ATR SL/TP Precision Zones (Dots)ATR SL/TP Precision Zones (Dots) is a volatility-based tool designed to help traders set accurate Stop Loss and Take Profit levels based on real market volatility — not fixed pips or emotion.
This indicator uses ATR (Average True Range) multiplied by 1.2 to calculate dynamic distance bands.
Instead of drawing a ribbon or channel, it places simple dots above and below each candle:
Upper Dot (Green) → Suggested Take Profit / Price Stretch Zone
Lower Dot (Red) → Suggested Stop Loss Cushion / Support Expansion Zone
Because ATR measures market volatility, these dots expand during high volatility and tighten during slow markets, helping traders avoid stop-loss hunts and premature exits.
Why This Works
Most traders lose because:
They set SL too close → stopped out by noise
They set TP too far → price never reaches it
This tool calibrates those distances automatically based on real price movement behavior.
ATR = volatility
Volatility = market breathing room
This indicator ensures your trade has room to breathe, increasing win consistency.
Best Use Cases
Scalping
Swing trading
Trend continuation entries
Reversal confirmations with support/resistance
Works on Crypto / Forex / Stocks / Futures
תנודתיות
ATR/ADX Trend Table - Compact & Positionable (Fixed init)Table to determine qualified ATR & ADX DI for follow trend entry
super trader Prosuper trader Pro
super trader Pro
super trader Pro
super trader Pro
super trader Pro
Inter-symmetric Forecast (ISF)Concept:
The Inter-Symmetric Forecast (ISF) is a physics-inspired price projection tool that visualizes both trend-continuation and mean-reversion scenarios in one dynamic structure. It extends the classic ADAM Projection by introducing a regime-sensitive weighting based on the Market Reynolds Number (Reₘ), a dimensionless ratio of market momentum × liquidity to volatility-derived “viscosity.”
Mechanism:
ISF mirrors past price action around the current close (the continuation path) while also forward-pasting the same pattern unreflected (the anti-trend path). It then blends these paths bar-by-bar using time-reflected Reₘ values — meaning the liquidity-momentum regime of each past segment determines how much its future mirror leans toward continuation or reversion.
Interpretation:
High Reₘ → strong inertia/liquidity, favors trend continuation.
Low Reₘ → high friction/volatility, favors mean reversion.
The yellow blended forecast shows the regime-weighted midpoint between both outcomes.
Use:
ISF offers traders a visual probability corridor rather than a fixed prediction — illustrating how far a move might extend if momentum persists, or fade if conditions become viscous. It’s best used as a contextual forecasting overlay for discretionary or systematic analysis.
News & Liquidity -4 UTC [CLEVER]📊 “News & Liquidity -4 UTC ” — written in TradingView Pine Script v6:
🧠 Indicator Overview
This indicator is designed to help traders avoid high-risk trading periods — such as during news releases or unusually high liquidity spikes — while still identifying safe buy and sell opportunities using a simple moving average (SMA) crossover system.
It works best
🧠 Purpose
This indicator helps traders:
Avoid trading during high-risk times — such as scheduled news events or sudden liquidity spikes (unusually high volume).
Identify potential trade opportunities based on a simple moving average (SMA) crossover strategy.
It’s designed for traders who want to trade safely and efficiently by combining technical analysis (SMA signals) with market awareness (news and liquidity).
⚙️ Technical Description
1. **News Events Detection (UTC- OANDA:XAUUSD CRYPTO:BTCUSD TVC:DXY TVC:USOIL
tradingview_momentum_Hull-Suite-W-FVSO-NO-WeekendMomentum no weekend trades. It uses FVZO and Hull suite.
This strategy has low win rate but successfully catches trends. Works well on ETH in High Time Frame multi-year.
Hindenburg OmenThe Hindenburg Omen highlights periods of internal market stress — when both new 52-week highs and new lows expand while the NYSE remains in an uptrend.
This condition often precedes major corrections or volatility spikes by revealing divergence beneath the surface of an advancing market.
The indicator triggers when four classic breadth rules align: elevated highs and lows, a positive trend, a negative McClellan Oscillator, and a highs-to-lows ratio under 2:1.
Use it on broad indices (NYSE, S&P 500) as an early-warning context tool, NOT a standalone sell signal.
Quantura - Supply & Demand Zone DetectionIntroduction
“Quantura – Supply & Demand Zone Detection” is an advanced indicator designed to automatically detect and visualize institutional supply and demand zones, as well as breaker blocks, directly on the chart. The tool helps traders identify key areas of market imbalance and potential reversal or continuation zones, based on price structure, volume, and ATR dynamics.
Originality & Value
This indicator provides a unique and adaptive method of zone detection that goes beyond simple pivot or candle-based logic. It merges multiple layers of confirmation—volume sensitivity, ATR filters, and swing structure—while dynamically tracking how zones evolve as the market progresses. Unlike traditional supply and demand indicators, this script also detects and plots Breaker Zones when previous imbalances are violated, giving traders an extra layer of market context.
The key values of this tool include:
Automated detection of high-probability supply and demand zones.
Integration of both volume and ATR filters for precision and adaptability.
Dynamic zone merging and updating based on price evolution.
Identification of breaker blocks (invalidated zones) to visualize market structure shifts.
Optional bullish and bearish trade signals when zones are retested.
Clear, visually optimized plotting for efficient chart interpretation.
Functionality & Core Logic
The indicator continuously scans recent price data for swing highs/lows and combines them with optional volume and ATR conditions to validate potential zones.
Demand Zones are formed when price action indicates accumulation or a strong bullish rejection from a low area.
Supply Zones are created when distribution or strong bearish rejection occurs near local highs.
Breaker Blocks appear when existing zones are invalidated by price, helping traders visualize potential market structure shifts.
Bullish and bearish signals appear when price re-enters an active zone or breaks through a breaker block.
Parameters & Customization
Demand Zones / Supply Zones: Enable or disable each individually.
Breaker Zones: Activate breaker block detection for invalidated zones.
Volume Filter: Optional filter to only confirm zones when volume exceeds its long-term average by a user-defined multiplier.
ATR Filter: Optional filter for volatility confirmation, ensuring zones form under strong momentum conditions.
Swing Length: Controls the number of bars used to detect structural pivots.
Sensitivity Controls: Adjustable ATR and volume multipliers to fine-tune detection responsiveness.
Signals: Toggle for on-chart bullish (▲) and bearish (▼) signal plotting when price interacts with zones.
Color Customization: User-defined bullish and bearish colors for both standard and breaker zones.
Core Calculations
Zones are detected using pivot highs and lows with a defined lookback and lookahead period.
Additional filters apply if ATR and volume are enabled, requiring conditions like “ATR > average * multiplier” and “Volume > average * multiplier.”
Detected zones are merged if overlapping, keeping the chart clean and logical.
When price breaks through a zone, the original box is closed, and a new breaker zone is plotted automatically.
Bullish and bearish markers appear when zones are retested from the opposite side.
Visualization & Display
Demand zones are shaded in semi-transparent bullish color (default: blue).
Supply zones are shaded in semi-transparent bearish color (default: red).
Breaker zones appear when previous imbalances are broken, helping to spot structural shifts.
Optional arrows (▲ / ▼) indicate potential buy or sell reactions on zone interaction.
Use Cases
Identify institutional areas of accumulation (demand) or distribution (supply).
Detect potential breakout traps and market structure shifts using breaker zones.
Combine with other tools such as volume profile, EMA, or liquidity indicators for deeper confirmation.
Observe retests and reactions of zones to anticipate possible reversals or continuations.
Apply multi-timeframe analysis to align higher timeframe zones with lower timeframe entries.
Limitations & Recommendations
The indicator does not predict future price movement; it highlights structural imbalances only.
Performance depends on chosen swing length and sensitivity—users should optimize parameters for each market.
Works best in volatile markets where supply and demand imbalances are clearly expressed.
Should be used as part of a broader trading framework, not as a standalone signal generator.
Markets & Timeframes
The “Quantura – Supply & Demand Zone Detection” indicator is suitable for all asset classes including cryptocurrencies, Forex, indices, commodities, and equities. It performs reliably across multiple timeframes, from intraday scalping to higher timeframe swing analysis.
Author & Access
Developed 100% by Quantura. Published as a Open-source script indicator. Access is free.
Important
This description complies with TradingView’s Script Publishing and House Rules. It clearly explains the indicator’s originality, underlying logic, functionality, and intended use without unrealistic claims or performance guarantees.
Sigma Trinity ModelAbstract
Sigma Trinity Model is an educational framework that studies how three layers of market behavior interact within the same trend: (1) structural momentum (Rasta), (2) internal strength (RSI), and (3) continuation/compounding structure (Pyramid). The model deliberately combines bar-close momentum logic with intrabar, wick-aware strength checks to help users see how reversals form, confirm, and extend. It is not a signal service or automation tool; it is a transparent learning instrument for chart study and backtesting.
Why this is not “just a mashup”
Many scripts merge indicators without explaining the purpose. Sigma Trinity is a coordinated, three-engine study designed for a specific learning goal:
Rasta (structure): defines when momentum actually flips using a dual-line EMA vs smoothed EMA. It gives the entry/exit framework on bar close for clean historical study.
RSI (energy): measures internal strength with wick-aware triggers. It uses RSI of LOW (for bottom touches/reclaims) and RSI of HIGH (for top touches/exhaustion) so users can see intrabar strength/weakness that the close can hide.
Pyramid (progression): demonstrates how continuation behaves once momentum and strength align. It shows the logic of adds (compounding) as a didactic layer, also on bar close to keep historical alignment consistent.
These three roles are complementary, not redundant: structure → strength → progression.
Architecture Overview
Execution model
Rasta & Pyramid: bar close only by default (historically stable, easy to audit).
RSI: per tick (realtime) with bar-close backup by default, using RSI of LOW for entries and RSI of HIGH for exits. This makes the module sensitive to intra-bar wicks while still giving a close-based safety net for backtests.
Stops (optional in strategy builds): wick-accurate: trail arms/ratchets on HIGH; stop hit checks with LOW (or Close if selected) with a small undershoot buffer to avoid micro-noise hits.
Visual model
Dual lines (EMA vs smoothed EMA) for Rasta + color fog to see direction and compression/expansion.
Rungs (small vertical lines) drawn between the two Rasta lines to visualize wave spacing and rhythm.
Clean labels for Entry/Exit/Pyramid Add/RSI events. Everything is state-locked to avoid spamming.
Module 1 — Rasta (Structural Momentum Layer)
Goal: Identify structural momentum reversals and maintain a consistent, replayable backbone for study.
Method:
Compute an EMA of a chosen price source (default Close), and a smoothed version (SMA/EMA/RMA/WMA/None selectable).
Flip points occur when the EMA line crosses the smoothed line.
Optional EMA 8/21 trend filter can gate entries (long-bias when EMA8 > EMA21). A small “adaptive on flip” option lets an entry fire when the filter itself flips to ON and the EMA is already above the smoothed line—useful for trend resumption.
Why bar close only?
Bar-close Rasta gives a stable, auditable timeline for the structure of the trend. It teaches users to separate “structure” (close-resolved) from “energy” (intrabar, via RSI).
Visuals:
Fog between the lines (green/red) to show regime.
Rungs between lines to show spread (compression vs expansion).
Optional plotting of EMA8/EMA21 so users can see the gating effect.
Module 2 — RSI (Internal Strength / Energy Layer)
Goal: Reveal the intrabar strength/weakness that often precedes or confirms structural flips.
Method:
Standard RSI with adjustable length and signal smoothing for the panel view.
Logic uses wick-aware sources:
Entry trigger: RSI of LOW (same RSI length) touching or below a lower band (default 15). Think of it as intraband reactivation from the bottom, using the candle’s deepest excursion.
Exit trigger: RSI of HIGH touching or above an upper band (default 85). Think of it as exhaustion at the top, using the candle’s highest excursion.
Realtime + Close Backup: fires intrabar on tick, but if the realtime event was missed, the close backup will note it at bar end.
Cooldown control: optional bars-between-signals to avoid rapid re-triggers on choppy sequences.
Why wick-aware RSI?
A close-only RSI can miss the true micro-extremes that cause reversals. Using LOW/HIGH for triggers captures the behavior that traders actually react to during the bar, while the bar-close backup preserves historical reproducibility.
Module 3 — Pyramid (Continuation / Compounding Layer)
Goal: Teach how continuation behaves once a trend is underway, and how adds can be structured.
Method:
Same dual-line logic as Rasta (EMA vs smoothed EMA), but only fires when already in a position (or after prior entry conditions).
Supports the same EMA 8/21 filter and optional adaptive-on-flip behavior.
Bar close only to maintain historical cohesion.
What it teaches:
Adds tend to cluster when momentum persists.
Students can experiment with add spacing and compare “one-shot entries” vs “laddered adds” during strong regimes.
How the Pieces Work Together
Rasta establishes the structural frame (when the wave flip is real enough to record at close).
RSI validates or challenges that structure by tracking intrabar energy at the extremes (low/high touches).
Pyramid shows what sustained continuation looks like once (1) and (2) align.
This produces a layered view: Structure → Energy → Progression. Users can see when all three line up (strongest phases) and when they diverge (riskier phases or transitions).
How to Use It (Step-by-Step)
Quick Start
Apply script to any symbol/timeframe.
In Strategy/Indicator Properties:
Enable On every tick (recommended).
If available, enable Using bar magnifier and choose a lower resolution (e.g., 1m) to simulate intrabar fills more realistically.
Keep On bar close unchecked if you want to observe realtime logic in live charts (strategies still place orders on close by platform design).
Default behavior: Rasta & Pyramid = bar close; RSI = per tick with close backup.
Reading the Chart
Watch for Rasta Entry/Exit labels: they define clean structural turns on close.
Watch RSI Entry (LOW touch at/below lower band) and RSI Exit (HIGH touch at/above upper band) to gauge internal energy extremes.
Pyramid Add labels reveal continuation phases once a move is already in progress.
Tuning
Rasta smoothing: choose SMA/EMA/RMA/WMA or None. Higher smoothing → later but cleaner flips; lower smoothing → earlier but choppier.
RSI bands: a common educational setting is 15/85 for strong extremes; 20/80 is a bit looser.
Cooldown: increase if you see too many RSI re-fires in chop.
EMA 8/21 filter: toggle ON to study “trend-gated” entries, OFF to study raw momentum flips.
Backtesting Notes (for Strategy Builds)
Stops (optional): trail is armed when price advances by a trigger (default D–F₀), ratchets only upward from HIGH, and hits from LOW (or Close if chosen) with a tiny undershoot buffer to avoid micro-wicks.
Order sequencing per bar (mirrors the script’s code comments):
Trail ratchet via HIGH
Intrabar stop hit via LOW/CLOSE → immediate close
If still in position at bar close: process exits (Rasta/RSI)
If still in position at bar close: process Pyramid Add
If flat at bar close: process entries (Rasta/RSI)
Platform reality: strategies place orders at bar close in historical testing; the intrabar logic improves realism for stops and event marking but final order timestamps are still close-resolved.
Inputs Reference (common)
Modules: enable/disable RSI and Pyramid learning layers.
Rasta: EMA length, smoothing type/length, EMA8/21 filter & adaptive flip, fog opacity, rungs on/off & limit.
RSI: RSI length, signal MA length (panel), Entry band (LOW), Exit band (HIGH), cooldown bars, labels.
Pyramid: EMA length, smoothing, EMA8/21 filter & adaptive adds.
Execution: toggle Bar Close Only for Rasta/Pyramid; toggle Realtime + Close Backup for RSI.
Stops (strategy): Fixed Stop % (first), Fixed Stop % (add), Trail Distance %, Trigger rule (auto D–F₀ or custom), undershoot buffer %, and hit source (LOW/CLOSE).
What to Study With It
Convergence: how often RSI-LOW entry touches precede the next Rasta flip.
Divergence: cases where RSI screams exhaustion (HIGH >= upper band) but Rasta hasn’t flipped yet—often transition zones.
Continuation: how Pyramid adds cluster in strong moves; how spacing changes with smoothing/filter choices.
Regime changes: use EMA8/21 filter toggles to see what happens at macro turns vs chop.
Limitations & Scope
This is a learning tool, not a trade copier. It does not provide financial advice or automated execution.
Intrabar results depend on data granularity; bar magnifier (when available) can help simulate lower-resolution ticks, but true tick-by-tick fills are a platform-level feature and not guaranteed across all symbols.
Suggested Publication Settings (Strategy)
Initial capital: 100
Order size: 100 USD (cash)
Pyramiding: 10
Commission: 0.25%
Slippage: 3 ticks
Recalculate: ✓ On every tick
Fill orders: ✓ Using bar magnifier (choose 1m or similar); leave On bar close unchecked for live viewing.
Educational License
Released under the Michael Culpepper Gratitude License (2025).
Use and modify freely for education and research with attribution. No resale. No promises of profitability. Purpose is understanding, not signals.
Quantura - Trendchange ZonesIntroduction
“Quantura – Trendchange Zones” is an advanced technical indicator that identifies and visualizes potential market reversal zones using dynamic RSI-based logic. It highlights areas of overbought and oversold conditions, marking them as visual zones directly on the price chart, and generates corresponding bullish and bearish signals when the RSI exits these extremes. The tool helps traders anticipate possible trend change regions and confirm momentum shifts in a clean, intuitive way.
Originality & Value
Unlike traditional RSI indicators that only show a static oscillator, this tool transforms RSI behavior into on-chart visual zones that represent structural overbought and oversold phases. It converts RSI threshold breaches into price-based regions (boxes) and marks reversal signals at the moment of momentum change.
The indicator’s originality and usefulness come from its:
Direct visualization of RSI overbought and oversold areas as dynamic chart zones.
Automatic detection of potential reversal regions where momentum exhaustion is likely.
Integration of RSI-based signals and visual cues without requiring users to monitor the RSI window.
Adjustable sensitivity for RSI length and upper/lower levels.
Clear color-coded separation of bullish and bearish phases.
Functionality & Core Logic
The indicator continuously monitors RSI values relative to the user-defined thresholds.
When RSI moves above the upper level, an Overbought Zone is created and extends until RSI falls back below that threshold.
When RSI moves below the lower level, an Oversold Zone is generated and extends until RSI returns above that level.
When RSI exits one of these zones, a corresponding Trendchange Signal (▲ bullish or ▼ bearish) appears at the transition point.
Each zone dynamically adjusts its high and low levels during formation, representing the complete range of the exhaustion phase.
Parameters & Customization
RSI Length: Defines the sensitivity of RSI calculation. Shorter lengths make signals more responsive; longer lengths filter noise.
Upper Level / Lower Level: Set thresholds for overbought and oversold conditions (default 70 / 30).
Signals: Toggle on/off for displaying bullish (▲) and bearish (▼) reversal signals.
Zones: Toggle the visualization of shaded RSI-based zones.
Colors: Fully customizable bullish and bearish colors for both signals and zones.
Visualization & Display
Bullish reversal zones (oversold exits) are shaded using the chosen bullish color (default: blue).
Bearish reversal zones (overbought exits) are shaded using the chosen bearish color (default: red).
Each completed zone is outlined and filled with transparent shading for better clarity.
Reversal arrows (▲ for bullish, ▼ for bearish) are displayed at the bar where RSI exits the extreme level.
Clean overlay design ensures compatibility with any chart style or color scheme.
Use Cases
Identify overbought and oversold periods directly on the price chart without switching to the RSI window.
Anticipate potential market reversals or exhaustion points based on RSI momentum shifts.
Combine with trend indicators, moving averages, or volume tools for confirmation.
Apply across multiple timeframes to align short-term reversal signals with higher timeframe momentum.
Use zone width and duration to assess the strength and persistence of overbought/oversold conditions.
Limitations & Recommendations
The indicator is not a standalone trading system but a visual confirmation tool.
False signals may occur in strongly trending markets where RSI remains overextended.
Optimal RSI settings may differ between assets (e.g., crypto vs. equities).
Combining this indicator with additional trend or structure filters can enhance accuracy.
Markets & Timeframes
The “Quantura – Trendchange Zones” indicator works across all markets and timeframes, including cryptocurrencies, Forex, stocks, and commodities. It is suitable for both short-term scalping and long-term swing analysis.
Author & Access
Developed 100% by Quantura. Published as a Open-source script indicator. Access is free.
Important
This description complies with TradingView’s Script Publishing and House Rules. It provides a clear explanation of the indicator’s originality, logic, and function while avoiding unrealistic performance or predictive claims.
Quantura - Fair Value GapIntroduction
“Quantura – Fair Value Gap” is a precision-engineered institutional concept indicator designed to automatically identify, visualize, and manage Fair Value Gaps (FVGs) across any market or timeframe. It enables traders to observe price inefficiencies, potential liquidity voids, and retracement areas that often act as magnets for price rebalancing.
Originality & Value
Unlike many public FVG scripts that only highlight candle gaps, this indicator integrates dynamic filters and adaptive logic to determine the strength and reliability of each gap. It merges overlapping zones intelligently and optionally extends valid imbalances forward for ongoing reference.
Its value lies in:
Dynamic statistical filtering based on gap standard deviation.
Optional volume confirmation for high-confidence FVGs.
Automatic merging of overlapping or adjacent gaps for clean visualization.
Support for both bullish and bearish imbalances.
Signal alerts when gaps are filled or rebalanced by price.
Functionality & Core Logic
Detects Fair Value Gaps by comparing candle-to-candle price displacement.
Applies a Gap Filter (standard deviation-based) to qualify valid gaps.
Optionally validates gaps formed under significant volume conditions.
Draws color-coded boxes to mark bullish (discount) and bearish (premium) inefficiencies.
Monitors each FVG until price fills the gap, at which point the box is visually closed.
Provides optional signal markers (“▲” or “▼”) when rebalancing occurs.
Parameters & Customization
Gap Filter: Sets the minimum statistical deviation required for a valid FVG. Higher values detect fewer, stronger gaps.
Volume Filter: Toggles additional validation using relative volume strength.
Volume Sensitivity: Adjusts how much above-average volume must be present to confirm a gap.
Bullish/Bearish Colors: Customize color schemes for imbalance zones.
Extend Gaps: Optionally extend open gaps forward for better confluence tracking.
Signals: Enables or disables gap-fill signal markers.
Visualization & Display
Bullish FVGs: Appear in blue-tinted boxes, indicating potential demand-side inefficiencies.
Bearish FVGs: Appear in red-tinted boxes, representing potential supply-side inefficiencies.
Overlapping zones are merged automatically to maintain clarity.
Filled gaps remain visible for historical context, allowing for post-event analysis.
Optional signal arrows display when price returns to rebalance an FVG.
Use Cases
Identify institutional inefficiencies and liquidity voids.
Detect premium and discount levels in trending markets.
Combine with market structure or order block indicators for confluence.
Track when price rebalances inefficiencies to refine entry/exit points.
Build FVG-based algorithmic strategies that rely on structural imbalance resolution.
Limitations & Recommendations
The indicator detects structural imbalances but does not predict future direction or guarantee profitability.
Volume filters may behave differently across brokers due to data-source differences.
Use alongside structure or liquidity tools for enhanced decision-making.
Extreme volatility or illiquid assets may generate temporary invalid gaps.
Markets & Timeframes
Compatible with all markets (crypto, forex, equities, indices, futures) and all timeframes. Recommended for multi-timeframe confluence analysis — e.g., detecting higher-timeframe FVGs and refining lower-timeframe entries.
Author & Access
Developed 100% by Quantura. Published as a Open-source script indicator. Access is free.
Compliance Note
This description adheres fully to TradingView’s House Rules and Script Publishing Requirements . It provides a detailed explanation of originality, core logic, limitations, and appropriate use — with no unrealistic or misleading performance claims.
ATR + High/Lows//@version=6
indicator('ATR + Values', overlay = true)
// ========================
// === User Inputs ===
// ========================
showATR = input.bool(true, 'Show ATR/Move Table')
showHLR = input.bool(true, 'Show HL/R Table')
atrLength = input.int(14, 'ATR Period')
textColor = input.color(color.rgb(247, 242, 242), 'Default Text Color')
backgroundCol = input.color(color.rgb(0, 0, 0), 'Background Color')
rowOffset = input.int(0, 'Vertical Offset (rows)', minval = 0, maxval = 10)
colOffset = input.int(0, 'Horizontal Offset (columns)', minval = 0, maxval = 100)
var string tz = 'America/New_York'
// ========================
// === ATR / Move Logic ===
// ========================
dailyATRseries = request.security(syminfo.tickerid, 'D', ta.atr(atrLength), lookahead = barmerge.lookahead_off)
dailyATRprev = dailyATRseries
newDayID = year(time, tz) * 10000 + month(time, tz) * 100 + dayofmonth(time, tz)
var int lastDayID = na
var float dayHigh = na
var float dayLow = na
var float fixedATR = na
isNewSession = na(lastDayID) or newDayID != lastDayID
after4am = hour(time, tz) >= 4
firstBarAfter4 = isNewSession and after4am and not(hour(time , tz) >= 4 and newDayID == year(time , tz) * 10000 + month(time , tz) * 100 + dayofmonth(time , tz))
if firstBarAfter4
dayHigh := high
dayLow := low
lastDayID := newDayID
fixedATR := dailyATRprev
else
dayHigh := math.max(dayHigh, high)
dayLow := math.min(dayLow, low)
intradayRange = dayHigh - dayLow
moveBg = intradayRange > fixedATR ? color.new(color.red, 77) : color.new(color.teal, 74)
// ========================
// === ATR + Move Table ===
// ========================
var table atrTable = table.new(position.top_right, 1, 2, border_width = 1, border_color = color.rgb(255, 255, 255))
if barstate.islast and showATR
table.clear(atrTable, 0, 0)
// Row 0: ATR Value
table.cell(atrTable, 0, 0, str.tostring(fixedATR, format.mintick),
bgcolor=color.rgb(0, 0, 0),
text_color=color.rgb(247, 242, 242),
text_halign=text.align_center)
// Row 1: Move Value (colored)
table.cell(atrTable, 0, 1, str.tostring(intradayRange, format.mintick),
bgcolor=moveBg,
text_color=color.rgb(247, 242, 242),
text_halign=text.align_center)
else
table.clear(atrTable, 0, 0)
// ========================
// === HL / Range Logic ===
// ========================
prevHigh = high
prevLow = low
currHigh = high
currLow = low
rangeHL = currHigh - currLow
rangeHL1 = prevHigh - prevLow
col1Text = str.tostring(rangeHL1, '0.00')
col2Text = str.tostring(prevHigh, '0.00') + ' ' + str.tostring(prevLow, '0.00')
col3Text = str.tostring(currHigh, '0.00') + ' ' + str.tostring(currLow, '0.00')
col4Text = str.tostring(rangeHL, '0.00')
prevColor = close > open ? color.rgb(64, 224, 208) : color.rgb(253, 143, 100)
currColor = close > open ? color.rgb(64, 224, 208) : color.rgb(253, 143, 100)
// ========================
// === HL / Range Table ===
// ========================
var table hlTable = table.new(position.top_center, 4 + colOffset, rowOffset + 1)
if barstate.islast and showHLR
for row = 0 to rowOffset by 1
for col = 0 to 3 + colOffset by 1
table.cell(hlTable, col, row, '', bgcolor = na)
row = rowOffset
colStart = colOffset
table.cell(hlTable, colStart + 0, row, col1Text, text_color = textColor, bgcolor = backgroundCol, text_halign = text.align_center, text_size = size.large)
table.cell(hlTable, colStart + 1, row, col2Text, text_color = prevColor, bgcolor = backgroundCol, text_halign = text.align_center, text_size = size.normal)
table.cell(hlTable, colStart + 2, row, col3Text, text_color = currColor, bgcolor = backgroundCol, text_halign = text.align_center, text_size = size.normal)
table.cell(hlTable, colStart + 3, row, col4Text, text_color = textColor, bgcolor = backgroundCol, text_halign = text.align_center, text_size = size.large)
else
table.clear(hlTable, 0, 0)
Cloud and Table - Ostinato TradingMain indicator of Ostinato Trading, the moving averages cloud and table. You can superpose various moving averages, bollinger bands and their color fill. Additionaly the table is used to plot the distance from the price to moving averages, the ATR value, the stop loss ... You can also plot a bulls eyes of SL and TP in points to visualise it on the chart.
PSAR with ATR Trailing Stop + SMA Filter📈 Strategy Overview: PSAR + 6×ATR Trailing Stop with SMA Filter
This strategy is built around the principle of “Cut the losers, let the winners run” — a disciplined, trend-following approach that combines the Parabolic SAR indicator with dynamic risk management and a Simple Moving Average (SMA) trend filter.
🔍 Strategy Logic
Trend Filter Trades are only taken in the direction of the prevailing trend, defined by a user-selected SMA (default: 100).
✅ Long trades only when price is above the SMA
✅ Short trades only when price is below the SMA
Entry Signal: A trade is triggered when the Parabolic SAR flips to the opposite side of the price bars, signaling a potential trend reversal.
Stop Loss: The stop loss is dynamically set at 6×ATR from the entry price. This adapts to market volatility and is recalculated every bar — effectively acting as a trailing stop.
Exit Logic: There is no fixed take profit. The trade remains open until the trailing stop is hit — allowing winners to run and losers to be cut quickly.
Risk Management: Each trade risks 0.5% of total equity, ensuring consistent position sizing and capital preservation.
📊 Visual Elements
PSAR dots mark trend direction changes
SMA line shows the broader trend filter
Trailing stop crosses (with 50% opacity) indicate the current stop level without cluttering the chart
⚙️ Customizable Inputs
PSAR parameters: Start, Increment, Maximum
ATR length and multiplier
SMA length
Risk percentage per trade
This strategy is ideal for traders who want to stay aligned with the trend, automate disciplined exits, and avoid emotional decision-making. Clean, simple, and powerful.
Wishing you calm and successful trades!
Period Range AnalyzerThis indicator analyzes a specific periodic range, which can start from a fixed date or a defined lookback period. It draws percentage levels and colored zones between the highest and lowest price. It also displays a detailed information table, which shows the price's position within the range in "Trend" mode, and the relative strength of currency pairs in "Forex" mode. The current price position is also indicated by a label with a percentage value and the name of the corresponding zone.
User Guide
Calculation Method
This setting determines how the indicator defines the range used for the calculation.
Lookback Period: In this mode, the indicator uses the last N candles (the number can be specified in the "Lookback Period (bars)" field). The range (the highest and lowest price) is "floating," meaning it is recalculated with each new candle based on the last N candles.
Date Based: In this mode, the calculation starts from a fixed date and time you select. The indicator finds the opening price of the start date and continuously tracks the highest and lowest price from that point on. This mode is ideal for measuring performance from a specific event (e.g., start of a week/month/year, news).
Data Handling Note: If you select a date in "Date Based" mode for which no data is available on the current timeframe (e.g., switching to a very low timeframe), the indicator will automatically use the earliest available candle as the starting point. All calculations (Open, Max, Min, Range, Percentage, Change, Trend) are based on this actual start date.
Start Date & Time
This setting is only active in "Date Based" mode.
Here you can specify the fixed starting point for the calculation.
The specified time is in the Exchange timezone.
Important limitation: Due to TradingView platform limits, visual elements (levels, zones) are only drawn for a maximum of 250 candles back. If the set date is older than this, the calculation still applies to the entire period (from the set date), but the drawing only covers the last 250 candles. The table always displays accurate data for the entire period.
When switching to a higher timeframe, the range may restart from a slightly later bar due to TradingView's bar alignment. For best accuracy, set your timeframe first, then select the start date.
Table Mode
This setting controls what data the information table displays.
Trend: This is the default mode, which works on any symbol (stock, index, crypto, etc.). It displays information related to the trend and the range.
Forex: This is a special mode used to measure the strength of currency and crypto pairs. It only works on symbols with exactly 6 characters (e.g., "EURUSD", "BTCUSD"). It treats the first 3 characters as the base currency (e.g., EUR) and the last 3 as the quote currency (e.g., USD). If the symbol does not have 6 characters, the table will automatically display in "Trend" mode.
Trend
This trend determination operates based on the formation order of the high and low within the analyzed range:
Its switch is located in the “Table Additional Rows” menu.
Bullish: Indicated if the low was formed before the high (on different candles). Or if they formed on the same candle, it was a bullish candle.
Bearish: Indicated if the high was formed before the low (on different candles). Or if they formed on the same candle, it was a bearish candle.
Neutral: Indicated if the high and low formed on the same candle, and it was a "doji" candle (close = open).
Upper & Lower Threshold
These settings (Upper Threshold (%) and Lower Threshold (%) in the "Label Coloring" section) primarily determine the state (Bullish/Bearish/Neutral) of the top row of the table.
The logic is not based on the percentage change of the price movement, but on the current price's position within the range, where the bottom of the range is 0% and the top is 100%.
Upper Threshold (%): The percentage level (e.g., 60.0) above which the indicator considers the price position "Bullish" (or "Strong").
Lower Threshold (%): The percentage level (e.g., 40.0) below which the indicator considers the price position "Bearish" (or "Weak").
If the price is between the two (e.g., between 40% and 60%), the signal is Neutral.
Secondary function: These thresholds also control the color of the label next to the price, provided the "Dynamic Label Coloring" option is enabled.
SMC ORB vs Pre-Market SPY/IWMStacks institutional confluences such as Smart Money Concepts, Inner Circle Trading, volatility, and structure.
Plots Premarket high/low and 15 minute Opening range
Plots the first sweep of Premarket high/low and any subsequent orb breaks
SMC ORB vs PM ALPHADesigned to stack institutional confluences such as Smart Money Concepts, Inner Circle Trading, volatility, and market structure.
Plots pre-market high/low and 15 Opening Range.
Plots first sweep of Pre-market high/low as well as orb break/holds.
TP of Previous high/low & SL optional
KD-NewAutoTrade for Future Trading - Heikin Ashi candles The KD-NewAutoTrade strategy is a dynamic trend-following indicator designed for scalping and swing trading across crypto, forex, and index futures. It combines the precision of EMA crossovers, RSI momentum, and ADX trend strength to deliver clear Buy/Sell signals with high reliability.
🔹 Core Logic
EMA Fast & Slow Crossover – Identifies short-term and long-term trend shifts.
RSI Confirmation – Filters out false signals by requiring RSI to cross custom Buy/Sell thresholds.
ADX Filter – Ensures trades only trigger when market trend strength exceeds your chosen ADX minimum.
🔹 Key Features
Visual Buy/Sell triangles directly on the chart.
Customizable inputs for EMA, RSI, and ADX lengths.
Works efficiently on all timeframes and all markets (Crypto, Indices, Stocks, Commodities).
Optional background highlights for active trade zones.
Alert conditions for both BUY and SELL setups – ready to use in automated strategies or alert bots.
🔹 Recommended Usage
Use Heikin Ashi candles
Works best on 1M - 5M timeframes.
Combine with volume or higher-timeframe trend confirmation for stronger signals.
ATM Pulse (Arjo)ATM Pulse (Arjo) — Real-Time ATM Options Sentiment & Trend Strength Indicator
Overview
ATM Pulse (Arjo) is an options analytics and trend overlay tool that automatically detects the At-The-Money (ATM) strike for NIFTY, BANKNIFTY , or any selected stock.
It merges Call–Put Volume Ratio (CPVR) sentiment analysis with a Chandelier Exit trend overlay to help traders visualize both market bias and trend direction in a single chart.
Concepts & Logic
ATM Auto Detection
The script calculates the current ATM strike by rounding the underlying’s price to the nearest strike interval (e.g., 50 for NIFTY, 100 for BANKNIFTY). It then requests live option-chain data for that strike.
Call–Put Volume Ratio (CPVR)
The Call-Put Volume Ratio (CPVR) is calculated as the call volume divided by the put volume.
CPVR > 1.25 → Bullish dominance (Calls stronger)
CPVR < 0.75 → Bearish dominance (Puts stronger)
0.75–1.25 → Neutral sentiment
This ratio helps interpret real-time option-market positioning.
Chandelier Exit Trend Overlay
Using Average True Range (ATR) , the overlay plots dynamic trailing stops and visual trend zones:
🟢 Green: Uptrend continuation zone
🔴 Red: Downtrend continuation zone
A color change signals possible momentum reversal.
Combination of CPVR and Chandelier Exit
CPVR gauges option-market sentiment
Chandelier Exit confirms price-action direction
When both align (e.g., bullish CPVR + green Chandelier zone), it strengthens directional conviction. Divergent readings may signal indecision or early reversals.
How to Use
Open any NIFTY, BANKNIFTY , or stocks chart.
Add ATM Pulse (Arjo) to the chart.
Select your expiry date — the script auto-detects the ATM strike and displays:
C: Call LTP
P: Put LTP
CPVR: Call/Put Volume Ratio label
Watch the Chandelier Exit colors:
🟢 Green = Bullish trend
🔴 Red = Bearish trend
Combine CPVR bias + trend color for confirmation.
If CPVR is above 1.25 and trend color green → More bullish activity (Calls stronger).
If CPVR is below 0.75, and trend color red→ More bearish activity (Puts stronger).
If CPVR is between 0.75 and 1.25 and the trend color is gray/mixed → Neutral
Practical Use Case
The script continuously updates the ATM strike, CPVR , and trend overlay in real time.
It provides a clear visual snapshot of how option volumes align with price momentum , ideal for intraday or short-term directional traders.
Disclaimer
This tool is for educational and analytical purposes only.
It does not provide financial advice or guaranteed trading signals.
Happy Trading. ARJO
Range Percentage Analyzer This indicator is a tool for analyzing the market range and trend. It calculates the extent of price movement between a specified starting point and the current price, displaying it as a percentage.
The calculation can be based on a fixed lookback period (e.g., the last 30 candles) or from a fixed start date. It also provides a clear table that shows the general trend in "Trend" mode, and the relative strength of the base and quote currencies of forex pairs (e.g., EURUSD) in "Forex" mode.
User Guide
Calculation Method
This setting determines how the indicator defines the starting point for the calculation.
Lookback Period: In this mode, the indicator uses the last N candles (the number can be specified in the "Lookback Period (bars)" field, maximum 250).
The starting point is "floating," meaning it shifts with each new candle. For example, with a setting of 30, the 30th candle from the current one will always be the starting point.
Date Based: In this mode, the calculation starts from a fixed date and time you select.
This mode is ideal for measuring performance from a specific event (e.g., news, start of a week/month).
Note: If you select a date in "Date Based" mode for which no data is available on the current timeframe (e.g., switching to a very low timeframe), the indicator will automatically use the earliest available candle as the starting point.
Start Date & Time
This setting is only active in "Date Based" mode.
Here you can specify the fixed starting point for the calculation.
The specified time is in the Exchange timezone.
Important limitation: Due to TradingView platform limits, visual elements (box, line) are only drawn for a maximum of 250 candles back.
If the set date is older than this, the calculation still applies to the entire period (from the set date), but the drawing only covers the last 250 candles.
When switching to a higher timeframe, the range may restart from a slightly later bar due to TradingView's bar alignment. For best accuracy, set your timeframe first, then select the start date.
Table Mode
This setting controls what data the information table displays.
Trend: This is the default mode, which works on any symbol (stock, index, crypto, etc.). It displays information related to the trend.
Forex: This is a special mode used to measure the strength of currency pairs.
It only works on symbols with exactly 6 characters (e.g., "EURUSD", "BTCUSD"). It treats the first 3 characters as the base currency (e.g., EUR) and the last 3 as the quote currency (e.g., USD).
If the symbol does not have 6 characters, the table will automatically display in "Trend" mode.
Extremes Trend Row
If this is enabled, the table displays an additional row that determines the trend based on the formation order of the high and low within the analyzed range.
The logic is as follows:
Bullish: Indicated if the low was formed before the high.
(Or if they formed on the same candle, which was a bullish candle).
Bearish: Indicated if the high was formed before the low.
(Or if they formed on the same candle, which was a bearish candle).
Neutral: Indicated if the high and low formed on the same candle, and it was a "doji" candle (close = open).
Upper & Lower Threshold
These settings control the logic for the "Change Trend" and "Forex Display" rows at the top of the table.
They determine when the total percentage change for the entire period is considered "Bullish/Strong", "Bearish/Weak", or "Neutral".
Upper Threshold (%): The percentage value (default 0.1%) above which the indicator considers the change "Bullish/Strong".
Lower Threshold (%): The percentage value (default -0.1%) below which the indicator considers the change "Bearish/Weak".
If the change is between the two, the signal is Neutral.
Directional Strength and Momentum Index█ OVERVIEW
“Directional Strength and Momentum Index” (DSMI) is a technical analysis indicator inspired by DMI, but due to different source data, it produces distinct results. DSMI combines direction measurement, trend strength, and overheat levels into a single index, enhanced with gradient fills, extreme zones, entry signals, candle coloring, and a summary table.
█ CONCEPT
The classic DMI, despite its relatively simple logic, can seem somewhat chaotic due to separate +DI and -DI lines and the need for manual interpretation of their relationships. The DSMI indicator was created to increase clarity and speed up results, consolidating key information into a single index from 0 to 100 that simultaneously:
- Indicates trend direction (bullish/bearish)
- Measures movement strength
- Identifies overheat levels
- Generates ready entry signals
DMI (ADX + +DI / -DI) measures trend direction and strength, but does so based solely on comparing price movements between candles. ADX shows whether the trend is orderly and growing (e.g., above 20–30), but does not assess how dynamic the movement is.
DSMI, on the other hand, takes into account candle size and actual market aggression, thus showing directional momentum — whether the trend has real “fuel” to sustain or accelerate, not just whether it is orderly.
The main calculation difference involves replacing True Range with candle size (high-low) and using directional EMA instead of Wilder smoothing. This allows DSMI to react faster to momentum changes, eliminating delays typical of classic DMI based on TR.
This gives the trader an immediate picture of the market situation without analyzing multiple lines.
█ FEATURES
DSMI Main Line:
- EMA(Directional Index) based on +DS and -DS
- Scale 0–100, smooth color gradient depending on strength
+DS / -DS:
- Positive and Negative Directional Strength
- Gradient fill between lines — more intense with stronger trend
Extreme Zones:
- Default 20 and 80
- Gradient fill outside zones
Trend Strength Levels:
- Weak (<10) → neutral
- Moderate (up to 35)
- Strong (up to 45)
- Overheated (up to 55)
- Extreme (>55)
All levels editable
Entry Signals:
- Activated on crossing entry level (default 20)
Or on direction change when DSMI already ≥ entry level
- Highlighted background (green/red)
Candle Coloring:
- According to current trend
Trend Strength Table:
- Top-right corner
- Shows current strength (WEAK/STRONG etc.) + DSMI value
Alerts:
- DSMI Bullish Entry
- DSMI Bearish Entry
█ HOW TO USE
Add to Chart: Paste code in Pine Editor or find in indicator library.
Settings:
DSMI Parameters:
- DSMI Period → default 20
- Show DSMI Line → on/off
Extreme Zones:
- Lower Level → default 20
- Upper Level → default 80
Trend Strength Levels:
- Weak, Moderate, Strong, Overheated → adjust to strategy
Trend Colors:
- BULLISH → default green
- BEARISH → default red
- NEUTRAL → gray
Entry Signals:
- Show Highlight → on/off
- DSMI Entry Level → default 20
Signal Interpretation:
- DSMI Line: Main strength indicator.
- Gradient between +DS and -DS: Visualizes side dominance.
- Crossing 18 with direction confirmation → entry signal.
- Extreme Zones: Potential reversal or continuation points after correction.
- Table: Quick overview of current trend condition.
█ APPLICATIONS
The indicator works well in:
- Trend-following: Enter on signal, exit on direction change or overheat. When a new trend appears, consider entering a position, preferably with a rising trend strength indicator.
- Scalping/daytrading: Shorter period (7–10), lower entry level.
- Swing/position: Longer period (20–30), higher entry level, extreme zones as filters.
- Noise filtering: Ignores consolidation below “Weak” – increasing value e.g. to 15 highlights consolidation zones, but no signals appear there.
Style Adjustment:
- Aggressive strategies → shorten period and entry level
- Conservative → extend period, raise entry level (25–30), watch “Overheated”
“Weak” level (<10 default) → neutral; increasing it e.g. to 15 gives fewer but higher-quality signals. The Weak zone value controls the level below which no signals appear, and the gradient turns gray (often aligned with consolidation zones).
Combine with:
- Support/resistance levels
- Fair Value Gaps (FVG)
- Volume (Volume Profile, VWAP)
- Other oscillators (RSI, Stochastic)
█ NOTES
- Works on all markets and timeframes.
- Adjust period and levels to instrument volatility.
- Higher entry level → fewer signals, higher quality.
- Neutral color below “Weak” – avoids trading in consolidation.
- Gradient and table enable quick assessment without line analysis.
Williams AD + MA“I’ve added an MA to the Williams Accumulation/Distribution (AD) indicator. You can use it to infer potential trend inflection points and to assess the persistence of the trend.”
