TJR Smart Money Model [JOAT]TJR Smart Money Model
An original, non-repainting build of the smart-money day-trading sequence: sweep liquidity, wait for a market-structure shift, confirm with SMT, then enter the retrace — timed to killzones.
What it is
Most "smart money" tools just spray BOS and CHoCH labels wherever price crosses a line. This one follows the actual process the method teaches, as an ordered sequence, and only signals when each step has happened in the right order. It is written from scratch; it implements widely-taught price-action concepts (liquidity, structure, displacement, SMT, killzones) rather than reusing anyone's code.
The sequence it trades
• Liquidity sweep — price raids an obvious swing high or low (where stops rest) and closes back inside. The failed raid, not the level itself, is the trigger. Sweeps are tagged, and the swept buy-side and sell-side liquidity are drawn and labelled.
• Market structure shift (MSS) — after the sweep, a displacement candle (a body larger than an ATR multiple) must break the short-term structure in the opposite direction. Structure is tracked one break per level: each swing can only produce one BOS or CHoCH, so the labels land exactly where the shift occurs instead of being repeated on every bar. This is the direct fix for the "random label" problem common to naive structure scripts.
• SMT divergence — an optional confluence filter. Set a correlated instrument and the tool checks whether that instrument confirms the sweep's new extreme. If your symbol makes a new low but the correlated one does not (or the mirror for highs), that break in correlation is flagged as SMT and can be required for entries. It is read with lookahead disabled, so it never borrows future data.
• Entry — once the MSS confirms, the tool marks the discount/premium zone: the fair-value gap left by the displacement, or the 50% equilibrium of the reversal leg. A signal fires when price retraces into that zone and reacts, inside a user-selected killzone (London and New York AM by default). The stop rests beyond the swept liquidity — the level that invalidates the idea — and targets ladder out in R multiples inside red-risk and green-reward boxes with labelled entry, stop and take-profit prices.
The dashboard
An adjustable "process card" shows exactly which stage the market is in right now — hunting a sweep, swept and awaiting an MSS, or shifted and awaiting the entry retrace — plus the bias, the SMT state, the active killzone, a conviction reading, the current signal, and a live first-target-before-stop tally computed on closed bars only.
How to use it
• Works on any asset and timeframe; it was designed for intraday index, forex and futures trading but the logic is scale-independent.
• For SMT, pair correlated instruments (for example two related indices, or two correlated currency pairs). Leave the correlated symbol blank to trade the model without the SMT filter.
• Set the killzones and timezone to the session you actually trade, or disable the killzone filter to see signals around the clock.
• Read the dashboard stage before acting: the model is a sequence, and the highest-quality entries are the ones where sweep, shift, SMT and killzone all agree.
Settings
Pivot strength, displacement size, sweep-to-MSS and MSS-to-entry windows, fair-value-gap and order-block controls, equilibrium band thickness, SMT symbol and toggle, killzone windows/timezone, candle paint, risk padding and target R multiples, plus dashboard controls.
Originality and usefulness
The value is the ordered, gated state machine: a sweep must precede a displacement-qualified structure shift, which arms an equilibrium/FVG entry, optionally cross-checked against a correlated instrument and a session window. The once-per-level structure logic and the confirmed-bar evaluation make the labels and signals precise and non-repainting — which is what separates this from a pile of overlaid smart-money drawings.
Notes and limitations
• The model is selective by design; on quiet days or ranges it may produce few or no setups. That is intended.
• SMT is only meaningful with a genuinely correlated symbol; a poor pairing produces misleading divergence.
• Displacement and sweeps are defined algorithmically and may differ slightly from a discretionary trader's manual reading.
• The win tally reflects only past bars on the current chart and is not a prediction of future results.
• Educational and analytical tool, not financial advice. Manage your own risk.
— made with passion by officialjackofalltrades
Indicatore
Volatility Drag OscillatorVolatility Drag Oscillator — what is holding exposure costing you, and what does leverage do to it?
Compound growth is g = μ − σ²/2; under leverage, g(L) = L·μ − L²·σ²/2. Return scales with L, drag scales
with L² — which is the whole reason leverage does not raise your probability of success. Volatility is
estimable in hundreds of bars; drift needs decades. So this tool measures only the knowable half:
- DRAG = σ²/2 annualised (Yang-Zhang by default; Close-to-close / Parkinson / Garman-Klass /
Rogers-Satchell selectable to see estimator disagreement = gap-risk information), EWMA-smoothed and
ranked into a percentile so you know if today is a cheap or expensive time to hold.
- DRAG DECOMPOSITION — realised drag split into its exact cumulant pieces: variance (σ²/2) + skew +
excess-kurtosis, shown as "σ² · skw · tail" in %/yr. A fat-tail warning tells you HOW MUCH of your
drag is tails, not just that they exist — and it compares realised drag to its own Gaussian part, so
it can't be fooled by estimator choice.
- LEVERAGE CURVE — drag at 1×/2×/3×, plus break-even L_be = 2μ/σ² and Kelly = μ/σ², shown ONLY as
conditionals on an edge YOU enter. The script never estimates drift, and says why.
READ IT how you like: a familiar 0-100 percentile OSCILLATOR in the pane (cheap<20, expensive>80,
midline 50, like an RSI of holding-cost), or the absolute drag %/yr line. On price, a heat-RIBBON and
green/red regime triangles show cheap→expensive to hold — VOLATILITY regime, direction-agnostic. A red
marker means "expensive, size down", never "go short".
No directional claim and no backtest — there is nothing here to fit. Descriptive risk context, not advice.
Leverage magnifies losses; this shows one cost of it, not all risks. Indicatore
Indicatore
Indian Sectors HeatMapA real-time NSE sector dashboard built for intraday traders. Tracks 3 benchmark indices (Nifty 50, Bank Nifty, Midcap 100) and 13 sector indices in a single color-coded table.
Each row shows the last price, daily change%, and gap% (today's open vs yesterday's close) with a green/red gradient so you can instantly spot sector strength and weakness.
Sectors covered: Auto, Financial Services, FMCG, IT, Media, Metal, Pharma, PSU Bank, Realty, Energy, Commodities, Private Bank, Oil & Gas.
Fully customizable — Sort by highest/lowest change or alphabetically, reposition the table anywhere on the chart, and adjust colors to match your theme. Indicatore
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Gold Dual-Model Fair Value [Regime Adaptive]█ OVERVIEW
Gold Dual-Model Fair Value is a chart overlay that plots two competing fair value estimates for gold, one regressed on the 10 year real yield and one regressed on a global M2 money supply composite, then combines them into a single fair value line by continuously measuring which model currently fits better. The thesis: gold's dominant macro driver is not constant, so a useful fair value model must detect the driver in force rather than assume it.
█ HISTORY / BACKGROUND
The inverse relationship between gold and real interest rates is one of the most widely documented regularities in the asset's modern history and is treated in academic work such as Erb and Harvey's "The Golden Dilemma" (2013). That relationship visibly weakened after 2022, when gold rose while real yields climbed to multi year highs, a divergence commonly attributed to price insensitive official sector buying. Macro strategists, notably Jurrien Timmer, have illustrated this as a regime change in which a real yield model stops explaining gold and a global liquidity model takes over.
The weakness of that illustration is that the regime break is declared after the fact, by inspection. This script's contribution is to make the regime decision endogenous: both models are estimated continuously, and the model in force is chosen by trailing out of sample fit, with no hardcoded break date. The regime change around 2022, if present in the data, emerges from the computation rather than being asserted.
█ HOW IT WORKS
All computation runs on the chart timeframe. The script requests the following series with request.security at the chart resolution, with no lookahead: FRED:DFII10 (10 year TIPS real yield), five M2 series (ECONOMICS:USM2, CNM2, EUM2, JPM2, GBM2) and four conversion rates (FX_IDC:CNYUSD, EURUSD, JPYUSD, GBPUSD).
Step 1. Global M2 composite. Each enabled non US component is converted to US dollars and the enabled components are summed. Two aggregation modes exist. Spot FX converts at the current exchange rate, replicating the standard global liquidity composite. Constant FX converts every bar at the rate captured on the first bar at or after a user defined anchor date, which freezes the currency translation effect and isolates changes in underlying money stocks. The composite is na until every enabled component has data, so its membership never changes mid history and no artificial level jumps are introduced.
Step 2. Two rolling regressions. Over a rolling fit window the script estimates ordinary least squares coefficients from running moments (beta equals covariance over variance, alpha equals mean of y minus beta times mean of x):
• Model A regresses the natural log of the chart close on the level of the 10 year real yield.
• Model B regresses the natural log of the chart close on the natural log of the M2 composite.
Each model produces a log fair value each bar from its current alpha, beta and regressor value.
Step 3. Fit measurement. Each model's residual (log price minus log fair value) is squared and averaged over a shorter trailing evaluation window; the square root is that model's rolling RMSE.
Step 4. Regime and combination. Two output modes:
• Blend (default): the combined log fair value is a weighted average of the two model fair values with weights proportional to inverse RMSE, so the better fitting model dominates smoothly.
• Hard switch: the combined fair value is the fair value of the incumbent model, and the incumbent only changes when the challenger's RMSE beats it by a user set hysteresis margin, which prevents rapid flip flopping when the models fit similarly.
Independently of the mode, the hard switch state machine always runs and its current state is reported in the table and as the background tint, so blend users can still see the discrete regime call.
Step 5. Deviation statistics. The deviation is log price minus combined log fair value. Its rolling standard deviation over the evaluation window defines a z score, and bands are drawn at the fair value times e to the plus and minus (band multiple times sigma). The z score's percent rank over a user defined lookback gives a deviation percentile.
If one model's inputs are unavailable (for example the M2 composite before all enabled components exist), the combined fair value falls back to the available model alone.
█ HOW TO USE
Apply the indicator to a gold chart (spot, futures or a fund proxy) on the weekly timeframe. Weekly is the design resolution for a structural reason: the M2 inputs are monthly series, so on lower resolutions the liquidity regressor is a long staircase while the real yield updates daily, which biases the fit comparison toward the real yield model for reasons unrelated to explanatory power. The default windows (156 and 52 bars) are calibrated as roughly three years and one year of weekly bars. An on chart warning label appears on intraday charts.
Visual elements:
• Orange line: the combined fair value, the primary output.
• Blue thin line: Model A fair value (real yields). Red thin line: Model B fair value (global liquidity). Comparing their paths shows where each model succeeded or failed.
• Gray bands and fill: the plus and minus sigma envelope around the combined fair value. Price above the upper band is statistically rich against the currently fitting model mix, below the lower band statistically cheap, between the bands unremarkable.
• Background tint: blue when the hard switch regime is the real yield model, red when it is the liquidity model.
• Status table: hard switch regime, active mode, each model's RMSE, the real yield model's blend weight, the deviation z score (colored when beyond the band multiple), its percentile, and the M2 aggregation mode.
Interpretation cautions. The fair value is a rolling fit, so a deviation can close either by price moving toward the line or by the line re estimating toward price; a band touch is a valuation observation, not a mechanical entry signal. The regime readout tells you which catalyst matters: in the liquidity regime, a cheap reading resolves with money supply reacceleration rather than falling yields. Comparing Spot FX and Constant FX modes shows how much of the liquidity signal is currency translation rather than money creation; if a stretched reading shrinks materially under Constant FX, part of it was the US dollar itself.
█ SETTINGS
Model group:
• Regression fit window (bars), default 156: the rolling OLS estimation window for both models.
• Fit evaluation window (bars), default 52: the trailing window for RMSE, regime detection and deviation sigma.
• Regime mode, default Blend (inverse RMSE weights): selects between the blended fair value and the hard switch fair value.
• Switch hysteresis (%), default 10: hard switch mode only, the margin by which the challenger RMSE must beat the incumbent before the regime flips.
• Deviation band (sigma), default 2.0: the band multiple and the z score threshold for table coloring.
• Deviation percentile lookback (bars), default 260: the window for the z score percent rank.
Global M2 composite group:
• FX aggregation, default Spot FX: Spot FX or Constant FX (anchor date), as described above.
• Constant FX anchor date, default 1 January 2018: the date whose exchange rates are frozen in Constant FX mode.
• US M2, China M2, Eurozone M2, Japan M2, UK M2, all enabled by default: component toggles. Disabling a short history component lets the composite, and therefore Model B, begin earlier.
Display group:
• Show individual model lines, default on.
• Show deviation bands, default on.
• Show status table, default on.
• Regime background tint, default on.
• Table position, default top right.
█ WHAT MAKES IT ORIGINAL
Published global M2 composites plot the liquidity series itself, usually with a fixed time offset against an asset, and published regime indicators classify price behavior such as trending versus ranging. This script occupies a different intersection and does three things no script in either group does:
• It converts both macro drivers into explicit fair value estimates via rolling least squares regression rather than displaying the raw series, so the drivers and the asset live on the same axis and disagreement between them is measurable in price terms.
• It selects or weights the two models by trailing out of sample RMSE, so the widely discussed post 2022 handoff from real yields to liquidity is detected by the data instead of hardcoded, and any future handoff back requires no code change.
• Its liquidity composite offers a Constant FX aggregation mode alongside the standard Spot FX mode. Spot converted composites embed the US dollar's own fluctuations, which are correlated with gold, into the liquidity measure. The Constant FX mode removes that translation effect, giving users a built in test of how much of the liquidity signal is monetary and how much is currency denomination. To this author's knowledge no published composite exposes this distinction.
█ NOTES / LIMITATIONS
• The M2 inputs are monthly economic series requested at the chart resolution. They hold their value between releases, so the liquidity fair value moves in steps between prints, and releases arrive with publication lag.
• Economic series are subject to vendor revisions. A revised M2 or real yield history changes the regression inputs, so the historical fair value shown today can differ from what the script displayed in real time. This is a property of the data, not lookahead: the script uses no lookahead and requests no timeframe above the chart's.
• Model B is na until every enabled M2 component and its conversion rate have history, and each regression additionally needs the full fit window plus evaluation window of bars before its output and RMSE are defined. On deep weekly gold history the real yield model also cannot begin before the real yield series itself starts in 2003. Expect a substantial warm up period at the left edge of the chart, during which the script falls back to whichever single model is available, or plots nothing.
• The logic is designed for the weekly timeframe. On daily and lower resolutions the mixed update frequencies of the regressors distort the fit comparison, the default windows lose their intended calendar meaning, and an on chart label warns on intraday charts.
• The script uses the chart symbol's close as the dependent variable. Its economic reasoning applies to gold denominated symbols; applied to unrelated symbols it will still compute, but the output has no stated meaning.
• The fair value lines are descriptive regression fits over past data. They quantify the historical relationship between gold and each driver and say nothing about future prices. Indicatore
Rolling Volume Delta█ OVERVIEW
Rolling Volume Delta (RVD) estimates net buying vs. selling pressure per bar, then weights that pressure by how much price actually moved — so a strong directional bar counts for more than a quiet, indecisive one. The result is summed over a rolling window, smoothed, and normalized against total volume so it reads consistently across different instruments and volume regimes.
█ CONCEPT
Most volume delta tools estimate buy/sell pressure and stop there. RVD adds one more step: it multiplies each bar's estimated delta by the magnitude of that bar's price change. The logic is that a bar where buyers dominate AND price actually moved higher represents more conviction than a bar with the same buy/sell split during a flat, choppy stretch. That weighted delta is then summed over a rolling window and smoothed, so the final line reflects sustained pressure rather than single-bar noise.
█ HOW IT WORKS
1. Buy/sell split: each bar's volume is divided between buy and sell based on where the close landed within that bar's high-low range (close near the high = buy-weighted, close near the low = sell-weighted).
2. Price weighting: that delta is multiplied by the percentage price change over a configurable lookback, so bars with bigger moves are weighted more heavily.
3. Rolling sum: the weighted delta is summed over a configurable lookback window.
4. Smoothing: an EMA is applied to reduce noise.
5. Normalization: the smoothed result is divided by total volume over the same window and expressed as a percentage, keeping the scale comparable across tickers and sessions.
█ HOW IT DIFFERS FROM OTHER VOLUME DELTA SCRIPTS
Other delta oscillators calculate buy/sell pressure and smooth it directly. RVD's price-weighting step means the indicator isn't just "how much delta happened" but "how much delta happened relative to how much the market actually moved" — filtering out high-volume, low-conviction chop from the signal.
█ SETTINGS
- Lookback Length — bars summed together for the rolling delta. Longer = smoother, slower.
- Smoothing — EMA length applied to the rolling sum.
- Momentum Lookback — bars back used to measure price change for weighting. Higher values emphasize sustained moves over single-bar spikes.
As bars carry more information on their own (higher timeframes), less summing and smoothing is needed for a clean read. Within any timeframe, trending conditions benefit from longer/smoother settings that confirm sustained pressure and filter chop, while ranging conditions benefit from shorter/quicker settings that catch reversals near the extremes at the cost of more false flips in the middle of the range.
Suggested starting points:
Timeframe | Condition | Length | Smoothing | Momentum Lookback
5-30 min | Trend / Price Discovery | 14-20 | 3-5 | 1-2
5-30 min | Range / Accumulation | 8-10 | 1-2 | 1
1-4 hour | Trend / Price Discovery | 10-14 | 2-3 | 2-4
1-4 hour | Range / Accumulation | 6-8 | 1-2 | 1-2
Daily+ | Trend / Price Discovery | 8-10 | 2 | 3-5
Daily+ | Range / Accumulation | 5-6 | 1 | 2
These are included in each input's tooltip in the settings popup as well.
█ NOTES
This is a volume-estimation tool based on standard OHLCV data (bar range and close position), not true tick-level buy/sell data — most retail data feeds don't provide that, so this is the same practical tradeoff most public volume delta scripts make. It's intended as a context tool for reading order flow alongside price action, not a standalone signal generator.
This publication is for educational purposes only and does not constitute financial advice. Past performance and visual patterns do not guarantee future results. Indicatore
EMA Multi Cross + VWAP + Support/Resistance Breaks & RetestsOverview
The EMA Multi Cross + VWAP + Support/Resistance Breaks & Retests indicator is an all-in-one technical analysis tool that combines trend-following moving averages, VWAP, and dynamic support/resistance detection. It helps traders identify trend direction, institutional price levels, momentum shifts, and high-probability breakout or pullback opportunities.
The indicator overlays all information directly on the price chart, making it suitable for intraday, swing, and positional trading.
Features
1. Multiple Exponential Moving Averages (EMAs)
The indicator plots the following EMAs:
EMA 9
EMA 13
EMA 15
EMA 21
EMA 40
EMA 50
EMA 60
EMA 120
EMA 125
EMA 200
EMA 250
EMA 350
These EMAs help identify:
Short-term momentum
Intermediate trend
Long-term trend
Dynamic support and resistance
Trend alignment
2. Volume Weighted Average Price (VWAP)
The indicator includes a configurable Session VWAP, calculated using the Typical Price (HLC3), matching TradingView's standard VWAP calculation.
Why VWAP?
VWAP represents the average price traded throughout the session, weighted by volume. It is widely used by institutional traders as a benchmark for fair value.
Uses
Identify the intraday trend.
Determine whether price is trading at a premium or discount relative to the session average.
Spot dynamic support and resistance.
Filter EMA crossover signals.
Improve trade timing by avoiding entries against the prevailing intraday bias.
Typical Interpretation
Bullish
Price above VWAP
VWAP sloping upward
Bearish
Price below VWAP
VWAP sloping downward
Range-bound
Price repeatedly crossing VWAP
Flat VWAP
3. EMA Cross Detection
The indicator continuously monitors EMA crossovers.
Visual Cross Marker
A cross (✚) is plotted whenever:
EMA 9 crosses above EMA 21
EMA 9 crosses below EMA 21
Bullish crosses are displayed in green.
Bearish crosses are displayed in red.
The marker is plotted directly on the EMA 9 line for precise visualization.
4. EMA Alerts
Built-in alert conditions include:
EMA 9 / EMA 15
Bullish crossover
Bearish crossover
EMA 9 / EMA 21
Bullish crossover
Bearish crossover
EMA 13 / EMA 50
Bullish crossover
Bearish crossover
EMA 21 / EMA 200
Bullish crossover
Bearish crossover
5. VWAP Alerts (if enabled in the script)
Optional alerts can notify when:
Price crosses above VWAP.
Price crosses below VWAP.
EMA 9 crosses above VWAP.
EMA 9 crosses below VWAP.
These alerts can help identify changes in intraday momentum and confirm trend direction.
6. Dynamic Support & Resistance
Instead of plotting fixed horizontal levels, the indicator automatically identifies important support and resistance zones using:
Price pivots
Delta volume
ATR-based zone width
This creates adaptive support/resistance zones rather than single price lines.
7. Pivot Detection
The indicator identifies:
Support
Swing lows (pivot lows)
Resistance
Swing highs (pivot highs)
The pivot lookback period is user-configurable.
8. Delta Volume Filter
Only pivots with meaningful buying or selling pressure are considered.
Delta volume is estimated as:
Positive volume for bullish candles.
Negative volume for bearish candles.
This helps filter out weaker levels and focus on areas with stronger market participation.
9. ATR-Based Support & Resistance Zones
Rather than drawing thin horizontal lines, the indicator creates zones whose width is based on the Average True Range (ATR).
This approach provides:
More realistic support and resistance areas.
Better handling of normal price fluctuations.
Clearer visualization of supply and demand zones.
10. Support Zones
Support zones are created when:
A pivot low forms.
Positive delta volume exceeds the configured threshold.
Support is displayed as a green rectangle.
11. Resistance Zones
Resistance zones are created when:
A pivot high forms.
Negative delta volume exceeds the configured threshold.
Resistance is displayed as a red rectangle.
12. Automatic Zone Extension
Support and resistance boxes automatically extend with each new bar, ensuring key price levels remain visible until a new qualifying zone is established.
13. Breakout Detection
The indicator identifies when price breaks through significant support or resistance zones.
Resistance Breakout
When price moves above a resistance zone:
The zone changes to green.
The border becomes dashed.
A "Break Res" label is displayed.
Support Breakdown
When price moves below a support zone:
The zone changes to red.
The border becomes dashed.
A "Break Sup" label is displayed.
14. Retest / Hold Detection
The indicator also highlights successful retests.
Support Hold
Occurs when price revisits support and bounces.
Displayed as:
Green support zone.
Green ◆ marker below the candle.
Resistance Hold
Occurs when price revisits resistance and gets rejected.
Displayed as:
Red resistance zone.
Red ◆ marker above the candle.
Visual Elements
The indicator includes:
12 Exponential Moving Averages (EMAs).
Session VWAP.
EMA 9/21 crossover markers.
Dynamic support zones.
Dynamic resistance zones.
Breakout labels.
Retest (hold) markers.
Alerts Included
The indicator supports alerts for:
EMA 9 ↔ EMA 15 crossover.
EMA 9 ↔ EMA 21 crossover.
EMA 13 ↔ EMA 50 crossover.
EMA 21 ↔ EMA 200 crossover.
Price ↔ VWAP crossover (if enabled).
EMA 9 ↔ VWAP crossover (if enabled).
Best Use Cases
This indicator is designed for:
Intraday trading.
Swing trading.
Positional trading.
Trend-following strategies.
Breakout trading.
Pullback trading.
VWAP-based trading.
Support and resistance analysis.
Suggested Trading Approach
Bullish Setup
Price is above VWAP.
EMA 9 is above EMA 21.
Medium- and long-term EMAs are aligned upward.
Price breaks above resistance or bounces from support with confirmation.
Bearish Setup
Price is below VWAP.
EMA 9 is below EMA 21.
Medium- and long-term EMAs are aligned downward.
Price breaks below support or is rejected from resistance.
Combining the trend indicated by the EMAs, the institutional benchmark provided by VWAP, and the dynamically generated support and resistance zones can help improve trade selection and reduce false signals. Indicatore
Strategia
Strategia
EMA Multi Cross + VWAP + Support/Resistance Breaks & RetestsOverview
The EMA Multi Cross + VWAP + Support/Resistance Breaks & Retests indicator is an all-in-one technical analysis tool that combines trend-following moving averages, VWAP, and dynamic support/resistance detection. It helps traders identify trend direction, institutional price levels, momentum shifts, and high-probability breakout or pullback opportunities.
The indicator overlays all information directly on the price chart, making it suitable for intraday, swing, and positional trading.
Features
1. Multiple Exponential Moving Averages (EMAs)
The indicator plots the following EMAs:
EMA 9
EMA 13
EMA 15
EMA 21
EMA 40
EMA 50
EMA 60
EMA 120
EMA 125
EMA 200
EMA 250
EMA 350
These EMAs help identify:
Short-term momentum
Intermediate trend
Long-term trend
Dynamic support and resistance
Trend alignment
2. Volume Weighted Average Price (VWAP)
The indicator includes a configurable Session VWAP, calculated using the Typical Price (HLC3), matching TradingView's standard VWAP calculation.
Why VWAP?
VWAP represents the average price traded throughout the session, weighted by volume. It is widely used by institutional traders as a benchmark for fair value.
Uses
Identify the intraday trend.
Determine whether price is trading at a premium or discount relative to the session average.
Spot dynamic support and resistance.
Filter EMA crossover signals.
Improve trade timing by avoiding entries against the prevailing intraday bias.
Typical Interpretation
Bullish
Price above VWAP
VWAP sloping upward
Bearish
Price below VWAP
VWAP sloping downward
Range-bound
Price repeatedly crossing VWAP
Flat VWAP
3. EMA Cross Detection
The indicator continuously monitors EMA crossovers.
Visual Cross Marker
A cross (✚) is plotted whenever:
EMA 9 crosses above EMA 21
EMA 9 crosses below EMA 21
Bullish crosses are displayed in green.
Bearish crosses are displayed in red.
The marker is plotted directly on the EMA 9 line for precise visualization.
4. EMA Alerts
Built-in alert conditions include:
EMA 9 / EMA 15
Bullish crossover
Bearish crossover
EMA 9 / EMA 21
Bullish crossover
Bearish crossover
EMA 13 / EMA 50
Bullish crossover
Bearish crossover
EMA 21 / EMA 200
Bullish crossover
Bearish crossover
5. VWAP Alerts (if enabled in the script)
Optional alerts can notify when:
Price crosses above VWAP.
Price crosses below VWAP.
EMA 9 crosses above VWAP.
EMA 9 crosses below VWAP.
These alerts can help identify changes in intraday momentum and confirm trend direction.
6. Dynamic Support & Resistance
Instead of plotting fixed horizontal levels, the indicator automatically identifies important support and resistance zones using:
Price pivots
Delta volume
ATR-based zone width
This creates adaptive support/resistance zones rather than single price lines.
7. Pivot Detection
The indicator identifies:
Support
Swing lows (pivot lows)
Resistance
Swing highs (pivot highs)
The pivot lookback period is user-configurable.
8. Delta Volume Filter
Only pivots with meaningful buying or selling pressure are considered.
Delta volume is estimated as:
Positive volume for bullish candles.
Negative volume for bearish candles.
This helps filter out weaker levels and focus on areas with stronger market participation.
9. ATR-Based Support & Resistance Zones
Rather than drawing thin horizontal lines, the indicator creates zones whose width is based on the Average True Range (ATR).
This approach provides:
More realistic support and resistance areas.
Better handling of normal price fluctuations.
Clearer visualization of supply and demand zones.
10. Support Zones
Support zones are created when:
A pivot low forms.
Positive delta volume exceeds the configured threshold.
Support is displayed as a green rectangle.
11. Resistance Zones
Resistance zones are created when:
A pivot high forms.
Negative delta volume exceeds the configured threshold.
Resistance is displayed as a red rectangle.
12. Automatic Zone Extension
Support and resistance boxes automatically extend with each new bar, ensuring key price levels remain visible until a new qualifying zone is established.
13. Breakout Detection
The indicator identifies when price breaks through significant support or resistance zones.
Resistance Breakout
When price moves above a resistance zone:
The zone changes to green.
The border becomes dashed.
A "Break Res" label is displayed.
Support Breakdown
When price moves below a support zone:
The zone changes to red.
The border becomes dashed.
A "Break Sup" label is displayed.
14. Retest / Hold Detection
The indicator also highlights successful retests.
Support Hold
Occurs when price revisits support and bounces.
Displayed as:
Green support zone.
Green ◆ marker below the candle.
Resistance Hold
Occurs when price revisits resistance and gets rejected.
Displayed as:
Red resistance zone.
Red ◆ marker above the candle.
Visual Elements
The indicator includes:
12 Exponential Moving Averages (EMAs).
Session VWAP.
EMA 9/21 crossover markers.
Dynamic support zones.
Dynamic resistance zones.
Breakout labels.
Retest (hold) markers.
Alerts Included
The indicator supports alerts for:
EMA 9 ↔ EMA 15 crossover.
EMA 9 ↔ EMA 21 crossover.
EMA 13 ↔ EMA 50 crossover.
EMA 21 ↔ EMA 200 crossover.
Price ↔ VWAP crossover (if enabled).
EMA 9 ↔ VWAP crossover (if enabled).
Best Use Cases
This indicator is designed for:
Intraday trading.
Swing trading.
Positional trading.
Trend-following strategies.
Breakout trading.
Pullback trading.
VWAP-based trading.
Support and resistance analysis.
Suggested Trading Approach
Bullish Setup
Price is above VWAP.
EMA 9 is above EMA 21.
Medium- and long-term EMAs are aligned upward.
Price breaks above resistance or bounces from support with confirmation.
Bearish Setup
Price is below VWAP.
EMA 9 is below EMA 21.
Medium- and long-term EMAs are aligned downward.
Price breaks below support or is rejected from resistance.
Combining the trend indicated by the EMAs, the institutional benchmark provided by VWAP, and the dynamically generated support and resistance zones can help improve trade selection and reduce false signals. Indicatore
Indicatore
Smart Trend Dashboard ProSmart Trend Dashboard Pro is an all-in-one trend confirmation indicator designed to help traders identify high-probability trading opportunities with a clean and simple dashboard. It combines EMA crossover signals, an RSI filter, and multi-timeframe trend confirmation in one place, allowing traders to make faster and more confident decisions.
How It Works
The indicator generates BUY and SELL signals using EMA crossovers while filtering weak setups with RSI. It also checks the trend on two higher timeframes and displays everything in a dashboard so you can instantly see whether the market is bullish, bearish, or neutral before entering a trade.
Key Features
• Smart BUY and SELL signals
• Multi-Timeframe Trend Confirmation
• EMA Trend Detection
• RSI Momentum Filter
• Live Dashboard
• Trend Colored Candles
• Built-in Trading Alerts
• Fully Customizable Settings
Markets Supported
This indicator can be used on almost every liquid financial market, including:
• Forex
• Gold (XAUUSD)
• Silver (XAGUSD)
• Cryptocurrency
• Stocks
• Indices
• Commodities
Since it is based on price action and trend analysis, it works across different asset classes.
How to Use
Add Smart Trend Dashboard Pro to your TradingView chart.
Wait for the dashboard to confirm the market trend.
Only take BUY trades when the higher timeframe trend is bullish.
Only take SELL trades when the higher timeframe trend is bearish.
Use the RSI filter to avoid weak or overextended entries.
Always combine the signals with proper risk management and your own market analysis.
Best Timeframes
• Scalping: 1M–5M
• Intraday: 15M–1H
• Swing Trading: 4H–1D
Smart Trend Dashboard Pro is designed to simplify market analysis by combining trend, momentum, and multi-timeframe confirmation into one easy-to-read dashboard, helping traders reduce false signals and improve trade selection. Indicatore
BIST Multi-Strategy Screener (SuperTrend, MACD, OBV, MFI, BB)What it does
This indicator is designed for TradingView's Pine Screener. It combines five independent strategies — SuperTrend, MACD, Bollinger Bands + Volume, OBV, and MFI — into a single composite scoring model (0–100) and exposes every signal as a numeric plot, so each one can be used as a filter column in the Pine Screener.
How it works
Each strategy produces two states:
Trigger (a fresh crossover/flip on the current bar) → generates a "New Buy" state
Continuation (the condition is still active) → generates a "Buy (Ongoing)" state
Scoring weights: SuperTrend flip +80, Bollinger breakout with 1.5× average volume +85, MACD crossover +70, MFI crossing above 50 +65, OBV crossing above its EMA(20) +75. A special "Sniper" condition (SuperTrend flip confirmed by OBV) scores 95. Continuation states score lower (60–75). The total is capped at 100. A separate volume-spike flag fires when volume exceeds 2× its 20-bar average.
The rationale for the mashup: SuperTrend defines the trend regime, MACD and MFI confirm momentum, OBV confirms money flow, and the Bollinger + volume condition detects breakouts. Requiring agreement between trend, momentum and volume-based tools filters out many single-indicator false signals.
How to use it
Save the script, open Pine Screener, choose your watchlist (e.g. BIST stocks) and select this indicator.
Add filters on the plotted columns, for example: `New Buy = 1`, `Score ≥ 85`, `Volume Spike = 1`, or `Sniper (ST+OBV) = 1`.
An optional Heikin Ashi mode recalculates all signals on smoothed candles.
Settings
Calculation source: Normal candles / Heikin Ashi
ATR period and multiplier for SuperTrend (default 14 / 1.5)
Limitations
Signals are computed on bar close; intrabar values may repaint until the bar closes. Heikin Ashi mode uses synthetic prices and should not be used to estimate real entry prices. This script is a screening tool, not a trading system, and past signal behavior does not guarantee future results. Educational purposes only — not financial advice.
Indicatore
NY Open Range Gap Reversal (M1D)M1D NY Open Range Gap Reversal
OVERVIEW
A reference and marking tool for the New York Regular Trading Hours (RTH) opening gap. It maps the price and time levels of the classic open-gap "manipulation then reversal" sequence so a discretionary trader can read the session at a glance. It draws levels and flags conditions on closed bars — it does not place orders, produce buy/sell calls, or predict outcomes.
THE IDEA
At the 09:30 ET cash open a gap frequently forms between the prior session's 16:15 ET RTH close and today's open. That gap often produces an early "judas swing": a first push off the open that raids liquidity, fails, and reverses back through the gap toward a gap-fill draw. This indicator frames that sequence with objective, repeatable levels and time windows so the read is consistent from day to day.
WHAT IT DRAWS
- RTH Open (True Day Open) line, annotated with the day's gap size and direction.
- Opening-gap retracement levels at 25%, 50% (the primary draw, emphasised), 75%, and 100% (full fill = the prior RTH close).
- Shading of the 09:30-10:00 gap-fill window and a 10:00 checkpoint line.
- Opening Range high and low (first N minutes of RTH; default 30).
- Liquidity Sweep flag when the opening-range extreme is taken and price closes back inside (the manipulation leg).
- SMT divergence flag against two correlated index futures (default YM and ES), pivot-based. Each flag names which comparison index diverged (e.g. "SMT - YM"), so a one-sided divergence is distinguishable from both indices disagreeing.
- An info panel showing gap size, live gap-fill percentage, a countdown to the RTH close, the day's directional bias, and which SMT comparison symbols are in play.
- Right-margin labels that sit within a configurable ATR distance of each other are merged into one line of text instead of overlapping illegibly.
HOW IT WORKS
Session handling uses the exchange clock in the America/New_York timezone, so it is daylight-saving safe with no fixed offset. The gap is measured from the prior RTH session's 16:15 ET futures close to the current 09:30 ET open; the electronic/Globex 17:00 ET close is intentionally not used. Directional bias is derived from gap direction: a gap up frames a bearish fade toward the fill, a gap down frames a bullish fade. The Sweep and SMT modules only evaluate on days whose gap is at or above a configurable minimum. The minimum can be expressed as a multiple of the previous day's ATR (the default, 0.15, so the threshold scales with each instrument's own volatility), as a percentage of price, or in raw points. Both modules arm only after the opening range locks (SMT pivot history is still tracked through the range, so the first pivot after the lock has a same-session reference; an input allows SMT inside the range). By default an SMT flag requires BOTH comparison symbols to fail to confirm the chart's pivot; an input relaxes this to either one. A comparison symbol that tracks the same index as the chart cannot diverge from it, so that leg is automatically excluded and the info panel reports which symbols remain active. Line and label activity (extension and new Sweep/SMT detection) stops at a configurable cutoff (default 11:30 ET) and resumes automatically at the next session's open; the info panel is unaffected and keeps updating through the close. All detection is evaluated on bar close (barstate.isconfirmed) to avoid repainting, and prior-day drawings are removed at the 16:15 ET boundary so nothing carries into the next session.
HOW TO USE IT
Apply to CME equity-index futures (for example MNQ/NQ, MES/ES, MYM/YM) on an intraday execution timeframe such as 1-5 minute. Read the levels as context: the gap-fill levels are potential draws, the opening range and its sweep mark the manipulation leg, and the SMT flag marks a confirming (or diverging) move in the correlated indices. The trader decides where and how to act — the script does not mark an entry. Every module, colour, time window, label size, and the SMT symbol pair are adjustable in the settings.
INPUTS
Grouped controls for session times, the gap minimum (ATR-relative, percent, or points) and which fib levels to show, opening-range length, timing references, and the Sweep / SMT modules (symbol pair, pivot length, both-or-either divergence, bias filter). Every drawn line and label has its own colour, line style, and label text, on top of global controls for the brand colours, line width, label size, right-margin offset, and info-table position.
NOTES
- This is an indicator, not a strategy: it does not generate orders, alerts to enter, or performance results.
- It evaluates conditions on closed bars and does not repaint.
- Descriptions of how gaps have tended to behave are informational, not predictive.
DISCLAIMER
This script is provided for educational and informational purposes only. It is not financial advice and is not a recommendation to buy or sell any instrument. Trading futures carries a substantial risk of loss. Past behaviour is not indicative of future results. You are solely responsible for your own trading decisions. Test thoroughly before relying on it in any live environment. Indicatore
CRT PatternCRT Pattern automatically detects and manages CRT (Candle Range Theory) setups on a user-selected higher timeframe, displaying all key structural elements while providing a comprehensive set of alerts for discretionary trading, automation, and Study-on-Study integrations.
The indicator automatically identifies:
• Range Candle
• Inside Candles
• Sweep Candle
• CRT confirmation
• Discount Zone
• All major structural levels (CRH, CRL, CRM, SH/SL, and Discount Border)
Once a pattern is confirmed, the indicator continues to track it until its target is reached or its structure becomes invalid.
How the Indicator Works
The detection process begins by searching for a Range Candle.
A candle qualifies as a Range Candle only if both of the following conditions are met:
• Its body represents at least the specified percentage of the candle's total range.
• Its size exceeds the user-defined ATR threshold.
After a valid Range Candle is found, the indicator monitors one of three possible outcomes:
• One or more Inside Candles are formed.
• A Sweep Candle confirms the CRT pattern.
• The potential setup is invalidated before confirmation.
Once the Sweep Candle closes, the CRT is considered confirmed, and all structural levels and zones are automatically plotted on the chart. From that point forward, the indicator does not recalculate the pattern. Instead, it simply manages the already established structure until the pattern is completed or invalidated.
Pattern Components
Once a CRT is confirmed, the indicator displays every key element of its structure.
Range Candle
The first candle of the pattern that defines the entire trading range. It is highlighted with a colored box:
• Green for a bullish Range Candle.
• Red for a bearish Range Candle.
The CRH, CRL, and CRM levels are all derived from this candle.
Inside Candle
Candles whose entire range remains inside the Range Candle. These candles are displayed as gray boxes. There is no limit to the number of Inside Candles that may appear before the Sweep Candle.
Sweep Candle
The candle that confirms the CRT pattern.
For a Long CRT, the Sweep Candle:
• trades below the Range Candle's low;
• closes back above CRL.
For a Short CRT, it:
• trades above the Range Candle's high;
• closes back below CRH.
A CRT is considered confirmed only after the Sweep Candle has closed.
Like the Range Candle, the Sweep Candle is highlighted according to its direction:
• Green if it closes bullish.
• Red if it closes bearish.
CRH (Candle Range High)
The upper boundary of the Range Candle.
Displayed as a red dotted horizontal line.
CRL (Candle Range Low)
The lower boundary of the Range Candle.
Displayed as a green dotted horizontal line.
CRM (Candle Range Mid)
The midpoint of the Range Candle.
It is calculated as the midpoint between the candle's High and Low.
Displayed as a gray dotted horizontal line.
SH / SL
The extreme price of the Sweep Candle.
• SH (Sweep High) is used for Short CRTs.
• SL (Sweep Low) is used for Long CRTs.
Displayed as the corresponding dotted horizontal line.
Discount Border
The boundary of the Discount Zone.
Its position depends on the selected Discount Border setting and can be based on one of the following reference levels:
• CRM
• CRH/CRL
• SH/SL
• Sweep Open
• Sweep Close
It is displayed as a yellow dotted horizontal line.
Discount Zone
The area between the Sweep level and the selected Discount Border.
This zone represents the preferred area for evaluating potential entries after a CRT has been confirmed.
• Green for Long CRTs.
• Red for Short CRTs.
Pattern Lifecycle
Once a CRT has been confirmed, the indicator continues tracking it until one of the following conditions occurs.
1. Target Reached
• A Long CRT is considered complete when price reaches CRH.
• A Short CRT is considered complete when price reaches CRL.
Once the target has been reached, the pattern is no longer updated.
2. Sweep Failure
• A Long CRT becomes invalid if a candle on the selected higher timeframe closes below SL.
• A Short CRT becomes invalid if a candle on the selected higher timeframe closes above SH.
Important: Sweep failure is confirmed only by the close of the selected higher timeframe candle. Intrabar breaks or wick penetrations do not invalidate the pattern.
3. Completed Pattern Display
The behavior of completed patterns is controlled by the Show Only Active Patterns setting.
• Enabled — completed or invalidated patterns are automatically removed from the chart.
• Disabled — the pattern stops updating but remains on the chart as historical reference.
Key Features
• Designed to operate on a chart timeframe lower than the selected HTF.
• The selected Range Candle timeframe must always be higher than the current chart timeframe.
• All structural calculations are based exclusively on candles from the selected higher timeframe.
• Multiple active CRT patterns can be tracked simultaneously.
• Once confirmed, every structural level remains fixed for the lifetime of the pattern.
• The indicator does not repaint confirmed patterns. After confirmation, only the graphical extensions (lines and zones) continue extending to the latest bar while the underlying structure remains unchanged.
Alerts
The indicator provides a complete set of alerts for discretionary trading, automation, and custom workflows.
All alerts can be used with:
• Standard TradingView Alerts
• Webhooks
• Automated trading systems
• Study-on-Study integrations
• Custom indicators and strategies
Pattern Alerts
New CRT Pattern
Triggers whenever any new CRT (Long or Short) is confirmed.
New CRT Long Pattern
Triggers only when a Long CRT is confirmed.
New CRT Short Pattern
Triggers only when a Short CRT is confirmed.
Discount Zone Alerts
Discount Long
Active while the closing price remains inside the Long Discount Zone. Condition:
SL ≤ Close ≤ Discount Border
This is a state-based alert rather than a one-time event. As long as the closing price remains inside the Long Discount Zone, the alert condition evaluates to true.
Discount Short
Active while the closing price remains inside the Short Discount Zone. Condition:
Discount Border ≤ Close ≤ SH
Like the Long version, this is a state-based alert rather than a single trigger.
Structural Level Cross Alerts
The following alerts detect when the closing price crosses one of the CRT structural levels.
Each alert is evaluated using bar closes only.
CRL Up Cross
Triggers when the closing price crosses CRL from below.
CRL Down Cross
Triggers when the closing price crosses CRL from above.
CRH Up Cross
Triggers when the closing price crosses CRH from below.
CRH Down Cross
Triggers when the closing price crosses CRH from above.
CRM Up Cross
Triggers when the closing price crosses CRM from below.
CRM Down Cross
Triggers when the closing price crosses CRM from above.
SH/SL Up Cross
Triggers when the closing price crosses the Sweep level from below.
• SL is used for Long CRTs.
• SH is used for Short CRTs.
SH/SL Down Cross
Triggers when the closing price crosses the Sweep level from above.
• SL is used for Long CRTs.
• SH is used for Short CRTs.
Discount Border Up Cross
Triggers when the closing price crosses the selected Discount Border from below.
The actual level depends on the Discount Border setting:
• CRM
• CRH / CRL
• SH / SL
• Sweep Open
• Sweep Close
Discount Border Down Cross
Triggers when the closing price crosses the selected Discount Border from above.
The reference level depends on the current Discount Border configuration.
Important Notes About Cross Alerts
All crossing alerts are calculated using the closing price only. If price temporarily breaks a level with its wick but closes on the same side of that level, no crossing alert will be generated. This behavior intentionally filters out intrabar noise and provides consistent, non-ambiguous signals for discretionary trading and automated systems.
Study-on-Study Compatibility
Every alert condition exposed by the indicator can also be used through TradingView's Study-on-Study functionality. This allows CRT Pattern to serve as a structural filter for other indicators and strategies.
Typical use cases include:
• allowing entries only while price is inside a Discount Zone;
• confirming entries after crossing CRH, CRL, CRM, SH/SL, or the selected Discount Border;
• filtering signals based on the presence of an active Long or Short CRT;
• combining CRT structure with proprietary entry or exit logic.
Since all structural levels become fixed once a pattern is confirmed, Study-on-Study integrations receive stable, non-repainting signals throughout the lifetime of the pattern.
Settings
Range Settings
Timeframe
Specifies the higher timeframe (HTF) used for CRT detection. The selected timeframe must be higher than the current chart timeframe. All pattern detection and structural calculations are performed using candles from this timeframe.
Body Min. %
Defines the minimum percentage of the candle's body relative to its total range for a candle to qualify as a Range Candle. Higher values restrict detection to stronger, more impulsive candles, while lower values allow a broader range of setups.
Candle Min. Size
Defines the minimum size of a Range Candle expressed in ATR multiples. This filter helps eliminate insignificant or low-volatility ranges. Increasing the value results in fewer but generally stronger setups.
Max. Pullback %
Defines the maximum allowed pullback before the Sweep Candle forms. If price retraces beyond the specified percentage of the Range Candle before the pattern is confirmed, the potential CRT is considered invalid and discarded.
Discount Border
Selects which structural level is used as the boundary of the Discount Zone.
Available options:
• Range Middle (CRM) – the midpoint of the Range Candle.
• Range High / Low (CRH / CRL) – the opposite boundary of the Range Candle.
• Sweep High / Low (SH / SL) – the extreme of the Sweep Candle.
• Sweep Open (SO) – the opening price of the Sweep Candle.
• Sweep Close (SC) – the closing price of the Sweep Candle.
Changing this setting automatically updates both the displayed Discount Zone and the corresponding Discount Border alerts.
Visual Settings
Show Only Active Patterns
Controls how completed patterns are displayed.
• Enabled – completed or invalidated CRTs are automatically removed from the chart.
• Disabled – completed patterns remain visible as historical reference but are no longer updated.
Color Settings
Every graphical element can be customized independently, including:
• Bullish Range Candle
• Bearish Range Candle
• Inside Candles
• CRH
• CRL
• CRM
• SH
• SL
• Discount Border
• Long Discount Zone
• Short Discount Zone
This makes it easy to integrate the indicator with any TradingView chart theme.
Design Philosophy
CRT Pattern is designed to provide an objective and consistent visualization of CRT market structure without requiring manual drawing or interpretation. Every stage of the pattern—from detection to completion—is handled automatically. Once confirmed, all structural levels remain fixed, ensuring that the indicator provides stable, non-repainting references throughout the lifetime of the pattern.
The indicator can be used as:
• a standalone market structure analysis tool;
• a discretionary trading aid;
• a signal source for automated systems;
• or a structural component within more advanced Study-on-Study workflows.
Final Notes
• Supports multiple active CRT patterns simultaneously.
• Works on any market and any chart timeframe, provided the selected HTF is higher than the chart timeframe.
• Uses only confirmed higher timeframe data for pattern confirmation.
• Confirmed CRT patterns never repaint.
• All structural alerts are based exclusively on bar closing prices, ensuring deterministic and reliable behavior for both manual trading and automation.
Indicatore
Indicatore
ATK/DEF Price Action Engine PAE -ENGINE PAE - Price Action Engine is a custom market behavior analysis framework designed to study the interaction between candle structure, momentum development, liquidity activity, and price movement characteristics.
The idea behind PAE comes from the observation that price movement is not only defined by whether the market moves upward or downward. Each candle contains multiple layers of information, including body strength, wick rejection, volume participation, directional pressure, and movement consistency.
Traditional indicators usually focus on a single measurement source, such as price average, momentum calculation, or volume analysis. PAE takes a multi-dimensional approach by combining several independent analytical components into one structured observation system.
The purpose of PAE is not to predict future market movement, but to provide a visual representation of current market behavior through matheml analysis of price and volume data.
Core Concept
These concepts are visualized through multiple internal calcula instead of relying on a single traditional indicator formula.
Main Components
1. K TURN — Price Turning Behavior
K TURN analyzes changes in short-term price direction together with liquidity flow variation.
The calcula considers:
candle direction changes
candle body strength
CMF-based m flow changes
volume participation
The objective is to identify changes in market behavior intensity and observe when price movement characteristics begin to shift.
2. K MOMENTUM — Candle Momentum Measurement
K MOMENTUM evaluat the relationship between candle body strength and relative volume activity.
The calcula combines:
candle body efficiency
volume expansion
directional candle pressure
This creates a numerical representation of current movement strength based on candle behavior rather than only price distance.
3. K TIME TREND — Trend Structure Observation
K TIME TREND analyzes broader directional conditions through:
EMA relationship
price range expansion
candle strength
It also includes a trap index based on wick structure and candle efficiency to visualize situations where movement shows reduced confirmation.
4. FUND FLOW — Volume Flow Observation
FUND FLOW uses Chaikin Mon Flow (CMF) calculat to analyze the relationship between:
closing position inside candle range
volume participation
accumulation and distribution characteristics
It provides a view of volume-supported price activity.
5. K BEHAVIOR — Market Behavior Condition
K BEHAVIOR combines:
short-term momentum
medium-term momentum
acceleration changes
volume momentum
money flow condition
The goal is to measure consistency between different market measurements.
6. K LIQUIDITY PUSH — Movement Quality Analysis
K LIQUIDITY PUSH evalua whether strong candle movement is supported by:
body strength
volume expansion
wick structure
recent price expansion
It distinguishes different types of movement characteristics, including:
strong liquidity-supported movement
weak movement conditions
high-volume situations without efficient expansion
7. REAL K CONCENTRATION — Price Efficiency Measurement
REAL K CONCENTRATION measures candle efficiency by comparing:
current candle range
historical volatility conditions
recent price expansion
It helps visualize whether price activity is concentrated or dispersed.
Why PAE Is Different
Unlike traditional indicators that mainly answer one specific question, PAE combines several market behavior dimensions into one framework.
Instead of only measuring:
price direction
momentum level
volume change
PAE studies the relationship between:
how candles are formed
how pressure develops
how liquidity participates
how momentum changes
how efficiently price moves
Design Philosophy
PAE is built as a price behavior observation tool.
It does not provide finan advice, guaran outcomes, or future predictions.
The purpose of this indicator is to help users analyze the internal characteristics of market movement through a structured combination of candle analysis, liquidity measurement, and momentum observation. Indicatore
