Yield StrengthOANDA:NZDCHF Yield Strength — Bond Yield Spread Indicator Between Currencies
This indicator measures the relative strength of major currencies based on the yield differential (interest rates) of each country's government bonds, rather than price.
How it works:
Fetches the government bond yield (2Y, 5Y, or 10Y, selectable) for 8 economies: US, Eurozone, UK, Japan, Australia, New Zealand, Canada, and Switzerland.
Calculates the yield spread between the current chart pair (e.g., EURUSD = EUR yield − USD yield) and plots it alongside two EMAs (fast and slow) of that spread, signaling trend crossovers with a color change (green = bullish, red = bearish).
In parallel, calculates the yield spread for all 28 possible pairs among these 8 currencies and applies the same EMA-crossover logic to each.
Consolidates everything into a scoreboard in the corner of the screen: each currency gains or loses points depending on whether it's on the "strong" or "weak" side of the yield in each of the 28 pairs — producing a relative strength ranking of currencies based purely on implied monetary policy/interest rates, not price.
Why it's useful:
Yield differential is one of the main drivers of flow in forex (carry trade, rate expectations). This indicator translates that macro concept into a visual signal and an objective ranking, useful as a context/trend filter for swing trading, without relying on traditional price-based indicators.
How to use it:
Recommended timeframe: works best on higher timeframes — H1, H4, or D1. Since it's based on yield differentials (a slow-moving macro driver), it's not suited for scalping or very low timeframes, where price noise dominates and the interest-rate signal loses relevance.
Best used with the trend. Use it as a context filter, not a standalone entry trigger. When the spread and EMAs are aligned with the pair's price trend direction, it reinforces that the macro flow is "pushing" the pair in the same direction — giving more confidence to trade with that trend.
Scoreboard: use the strength ranking of the 8 currencies to spot "stretched" pairs (strong currency vs. weak currency) — usually the best candidates for trend-following entries backed by this macro driver.
Color crossovers (green/red) on the spread's EMAs signal a regime change — useful for confirming the yield trend is still active before entering, rather than already exhausted.
Technical: Pine Script v6. All 28 spreads are calculated locally from just 8 request.security calls (one per currency), working around TradingView's 40-security limit even while analyzing 28 pairs. Wskaźnik
Wskaźnik
Wskaźnik
The Island 4H MTFThe Indicator looks for a failed breakout on the 4H — what most people call a liquidity sweep or a stop run.The mechanic is deliberately simple. On each closed 4H candle it asks two questions:
Buy: Did this candle's low go below the previous candle's low, and did it then close back above that low? If yes, price probed below a level where stops were resting, failed to hold there, and buyers reclaimed the level before the candle closed. Green triangle below the bar.
Sell: Did this candle's high go above the previous candle's high, and did it close back below it? Sellers rejected the probe. Red triangle above the bar.
Everything is computed on the 4H series itself, so the signals are identical whether you're looking at a 5m, 15m, 1h or 4h chart. The lower timeframe just gives you a finer view of the same 4H events.
What actually matters when you take these entries
1. The signal tells you where, not whether. A sweep at a level nobody cares about is noise. A sweep of a prior day's low, a weekly open, a swing point that's been tested twice, a round number — that's a sweep with a reason. Before taking any triangle, ask what liquidity was actually taken. If you can't name the level, skip it. This is the single biggest filter and the indicator can't do it for you.
2. Direction bias. Buy sweeps taken against a strong 4H/daily downtrend get run over. The pattern works best when the sweep is against the immediate move but with the higher-timeframe direction — a fake breakdown inside an uptrend. Overlay a daily 50/200 EMA and be honest about which side you're on. I offered a built-in bias filter earlier; this is why it's worth adding.
3. Location within the range. Sweeps at the extremes of a multi-day range are meaningfully different from sweeps in the middle of one. Mid-range sweeps in chop will fire constantly and most will fail. If price has been going sideways for a week, expect a lot of triangles and a lot of losses.
4. The signal bar offset. With confirmed close on, the triangle prints at the open of the following 4H candle, not on the sweep candle. That's what makes it non-repainting — but it means the entry price you get is the next 4H open, which can gap away from the signal candle's close, especially on equities and at session boundaries. Decide in advance: are you entering at that open, or waiting for a pullback into the swept level?
5. Where your stop goes defines the trade. Natural invalidation is below the sweep wick's low (for a buy). If that wick is enormous, your stop is far and the position has to be small — the setup may be structurally valid but not worth taking on risk-to-reward alone. Check the wick size before you decide you like the signal.
6. Sweep depth and the reclaim quality. A deep wick with a strong close near the high is a violent rejection. A shallow poke with a close barely back inside is often just noise that happens to satisfy the rule. The close-location filter is the crude version of this judgement; your eyes are better.
7. Session boundaries. 4H candles align to the instrument's session. On equities and futures the 4H boundaries follow exchange hours, and the first bar after a session break behaves differently — overnight gaps can create "sweeps" that are just the gap, not participation.
8. News. A sweep driven by a scheduled release is a different animal from an organic one. CPI, FOMC, earnings — the wick is real but the follow-through is unpredictable. Know what's on the calendar.
9. Consecutive signals. In a strong trend you'll get repeated sweeps in the losing direction as price grinds. Three buy triangles in a row while price makes lower lows is not three opportunities, it's the market telling you the pattern isn't working right now.
Depending on what time frame you decide to use, careful with your risk management and not to make it too large or too close to your entries. You will experience downdraw on your entries. So please pay attention to volume and continuation confirmation on the momentum.
Happy Trading!!!! Wskaźnik
Wskaźnik
COT Commercial Hedger ExtremeIn commodities, the crowd and the smart money sit on opposite sides of the same report every week. The Commitment of Traders breaks open interest into commercials -- the producers, merchants and processors who hedge physical -- and large speculators, who are mostly trend-following money. The commercials are the ones who actually touch the barrel, the bushel, the bar. When they move to an extreme, it pays to listen.
The pattern that marks real commodity bottoms is simple to say and hard to wait for: commercial hedgers covering shorts en masse, from a multi-year net-short extreme, and curling back toward flat or net long. That is the producers deciding price has fallen far enough that they no longer need to hedge aggressively. It happened at the 2008 low, it happened into the 2018-19 lows, and I used this exact tell to call the September 2022 gold bottom near $1,640 in real time on TradingView. Gold peaked above $5,500 in January 2026, a move of more than 200% from that low.
This indicator puts that read on your chart.
The colored net line is the commercial position: red when they're at an extreme and still pressing shorts (no bottom), yellow when they start covering up off that extreme, green when they curl to flat or net long (the bottom tell). A triangle marks the first week they begin covering, a diamond marks the cross to net long. The blue line is large speculators for context -- they are usually heaviest long right as commercials are heaviest short, which is the whole point. Optional small-trader line too.
The dashboard shows commercial net, where it sits in its multi-year percentile, the spec and small-trader nets, and whether covering is underway. Alerts fire when hedgers start covering and when they flip toward net long.
Works on any futures with a CFTC code -- gold, silver, copper, oil, grains, even the index futures. Set the code in the settings to match the contract you're charting. Default is gold.
One read in isolation is a tell, not a trigger. I pair it with trend and price structure -- it tells you the tank is full of fuel, not that the match is lit. But when commercials cover their shorts, I want to know. Wskaźnik
Wskaźnik
Market Correlation Visualizer (Z-Score)Market Correlation Visualizer (Z-Score & % Var)
OVERVIEW
The Market Correlation Visualizer is a multi-asset analysis tool designed for intraday traders and quant analysts. Instead of relying on static correlation tables, this script plots real-time relative performance across up to 8 benchmark assets (Indices, Volatility, Commodities, Bonds, and Crypto) directly on your chart panel.
By standardizing assets through either Z-Score (Standard Deviations) or Percentage Change, you can instantly spot institutional imbalances, intermarket divergences, and statistical overextensions before they manifest on price action alone.
KEY FEATURES
Dual Engine Calculation:
Z-Score Normalization scales price movements based on rolling standard deviation. It identifies when an asset is statistically overbought/oversold relative to its peers.
Daily % Change Anchor normalizes performance from a customizable anchor time (e.g. Daily Open) to track pure percentage strength or weakness throughout the session.
Smart Right-Hand Labels:
Clean, dynamic labels automatically lock onto the right boundary of the indicator panel, displaying the ticker name and exact current reading. No need to memorize line colors.
Statistical Excess Zones (+/- 2.0 SD):
Visual upper and lower threshold bands immediately highlight extreme mean-reversion zones when using Z-Score mode.
Selective Visibility Filters:
Toggle up to 8 custom symbols on or off directly from the settings menu to keep your workspace uncluttered.
Error-Handled Security Fetching:
Built with robust fallback logic to ensure smooth performance across various brokers without breaking the chart panel if a specific ticker fails to load.
HOW TO USE FOR INTRADAY TRADING
Spotting SMT / Intermarket Divergences:
Watch key correlated pairs (e.g. ES vs NQ). If one index makes a new high while the visualizer line on the other fails to confirm, a liquidity sweep or SMT divergence is in play.
Mean-Reversion & Arbitrage:
When an asset crosses outside the +/- 2.0 Standard Deviation band while others remain neutral, it indicates an overextended asset prone to snapping back toward the zero-line.
Volatility Confirmation:
Track VIX against equity futures (ES, NQ). If ES hits a new low but the VIX line fails to push upward, the selling momentum lacks institutional backing.
DEFAULT TICKERS INCLUDED
Asset 1: TVC:VIX (Volatility)
Asset 2: CME_MINI:ES1! (S&P 500)
Asset 3: CME_MINI:NQ1! (Nasdaq 100)
Asset 4: COMEX:GC1! (Gold)
Assets 5 to 8 (Optional): NYMEX:CL1! (Crude Oil), CBOT:ZB1! (30Y Bonds), CME_MINI:RTY1! (Russell 2000), BINANCE:BTCUSDT (Bitcoin).
All inputs can be fully customized in the script settings. Wskaźnik
IB + OR Developing Lines DashboardIB + OR Dashboard
Plots the Opening Range and Initial Balance for the session, with quarter levels through the IB and a small table showing the size of each range in points.
The problem it solves
Most OR/IB scripts build their levels from chart bars, which breaks the moment your OR length doesn't divide evenly into your chart timeframe. A 15-minute Opening Range on a 2-minute chart is the obvious case: the bar that opens at 9:44 runs through 9:46, so the script either swallows an extra minute of price that isn't part of the range, or drops the last minute entirely. Either way the level you're trading off is wrong, and it doesn't print until 9:46 — a full minute after the range actually closed.
This one pulls lower-timeframe data and checks every sub-bar against the real cutoff timestamp. The straddling bar only contributes the part that belongs inside the window. The levels also lock the moment the cutoff passes instead of waiting for the chart bar to finish, so a 15-minute OR prints at 9:45 like it should.
If the intrabar resolution isn't lower than your chart timeframe, it falls back to chart-bar logic instead of erroring out. A "Source" row in the dashboard tells you which mode is running.
Settings
Session window and timezone
OR duration (default 15 min) and IB duration (default 60 min)
Intrabar resolution — 1 minute is enough for a 15-minute OR
Toggles for OR lines, IB lines, and IB quarter levels
Colors, widths, and line styles for each group
Dashboard position, or turn it off Wskaźnik
Crowd Pain Map [Underwater Volume & Trapped Zones]Crowd Pain Map
WHAT THIS PUBLICATION ADDS
Volume profile shows WHERE volume traded. VWAP shows the average price
of a period. Neither can answer the question this script is built
around: WHO IS IN LOSS RIGHT NOW, how much of them, and WHERE exactly
they are trapped. On-chain analytics answers it for Bitcoin with
cost-basis metrics (NUPL, URPD) - but only for BTC, only from external
chain data. This script computes the same class of answer for ANY
symbol and timeframe, from nothing but the chart's own price and
volume, and then - because a number without a track record is just an
opinion - keeps an honest forward-stats ledger on its own extremes.
THE POSITION MODEL (what makes this different from a volume profile)
Every confirmed bar deposits its volume at its typical price, as
positions opened there. Unlike a profile, deposits then live like real
positions live:
- they AGE OUT: an exponential half-life (default 200 bars) retires
old weight - most positions do not survive for months;
- they get EATEN by revisits: when price trades back through an entry
price, a configurable share (default 20%) of the remaining weight
exits - the break-even and churn exits every trader knows. A level
revisited many times has little crowd left at it.
The surviving distribution is a chart-native cost basis of the crowd.
A static profile has no aging, no churn and no notion of which side of
the current price its volume is on - it answers a different, simpler
question. That is the reason this is built as its own engine and not
as a profile add-on.
WHAT IS DERIVED FROM IT (three layers, one model)
1. PAIN INDEX (0-100): the share of surviving volume whose entry is
above the current close - the long side of the crowd that is
underwater right now. Follows the long-side convention of on-chain
cost-basis metrics; the short side is its mirror (100 - Pain).
Background heat shows it directly on the chart.
2. CROWD BREAK-EVEN: the volume-weighted average entry of the
surviving crowd, plotted as a line. It is not a VWAP: aging and
churn continuously re-shape it toward where the ACTIVE crowd
actually entered. Crosses of this line flip the average survivor
from red to green and back - both are alertable events.
3. TRAPPED ZONES: the largest surviving clusters above the price
(trapped longs - their break-even exit is overhead supply) and
below it (trapped shorts - their break-even exit is demand).
Support and resistance with a stated mechanical reason, sized by
the share of surviving volume they hold, consumed by retests like
real positions are.
THE HONESTY LAYER (measured, not promised)
Every time the Pain Index crosses into an extreme - above the
capitulation threshold (default 75) or below the euphoria threshold
(default 25) - the script records the close, waits a fixed forward
window (default 20 bars) and logs the move in ATR. The panel reports,
per side, the median forward move and the share of positive outcomes,
with the sample size always visible. So the claim "extreme pain gets
bought here" is never an assertion - it is a number measured on YOUR
symbol and timeframe, or an explicit "no events yet".
HOW TO USE
- Read the Pain Index like a crowd thermometer: high values mean the
average holder is losing (capitulation conditions - forced sellers
thin out, check what the forward stats say for your market); low
values mean nearly everyone is in profit (euphoria - distribution
risk). The thresholds are inputs; the panel's stats follow them.
- Trapped zones are reaction candidates with a reason: approaching a
large trapped-longs cluster from below means meeting sellers who
only want their money back. The zone labels show how much of the
surviving crowd is parked there.
- The crowd break-even line is the fairest "line in the sand" this
model can draw: above it the average survivor is winning, below it
losing. Price tends to negotiate it repeatedly - crosses are marked
and alertable.
- Six alertconditions cover extremes, break-even crosses and entries
into the top trapped zone of each side; alert() messages carry the
live numbers.
LIMITATIONS - READ BEFORE USING
- The model is stated, simple and parameter-dependent: one entry price
per bar (the intrabar entry distribution is unknowable from OHLCV),
volume treated as opened positions without long/short attribution,
exponential aging, fixed churn on revisits. Different half-life and
churn settings produce a different map - the defaults are printed in
the panel footer so every screenshot carries its assumptions.
- It needs volume data. On spot crypto and stocks volume is real; on
most forex feeds it is tick volume - a proxy, read it as such. On
symbols with no volume at all the panel says so and draws nothing.
- Zones and the panel describe the CURRENT surviving distribution and
update as the crowd evolves - that is their nature and it is stated
plainly. Events (extreme crossings, break-even crosses) and all
statistics resolve on confirmed bars only and never repaint.
- The forward stats are descriptive statistics of the loaded history,
not probabilities of the future and not a trading system. Past
behaviour does not guarantee future results. Decision-support tool,
not financial advice.
Open-source under MPL 2.0 - study, fork and improve it freely. Wskaźnik
Strategia
Mean Reversion Half-Life & Spread Tracker [OnlyFibonacci] v3.0Mean Reversion Half-Life & Spread Tracker v3.0
A statistical mean-reversion oscillator for spread analysis — Z-Score normalization, closure-time tracking, confirmed signals, target price projection, and a real-time dashboard. Built in Pine Script v6.
This indicator is for educational and analytical purposes only. It does not constitute investment advice, financial advice, or a trading recommendation. Past signal performance does not guarantee future results. Always do your own research and manage risk responsibly.
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What does this indicator do?
Mean Reversion Half-Life & Spread Tracker measures how far a price or spread has deviated from its statistical mean using a Z-Score oscillator . Beyond simple overbought/oversold readings, it tracks how long extreme deviations typically take to revert to zero, whether the current deviation is lasting longer than average, where price may revert if Z-Score returns to 0, and the historical success rate of confirmed signals.
Default mode: Asset vs Single Moving Average (Mean Reversion) — the chart symbol is normalized against a configurable SMA.
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Core Features
Two Operational Modes
Asset vs SMA (default): Analyzes Close / SMA ratio for single-asset mean reversion
Pair Trading : Analyzes chart symbol (Asset A) divided by a secondary symbol (Asset B)
Z-Score Engine
Spread Ratio = Close/SMA or Close/Asset B
Z-Score = (Ratio − Rolling Mean) / Rolling Standard Deviation
Default lookback: 200 bars
EMA(3) smoothing applied to raw Z-Score to reduce whipsaw noise
Threshold Levels
Upper threshold: +2.3 (statistical overbought zone)
Lower threshold: −2.3 (statistical oversold zone)
Center line: 0.0 (equilibrium / mean)
Mean Closure Time
Tracks the average number of bars required for Z-Score to return to 0 after breaching ±2.3
Displays active spread duration in real time
Triggers a Time-Stop WARNING when duration exceeds the historical average
Confirmed Signal Logic
BUY : Smoothed Z-Score crosses above −2.3 and holds beyond the threshold for at least 1 full confirmed bar close (bullish mean reversion)
SELL : Smoothed Z-Score crosses below +2.3 and holds beyond the threshold for at least 1 full confirmed bar close (bearish mean reversion)
EXIT : Z-Score reaches 0, time-stop is triggered, or duration exceeds 2× average closure time
Signal Win Rate (%)
Historical success rate of confirmed signals
Win: Z-Score returns to 0 before exceeding 2× average closure time
Loss: Timeout or time-stop triggered before mean reversion completes
Target Price Level
Estimated chart price where Z-Score would equal 0
MA mode: RatioMean × SMA
Pair mode: RatioMean × Asset B price
Optional dynamic dashed projection line on the main chart while a signal is active
Visual Design (v3.0)
Dynamic gradient Z-Score line (red above 0, green below 0, neon tones at extremes)
Gradient-filled area between Z-Score and the zero line
Soft background glow in extreme zones
Modern dark-theme dashboard table with live status indicators
Built-in Alerts
Upper / Lower Threshold Breach
Time-Stop Warning
Bullish Mean Reversion BUY
Bearish Mean Reversion SELL
Signal EXIT
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Dashboard Table
Live metrics displayed in the top-right corner:
Pair / Mode — active analysis configuration
Current Z-Score — real-time smoothed reading
Target Price Level — estimated Z=0 price
Avg Closure Time — historical mean reversion duration (bars)
Spread Duration — active deviation duration
Time-Stop Status — Normal or Warning
Signal Win Rate (%) — historical confirmed signal success rate
Status indicators: Normal, Active Trade, Warning.
---
How to Use
Add the indicator to your chart (separate oscillator pane).
In default Asset vs SMA mode, set the SMA length (default: 50).
For pair analysis, switch to Pair Trading mode and select Asset B.
Monitor the Z-Score panel:
Z > +2.3 → spread is statistically extended above mean (potential bearish mean reversion)
Z < −2.3 → spread is statistically extended below mean (potential bullish mean reversion)
Z ≈ 0 → statistical equilibrium
Compare Spread Duration against Avg Closure Time in the dashboard.
If Time-Stop shows WARNING, the deviation may be persisting longer than historically normal — review risk management.
Set alerts for threshold breaches, confirmed signals, and exits.
---
How to Interpret
Mean reversion concept : When price or spread reaches statistical extremes, it tends to revert toward its rolling mean over time.
Z-Score : Measures deviation in standard deviation units. ±2.3 represents a strong statistical extreme.
Avg Closure Time : How long past extreme deviations took to revert to zero. If current duration exceeds this, caution is warranted.
Target Price : A dynamic estimate of where price may revert if Z-Score normalizes — a reference level, not a guaranteed target.
Win Rate : A summary of past confirmed signal outcomes. Not a promise of future performance.
Gradient fill : Visually emphasizes the magnitude and direction of deviation from equilibrium.
Horizontal dashed line on the main chart (if enabled): Projects the estimated price level where Z-Score = 0 while a BUY or SELL signal is active. It updates dynamically and disappears on EXIT or target reached. Disable via Show Target Price Projection Line .
---
Recommended Use Cases
Single-asset mean reversion analysis vs SMA
Crypto, forex, and equity pair spread monitoring
Multi-timeframe confluence checks
Alert-based watchlist monitoring
Time-stop and duration-based risk awareness
---
Customizable Inputs
Mode, Asset B Symbol, MA Length
Z-Score Lookback (200), EMA Smoothing (3)
Upper/Lower Threshold (±2.3)
Signal Confirmation Bars (1–5)
Gradient Area Fill, Background Glow, Target Line, Dashboard
---
Important Notes
Non-repainting security calls: gaps_off, lookahead_off
This is an analysis tool — it does not execute trades automatically
Parameters may require optimization across different markets and timeframes
Win rate and closure time are based on historical data and may differ in live conditions
Always use proper position sizing and risk management
---
Keywords
Mean Reversion, Z-Score, Half-Life, Spread Tracker, Pair Trading, Statistical Arbitrage, Oscillator, SMA, Closure Time, Time-Stop, Pine Script v6, OnlyFibonacci
---
Developed with Pine Script v6. For analysis and education only. Wskaźnik
Wskaźnik
Wskaźnik
MACD Trend Phase MTF by [Itto Ryu]# MACD Trend Phase MTF by — User Manual (Publication Version)
---
## 1 · Purpose
This indicator answers one question: **"Where are we in the trend lifecycle?"** — not merely "has MACD crossed yet?"
A single MACD can only describe momentum state; it cannot describe trend *phase*, because phase emerges from the relationship between multiple timeframes. This script reads a PPO-normalized MACD across three time layers — a slow timeframe sets the regime, a mid timeframe defines the phase, and the chart timeframe tracks entry timing — then outputs an instantly readable phase name, a multi-timeframe dashboard, and a weighted consensus verdict (MAJOR).
Because everything is normalized to percentages, it works on any market and any symbol: index futures, stocks, crypto, or forex.
## 2 · Methodology
**Engine — PPO (Percentage Price Oscillator):**
```
PPO = (EMA(close,12) − EMA(close,26)) / EMA(close,26) × 100
Signal = EMA(PPO, 9)
Hist = PPO − Signal
```
PPO is used instead of raw MACD so thresholds stay constant across markets and across years (raw MACD is denominated in price units and cannot be compared across symbols).
**Phase state machine (computed on the Phase TF, default 4H):** each timeframe uses only three features:
1. **Regime** — PPO above/below zero
2. **Impulse** — PPO above/below its signal line
3. **Leg-peak memory** — is the latest impulse leg's PPO peak lower than the previous leg's peak? (structural momentum divergence)
Combined with the slow-TF regime, this yields 9 phases:
| Phase | Condition | Meaning |
|---|---|---|
| ESTABLISHED BULL | Slow bull + mid bull + impulse up | Fully aligned uptrend |
| BULL PULLBACK | Mid bull + impulse down + peaks not declining | Correction inside an uptrend — a classic continuation setup |
| WEAKENING BULL | Mid bull + impulse down + lower peaks | Late-stage uptrend — momentum thinning |
| EMERGING BULL | Mid bull but slow TF not yet bull | New trend, not yet confirmed |
| TRANSITION / CHOP | \|PPO\| < chop threshold | No phase — directionless market |
| (4 BEAR phases = mirror) | | BEAR RALLY = the mirror continuation setup |
**Anti-flicker:** the committed phase changes only after the new raw phase persists for N chart bars (default 2) — hysteresis prevents flickering.
**Timing signal:** when the phase is a pullback phase and the chart-TF histogram inflects back in the trend direction (`hist > hist ` after falling, or the mirror), a ▲/▼ triangle prints on the price chart. The idea: the higher timeframe defines *where* momentum entries make conceptual sense; the chart timeframe shows *when* the counter-move is fading.
**MAJOR consensus:** each grid TF scores its phase (Established ±1.0, Pullback ±0.75, Emerging ±0.5, Weakening ±0.25, Chop 0), weighted by timeframe (default 30m×1, 1H×1.5, 4H×2, D×3) → summed into a net % → |net| ≥ 20% = LONG/SHORT lean, ≥ 50% = strong. This is a structured way of reading multi-timeframe agreement at a glance — higher timeframes get louder votes.
## 3 · Defaults (Inputs)
| Input | Default | Rationale |
|---|---|---|
| Regime TF | D | Slowest layer; only its zero-line side is used |
| Phase TF | 240 (4H) | Phase-defining layer — roughly 4–6× the chart TF works well |
| Fast / Slow / Signal | 12 / 26 / 9 | Standard values, identical on every TF — deliberately untuned |
| Chop threshold | 0.10% | \|PPO\| below this = directionless market |
| Phase confirm bars | 2 | Hysteresis against phase flicker |
| Grid TFs | 30m / 1H / 4H / D | Dashboard rows |
| Weights | 1 / 1.5 / 2 / 3 | Higher timeframes get louder votes |
| Major bias / Strong | 20% / 50% | Verdict thresholds |
| Dashboard size | Middle | Tiny / Middle / Large |
All defaults are starting points, not optimized values — adjust them to your market and timeframe structure.
## 4 · Visual Elements
| Element | Meaning |
|---|---|
| Histogram columns (pane) | Chart-TF PPO − Signal; solid color = accelerating, faded = fading |
| Blue / orange lines (pane) | Chart-TF PPO / Signal |
| Pane background color | Current phase (green = bull family, red = bear family, orange = weakening, gray = chop) |
| ▲ / ▼ on the price chart | Timing markers — phase-gated momentum inflections |
| TF grid table | Phase per timeframe + ● dot in the L / S / H column |
| MAJOR row | Weighted consensus verdict + net % |
| Timing row | Timing status ("wait" / "TIMING NOW") |
| ⚠ row | Warns when chart TF ≥ Phase TF (view a lower TF, e.g. 1H) |
## 5 · Who This Is For / NOT For
**For:** traders studying trend-pullback structure who execute manually and use indicators as context filters; anyone who wants a one-glance answer to "is this market trending, correcting, weakening, or going nowhere?"
**NOT for:** scalpers far below the phase TF (higher-TF data updates too slowly to matter); anyone expecting a fully automatic buy/sell system (this is decision support, not a bot); extended sideways markets (it will mostly show CHOP — which is the correct reading: no trend phase exists).
## 6 · How to Use (Study Playbook)
1. Open the chart one or more steps **below the Phase TF** (e.g. 1H chart with a 4H phase TF).
2. Use the background color and phase label as context: trend-following ideas align with ESTABLISHED phases, continuation setups form during PULLBACK / RALLY phases, and WEAKENING or CHOP suggest standing aside.
3. Check the **MAJOR** row — study how often lower and higher timeframes agree before strong moves, and how disagreement resolves.
4. The ▲/▼ triangles mark where a counter-trend swing's momentum fades *while the higher timeframe still points with the trend* — the classic pullback-entry concept. Observe how these behave on your market before acting on any of them.
5. Momentum-inflection signals are, by nature, short-horizon events — they describe the next swing, not the next month. Re-evaluate whenever the phase changes.
6. Alerts: alert dialog → Condition = "MACD Phase" → choose "Phase changed", "Major bias changed", "Long timing" or "Short timing" → recommended trigger **Once per bar close**.
7. WEAKENING is best studied as a position-management state (momentum thinning), not a reversal signal.
## 7 · Common Mistakes
- ❌ Treating ESTABLISHED phases as entry signals — by the time everything is aligned, much of the move has often happened; the pullback phases are where continuation logic actually applies.
- ❌ Taking every triangle in both directions on every market — different markets have different structural drifts; study each side's behavior on your instrument first.
- ❌ Expecting momentum-inflection signals to define long swings — their information decays quickly.
- ❌ Viewing on a chart TF larger than the Phase TF (the ⚠ row will warn you).
- ❌ Reading MAJOR % as a probability — it is a weighted vote score (a structured prior), not a measured probability.
- ❌ Changing several inputs at once — you lose track of what actually changed the behavior.
## 8 · For Educational Purposes Only
This indicator is published **for educational purposes only**. It is a tool for studying how momentum, trend phase, and multi-timeframe structure interact — it is **not** a trading system, does not generate financial advice, and makes **no claim of profitability**. No performance figures are stated or implied; past behavior of any signal, on any market, does not guarantee future results. Before risking real capital on any concept illustrated here, do your own testing on your own market, timeframe, and cost structure, and consult a licensed financial professional where appropriate. You alone are responsible for your trading decisions.
## 9 · Disclosure Block
- **Pine version:** v6
- **Repaint:** NO on closed bars — every HTF value uses only fully closed bars (`security(expr , lookahead_on)` idiom); historical bars are never redrawn. Note: current-bar table values and signals update until the bar closes — use alerts set to "Once per bar close".
- **Chart type:** standard candles only (no Heikin Ashi / Renko / Range — synthetic prices distort PPO).
- **Originality:** fully original code — the phase state machine, leg-peak memory, and weighted MTF consensus were written from scratch, not adapted from any open-source script.
- **This indicator is create for educational purposes only — not investment advice or recommendation or professional advice, you are on your own risk **
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Wskaźnik
Market Internals Status: TICK / ADD / VOLDThis indicator displays a real-time status table for three classic NYSE/Nasdaq
market-breadth internals: USI:TICK , USI:ADD (advance/decline issues, Nasdaq variant
by default) and USI:VOLD (up/down volume difference). It is designed for index
futures and index CFD traders (ES, MES, SPX, NQ, etc.) who use market
internals to confirm directional bias before entering a trade.
METHODOLOGY
Each internal is classified using a fixed absolute-level threshold you control
from the settings: a reading above the "bullish" threshold is tagged BULLISH,
below the "bearish" threshold is tagged BEARISH, and anything in between is
NEUTRAL. This is a simple level-based read, not a moving average, oscillator,
or percentile rank — the goal is to mirror how discretionary traders read raw
internals on a dedicated internals chart, but with an objective, repeatable
rule instead of a visual guess.
A CONSENSUS row aggregates the three readings: it shows "aligned bullish" or
"aligned bearish" only when at least two of the three internals agree in the
same direction past their threshold; otherwise it shows "mixed/flat",
flagging a session where internals do not confirm a clean directional bias.
DATA VALIDATION
Market-internal data feeds occasionally emit corrupted or placeholder values
when the underlying index has no valid tick (e.g., outside NYSE/Nasdaq
cash-session hours). The script validates every reading against a
configurable sanity ceiling per internal. A reading outside that realistic
range is treated as invalid and shown as N/A instead of being misclassified
as bullish or bearish, and it is excluded from the consensus calculation.
SESSION AWARENESS
USI:TICK , USI:ADD and USI:VOLD are breadth measures of the NYSE/Nasdaq cash equity
market and therefore only update during the 09:30–16:00 America/New_York
session. A SESSION row tells you at a glance whether the reading is live or
frozen from the prior session close — important context if you trade an
instrument (like index futures) that keeps trading outside cash-market hours.
HOW TO USE IT
Add the indicator to any chart — it does not need to be an internals chart
itself, it fetches its own data via request.security(). Open the settings to:
(1) pick the exact ticker for each internal your data plan provides, since
exchange-composite symbol naming can vary; (2) set your own bullish/bearish
thresholds; (3) adjust the sanity ceilings if you trade an internal with an
unusually wide typical range. Use the resulting table as a breadth
confirmation filter alongside your own price/volume-based setup — it is not
a standalone entry signal. Wskaźnik
Forex Liquidity Map [invincible3]b]Forex Liquidity Glow Map
The Forex Liquidity Glow Map is a visual currency-rotation dashboard designed to estimate where relative strength and trading activity are moving across the major Forex market.
The indicator analyzes all 28 unique currency pairs formed from:
USD, EUR, GBP, JPY, CHF, CAD, AUD, and NZD
Instead of evaluating one pair in isolation, it combines information from every relationship connected to each currency. This produces an aggregated flow score for all eight currencies and helps identify the strongest and weakest areas of the Forex market.
Calculation Model
Each Forex pair is evaluated using:
• ATR-normalized price momentum
• Relative tick-volume activity
• Fast-versus-slow trend structure
• Volatility expansion
• Directional breadth
• Score smoothing
• Flow acceleration
A positive pair score strengthens the base currency and weakens the quote currency. A negative pair score strengthens the quote currency and weakens the base currency.
Each currency’s final score is calculated from its seven connected pair relationships.
Because spot Forex is decentralized, the indicator uses TradingView broker-feed tick volume as an activity proxy. It does not represent centralized institutional order flow.
Forex Liquidity Map
The circular map displays the eight major currencies as nodes.
• Node value: Aggregated currency-flow score
• Node size: Average relative activity across connected pairs
• River direction: Weaker currency toward stronger currency
• River width: Estimated strength of liquidity rotation
• River color: Leading currency in that relationship
• Arrow: Direction of relative capital rotation
A positive score indicates relative strength or estimated inflow. A negative score indicates relative weakness or estimated outflow.
Water Flow Matrix
The scatter matrix shows each currency according to:
• Horizontal position: Current flow score
• Vertical position: Flow acceleration
• Bubble size: Relative pair activity
• Bubble color: Currency identity
The four matrix conditions are:
• Accelerating inflow: Positive flow with positive acceleration
• Weakening inflow: Positive flow with negative acceleration
• Accelerating outflow: Negative flow with negative acceleration
• Weakening outflow: Negative flow with positive acceleration
This helps distinguish a currency that is merely strong from one whose strength is actively increasing.
Dashboard and Pair Ranking
The dashboard includes:
• Currency strength ranking
• Current flow score
• Relative tick activity
• Momentum condition
• Inflow, outflow, or balanced status
• Ranked breakdown of all 28 Forex pairs
• Strongest and weakest currencies
• Best relative-strength pair
• Market confirmation percentage
• Current Forex-rotation regime
For example, when GBP is the strongest currency and AUD is the weakest, the dashboard may identify GBPAUD as the primary relative-strength opportunity.
Update Modes
Confirmed bars only uses completed calculation-timeframe candles. The rivers, matrix, rankings, and signals remain fixed while the current candle is forming.
Live uses the active candle and updates as price and tick volume change. This provides faster information but may change before candle close.
Confirmed mode is recommended for stable analysis and alerts. Live mode is intended for intrabar monitoring.
Display Features
• Responsive bar-index geometry
• Stable layout across intraday and higher timeframes
• Dark and Bright theme presets
• Fully opaque dashboard cells
• High-contrast currency colors
• Adjustable map and matrix dimensions
• Adjustable river threshold
• Optional arrows, glow, tooltips, tables, and signals
• Configurable TradingView Forex-feed prefix
Interpretation
The indicator is most useful for:
• Finding strongest-versus-weakest currency combinations
• Confirming directional pair setups
• Monitoring broad Forex rotation
• Detecting strengthening or weakening flows
• Avoiding pairs where both currencies have similar strength
• Comparing pair-level movement with broader currency-level confirmation
The output should be used as a market-structure and relative-strength tool , not as a standalone entry system.
Execution decisions should also consider price structure, volatility, liquidity conditions, risk management, and scheduled economic events. Wskaźnik
Adaptive SuperTrend AI - Regime-Tuned [Dots3Red]📈 ADAPTIVE SUPERTREND AI — REGIME-TUNED
Classic SuperTrend uses one fixed ATR multiplier forever. That single number is a compromise: tight enough to track trends closely, it whipsaws during ranges; wide enough to survive ranges, it lags badly once a real trend starts. This script replaces the fixed multiplier with one that changes based on what kind of market is actually happening, using the same regime-detection engine shared across the Dots3Red catalog.
🧠 THE REGIME ENGINE
Every bar is classified into one of four states using ADX and the Choppiness Index together:
• 📈 TRENDING — ADX confirms directional strength and Choppiness confirms low chop
• 🔁 RANGING — the opposite: weak directional strength, high chop
• ⚡ VOLATILE — current ATR has expanded well beyond its baseline, regardless of direction or chop
• ❔ UNCERTAIN — none of the above conditions are clearly met
The raw regime reading is smoothed by taking the most frequent classification over a short lookback window, so a single noisy bar can't flip the regime label back and forth.
🤔 WHY RANGING GETS THE WIDEST BAND, NOT TRENDING
This is the part that looks backwards at first glance, so it's worth explaining directly. A ranging market chops back and forth around a mean — if the band were narrow here, ordinary noise would cross it constantly, causing false flips. So RANGING gets the widest multiplier (default 3.5×), letting normal chop stay inside the band. A TRENDING market is moving with genuine conviction, so a moderate multiplier (default 2.5×) tracks the move closely without giving back excessive profit before flipping on an actual reversal. VOLATILE conditions get the widest multiplier of all (default 4.5×) as a purely defensive setting, since sudden expansion is unpredictable by nature.
When the regime changes, the active multiplier doesn't jump to its new value instantly — it glides toward it over a configurable number of bars. This prevents the band from visibly teleporting on a regime transition, which would otherwise look jarring and could itself trigger a false flip right at the transition point.
The underlying band mechanics — the ratcheting upper/lower band logic, and a flip only when price closes beyond the active band — are the same as classic SuperTrend. Only the multiplier driving the band width is dynamic.
✅ THE CONFIDENCE LAYER
A SuperTrend flip is a single binary event: price crossed the band, direction changed. This script adds a secondary read on how convincing that flip actually is, using 8 independent checks against the new direction:
1. Close vs. a trend moving average
2. MACD histogram sign
3. Recent higher-high / lower-low structure
4. Close vs. the SuperTrend's own midline (hl2)
5. RSI side of 50
6. +DI vs. -DI dominance
7. Volume above its moving average on a trend-direction bar
8. Whether the regime is currently TRENDING
Every confirmed flip shows this count directly on its label — "▲ 6/8" means 6 of the 8 checks currently agree with the new uptrend. A flip with 7/8 agreement and one with 3/8 are treated identically by the raw band mechanics, but this layer gives a way to distinguish a well-supported flip from a marginal one at a glance.
🎯 FLIP WIN-RATE TRACKING
Each flip is graded once the following flip occurs: did price actually finish above the flip price (for an up-flip) or below it (for a down-flip) by the time direction changed again? This produces a running win rate — for example "58% (n=34)" — shown in the dashboard. It is a simple, honest measure of how the flips on this specific chart have actually played out, not a backtest or a promise about future flips.
🔒 NON-REPAINTING
Flips, confidence readings, and labels are all evaluated only on confirmed (closed) bars. A flip that appears on the chart will not later disappear or move to a different bar as new price data arrives.
🎨 VISUALS AND CUSTOMIZATION
The SuperTrend line and gradient fill are colored by current direction. Flip labels appear directly on confirmed flip bars with their confidence count. An optional background tint can shade the chart by current regime. All four core colors (bullish, bearish, volatile/warning, and uncertain/neutral) are fully customizable in settings, independent of the script's default palette.
The dashboard (position configurable) shows: current direction, current regime, the active ATR multiplier, the confidence count with a progress bar, the running flip win rate, and the raw ADX, Choppiness, and ATR ratio readings behind the regime classification.
🧭 HOW TO USE
👀 Reading the line and fill — the colored line and gradient fill show current direction at a glance. This is the same information classic SuperTrend gives you; the difference here is in how the band width behind that line was chosen.
🧠 Check the regime before trusting the band width — the dashboard's Regime row tells you why the band is currently as wide (or narrow) as it is. A band that looks unusually wide isn't a bug — it likely means the engine has classified the market as RANGING or VOLATILE and widened defensively. Knowing the current regime helps set expectations for how the band will behave if conditions stay the same.
✅ Use the confidence count to gauge flip quality, not to filter flips — every flip is real and non-repainting regardless of its confidence count. The count is a lens for judging how broadly supported a given flip is, not a gate that decides whether one occurs. A "▲ 7/8" flip and a "▲ 3/8" flip both mean the band was crossed; the number tells you how much independent agreement existed at that moment, which is useful context when deciding how much weight to put on that particular signal versus your own analysis.
🎯 Watch the flip win rate as a running self-check on this chart — because it only starts once flips have accumulated and been graded, treat an early or low-sample win rate as inconclusive rather than a verdict. It becomes more informative the longer the script runs on a given symbol and timeframe.
🔔 Regime changes are themselves informative — the alert for a regime change fires independently of any flip. A shift from RANGING to TRENDING, for example, can be useful context on its own, since it signals the band is about to glide toward a different multiplier even before any flip occurs.
🚫 This script describes band behavior, not entries or exits — it does not tell you when to open or close a position. Use it as one input alongside price action, structure, and whatever other analysis you already rely on.
⚙️ SETTINGS
📈 SuperTrend Core
• ATR Length
• Factor — Trending / Ranging / Volatile / Uncertain — the four regime-driven multipliers
• Factor Transition (bars) — how gradually the multiplier glides between regimes
🧠 Regime Engine
• ADX Length, Choppiness Length, ATR Baseline Period
• Trending / Ranging Thresholds — where the combined ADX+Choppiness score is classified
• Volatile ATR Multiple — how far above baseline ATR counts as volatility expansion
• Regime Smoothing — lookback window for the majority-vote smoothing
✅ Confidence Layer
• Trend MA Length, RSI Length, Structure Lookback — parameters for the 8 confidence checks
🎨 Visualization
• Gradient Fill, Flip Labels, Regime Background Tint — each toggleable independently
• Full color customization for all four regime/direction colors
🖥️ Dashboard
• Show/hide, position
📝 NOTES
The regime engine needs a short warm-up period before its smoothing window is fully populated; early bars on a fresh chart may show less stable regime labels than bars further along. The flip win rate starts empty and only becomes meaningful after several flips have occurred and been graded.
⚠️ DISCLAIMER
This is an analytical and visualization tool. It does not generate trade signals and does not constitute financial advice. Historical flip win rate does not guarantee future performance. Wskaźnik
Wskaźnik
Wskaźnik
Volume Bubble DeltaVolume Bubble Delta
Short description (for the publish box summary)
Volume delta bubbles that anchor to each bar's Point of Control, scale with the size of the imbalance, and automatically thin out as you zoom out. Uses TradingView's native footprint data when available, with a lower-timeframe fallback for all plans.
Full description
What it does
This indicator answers one question on every bar: who was actually in control, buyers or sellers?
It plots a bubble on the chart whose colour tells you which side won the bar, whose size tells you how one-sided it was compared to recent bars, and whose number tells you the raw delta. Green means aggressive buyers dominated; red means aggressive sellers dominated.
The point of bubbles rather than a separate delta pane is that you read the imbalance in the same place you read price — no eye-travel between panes.
How the delta is calculated
The script runs two engines and picks the best one available:
Engine 1 — Native footprint (Premium / Ultimate plans) Calls request.footprint() to retrieve real order flow for the bar: exact ask-side (buy) volume, bid-side (sell) volume, delta, and the bar's Point of Control. This is true aggressor data, not an approximation.
Engine 2 — Lower-timeframe estimate (all plans) When footprint data isn't available, the script pulls intrabar candles via request.security_lower_tf() and classifies each one: closing up counts as buy volume, closing down as sell volume, and a flat intrabar is resolved against the previous intrabar close. If lower-timeframe data is also unavailable, it falls back to a wick-position proxy.
The control panel always shows which engine is live, so you know whether you're reading real delta or an estimate. This distinction matters — the estimate infers aggression from candle direction and will diverge from true footprint delta in fast or thin conditions.
Bubble placement
By default bubbles anchor to the bar's Point of Control — the price level where the most volume traded inside that bar. This puts the bubble where the activity actually happened rather than floating above or below the candle, so a bubble sitting high in a bar's range tells you something different from one sitting at the low. When footprint data isn't available, bubbles fall back to the body midpoint. Alternative positions (body mid, close, above/below) are available in settings.
Zoom-adaptive density
Most bubble indicators become unreadable when you zoom out — hundreds of overlapping circles. This one reads the visible chart range, works out how many bars are on screen, and raises its threshold accordingly.
Zoomed in, small imbalances appear. Zoomed out, only the heavyweight prints survive, with wider minimum spacing between them. You set a target number of bubbles you want on screen and the script maintains roughly that density at any zoom level.
Because this reads the visible range, the script recalculates when you zoom or pan. If you prefer a fixed threshold, the behaviour can be switched off.
Absorption detection
The setups worth watching are the ones where delta and price disagree:
Green bubble on a red candle — price closed down, but aggressive buyers dominated the bar. Sellers pushed and buyers absorbed it.
Red bubble on a green candle — price closed up on aggressive selling.
These bars get tinted, always print a bubble regardless of the zoom filter, and have dedicated alerts. Divergence between delta and price direction is often read as the underlying pressure weakening relative to the visible move — though like any signal it fails regularly and means nothing in isolation.
Settings
Delta engine — force native footprint, force the estimate, or let it auto-select. Footprint row size and value area % are configurable.
What to show — every bar, significant bars only, or divergences only. Threshold is a multiple of the rolling average absolute delta, so it adapts to the instrument automatically.
Bubble look — three colour schemes, size scaling on/off, opacity, position.
Zoom behaviour — target bubble count and how aggressively to thin.
Extras — absorption tinting, ▲▼ markers, per-bar POC lines, control panel position.
Control panel
Top-right by default: who's in control, bar delta with percentage, buy and sell volume, session cumulative delta, and the active data source. Numbers abbreviate to K/M/B so the panel stays compact.
Alerts
Buyers absorbing a red candle
Sellers absorbing a green candle
Session cumulative delta crossing above or below zero
Notes and limitations
request.footprint() requires a Premium or Ultimate plan. On lower tiers, comment out the block marked NATIVE FOOTPRINT in the source and set the delta source to "Lower TF estimate".
Seconds-based lower timeframes need a paid plan. On free plans use 1 minute, which means the estimate works best on 5m charts and above.
Pine labels have five discrete size steps, so bubbles grow in stages rather than continuously.
The rolling average needs roughly 20 bars to settle before the significance filter behaves sensibly.
Volume delta describes what already happened in a bar. It is not predictive on its own, and this indicator is a visualisation tool rather than a trading system. Nothing here is financial advice.
Suggested starting point
30m chart, "Significant only" mode, target 20 bubbles on screen. Watch what the bubbles do at prior POC, VAH and VAL levels — imbalance at a level you already care about is more informative than imbalance in the middle of nowhere. Wskaźnik
Volume DNA: Heatmap [BigBeluga]🔵 OVERVIEW
The Volume DNA: Heatmap is an advanced technical indicator created by BigBeluga to decode institutional volume and price action dynamics using market microstructure principles. Traditional volume indicators often look at volume in isolation, failing to account for the efficiency or inefficiency of price movement. In order to provide a solution to this problem, this indicator combines rolling volume Z-scores with high-low price spread Z-scores, classifying every single bar into distinct institutional signatures—such as Absorption, Effort, Exhaustion, and Stagnation.
The indicator aims to visualize institutional accumulation, distribution, and exhaustion points directly on the chart. The core element of its calculation involves tracking volume and spread deviations against rolling means defined as:
volZ = (volume - volMean) / volStd
spreadZ = (spread - spreadMean) / spreadStd
where volMean and spreadMean are moving averages over lookback lengths volLengthInput and spreadLengthInput , and volStd and spreadStd represent standard deviations. Higher values of volThreshInput and spreadThreshInput allow the indicator to filter out random market noise and isolate major institutional footprints.
🔵 FEATURES
The system utilizes a multi-layered matrix structure to provide actionable market intelligence:
1 — DNA Engine & Classification Matrix
Absorption ( ABS ): Triggered by high volume and narrow spread via highVol and narrowSpread , signaling institutional limit orders absorbing market flow.
Effort Bullish / Bearish ( EFF+ / EFF- ): Triggered by high volume and wide spread via highVol and wideSpread , signaling aggressive buying or selling pressure driving trend continuation.
Exhaustion ( EXH ) & Stagnation ( STG ): Tracks low volume relative to price spreads to identify thin liquidity moves or equilibrium consolidation phases.
2 — Visual Enhancements & Ghost Glows
Ghost Glow Effect: Renders a semi-transparent wider candle behind classified DNA bars using plotcandle(showGlowBar ? bodymax + glowExpand : na, ...) to visually distinguish key events from normal price action.
Liquidity Clouds: Draws transparent box zones over Absorption bars extending cloudExtendInput bars to the right, marking where institutional limit orders may be resting.
3 — Real-Time Barcode Tape & Statistics Tables
DNA Barcode Tape: Displays a vertical heatmap table on the chart showing the DNA type and volume of the last tapeRowsInput bars as a real-time institutional activity tape.
Stats Panel Table: Summarizes current bar status, Volume Z-Scores via str.tostring(volZ, "#.##") , and Spread Z-Scores for instant quantitative feedback.
🔵 HOW TO USE
Apart from the basic visualization of institutional volume signatures, this tool can also act in alternative ways to support decision-making:
Spot Institutional Absorption: Look for ABS candles and their accompanying Liquidity Cloud zones to identify potential support or resistance levels where large market participants are absorbing flow.
Ride Trend Continuations via Effort: Monitor EFF+ and EFF- signal shapes (where size and color intensity scale with volume Z-scores) to confirm aggressive momentum driving price in the direction of the breakout.
Anticipate Reversals with Exhaustion: Watch for EXH signals where price moves on thin liquidity, signaling that a current trend may be running out of fuel and nearing a pullback or reversal.
🔵 NOTES
Why this implementation is unique:
It merges volume and price spread analytics using statistical Z-scores rather than arbitrary thresholds, offering an objective look at market efficiency.
The multi-table interface provides both historical sequencing (Barcode Tape) and real-time metric tracking without crowding the main price action view.
The script is fully optimized for Pine Script version 6, utilizing high-performance array management (`var array dnaHistory = array.new(tapeRowsInput, 0)`) for smooth execution across extensive historical data.
Note: The indicator relies on rolling standard deviation calculations; initial chart loads require enough bars to populate the lookback window accurately.
Wskaźnik
APEX v14 CLEAN - MNQ/MESNITRO V15 amazing bot just try it out is an advanced AI-powered trading assistant built for precision, discipline, and consistency. Designed around smart money concepts, liquidity analysis, and market structure, it identifies high-probability trading opportunities while filtering out low-quality setups. By combining multiple layers of confluence—including liquidity sweeps, order blocks, fair value gaps (FVGs), optimal trade entries (OTE), trend strength, volatility, and higher-timeframe confirmation—BRABUZ helps traders make confident, data-driven decisions with a strong focus on risk management and capital preservation.
Rather than generating constant signals, BRABUZ is engineered to prioritize quality over quantity, waiting patiently for A+ setups with the highest statistical edge. It continuously adapts to changing market conditions, providing clear trade entries, stop-loss placement, profit targets, and real-time market bias in a clean, easy-to-read interface. Whether you're a prop firm trader, futures trader, or experienced retail trader, BRABUZ is designed to eliminate emotional decision-making, improve consistency, and give you a professional-grade trading edge. is an advanced AI-powered trading assistant built for precision, discipline, and consistency. Designed around smart money concepts, liquidity analysis, and market structure, it identifies high-probability trading opportunities while filtering out low-quality setups. By combining multiple layers of confluence—including liquidity sweeps, order blocks, fair value gaps (FVGs), optimal trade entries (OTE), trend strength, volatility, and higher-timeframe confirmation—BRABUZ helps traders make confident, data-driven decisions with a strong focus on risk management and capital preservation.
Rather than generating constant signals, BRABUZ is engineered to prioritize quality over quantity, waiting patiently for A+ setups with the highest statistical edge. It continuously adapts to changing market conditions, providing clear trade entries, stop-loss placement, profit targets, and real-time market bias in a clean, easy-to-read interface. Whether you're a prop firm trader, futures trader, or experienced retail trader, BRABUZ is designed to eliminate emotional decision-making, improve consistency, and give you a professional-grade trading edge. Wskaźnik
