v11 envelope bandssome 1200 Indian stocks with band values , scrip shows when the stock is outside the band value.
will add more companies to the mix
Chỉ báo
Chỉ báo và chiến lược
Volume-Confirmed Order Blocks - CFD ChartsOrder-block zones for CFD and cash-index charts — kept only when the impulse
that created them carried above-average REAL futures volume.
What makes it original: classic order-block tools mark every last opposite
candle before a fast move, which paints charts full of untested zones. This
one validates the impulse against the exchange volume of the auto-detected
futures contract (never the CFD's tick volume): a zone only exists where real
contracts changed hands. Price coordinates stay this chart's prices — only the
volume is borrowed, so the futures-vs-cash basis cannot shift a zone.
How it works:
- Impulse = candle range > k x ATR with a decisive body (both adjustable).
- The last opposite candle within a few bars before the impulse becomes the
order block; its high/low span the zone.
- Volume confirmation: the impulse candle needs >= x times the average
futures volume (set the multiplier to 0 for classic, unfiltered blocks).
- Zones extend right until price closes through the far side (mitigation),
then they are removed; the number of kept zones is capped.
- Label-free chart output — zones read from color and geometry alone. Alerts
fire on new bullish/bearish zones.
How to use it: treat the zones as inventory areas of real participation —
pullbacks into a fresh volume-confirmed zone are the classic retest context,
a close through the far side invalidates it (and removes it from the chart).
The volume filter is the quality dial: raise the multiplier to keep only the
zones where the futures market genuinely committed. Delayed futures feeds
confirm new zones a few minutes late; history is complete.
*This script is part of a consistent set of open-source session, range and
volume tools — the companions are on my profile.*
Chỉ báo
V10 ENVELOPE BANDSBAND ENVELOPE MADE EASY , 1200 STOCKS UPLOADED .
just add the indicator and check which files are outside the bands
Chỉ báo
HTF Volume Profile Map - POC, VAH, VAL and DeltaHTF Volume Profile Map - POC, VAH, VAL and Delta
HTF Volume Profile Map estimates where trading volume was concentrated inside higher-timeframe candles and displays those value areas directly on an intraday chart.
The indicator builds a separate volume-at-price profile for each completed higher-timeframe candle. For example, traders can view four-hour volume distributions while working from a 5-minute, 15-minute, or 1-hour chart.
It highlights the prices that attracted the greatest estimated participation rather than relying only on the higher-timeframe candle’s open, high, low, and close.
Main features
Higher-timeframe volume-at-price profiles
Point of Control, or POC
Value Area High and Value Area Low
Configurable value-area percentage
Developing POC, VAH, and VAL
Projection of the latest completed value area
Estimated directional volume delta
Buy/sell-colored profile rows
Automatic ATR-based row sizing
Manual tick-based row sizing
Configurable profile width and history
Dashboard showing location, flow, levels, and calculation quality
Alerts for value-area entry and POC crosses
How it works
The script retrieves lower-timeframe OHLCV data using request.security_lower_tf() and groups those intrabars inside the selected higher-timeframe period.
Each intrabar’s volume is distributed across the price rows touched by its high-to-low range. Upward intrabars contribute to estimated buying volume, while downward intrabars contribute to estimated selling volume. Doji intrabars are classified using their movement relative to the preceding intrabar.
The row with the greatest accumulated volume becomes the POC.
The value area begins at the POC and expands toward adjacent rows with greater volume until it contains the selected percentage of total profile volume. The conventional default is 70%.
Reading the profile
POC
The price row containing the highest estimated volume. It can represent an important acceptance level or price magnet.
VAH
The upper boundary of the value area. Trading above VAH can indicate an auction attempting to establish higher value.
VAL
The lower boundary of the value area. Trading below VAL can indicate an auction attempting to establish lower value.
Estimated Delta
The difference between estimated buying and selling volume:
Positive delta indicates greater upward intrabar volume.
Negative delta indicates greater downward intrabar volume.
A relatively small delta is classified as balanced value.
Dashboard states
Above Value
Price is above the latest completed HTF value area.
Below Value
Price is below the latest completed HTF value area.
Value / Upper
Price is inside value and above the POC.
Value / Lower
Price is inside value and below the POC.
Buy Dominant / Sell Dominant
Estimated delta exceeds the directional threshold.
Balanced Value
Neither side has established significant directional dominance.
Practical applications
Traders can use the indicator to study:
Acceptance or rejection around prior HTF value
POC retests
Failed auctions above VAH or below VAL
Rotation from one value boundary toward the other
Confluence with market structure, liquidity, supply/demand, or session levels
Differences between price direction and estimated volume delta
The indicator identifies context and reference levels. It does not generate automatic buy or sell signals.
Suggested configuration
For a 15-minute chart:
Higher Timeframe: 240 minutes
Intrabar Sampling: 1 minute
Row Size: Auto
Value Area: 70%
For a 5-minute chart:
Higher Timeframe: 60 or 240 minutes
Intrabar Sampling: 1 minute
Value Area: 70%
Increase profile width if the histograms appear too narrow. Increase the row size or reduce the automatic target-row setting if the dashboard displays “Widen Rows.”
Important limitation
This is an estimated volume profile, not an exchange-level bid/ask footprint.
TradingView’s native footprint API requires a qualifying higher-tier subscription. This script instead uses lower-timeframe OHLCV data, allowing it to operate without the native footprint request.
Because the precise transaction price of every trade is unavailable, each intrabar’s volume is distributed across the price rows covered by that intrabar. The resulting POC, value area, and delta should therefore be treated as analytical estimates.
Historical depth also depends on the selected sampling timeframe and TradingView’s available intrabar data.
The script processes confirmed chart bars and discards the first incomplete HTF profile loaded at the beginning of the dataset. Completed HTF profiles remain fixed, while developing levels can change until their HTF candle closes.
Chỉ báo
Futures Volume + Delta - CFD ChartsA volume pane for CFD and cash-index charts that shows the REAL traded volume
of the matching futures contract — plus an estimated buy/sell delta and
absorption flags for effort-without-result bars.
What makes it original: CFD "volume" is broker tick count, not market
participation. This pane never uses it — every column is the exchange volume
of the auto-detected futures contract. The delta column is built from the
futures contract's own lower-timeframe candles (up-candle volume counts as
buying, down-candle volume as selling): the volume is real, only the side
attribution is an estimate, and it is labeled as such. Absorption flags then
combine both axes — volume percentile high while the price range percentile is
low — the candle-data footprint that hidden passive interest (iceberg-style
execution) leaves behind. Pine has no order book, so this is explicitly a
footprint proxy, not order-book detection.
How it works:
- The futures contract is auto-detected from the chart symbol (DAX/GER40 ->
FDAX, NAS100 -> NQ, US30 -> YM, UK100 -> Z, US500 -> ES), or set manually.
- Histogram = futures volume per chart bar; columns tint with bar direction,
a configurable MA marks the average.
- Delta = buy-minus-sell futures volume from 1/5/15-minute intrabars
(auto-selected by chart timeframe, manual override). Lower-timeframe
history is limited, so the delta reaches less far back than the histogram.
- Absorption flag (orange diamond + alert): volume percentile >= X and range
percentile <= Y over a rolling lookback — both thresholds adjustable.
- A status label confirms the active source and the delta resolution.
How to use it: read it like a footprint-lite. Rising price on rising futures
volume = participation confirms the move. An absorption diamond after an
extended run — heavy contracts traded, no price progress — marks where passive
interest is absorbing the aggression; combined with a one-sided delta it is a
common exhaustion/iceberg footprint. Delayed futures feeds confirm bars a few
minutes late; the historical picture is complete.
*This script is part of a consistent set of open-source session, range and
volume tools — the companions are on my profile.*
Chỉ báo
Futures Session TWAP + Bands - CFD ChartsAn anchored TWAP (time-weighted average price) with 1/2/3-sigma bands that
knows when the real market is actually open — built for CFD and cash-index
charts whose 24h quotes distort classic session averages.
What makes it original: a TWAP weighs every bar equally, so on a 24h CFD chart
the thin overnight bars count as much as the liquid session and drag the line
away from the number execution desks reference. This indicator pulls the
volume of the auto-detected futures contract and uses it as a SESSION GATE:
only bars where the future actually traded are counted. It also plots an
optional futures-volume VWAP on the same anchor, so the TWAP-vs-VWAP spread
becomes readable at a glance — that spread is the point of the pair.
How it works:
- TWAP = equal-weight average of the chart's price (hlc3 by default) over the
anchor period (session/week/month); bands from the time-weighted variance.
- Session gate (optional, on by default): bars without futures volume are
skipped, so the TWAP covers the real trading session. Only session/volume
information is borrowed from the future — the price stays this chart's
price, so the futures-vs-cash basis cannot distort the level.
- The futures contract is auto-detected from the chart symbol (DAX/GER40 ->
FDAX, NAS100 -> NQ, US30 -> YM, UK100 -> Z, US500 -> ES), or set manually.
- Optional "Daily anchor = futures trading day" resets at the futures day
change instead of CFD broker midnight, matching the sibling VWAP tool.
- A status label shows the active source, the gate state and the current
VWAP-minus-TWAP spread.
How to use it: the TWAP is the fair time-average of the session — the line an
evenly-sliced execution would achieve. Compare it with the futures-volume
VWAP: VWAP above TWAP means volume was concentrated above the time average
(participants paid up), VWAP below TWAP means volume traded below it. The two
lines glued together signals balanced rotation; a widening spread marks
one-sided participation. The 2/3-sigma bands frame statistically stretched
zones relative to the session mean. Check the status label once after loading
to confirm the futures feed is active.
*This script is part of a consistent set of open-source session, range and
volume tools — the companions are on my profile.*
Chỉ báo
Short Pressure IndexOverview
A composite 0-100 "short pressure" score built from three independently computed components (volume climax, MA deviation, and bearish-bar momentum), with optional automatic exchange routing for crypto and FINRA short-volume data substitution for stocks — so the same score means something comparable across very different asset classes.
How it's calculated
1. Volume pressure: the fraction of high-significance volume (climax or above-average bars, per a PVSRA-style multiplier check) that occurred on bearish closes over a rolling window. For US stocks with FINRA short volume enabled, this component is swapped for the actual reported short-volume ratio instead.
2. MA deviation pressure: how far below (in ATR multiples) price sits from its moving average, rescaled to 0-100 over a rolling window.
3. Momentum pressure: the % of the last N bars that closed bearish.
The three are averaged and smoothed with an EMA to produce the SPI line, which gets its own signal-line EMA and histogram. For crypto, price/volume can be routed to a more liquid exchange feed (e.g. Bitfinex) since the chart's native feed may be sparse; unsupported symbol types can be suppressed entirely rather than plotting a meaningless value.
How to use it
Readings above the high threshold (default 70) suggest broad short-side pressure building across all three components; below the low threshold (default 30) suggests minimal short pressure. The histogram and signal-line crosses give earlier, more granular entries than waiting for a threshold cross. For US equities, "Use FINRA Short Volume" swaps in real reported short-sale data for a more direct read than the volume-climax proxy alone.
Chỉ báo
EnvelopeLibrary_QZLibrary "EnvelopeLibrary_QZ"
Library holding exact envelope band percentages for stocks Q-Z
getPct_Q_Z(symbol, tf)
Parameters:
symbol (string)
tf (string)
Thư viện
Moon CyclesOverview
Marks the four primary lunar phases (new, first quarter, full, last quarter) directly on the chart using an astronomical calculation, for traders who track lunar-cycle-based market sentiment/timing frameworks.
How it's calculated
Uses the standard synodic month constant (29.530588853 days) against a known reference new moon (6 Jan 2000) to compute a continuous lunar-cycle phase fraction (0 to 1) for the current bar's timestamp, then flags a phase transition whenever that fraction crosses a phase boundary (0.0 = new, 0.25 = first quarter, 0.5 = full, 0.75 = last quarter) between the current and prior bar.
How to use it
This isn't a trading signal on its own — it's a calendar overlay for traders who want lunar phases visible alongside price action as one input among others. Label text is configurable (emoji only, with meaning, with date, or all three) and vertical lines can optionally mark new/full moons for easier visual alignment with price swings.
Chỉ báo
EnvelopeLibrary_IPLibrary "EnvelopeLibrary_IP"
Library holding exact envelope band percentages for stocks I-P
getPct_I_P(symbol, tf)
Parameters:
symbol (string)
tf (string)
Thư viện
EnvelopeLibrary_AHLibrary "EnvelopeLibrary_AH"
Library holding exact envelope band percentages for stocks A-H
getPct_A_H(symbol, tf)
Parameters:
symbol (string)
tf (string)
Thư viện
Round Number GridRound Number Grid is a visual price reference tool that draws psychological round-number levels around the current market price.
The purpose of this script is to help traders quickly see nearby round-number levels such as 50, 100, 150, 200, 250, 300, 500, or other clean price steps depending on the symbol and its volatility.
This is a visual tool only. It does not generate buy or sell signals, does not predict future price movement, and does not claim that round numbers will act as support or resistance.
How it works
The script can calculate the grid step in two ways:
- Auto from ATR: the script uses recent volatility to estimate a suitable distance between levels, then converts that distance into a clean round-number step.
- Manual: the user can manually choose the distance between grid levels.
In Auto mode, the script converts the ATR-based distance into a clean step such as:
- 1
- 2.5
- 5
- 10
- 25
- 50
- 100
This helps the grid adapt to different symbols and price ranges.
What the script shows
- Round-number levels above and below current price
- The nearest round-number level above price
- The nearest round-number level below price
- Optional major levels every selected number of steps
- Optional labels for visible levels
- A compact state label showing:
- Current grid step
- Nearest round level above
- Nearest round level below
- Percentage distance to the nearest levels
Visual features
The nearest level above price can be highlighted with a separate color and width.
The nearest level below price can also be highlighted separately.
Users can control:
- Number of levels shown above and below price
- Step mode: Auto or Manual
- Auto step multiplier from ATR
- Manual step size
- Major level frequency
- Line colors
- Line width
- Line style
- Label size
- Label visibility
- State label visibility
- Right-side line extension
Right extension
The script includes a right-extension setting so users can extend the grid lines farther to the right.
Users can choose between:
- Manual bars: extend levels by a selected number of bars
- Infinite right: extend the grid lines continuously to the right side of the chart
This makes the grid easier to read when the user wants more space between price, labels, and the right edge of the chart.
Alerts
The script includes alert conditions for:
- Round level crossed
- Nearest upper round level crossed
- Nearest lower round level crossed
These alerts are descriptive price-reference events only. They are not buy or sell signals.
Important note
Round numbers are psychological reference levels. They may be watched by market participants, but they are not guaranteed support or resistance levels.
A reaction near a round number does not guarantee a reversal, continuation, breakout, or rejection.
This indicator is intended for visual analysis, education, and chart context. It should be used together with broader market structure, trend, volume, support and resistance, and risk management.
Repainting / behavior note
This script does not use pivot confirmation, future-looking calculations, or predictive signals.
However, the visible grid is centered around the current price area. When price moves significantly, the displayed grid can recenter around the new price area. This is normal behavior for a visual round-number grid and should not be interpreted as a signal change.
The script is not a strategy, not financial advice, and not a standalone trading system.
Chỉ báo
Kenyon Legacy# Kenyon Legacy — Quick Guide
**Kenyon Legacy** combines two independent tools:
* **IFVG Sniper Engine** for trade setups, entry, stop-loss, and profit targets
* **Q-Trend** for trend direction, bar colors, and buy/sell labels
## How to Use
1. Add **Kenyon Legacy** to your TradingView chart.
2. Choose your preferred IFVG filter mode.
3. Select your take-profit target:
* 3R
* 4R
* 5R
4. Wait for a bullish or bearish IFVG setup.
5. Use the entry line as the trade entry reference.
6. Use the red SL box as the stop-loss area.
7. Use the green TP box as the profit target.
8. Use Q-Trend as extra visual confirmation, but remember it does not block or change IFVG signals.
## Basic Signal Guide
* **IFVG+** = bullish setup
* **IFVG-** = bearish setup
* **Q-Trend green** = bullish trend
* **Q-Trend red** = bearish trend
* **ENTRY** = suggested entry level
* **SL** = stop-loss level
* **TP 3R, 4R, or 5R** = selected profit target
For stronger setups, look for IFVG and Q-Trend pointing in the same direction.
Chỉ báo
Cardwell Dual Confluence [MarkitTick]💡 A comprehensive momentum and trend-following framework built to identify high-probability market shifts. By synthesizing Andrew Cardwell's established Relative Strength Index (RSI) range rules with dynamic trend filtering and volatility metrics, this tool provides a unified analytical engine. It moves beyond standard oscillator readings to map the underlying momentum regime, ensuring that signals are structurally aligned with the dominant trend.
● ✨ Originality and Utility
Traditional momentum oscillators often produce premature reversal signals during strong trends, leading to false entries in directionless markets. This indicator solves that problem by integrating a dual-tier confluence model. It does not rely solely on an isolated RSI moving average crossover; instead, it demands structural validation through Cardwell's defined momentum ranges.
The primary utility lies in its objective structural filtering: a momentum cross is only validated if the broader market regime structurally supports the direction of the momentum.
By combining a base timeframe momentum cross with a Higher Timeframe (HTF) trend regime and Average Directional Index (ADX) volatility filtering, this tool prevents overtrading in choppy, non-directional environments.
This deliberate combination of an oscillator, a trend filter, and a volatility metric acts as a logical confluence engine. It avoids the pitfalls of disjointed indicator mashups by ensuring every component serves a distinct mathematical purpose in validating the signal before it is printed to the chart.
● 🔬 Methodology and Concepts
The logic engine of this tool evaluates multiple distinct criteria before registering a valid signal.
• Momentum Crossover
The script calculates a base RSI and smooths it using two Running Moving Averages (RMA): a Fast RMA and a Slow RMA. A baseline momentum shift occurs when the Fast RMA crosses the Slow RMA, indicating a localized surge in buying or selling pressure.
• Regime Mapping
A structural trend is evaluated by comparing the closing price to a Simple Moving Average (SMA). Simultaneously, a secondary RSI is evaluated against Cardwell's defined structural ranges. A Bullish Regime requires the price to be above the SMA and the RSI to hold within a specific upper tier (defaulting to 40-80). A Bearish Regime requires the price to be below the SMA and the RSI to hold within a lower tier (defaulting to 20-60).
• Confirmation and Confluence
Regimes must persist for a user-defined number of consecutive bars to filter out transient market noise. Confluence is achieved when an RMA momentum crossover occurs within a tight, predefined window of a regime shift, ensuring both immediate momentum and the structural trend are perfectly aligned.
• Higher Timeframe and Volatility Verification
An optional HTF module checks the regime state of a larger timeframe using a strict non-repainting historical offset. Furthermore, the ADX is calculated to measure pure trend strength. If the ADX is below the user-defined minimum threshold, the market is deemed too choppy, and all signals are suppressed.
• Dynamic Trade Architecture
Once a signal is validated strictly on a confirmed bar close, the script projects dynamic Stop Loss and Take Profit levels using a multiplier of the Average True Range (ATR), actively adapting the trade geometry to current market volatility.
● 🔍 Deconstruction of the Underlying Scientific and Academic Framework
The analytical foundation of this tool rests on advanced momentum physics and statistical distribution theories.
• Cardwell RSI Range Theory
Developed by Andrew Cardwell, this theory posits that the Relative Strength Index is not merely an overbought/oversold oscillator, but a powerful trend-identifying metric. In a mathematically robust uptrend, the RSI establishes a baseline support near the 40 level and frequently reaches 80. Conversely, in a downtrend, it establishes resistance near 60 and drops to 20. The indicator algorithmically enforces these limits to objectively classify market environments.
• Running Moving Average (RMA) Dynamics
The script utilizes the RMA, also known as the Modified Moving Average (MMA) or SMMA, to smooth the RSI base. The RMA applies an exponential smoothing weight defined exactly as 1 / length . This specific mathematical weighting retains a longer memory of past data compared to a standard SMA, preventing the abrupt drop-offs that occur when large data points exit a simple moving average window. This makes the RMA crossover highly sensitive to genuine shifts in cumulative momentum without the lag of a standard exponential moving average.
• Average Directional Movement Index (ADX)
Created by J. Welles Wilder, the ADX quantifies trend strength independent of directional vector. By calculating the smoothed moving averages of the +DI and -DI directional movement indicators, the ADX isolates the absolute magnitude of price expansion. The script uses this mathematical isolation to construct an absolute threshold; requiring ADX to exceed a base level ensures that the statistical probability of trend continuation is mathematically viable before capital is exposed.
• Volatility-Scaled Projection (ATR)
Take profit and stop loss coordinates are mapped using Wilder's Average True Range. The ATR measures the greatest of the current high minus the current low, the absolute value of the current high minus the previous close, and the absolute value of the current low minus the previous close. By scaling targets using ATR multipliers, the tool shifts from fixed-point geometry to dynamic, standard-deviation-aligned targeting, ensuring targets expand during high volatility and contract during consolidation.
● 🎨 Visual Guide
The tool employs a clean, visually dynamic chart interface to transmit complex data instantly without cluttering the workspace.
• Heatmap Candles
Candle bodies and wicks are dynamically colored based on the active regime. Teal indicates a confirmed Bullish Regime, Red indicates a Bearish Regime, and Gray indicates a Neutral market state.
• Signal Labels
When all confluence parameters are met on a confirmed bar close, a solid blue "BUY" label appears below the bar, or an orange "SELL" label appears above the bar, complete with strict execution markers.
• Dynamic Trade Levels
Upon signal generation, the tool plots projected trade levels extending to the right of the price action. A solid Red line indicates the Stop Loss threshold. A dashed Blue line denotes the Entry price. Dashed Teal lines represent Take Profit 1, 2, and 3. Labels accurately print the precise price levels directly on the chart axis.
• Risk and Reward Fills
A semi-transparent Red linefill is plotted between the Entry and Stop Loss lines to visualize risk exposure, while a Teal fill between Entry and TP3 visualizes the total projected reward structure, allowing for instant visual evaluation of the trade setup.
• Integrated Dashboard
A comprehensive table is positioned on the chart, displaying real-time operational metrics. It details the current Cross Trend, Regime State, Confirm Bar count, Signal Gap status, Last Signal source, Trade Status, live ATR value, TP3:SL ratio, and HTF/Chop Filter states in an easy-to-read grid.
● 📖 How to Use
Deploying this tool requires patience and strict adherence to structural confirmation.
Wait for the Heatmap Candles to shift from Gray (Neutral) to Teal (Bullish) or Red (Bearish). This indicates that the broader moving average trend and the internal RSI ranges have aligned into a confirmed structural regime.
Observe the chart for a printed BUY or SELL label. This confirms that the RMA momentum cross has achieved mathematical confluence with the active regime within the defined allowable window.
Check the Dashboard to ensure the HTF Regime and Chop Filter (ADX) read as PASS. If the market is blocked by the Chop Filter, do not force an entry, as the statistical probability of a sustained run is low.
Upon entry, utilize the plotted ATR lines to structure your risk. Place your stop loss exactly at the solid red line, and scale out of your position at the dashed TP1, TP2, and TP3 levels as price action develops.
Wait for the Signal Gap cooldown period to elapse before considering consecutive entries in the same direction. This engineered delay prevents overexposure during erratic, volatile spikes.
● ⚙️ Inputs and Settings
The script features highly customizable parameters grouped logically for maximum workflow efficiency.
• Core Settings
Adjust the lengths for the Cross RMA (Fast/Slow) and the primary RSI source. Modify the Trend MA length and explicitly set the boundaries for the Bull Range (default 40-80) and Bear Range (default 20-60). Configure the Confluence Window to define exactly how close a cross and regime shift must occur to trigger a valid signal, and set the Signal Gap cooldown timer.
• Filters
Toggle the HTF Confirmation logic and select the desired higher timeframe for broader structural alignment. Enable the ADX Chop Filter and set the minimum required trend strength to strip out low-probability environments.
• Trade Tools
Define the ATR lookback length and customize the specific multipliers for the Stop Loss and the three Take Profit targets to match your unique risk-to-reward requirements. Modify the Line Extend Bars input to control how far into the future the trade levels are drawn.
• Visuals and Dashboard
Toggle individual visual components, including candle coloring, signal labels, and trade level plotting. Position the dashboard to any corner of the chart to prevent the obstruction of live price action.
• Alerts
Input specific JSON string payloads for Long, Short, Close Long, Close Short, SL, and TP actions. This allows the indicator to integrate seamlessly with automated execution platforms or third-party webhooks without requiring manual code modifications.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. We expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
Chỉ báo
Native Timeframe Moving Average📈 Native Timeframe Moving Average
Overview
Native Timeframe Moving Average allows you to plot a moving average that is always calculated from its own selected timeframe, regardless of the chart timeframe you're viewing.
Instead of recalculating the MA using the current chart bars, this indicator performs the entire moving-average calculation inside the selected source timeframe before mapping the result back onto your chart. This ensures the moving average always remains true to its native timeframe.
For example, selecting a 200 SMA on the Daily timeframe will always display the genuine 200-day SMA whether you're viewing a 15-minute, 1-hour, 4-hour, Daily, Weekly, or any other timeframe.
✨ Features
✔ Native timeframe moving averages
✔ SMA, EMA, WMA, RMA & VWMA
✔ Any TradingView timeframe
✔ Developing and Confirmed calculation modes
✔ Connected and Native display modes
✔ Standard MA Offset
✔ Uses TradingView Style settings for colour and line width
✔ No repainting or future leakage
✔ Lightweight and fast
⚙️ Value Modes
📡 Developing (Default)
Includes the active source-timeframe candle in the calculation.
This behaves like traders generally expect when viewing a higher-timeframe moving average on a lower-timeframe chart, allowing the MA to update as the source candle develops.
Perfect for discretionary chart analysis.
🔒 Confirmed
Uses only completed source-timeframe candles.
The plotted value remains unchanged until the next source-timeframe candle closes.
Ideal for:
• Strategies
• Alerts
• Stable signal generation
• Any workflow requiring confirmed higher-timeframe values
📉 Line Modes
🔗 Connected (Default)
Connects each source-timeframe moving-average value using straight lines.
This provides a cleaner, smoother appearance that most traders prefer when analysing trends across multiple timeframes.
Note: The connecting segments are visual interpolation between confirmed source-timeframe values. They improve readability but should not be interpreted as the exact value that existed on every individual chart bar.
🪜 Native
Displays the actual sampled moving-average value available on every chart bar.
When the selected timeframe is higher than the chart timeframe, the line naturally appears as a staircase because the source-timeframe value only updates when that timeframe produces a new value.
This mode is recommended whenever the output is being used for:
• Strategy logic
• Alerts
• Numerical comparisons
• Other indicators
💡 Typical Uses
• Overlay a Daily 200 SMA while trading the 15-minute chart
• View Weekly trend direction without changing chart timeframe
• Display Monthly moving averages on swing-trading charts
• Compare multiple native timeframe moving averages by adding multiple indicator instances
• Keep important higher-timeframe trend references visible while executing on lower timeframes
🎯 Why use this instead of a standard Moving Average?
A standard Moving Average is always calculated from the timeframe of the chart you're viewing.
This indicator keeps the calculation anchored to the timeframe you choose.
That means a 200 Daily SMA always remains a 200 Daily SMA, regardless of whether you're looking at a 5-minute chart or a Weekly chart. It never silently becomes a 200-bar moving average of the current chart timeframe.
🚀 Final Notes
This indicator was designed to provide a clean, reliable and flexible way to work with native timeframe moving averages across any chart.
Whether you're monitoring long-term trend structure while trading intraday or building multi-timeframe confluence into your analysis, Native Timeframe Moving Average keeps your moving averages true to their original timeframe while giving you the flexibility to choose between the smooth appearance of Connected mode and the mathematically exact representation of Native mode.
Chỉ báo
ICT Algorithmic Macro Tracker @SafarTradesICT Algorithmic Macro Tracker
ICT Algorithmic Macro Tracker automatically highlights the predefined ICT macro time windows throughout the trading day, allowing traders to quickly identify high-probability algorithmic execution periods without manually tracking the clock.
Designed for ICT and Smart Money traders, the indicator centralizes all major macro windows into a single configurable tool while providing extensive customization for different trading workflows.
Features
Display all major ICT macro windows, including:
AM Killzone
07:50 – 08:10
08:50 – 09:10
09:50 – 10:10
10:50 – 11:10
PM Killzone
11:50 – 12:10
12:50 – 13:10
13:50 – 14:10
14:50 – 15:10
15:15 – 15:45
15:50 – 16:10
Overnight & London
23:50 – 00:10
00:50 – 01:10
01:50 – 02:10
02:50 – 03:10
Each macro window can be enabled or disabled independently.
Bracket & Label Customization
Customize every macro bracket with configurable:
Bracket color
Label color
Line style
Line width
Bracket placement
Label size
Optional time display
Macro projections
Intended Use
ICT Algorithmic Macro Tracker is designed for traders who incorporate ICT macro timing into their execution. By automatically marking algorithmic time windows, the indicator helps maintain awareness of important market periods while reducing chart clutter and manual time tracking.
Chỉ báo
Sessions Sniper LKThis indicator combines three powerful tools into one streamlined trading system:
UT Bot – Primary Buy and Sell signal engine.
Session Boxes – Displays Asia, London, New York AM, and New York PM trading sessions.
Dynamic Pivot Levels – Highlights important support and resistance levels based on recent market structure.
The indicator is designed so that **UT Bot controls every trading signal**, while the Session Boxes and Pivot Levels provide additional market context for making higher-probability trading decisions.
---
# Primary Trading Signals
The **UT Bot is the only indicator responsible for Buy and Sell signals.**
### BUY Signal
A Buy signal appears when:
* The UT Bot changes to a bullish trend.
* Price closes above the ATR trailing stop.
* A Buy label is displayed below the candle.
### SELL Signal
A Sell signal appears when:
* The UT Bot changes to a bearish trend.
* Price closes below the ATR trailing stop.
* A Sell label is displayed above the candle.
The bar colors will automatically match the current UT Bot trend:
* 🟢 Green = Bullish
* 🔴 Red = Bearish
These are the only signals intended for entering or exiting trades.
---
# Session Boxes
The colored boxes represent major trading sessions.
* 🔵 Asia
* 🔴 London
* 🟢 New York AM
* 🟣 New York PM
Each box automatically records:
* Session High
* Session Low
The session highs and lows often become important areas of:
* Support
* Resistance
* Liquidity
* Breakout zones
* Reversal zones
The colors identify the session, so labels are intentionally omitted to keep the chart clean.
---
# Pivot Levels
The Pivot Levels are not Buy or Sell signals.
Instead, they help identify:
* Strong support
* Strong resistance
* High-volume turning points
* Areas where price previously reacted
The colors indicate market position relative to each pivot:
* 🟢 Support
* 🔴 Resistance
* 🔵 Active / Current Price Area
Multiple pivot lengths allow you to see both short-term and long-term market structure simultaneously.
---
# Best Trade Setup
For the highest probability trades:
### Long Trades
Look for:
* UT Bot Buy signal
* Price above major Pivot Support
* Signal occurring during London or New York sessions
* Break above a session high
* Strong bullish candles
### Short Trades
Look for:
* UT Bot Sell signal
* Price below Pivot Resistance
* Signal during London or New York sessions
* Break below a session low
* Strong bearish candles
When all three tools align, the trade setup generally has greater confirmation than relying on a single indicator.
---
# Recommended Timeframes
Works best on:
* 1 Minute
* 3 Minute
* 5 Minute
* 15 Minute
* 30 Minute
* 1 Hour
Lower timeframes generate more signals, while higher timeframes typically produce stronger trends.
---
# Recommended Markets
Designed for:
* Stocks
* ETFs
* Futures
* Forex
* Cryptocurrency
* Indexes
---
# Customization
Nearly every feature can be enabled or disabled independently.
You can customize:
* Session visibility
* Session colors
* Pivot lengths
* Pivot styles
* Pivot extensions
* UT Bot sensitivity
* ATR period
* Heikin Ashi mode
* Bar coloring
* Buy/Sell labels
* Trailing stop visibility
This allows you to build a layout that matches your personal trading style.
---
# Important Notes
This indicator is designed to improve decision-making by combining trend detection, market structure, and session analysis into one chart.
No indicator is perfect. Always combine signals with sound risk management, proper position sizing, and your own market analysis before entering a trade.
Chỉ báo
GuidedByGod-Position Size Calculator -NQ/ES/YMPosition Size Calculator — NQ/ES/YM (Mini & Micro)
A simple risk-based position sizing tool for Nasdaq (NQ/MNQ), S&P (ES/MES), and Dow (YM/MYM) futures.
Enter how much you're willing to risk (either a fixed dollar amount or a % of your account) and your stop-loss distance in points. The indicator instantly tells you how many contracts to trade so your risk stays exactly where you want it — no manual math, no guessing.
Features:
Works with both mini and micro contracts across NQ, ES, and YM
Auto-detects the contract from your chart, or set it manually
Risk by fixed $ amount or % of account
Stop loss by points, or by entry/stop price
Clean, color-coded panel — green when your size is valid, red if something's off
Fully customizable: dark/light theme, accent color, text size, panel position
Compact mode for a minimal footprint on your chart
Built-in customizable reminder banner to reinforce good risk habits every time you look at the chart
Built for traders who want a quick, reliable way to size positions consistently — especially useful for prop firm evaluations and funded accounts where risk discipline matters most.
Chỉ báo
0DTE HullMA + EMA100 Options Entry & Fibonacci StrikesThis is an indicator built for trading options on the 5-minute timeframe, designed for same-day expiration (0DTE) CALL and PUT buying. The thesis is the following:
The EMA 100 defines the bias. If price is below the EMA 100, we only trade PUTs. If price is above the EMA 100, we only trade CALLs. We never fight the macro trend — the EMA 100 decides which direction is allowed, and nothing else.
The HullMA (50) is the trigger. For a PUT, the signal fires when the HullMA flips from green to red while price is below the EMA 100. If the HullMA flips first but price hasn't crossed below the EMA 100 yet, the indicator waits a configurable number of candles (default 4) for that confirmation — if it never happens, the setup is discarded. For a CALL, it's the mirror: the HullMA flips from red to green while price sits above the EMA 100.
The strike levels come from configurable Fibonacci targets. When a signal fires, the indicator measures the most recent swing (recent pivots, or the previous day's range — your choice) and projects three arrival levels: 0.382, 0.5 and 0.618 (all adjustable). These are your candidate strikes — the prices the underlying is likely to reach within the session. For a PUT, all three land below the entry price; for a CALL, above it.
Everything is captured in a "Last Signal" table that freezes at the moment of each trigger, showing the direction, entry price, how many candles ago it fired, the live price, and the three Fibonacci strikes — so you can pick a realistic strike and track progress toward it without cluttering the chart.
The strategy works on stocks, ETFs and crypto, and every visual element can be toggled on or off in the settings.
This tool is for technical analysis only and is not financial advice. 0DTE options carry a high risk of total loss.
Chỉ báo
SMC Reality Check [Concept Hit-Rate Audit]SMC Reality Check
WHAT THIS PUBLICATION ADDS
Hundreds of scripts DRAW Smart Money Concepts. This one MEASURES them.
Every classic SMC event it detects - Order Block retest, Breaker retest,
Fair Value Gap entry, liquidity sweep reclaim, Equal High/Low raid,
structure-break follow-through - is tracked forward, bar by bar, and
resolved as a HIT or a MISS against one uniform, pre-declared rule. The
result is a report card computed on YOUR symbol and YOUR timeframe:
sample size, hit-rate, a Wilson 95% confidence interval, median MFE and
a verdict per concept and side: EDGE, COIN-FLIP or FADE. To my
knowledge, no existing public script forward-tests the SMC toolkit and
reports per-concept outcome statistics like this.
This is deliberately NOT a signal mashup. The six detectors are not
combined to generate entries; each one exists so that its outcomes can
be counted by the same measurement engine. That engine is the reason
the components live in one script: one event definition, one target
rule, one invalidation rule, applied identically to every concept, so
their numbers are comparable side by side. The indicator does not ask
you to believe in SMC. It audits it.
HOW EVENTS ARE DETECTED (all on confirmed bars - nothing repaints)
- Market structure: swing pivots (configurable length) feed a state
machine. A close beyond the last unbroken swing is a structure break
(BOS in trend direction, CHoCH against it) - that bar itself is the
"follow-through" event, expecting continuation.
- Order Blocks: on a structure break, the last opposite-colour candle
before the break becomes the OB (full range or body only). The FIRST
return of price into that zone is the audited retest event.
- Breaker Blocks: an OB broken by the invalidation rule flips polarity
and becomes a Breaker; its first retest is audited the same way.
- Fair Value Gaps: the classic 3-candle imbalance, filtered by a
minimum ATR size. The first return of price into the gap is the event.
- Liquidity sweeps: a wick through a confirmed, unbroken swing high or
low while the bar closes back inside - a stop-hunt. The reclaim close
is the event, expecting a move away from the raided level.
- Equal Highs/Lows: two consecutive swings within an ATR tolerance form
a resting liquidity pool; a wick through it with a close back inside
is the raid event.
HOW OUTCOMES ARE MEASURED
- Every event gets one uniform definition: entry = the event bar close,
target = entry +/- N ATR (default 1.5, measured at event time),
invalidation = the level that falsifies the concept (OB/FVG far edge,
the sweep extreme, the broken structure level; by close or by wick,
selectable).
- HIT: the target is reached before invalidation. MISS: invalidation
first. Conservative by construction: if both happen on the same bar,
it counts as a MISS; if the resolve window (default 40 bars) expires
without a target, it counts as a MISS; if the event bar itself closes
beyond the invalidation, it is an instant MISS.
- Zones are audited on their FIRST test only, so every event is
independent - no double counting. Untested zones that expire are
excluded: statistics describe only what price actually revisited.
- The report card shows, per concept and side: n (resolved events),
hit-rate, the Wilson 95% confidence interval (which is what the
verdict is built from), the median maximum favourable excursion in
ATR, and the verdict: EDGE when the interval's lower bound is above
50%, FADE when the upper bound is below 50%, COIN-FLIP in between,
and no verdict below the minimum sample (default 20).
- Optional Edge Ranking sorts the table by the interval's lower bound,
so the statistically strongest concepts on this chart rise to the top.
A separate filter can restrict markers and alerts to concepts whose
current verdict is EDGE - a display filter only; the statistics always
track every concept.
HOW TO USE
- Read the table before trusting any drawing on the chart - that is the
point of the script. The same concept can be EDGE on one symbol and
FADE on another; the table tells you which is which, here.
- Give it history: statistics need bars. Load more history or use a
lower timeframe if n is small; below the minimum sample the script
deliberately refuses to issue a verdict.
- Treat EDGE as "this event, on this chart, has historically reached
+1.5 ATR before its invalidation more often than not" - context for
your own decisions, not an automatic entry. FADE is a descriptive
label for a historically failing definition, not advice to trade
against it.
- Alerts: create one alert with "Any alert() function call" - each
message names the concept, the side and its measured hit-rate at that
moment. Six classic alertconditions are also available.
SETTINGS GUIDE
- Swing length 5-10 for intraday auditing, 20+ for swing charts.
- Hit target 1.5 ATR and window 40 bars suit intraday; swing traders
may prefer 2-3 ATR with a longer window. Changing the rule changes
the question you are asking - the footer always restates the active
rule so every screenshot carries its own methodology.
- Invalidation "Close" is the forgiving audit, "Wick" the strict one.
LIMITATIONS - READ BEFORE USING
- This is an event study with one fixed rule, not a strategy backtest:
no fees, no slippage, no position sizing, and hit-rate is not P&L. A
hit-rate above 50% against a 1.5 ATR target does not by itself prove
positive expectancy, because the distance to invalidation varies per
event; the 50% line is a neutral reference for the verdict labels,
and the median MFE column adds the magnitude context.
- Pivots confirm after the swing length, so events print with that
structural lag on closed bars only. Reactive by design - the cost of
not repainting.
- Detector definitions are one reasonable, documented interpretation of
SMC concepts; other definitions would produce other numbers.
- The statistics are descriptive for the loaded chart history. Past
behaviour does not guarantee future results. This is a
decision-support tool, not a signal service and not financial advice.
Open-source under MPL 2.0 - study, fork and improve it freely.
Chỉ báo
IQ Session Bayesian Particle Filter [TradingIQ]🔹 OVERVIEW
This indicator runs a genuine Sequential Monte Carlo particle filter; the Bayesian architecture used in robotics and signal tracking... on your chart! Session by session, it learns where trading volume concentrates and paints a forecast of the coming session's entire volume-by-price distribution before that session unfolds: every expected high-volume level at once, not a single line.
It is not a moving average wearing a costume. Each finished session is treated as evidence: hundreds of particles are weighed against what actually traded, resampled, and mutated. Predict → observe → update, honestly Bayesian, every session.
🔹 HOW IT WORKS
Two particle swarms run side by side:
• A shape swarm learns the form of the distribution; one lump or several, wide or tight, and where each volume node sits.
• A drift swarm learns how far from the open the session's center of gravity tends to land.
An empirical-Bayes trust term scales the drift forecast by how much it has actually earned: when its track record is poor, the forecast automatically hugs the open. The prediction you see is the shape swarm's density, re-anchored by the trusted fraction of the drift forecast, rendered through a kernel density estimate whose bandwidth follows Silverman's rule.
🔸 HOW TO READ IT
• Session heatmap — the predicted density painted from the session open to the profile. A two-tone gradient split at the open; the tones swap roles across it, so each side mirrors the other. Bold color = expected business, fade = expected quiet.
• Mirrored profile — the forecast on the left, split bullish/bearish at the session open; the realized session volume on the right in a single neutral color.
• Confidence honesty — the prediction's glow scales with the filter's live confidence. When it has been wrong lately, its side visibly goes quiet. The realized side never fades, because reality doesn't.
• Bias info box — seated between the halves: the share of predicted volume above vs below the open (🢁 / 🢃).
• Expected levels — dashed lines at the probability-weighted average predicted price of each half: the session's expected bull and bear magnets.
• HVN lines + POC — the predicted high-volume levels. The point of control always shows; the HVN Threshold input is your dial between a few safe targets and every level worth watching.
🔹 SELF-TUNING
Every statistical free parameter tunes itself from data: the KDE bandwidth (Silverman's rule for visual convenience), the observation noise, the swarms' search domain (tracks the observed session spread), the mutation rate (genetic adaptation), the scout rate (scales with recent error), and the center trust (regression shrinkage). The inputs you are given are visual preferences plus a compute preset. There is nothing statistical to fiddle with, on purpose.
🔸 INPUTS
• Session Engine — Session Timeframe (the session boundary; must exceed the chart timeframe), Prediction Quality (particles per swarm, Fast 100 → Max 4000), Sessions to Keep.
• Volume Profile — toggles for the profile, bias box and expected levels; width, offset, info-box width, transparency.
• Session Heatmap — toggle, faint/bold density transparencies, Tone A / Tone B.
• High Volume Nodes — toggle, HVN Threshold %, reach, color.
• Colors — Bullish, Bearish, Realized.
🔹 VALIDATION
The filter was tested on real intraday data; 10 large-cap symbols, three session horizons, every prediction one-step-ahead and out-of-sample, against uniform, yesterday's-profile, Gaussian-fit, rolling-average and EWMA baselines, with the test harness itself audited too.
• Against naive prediction (uniform prior, yesterday's profile) it wins every metric tested at every horizon.
• Against the strongest profile-averaging methods it trades wins: they edge the single-lump fit metrics; the filter captures materially more of the session's actual traded volume with its predicted levels, and is the only method that reliably names multiple simultaneous targets .
• On sessions with two or more real volume peaks; roughly 4 in 10 sessions, its targets covered 19–42% more realized volume than the best alternative.
🔸 LIMITATIONS AND HONEST NOTES
• The forecast for a session is set when that session opens and is not repainted ; the realized half updates live as the session trades.
• It estimates a distribution of volume , not a promise of direction. The bias %, expected levels and HVN set are probability-weighted readings of that distribution.
• The filter is stochastic by nature: two chart reloads can differ in fine detail, the way two runs of any Monte Carlo method do. The structure it finds is stable; the pixel-level noise is not.
• Requires volume data from your data feed. Not supported on non-standard chart types.
• The chart timeframe must be lower than the session timeframe.
Chỉ báo
MAD Supertrend ~ C H I P AMAD Supertrend ~ C H I P A is a custom trend-following system that replaces the standard deviation core of a classic Supertrend with Median Absolute Deviation (MAD) — a robust volatility measure that ignores outlier wicks instead of inflating on them. The result is a trail that holds steady through shakeout spikes where stdev-based bands blow out and go blind.
It uses:
A user-selectable source and MAD length
A choice of MAD estimator — true Median-of-deviations for maximum robustness, or Mean for a slightly smoother read
Independent upper and lower MAD multipliers for asymmetric band control
A selectable centerline engine: raw Source for zero lag, Single Median, or a Double Median smoother that kills staircase artefacts without adding meaningful delay
A PSAR-style exit acceleration module — each new closing extreme in the trend tightens the exit trail by a configurable step, down to a user-defined floor
Supertrend ratchet logic with persistent trend state and clean flip detection
The exit acceleration is the key behavioural difference from a standard Supertrend: fresh trends begin at full band width, giving early moves room to survive shakeouts, while mature trends that keep printing new extremes are trailed progressively tighter — so extended runs are exited far closer to their peak. The trail only ever tightens mid-trend and fully resets on each flip.
Alerts fire on confirmed trend flips in both directions.
Note: MAD Supertrend is provided "as is" without formal robustness or optimization testing. Past performance is not indicative of future results; use in live trading only after sufficient back-testing and validation.
Chỉ báo
Gabriel Japanese Candles Screener w/TargetEngulfing (bullish + bearish mirror) and 3 Inside Up / 3 Inside Down, each toggleable
Labels the signal candle with pattern name + BUY ▲ / SELL ▼ and price; triangles on the bar
TARGET ZONE box per signal (ATR-based distance & width, tunable)
Prior-trend filter (reversal only after decline/rally, per the card) and min-body ATR filter to cut noise
Separate alertconditions per pattern plus combined alerts with prices
3 Black Crows (+ mirror 3 White Soldiers): three large-bodied candles in a row, small/no shadows (tunable max-shadow %), each closing beyond the last — treated as continuation, so the trend filter requires a prior downtrend/uptrend and the target projects with the move
3 Outside Down (+ mirror 3 Outside Up): bar 2 fully engulfs bar 1, bar 3 closes a bit beyond bar 2
Existing Engulfing and 3 Inside patterns unchanged; all four families individually toggleable
Each signal keeps the pattern-name label, BUY ▲/SELL ▼ price notation, ATR target zone, and its own alertcondition
Chỉ báo
