — Enable the timeframes you want to track using the input toggles. 2 — Watch for triangle-shaped signals: • Upward triangle = Bullish breakout. • Downward triangle = Bearish breakout. 3 — Confirm the breakout: • Candle closes beyond the HTF level by at least 0.1%. • Candle body shows momentum (close > open for bullish, close < open for bearish). • Volume exceeds 20-period average. 4 — Enter trade on the candle after the signal. 5 — Use the HTF level as a reference for stop-loss placement. 6 — Combine with other indicators (e.g., RSI, EMA) for confluence.
█ LIMITATIONS
• Signals may lag by one candle due to confirmation logic. • Not optimized for low-volume assets or illiquid markets. • Best used in trending environments; avoid during consolidation. • Does not include automatic alerts (can be added manually).
█ BEST PRACTICES
• Use on H1 or higher timeframes for cleaner signals. • Avoid trading during news events or low volatility. • Backtest thoroughly before live trading. • Adjust breakout percentage and volume filter based on asset volatility. • Maintain a trading journal to track performance.
