PING - Regime & Style Fit [Technical-Trades]Every chart timeframe implies a trading style — sub-5-minute charts are scalping territory, 5m–1h is intraday, roughly 2h–daily is swing, weekly and above is position trading — and every market phase treats those styles differently. Many losing streaks are not bad entries; they are a style/conditions mismatch: scalping chop, swing-trading a dead base, fading a tape that is trending.
PING answers one question about whatever chart you have open: do current conditions fit the style this timeframe belongs to?
WHAT THE HUD SHOWS
- Timeframe · style band — which of the four style bands your chart timeframe belongs to (SCALP under 5m · DAY 5m–1h · SWING ~2h–1D · POSITION 1W and above; in-between timeframes round to the nearest class).
- Regime — one of four coarse market characters on this chart timeframe: TREND ↑, TREND ↓, RANGE, or VOL CHOP.
- Character — the two raw measurements behind the call: the Aroon oscillator (−100…+100) and how wide the recent high-low span is versus its own baseline (×).
- Fit — ● FAVORABLE, ◐ MIXED / STAND-BY, or ○ CAUTION for this timeframe's style, plus a one-line read explaining why. A quiet range with an unusually narrow span is additionally tagged coiled — compression that often precedes expansion.
An optional background tint and bar coloring paint the regime directly on the chart.
HOW IT WORKS (THE WHOLE ENGINE, NOTHING HIDDEN)
Two commodity measurements, both read from nothing but the rolling price extremes, computed on the chart timeframe only:
1. Trend + side — the Aroon oscillator (length 25, the indicator's original default, lightly smoothed with a 3-bar average): how recently the 25-bar high was made versus the 25-bar low, on a −100…+100 scale. Fresh highs with stale lows read strongly positive (uptrend); the reverse reads strongly negative. At or above ±70 — the conventional strong-trend line — the tape is called directional, and the sign picks the side.
2. Volatility — the high-low span of the last 40 bars as a percent of price, compared to its own 150-bar average, so "wide" and "narrow" are always relative to this market on this timeframe.
Regime resolution: oscillator magnitude at or above the threshold = trending. Not trending with the span at or above 1.6× its baseline = VOL CHOP (large, directionless swings). Everything else = RANGE, tagged coiled when the span sits at or below 0.5× — half its normal width, compression that often precedes expansion. All thresholds are inputs.
WHAT PING DELIBERATELY DOES NOT DO
No entries, no exits, no levels, no arrows, and no higher-timeframe requests — there is not a single request.security() call in the code. It diagnoses conditions; what you do with that is your process.
HONEST LIMITATIONS
The engine has no hysteresis and no state memory beyond the 3-bar smooth, so bars near a threshold can flip the read back and forth — the cost of keeping the math this simple and fully inspectable. Early chart history defaults to RANGE until the 150-bar span baseline warms up; that is expected, not a bug. The HUD updates on the developing bar like any indicator.
ALERTS (recommend "Once per bar close"; conditions are additionally gated to confirmed bars in code)
- Regime changed
- Fit turned FAVORABLE
- Fit turned CAUTION
Works on any symbol and any timeframe. Educational tool — not financial advice and not a signal service. Indicator
Market State Forecast Projection EngineThis indicator is a **forecast projection tool**. It looks at the current market environment, searches history for the most similar environments, then plots what usually happened afterward. It is not trying to predict the future with certainty. It is saying: “When the market looked like this before, what tended to happen next?”
The engine defines the current market environment using three things:
* **Trend**, based on moving averages.
* **Momentum**, based on RSI.
* **Volatility**, based on ATR.
Then it finds the closest historical matches, studies their future paths, and draws a forecast line with optional upper and lower bands.
---
## What You See on the Chart
### Forecast Midline
The main forecast line shows the **average path** of the selected historical matches.
In simple terms:
* If similar past situations usually moved higher, the line slopes up.
* If similar past situations usually moved lower, the line slopes down.
* If similar past situations were mixed, the line may be flat or choppy.
### Upper Band
The upper band shows the stronger side of historical outcomes.
It means:
* Some similar historical setups moved better than the average.
* The upper band gives you a visual idea of the upside range from those past examples.
* It is not a guaranteed target.
### Lower Band
The lower band shows the weaker side of historical outcomes.
It means:
* Some similar historical setups moved worse than the average.
* The lower band gives you a visual idea of downside risk from those past examples.
* It is not a guaranteed support level.
### Band Width
The space between the bands matters.
* Tight bands mean historical outcomes were more consistent.
* Wide bands mean historical outcomes were scattered and less reliable.
* A forecast with wide bands should be treated with more caution.
---
## Main Inputs
### Non-Repaint Mode
**Default: On**
This controls whether the forecast uses the live candle or the last completed candle.
Use **Non-Repaint Mode On** when:
* You want more stable signals.
* You want the forecast to update only after the candle closes.
* You care about cleaner historical testing.
Use **Non-Repaint Mode Off** when:
* You want the forecast to react during the current live candle.
* You accept that the forecast may change before the candle closes.
For most use cases, leave this **On**.
---
## Model Group
### Forecast Horizon
This controls how far into the future the indicator projects.
Example:
* On a daily chart, `20` means 20 trading days.
* On a 1-hour chart, `20` means 20 hours.
* On a 5-minute chart, `20` means 20 five-minute candles.
Use a lower value when:
* You are trading short-term moves.
* You want a tighter forecast window.
* You do not want the projection stretched too far.
Use a higher value when:
* You are looking for swing-trade context.
* You want to see the broader projected path.
* You are using higher timeframes.
A practical range is usually:
* `10–20` for shorter-term analysis.
* `20–50` for swing-style analysis.
---
### Search Depth
This controls how much history the engine searches.
Example:
* `1000` means the engine searches roughly 1,000 prior bars.
* `2000` means it searches more history.
* `500` means it searches less history.
Use a higher Search Depth when:
* You want a larger historical sample.
* You are on a short timeframe with lots of bars.
* You want more possible market-state comparisons.
Use a lower Search Depth when:
* You want the model to focus on more recent market behavior.
* You are on a slower chart like daily or weekly.
* You want less influence from older market regimes.
The tradeoff is simple:
* More history gives more examples.
* Less history may be more relevant to the current market regime.
---
### Pattern Matches
This controls how many of the closest historical matches are used.
This is one of the most important inputs.
If set to `30`, the engine finds the **30 closest historical market states** and builds the forecast from those.
Use fewer matches when:
* You want stricter, more specific comparisons.
* You want only the closest historical examples.
* You are okay with a forecast that may be more reactive.
Use more matches when:
* You want a smoother forecast.
* You want less noise from individual examples.
* You want a broader historical sample.
General interpretation:
* `10–20` = stricter, more selective.
* `25–40` = balanced.
* `50+` = broader, smoother, but less specific.
---
### Weight Closer Matches
This controls whether the best matches receive more influence.
When turned **On**:
* The closest historical matches matter more.
* Weaker matches still count, but less heavily.
* The forecast becomes more focused on the most similar examples.
When turned **Off**:
* Every selected match is treated equally.
* The forecast becomes more democratic.
* A very close match and a weaker match have the same influence.
For most users, leave this **On**.
---
## Advanced Model Inputs
### Forecast Model
This chooses how the engine defines the market environment.
All models use:
* EMA trend.
* RSI momentum.
* ATR volatility.
The difference is how each model emphasizes those ingredients.
---
### Conservative
Use **Conservative** when you want a slower, smoother model.
It is designed to:
* React less aggressively.
* Favor more stable market environments.
* Put more importance on trend and volatility.
* Reduce noisy forecast changes.
Best for:
* Daily charts.
* Swing trading.
* Slower-moving stocks or ETFs.
* Users who want fewer false shifts.
---
### Balanced
Use **Balanced** as the general-purpose default.
It is designed to:
* Give trend, momentum, and volatility a normal balance.
* Work across many markets.
* Avoid being too slow or too fast.
Best for:
* Most users.
* Most chart timeframes.
* General market forecasting.
* Starting point before testing other models.
---
### Aggressive
Use **Aggressive** when you want a faster model.
It is designed to:
* React more quickly to changing momentum.
* Give more influence to short-term market shifts.
* Be more sensitive to fresh moves.
Best for:
* Intraday trading.
* Fast-moving markets.
* Crypto.
* Momentum names.
* Traders who want earlier, more responsive shifts.
The downside is that it may be noisier.
---
### Trend Following
Use **Trend Following** when you want the model to emphasize persistent directional moves.
It is designed to:
* Care more about trend structure.
* Care less about short-term momentum noise.
* Favor markets that continue moving in the same direction.
Best for:
* Strong trending stocks.
* Indexes.
* Breakout environments.
* Higher-timeframe directional trading.
This model is less ideal in sideways or choppy markets.
---
### Mean Reversion
Use **Mean Reversion** when you want the model to focus on stretched conditions.
It is designed to:
* Emphasize momentum extremes.
* Look for environments where price may snap back or reverse.
* Care less about long-term trend persistence.
Best for:
* Range-bound markets.
* Overbought/oversold setups.
* Countertrend analysis.
* Shorter-term reversal ideas.
This model may fight strong trends, so use it carefully in momentum-heavy markets.
---
## Historical Lookback Inputs
### Lookback Bars
This lets you move the forecast backward in time.
Example:
* `0` means current forecast.
* `50` means show what the forecast would have looked like 50 bars ago.
* `250` means show what the forecast would have looked like 250 bars ago.
Use this for:
* Visual backtesting.
* Studying old setups.
* Checking whether the forecast was useful historically.
* Comparing forecast paths against what actually happened.
This is one of the most valuable testing features.
---
### Lock to Candle
This lets you anchor the forecast to a specific candle time instead of a simple bar offset.
Use it when:
* You want to test a specific time of day.
* You trade a regular session open.
* You want repeatable historical anchors.
Example:
* You can lock to the 13:30 UTC candle, which often corresponds to the U.S. stock market open during daylight saving time.
When this is off, the indicator uses **Lookback Bars** instead.
---
### Days Back
This works with **Lock to Candle**.
It tells the indicator how many matching anchor candles to go back.
Example:
* `0` = most recent matching candle.
* `1` = one matching session back.
* `2` = two matching sessions back.
Use this when:
* You want to test the most recent open.
* You want to test yesterday’s open.
* You want to step through past sessions one by one.
---
### Hour UTC
This is the UTC hour used for candle locking.
Use it with **Minute UTC** to identify the exact candle you want.
Example:
* `13` means 13:00 UTC.
* Combined with `30`, it means 13:30 UTC.
This is useful because PulseWire symbols and sessions can vary, but UTC gives a consistent anchor.
---
### Minute UTC
This is the UTC minute used for candle locking.
Example:
* Hour UTC = `13`
* Minute UTC = `30`
Together, that means:
* Lock to the 13:30 UTC candle.
Use this for precise historical testing.
---
### Auto Previous Session
This controls what happens if today’s target candle has not printed yet.
When turned **On**:
* The indicator automatically uses the most recent previous matching candle.
* This keeps the forecast visible even before today’s target time exists.
When turned **Off**:
* If today’s target candle has not printed, the lock may show no match and fall back.
For most users, leave this **On**.
---
## Bias Logic Inputs
### Bias Threshold %
This controls how strong the bull or bear probability must be before the indicator labels the forecast bullish or bearish.
Example:
* If Bias Threshold is `60`, Bull Probability must be at least 60% before a bullish label can appear.
* If Bear Probability is at least 60%, a bearish label can appear.
Use a lower threshold when:
* You want more frequent bias labels.
* You are okay with weaker directional evidence.
Use a higher threshold when:
* You want stricter signals.
* You only want stronger historical agreement.
Practical range:
* `60%` = balanced.
* `70%+` = more conservative.
* `50–55%` = loose and more signal-heavy.
---
### Minimum Bull/Bear Edge %
This controls how large the gap must be between Bull Probability and Bear Probability.
Example:
* Bull Probability = 65%
* Bear Probability = 35%
* Edge = 30 percentage points
If the minimum edge is `15`, this would qualify.
But:
* Bull Probability = 58%
* Bear Probability = 42%
* Edge = 16 percentage points
This may still fail if Bull Probability is below the Bias Threshold.
This input prevents weak differences from being labeled as strong directional bias.
Use a higher edge when:
* You want cleaner bias labels.
* You want the model to avoid borderline calls.
Use a lower edge when:
* You want more frequent directional bias.
* You accept more uncertainty.
---
## Display Inputs
### Show Forecast Midline
This turns the main forecast line on or off.
Turn it **On** when:
* You want to see the projected average path.
Turn it **Off** when:
* You only want the info box probabilities.
* You want a cleaner chart.
---
### Show Confidence Bands
This turns the upper and lower forecast bands on or off.
Turn it **On** when:
* You want to see the historical range of outcomes.
* You care about uncertainty.
* You want to know whether the forecast is tight or messy.
Turn it **Off** when:
* You only want the central forecast.
* The chart feels too cluttered.
---
### Band Width Multiplier
This controls how wide the bands are.
Higher values make the bands wider.
Lower values make the bands tighter.
Use lower values when:
* You want a cleaner, tighter visual range.
* You want bands closer to the average forecast.
Use higher values when:
* You want to see a broader range of historical outcomes.
* You want a more conservative uncertainty envelope.
Default `1.0` is a good starting point.
---
## Forecast Midline Style Inputs
### Forecast Midline Color
Controls the color of the main projection line.
The default aqua color makes it visually distinct from price candles.
### Forecast Midline Width
Controls how thick the midline is.
Use a thicker line when:
* You want the forecast to stand out.
* You are using a busy chart.
Use a thinner line when:
* You want a cleaner chart.
* You use many overlays.
### Forecast Midline Type
Controls whether the line is:
* Solid.
* Dashed.
* Dotted.
Solid is usually best for the main forecast line.
---
## Upper Band Style Inputs
### Upper Band Color
Controls the color of the upper forecast band.
The default green tone suggests upside range.
### Upper Band Width
Controls how thick the upper band is.
A thin dashed line usually works best because it should be secondary to the midline.
### Upper Band Type
Controls whether the upper band is solid, dashed, or dotted.
Dashed is usually best because it visually communicates “range” rather than “target.”
---
## Lower Band Style Inputs
### Lower Band Color
Controls the color of the lower forecast band.
The default red tone suggests downside range.
### Lower Band Width
Controls how thick the lower band is.
A thin line keeps it useful without dominating the chart.
### Lower Band Type
Controls whether the lower band is solid, dashed, or dotted.
Dashed is usually best for the same reason as the upper band.
---
## Info Box Inputs
### Show Info Box
This turns the dashboard on or off.
Turn it **On** when:
* You want the probabilities and diagnostics visible.
* You are actively evaluating the forecast.
Turn it **Off** when:
* You only want the chart projection.
* You want a cleaner visual layout.
---
### Info Box Position
Controls where the dashboard appears.
Options:
* Top Left.
* Top Right.
* Bottom Left.
* Bottom Right.
Use the position that interferes least with price action on your chart.
---
### Text Size
Controls the dashboard text size.
Use:
* **Tiny** for compact charts.
* **Small** for normal use.
* **Normal** if you want easier reading.
* **Large** for presentations or large monitors.
---
### Background
Controls the info box background color.
A darker background usually works best on most PulseWire chart themes.
### Border
Controls the info box border color.
This helps separate the dashboard from the chart.
### Header Text
Controls the title/header text color.
### Header Background
Controls the top header row background.
This gives the dashboard its polished look.
---
## Info Box Metrics
### Bull Prob %
This shows the weighted percentage of selected historical matches that ended bullish.
Simple meaning:
> Of the similar historical market states, how many tended to move up?
A high number means bullish outcomes dominated the selected historical matches.
---
### Bear Prob %
This shows the weighted percentage of selected historical matches that ended bearish.
Simple meaning:
> Of the similar historical market states, how many tended to move down?
A high number means bearish outcomes dominated the selected historical matches.
---
### Direction Bias
This shows the final label after applying the bias rules.
Possible outputs:
* Bullish.
* Bearish.
* None.
* Weak Data.
* No Matches.
A bullish or bearish label only appears when the probability and edge requirements are met.
---
### Bull/Bear/Flat
This shows how many selected matches ended:
* Bullish.
* Bearish.
* Flat.
Example:
* `18 / 9 / 3`
This means:
* 18 bullish historical outcomes.
* 9 bearish historical outcomes.
* 3 flat historical outcomes.
This gives you a quick look at the underlying distribution.
---
### Match Count
This shows how many historical matches were actually used.
If Pattern Matches is set to `30`, Match Count should usually show `30`.
If it shows less, there may not have been enough valid historical data.
---
### Fit Quality
This tells you how closely the selected historical matches resemble the current market state.
High Fit Quality means:
* The current market environment closely resembles the selected historical examples.
Low Fit Quality means:
* The engine found matches, but they were not very close.
Important:
* Fit Quality is not win rate.
* Fit Quality is not probability.
* Fit Quality is not accuracy.
* It only measures how good the historical comparisons are.
Best interpretation:
* High Fit Quality + strong Bull/Bear Probability = more compelling.
* High Fit Quality + split probabilities = similar markets existed, but outcomes were mixed.
* Low Fit Quality = be cautious.
---
### Model
This shows which Forecast Model is active.
Examples:
* Balanced.
* Conservative.
* Aggressive.
* Trend Following.
* Mean Reversion.
This is useful for screenshots and reviewing past setups.
---
### Anchor
This tells you where the forecast is anchored.
Examples:
* `0 bars · NR` means current forecast using Non-Repaint Mode.
* `50 bars · NR` means historical forecast from 50 bars ago.
* `Locked` means it is anchored to a specific UTC candle.
This helps you know whether you are looking at a current forecast or a historical replay.
---
### Search Depth
This shows the actual number of bars being searched.
It may be lower than your input if the chart does not have enough loaded history.
---
## Best Practical Way to Use It
A clean workflow would be:
* Start with **Balanced** model.
* Keep **Non-Repaint Mode On**.
* Use **Pattern Matches around 30**.
* Use **Search Depth around 1000**.
* Watch **Fit Quality**.
* Watch **Bull/Bear Probability**.
* Treat the forecast line as a scenario path, not a guaranteed prediction.
* Use **Lookback Bars** to test whether the forecast was historically useful.
* Avoid trusting any forecast where the bands are very wide and probabilities are split.
The strongest setup is usually when:
* Fit Quality is high.
* Bull or Bear Probability is clearly dominant.
* The forecast bands are not extremely wide.
* The projection agrees with price structure.
Indicator
Neural Confluence Engine [Quantum Algo]Neural Confluence Engine
Neural Confluence Engine is a Pine Script v6 indicator that fuses eight independent technical factors — momentum, trend, VWAP position, RSI regime, MACD acceleration, ADX trend power, volume confirmation, and squeeze state — into a single weighted directional strength score on a 0–100 scale. Signals are gated by a user-configurable score threshold and an optional higher-timeframe trend filter before firing. The script is open-source. All signals are confirmed on bar close and do not repaint.
═══════════════════════════════════════════════════════════════════════
HOW IT WORKS
═══════════════════════════════════════════════════════════════════════
1. The eight factor model. Each bar, the engine evaluates eight independent factors and assigns each a normalized score between 0 and 1 based on its current state and intensity. Factors are scored separately for bullish and bearish directions.
2. WaveTrend Momentum (weight 1.5). Computes a custom oscillator from HLC3 smoothed by EMA of channel length (default 9) and signal length (default 12). Oversold reversals below -40 score 1.0; readings above zero score 0.8; positive crossovers below zero score 0.5.
3. EMA Alignment (weight 1.3). Triple EMA stack: fast (default 9) > slow (default 21) > baseline (default 50) scores 1.0 for full alignment. Fast > slow alone scores 0.6. Otherwise 0.
4. VWAP Position (weight 1.0). Price above VWAP by more than 1 ATR scores 1.0. Price above VWAP within 1 ATR scores 0.7. Below VWAP scores 0.
5. RSI Regime (weight 0.8). RSI above 60 scores 1.0. RSI between 50 and 60 scores 0.6. Below 50 scores 0.
6. MACD Histogram (weight 0.8). Rising histogram above zero scores 1.0. Positive but flat histogram scores 0.6. Negative histogram scores 0.
7. ADX Trend Power (weight 0.7). ADX above 40 scores 1.0. ADX between 25 and 40 scores 0.7. ADX below 25 scores 0.3 (penalty for chop, not zero).
8. Volume Confirmation (weight 1.0). Volume above 20-bar SMA combined with a directional candle close scores 1.0. Volume between 80% and 100% of average scores 0.4. Below scores 0.
9. Squeeze State (weight 1.2). Detects Bollinger Band compression inside Keltner Channels using length-20 standard deviation and ATR-10 envelopes. A "firing" bar (compression releases) with positive momentum scores 1.0. Compression without release scores 0.3.
10. Weighted aggregation and smoothing. Each directional factor is multiplied by its weight, summed, divided by total weight, and scaled to 0–100. The raw score is then smoothed with a 3-bar EMA to reduce single-bar noise. Bull score and Bear score are tracked separately. The net Neural Confluence Engine score is the difference between them.
═══════════════════════════════════════════════════════════════════════
SIGNAL TIERS
═══════════════════════════════════════════════════════════════════════
The script produces two signal tiers from the same scoring engine, allowing traders to choose between sensitivity and selectivity.
Standard signals (BUY / SELL). Fire on EMA ribbon color change — when the fast EMA crosses the slow EMA. These follow every directional shift regardless of score. Useful for systematic trend-following.
High-confluence signals (BUY+ / SELL+). Fire only when three conditions align simultaneously: an EMA cross occurs, the directional score exceeds the user-configurable threshold (default 60), and the higher-timeframe trend agrees with the signal direction. Used to filter for the most aligned setups.
Both signal tiers open trade management — entry, stop loss, three take-profit targets, and optional trailing stop after TP1.
═══════════════════════════════════════════════════════════════════════
TRADE MANAGEMENT
═══════════════════════════════════════════════════════════════════════
When a signal fires, the engine computes ATR-scaled risk levels relative to entry:
Stop loss: entry minus 1.5 × ATR (configurable multiplier 0.5–10).
TP1: 1R target (configurable risk-reward ratio).
TP2: 2R target.
TP3: 3R target.
When TP1 is reached, the stop converts to a trailing structure: SL moves to breakeven, then advances to TP1 level when TP2 is hit, then to TP2 level when TP3 is hit. The trailing stop also follows price at 0.5 × ATR distance after TP1. This can be disabled via the "Activate Trailing SL after TP1" toggle.
═══════════════════════════════════════════════════════════════════════
WHAT'S ACTUALLY DIFFERENT
═══════════════════════════════════════════════════════════════════════
◆ Eight-factor weighted composite, not a single trigger. Standard indicators fire on one condition — an EMA cross, an RSI level, a volume spike. The Neural Confluence Engine requires multiple independent factors to agree, weights them by historical reliability, and gates signals through a configurable score threshold. The trader can dial sensitivity from 20 (sensitive) to 95 (selective) without re-tuning eight separate sub-indicators.
◆ Two-tier signal architecture. Most indicators produce one stream of signals. This produces two from the same engine: standard ribbon flips for sensitive trend-following, and high-confluence variants gated by score + HTF agreement. Traders can use either tier independently or both in confluence.
◆ HTF agreement is built into the signal gate, not a separate filter. The higher-timeframe trend check is computed natively via request.security, auto-detected based on the chart timeframe (15m → 1H, 1H → 4H, 4H → D, D → W) or set manually. BUY+/SELL+ signals are blocked if HTF disagrees.
◆ Per-factor visibility in the dashboard. Each of the eight factors is individually viewable in real time — traders can see exactly which factors are contributing to the current score, rather than receiving a black-box signal. This is rare in confluence-style indicators which typically hide the sub-components.
◆ Trailing-stop ratcheting tied to TP hits. The trailing stop doesn't just follow ATR — it advances in tiers tied to take-profit milestones. After TP1, stop moves to breakeven. After TP2, to TP1. After TP3, to TP2. This protects profits at structurally meaningful levels rather than purely volatility-derived ones.
═══════════════════════════════════════════════════════════════════════
RECOMMENDED SETTINGS
═══════════════════════════════════════════════════════════════════════
Forex majors (EUR/USD, GBP/USD, USD/JPY) — 1H to 4H: Min Confluence Score 65, HTF Trend Filter on, SL Multiplier 1.5, TP R:R 1/2/3, HTF auto. Optimized for session-driven moves where structural levels respect institutional flow.
Crypto perpetuals (BTC, ETH, SOL) — 15M to 1H: Min Confluence Score 60, HTF Trend Filter on, SL Multiplier 2.0, TP R:R 1/2/3, HTF auto. Tuned for 24/7 markets with higher noise floors; the slightly wider stop accommodates increased wick volatility.
Gold (XAUUSD) — 1H to 4H: Min Confluence Score 70, HTF Trend Filter on, SL Multiplier 1.8, TP R:R 1/2/3.5, HTF set to Daily. Designed for the elevated wick activity around US session open and the tendency for sharp moves to develop after squeeze release.
Indices (SPX, NDX, DAX) — 5M to 1H: Min Confluence Score 55, HTF Trend Filter on, SL Multiplier 1.2, TP R:R 1/2/3, HTF auto. Tuned for cash-session structure and typical post-open momentum continuation.
Swing trading (any market) — 4H to Daily: Min Confluence Score 75, HTF Trend Filter on, SL Multiplier 2.5, TP R:R 1.5/3/5, HTF set to Weekly. Reduces noise to the highest-conviction setups only; wider targets to match the higher timeframe.
═══════════════════════════════════════════════════════════════════════
ALERTS & OUTPUTS
═══════════════════════════════════════════════════════════════════════
Alerts available:
BUY signal — ribbon flipped bullish (standard sensitivity)
SELL signal — ribbon flipped bearish (standard sensitivity)
BUY+ signal — high-confluence bullish setup
SELL+ signal — high-confluence bearish setup
Squeeze breakout — volatility compression released
TP1 reached — trailing stop activated
TP2 reached
TP3 reached
On-chart visuals:
EMA ribbon (5, 9, 13, 21, 34, 50) with fill bands colored by trend direction
VWAP plot with color reflecting price position
BUY / SELL / BUY+ / SELL+ signal labels at signal bars
Confluence score percentage label on BUY+ / SELL+ bars
Optional Entry / SL / TP1 / TP2 / TP3 horizontal lines for the most recent trade
TP-hit confirmation labels with checkmarks
Squeeze background highlight when compression is active
Diamond markers (⚡) on squeeze breakout bars
Optional momentum wave background colored by net score intensity
Optional candle coloring on signal bars
Multi-row dashboard with bull/bear scores, bias classification, HTF direction, factor states, trade status, and threshold setting
═══════════════════════════════════════════════════════════════════════
NOTES
═══════════════════════════════════════════════════════════════════════
Pine Script version: v6.
Repainting: All signals (BUY, SELL, BUY+, SELL+, squeeze breakouts, TP/SL hits) are evaluated on confirmed bar close and do not repaint. Higher-timeframe values use lookahead=barmerge.lookahead_off so HTF readings reflect only confirmed information available at signal time.
Compatibility: Works on all symbols and timeframes available in PulseWire. Tested on forex majors, crypto perpetuals, gold, and major indices. Functions on stocks but the volume confirmation factor may require threshold adjustment for low-volume tickers. Functions on continuous contracts and CFDs.
Open-source: This script is open-source. Clone, study, and modify it freely under the terms of PulseWire's House Rules. Republishing the source under a different name is not permitted.
Credits: This indicator's logic is independently developed. The component oscillators (WaveTrend, RSI, MACD, ADX, Bollinger Bands, Keltner Channels, VWAP) are standard public-domain technical analysis tools. The weighted-score aggregation methodology, two-tier signal architecture, ATR-tiered trailing stop progression, and per-factor dashboard are original implementations.
Disclaimer: This indicator is provided for educational and analytical purposes. Trading involves substantial risk of loss. Past performance does not guarantee future results. Position sizing and risk management are the trader's sole responsibility. Nothing in this script or description constitutes financial advice. Indicator
Thermal Candlestick Spectrogram [Jamallo]The Thermal Candlestick Spectrogram replaces flat, binary candlesticks with a heat-mapped view of price density. Every bar radiates outward from a white-hot core through layers of orange, red, and deep amber — the same way thermal imaging reveals intensity beneath a surface. The result is a chart that doesn't just show you what price did, it shows you how concentrated that move was.
How It Works
A 7-layer gradient stack is anchored to each candle's midpoint and expands symmetrically toward the edges of the body. Transparency increases with each outer layer, creating a natural falloff that mimics heat dissipation:
White-yellow core — maximum density at the center of the body
Orange-red mantle — transitional layers that reveal the spread of price action
Dark outer boundary — a near-transparent edge that lets candles breathe without hard lines
Fading wicks — a dual-layer vertical fade that tapers wicks naturally toward the High and Low extremes, reducing visual noise
Anti-aliased price dot — a precision close marker with a subtle white halo for clean real-time tracking
Design & Performance
The entire effect runs on a fixed 9-plot architecture (7 body layers + 2 wick layers), keeping script weight low and render performance stable even alongside other indicators. No dynamic loops, no repainting — just a clean, deterministic stack that works across all timeframes and instruments.
Visual Comparison
Traditional flat candles vs. the Thermal Spectrogram — same data, entirely different depth. Indicator
Indicator
Indicator
Trend Sniper v2.5 - Haar Wavelet Edition [Jamallo]Author's Note:
The previous Trend Sniper v2.5 was built around a 2-Pole Butterworth Super Smoother with Parkinson historical volatility driving the trailing stops. This edition replaces that entire core with a Maximal Overlap Discrete Wavelet Transform (MODWT) using Haar basis functions and a Vervoort ATR trailing stop . Where the Butterworth produced smooth, continuous curves, the Haar wavelet produces structural steps — only updating when true market movement exceeds the calculated noise energy floor. Same Trend Sniper framework, completely different engine under the hood.
Intro
Trend Sniper v2.5 - Haar Wavelet Edition the Maximal Overlap Discrete Wavelet Transform (MODWT) using Haar basis functions. The result is a structural, step-based signal line that ignores minor price fluctuations entirely and only updates when true market movement exceeds a dynamically calculated noise threshold. Combined with a Vervoort ATR trailing stop, dual SuperTrend envelopes, and KAMA midpoint, this indicator provides a complete trend-following framework built on signal processing principles rather than traditional moving average logic.
Breakdown
Haar Wavelet Signal Line (MODWT + Adaptive Deadband)
The core of this indicator is a 5-level cascaded MODWT Haar wavelet decomposition applied to smoothed Heikin-Ashi price. At each level, price is split into a smooth coefficient (trend) and a detail coefficient (noise). The user selects a decomposition level (1–5), controlling the structural scale — from 2-bar micro-structure up to 32-bar macro-structure.
An adaptive deadband then wraps the smooth coefficient: the average absolute detail energy is measured over a lookback window and scaled by a multiplier. The signal line only steps to a new value when the smooth coefficient moves beyond this noise-energy threshold. This creates the characteristic "staircase" behavior — flat holds during noise, clean steps on real moves. The signal line colors by its own step direction: bull when it steps up, bear when it steps down.
Vervoort ATR Trailing Stop
A Sylvain Vervoort-style trailing stop is anchored directly to the Haar wavelet signal line rather than raw price. The stop distance is calculated as ATR × multiplier. In an uptrend, the stop ratchets upward and never retreats; in a downtrend, it ratchets downward. The stop flips when price closes through it. Because it's anchored to the structural wavelet line instead of noisy price, it produces cleaner, more decisive flip points.
The trailing stop uses independent CMO (Chande Momentum Oscillator) + deadband hysteresis for its coloring — it only changes color when confirmed momentum cleanly breaches the CMO threshold, preventing color flicker during consolidation.
Dual SuperTrend Envelopes
Two SuperTrend calculations using smoothed Heikin-Ashi ATR create the outer structure:
Slow SuperTrend (default mult 9.0) — the wide envelope defining macro trend boundaries
Fast SuperTrend (default mult 6.0) — combined with the signal line to create the Fast Trigger dots
The Fast Trigger is the midpoint of the fast SuperTrend and the Haar signal, plotted as orange circles for quick visual reference of momentum alignment.
KAMA Midpoint & 4-State Fill
A Kaufman Adaptive Moving Average smooths the midpoint between the slow SuperTrend and the Haar signal. The fill between the KAMA midpoint and the signal line uses four distinct color states based on whether price is above/below the slow SuperTrend and whether the signal is above/below the fast trigger — providing an immediate visual read on trend alignment and momentum phase.
End
The wavelet decomposition reveals the true step-by-step nature of price movement by mathematically separating signal from noise — use it alongside your own risk management and confluence analysis. Trade the structure, not the noise. Indicator
Indicator
A1 Value Turn Triple Mode v2.3 (Swing + Crypto)# A1 Value Turn Triple Mode v2.3 — Swing + Crypto
## Overview
The A1 Value Turn is a multi-layer confluence indicator designed to identify high-probability mean reversion entries on quality stocks and crypto assets that have pulled back significantly from their 52-week highs. It combines value band detection, moving average proximity, RSI momentum, volume confirmation, sector rotation, and IV rank filtering into a single signal system with a built-in 3-leg exit ladder.
Built for swing traders and options traders targeting 60–90 DTE calls or verticals on A-grade companies trading at a discount.
---
## How It Works
### 4-Layer Signal Gate
A full signal only fires when ALL four conditions align:
1. **Value Band** — Price is 40–60% (or 60–80% in Deep mode) below its 52-week high
2. **MA Proximity** — Price is within a configurable % of the 200-period SMA
3. **RSI Turn** — RSI is within the mode-specific range AND curling upward from the prior bar
4. **Volume Surge** — Current volume is at least 1.3x the 20-day average
Plus two optional confirmation layers:
- **Sector ETF confirmation** — The selected sector ETF RSI is also curling up and price is above its 50 MA
- **IV Rank filter** — Historical volatility rank is below your threshold, ensuring you are not overpaying for options premium
---
## Three Modes
| Mode | Value Band | RSI Range | Vol Mult | Target 1 |
|---|---|---|---|---|
| 40–60% off High (Swing) | 40–60% below 52W high | 40–70 | 1.3x | +20% |
| 60–80% off High (Deep) | 60–80% below 52W high | 35–70 | 1.3x | +35% |
| Crypto-Linked | Any | 25–75 | 1.1x | +50% |
---
## 3-Leg Exit Ladder
Every signal automatically calculates three exit targets with live R:R ratios:
- **Target 1** — Mode-specific % gain from entry (scale out 1/3)
- **Target 2** — 2x Target 1 (scale out 1/3)
- **Target 3** — The actual 52-week high (full recovery, scale out final 1/3)
Each target plots as a dashed horizontal line anchored to the signal bar. The ATR-based stop loss plots simultaneously so you know your risk before you enter.
---
## Signal States on the Chart
| Shape | Color | Meaning |
|---|---|---|
| Large triangle below bar | Mode color (aqua/orange/purple) | All layers confirmed — entry signal |
| Small triangle below bar | Faded orange | Stock + sector ready, IV rank too high — wait |
| Small triangle below bar | Faded gray | Stock + IV ready, sector not confirmed — wait |
| Gold circle above bar | Yellow | Bullish RSI divergence confluence bonus |
| Bar background tint | Mode color | Full signal bar highlight |
---
## Signal Label
Each confirmed signal prints a label showing:
- Entry price
- Target 1, 2, and 3 with % gain and R:R ratio per leg
- ATR stop loss price
- HV Rank % and current VIX reading
- Sector ETF RSI
- % off 52-week high, RSI, and volume ratio
---
## IV Rank Filter (New in v2.3)
Since PulseWire does not provide live options IV data in Pine Script, this indicator uses Historical Volatility Rank — the annualized standard deviation of daily log returns measured against its own 52-week high and low range. HV Rank and IV move together closely enough that HV Rank is the standard professional proxy used in Pine-based systems.
A separate VIX macro threshold adds a second layer — if the market fear index is above your set level, signals are suppressed regardless of individual stock HV.
When IV is too high, a pending orange triangle fires with a label showing exactly what threshold to wait for.
---
## Inputs
### Core Settings
- Lookback for 52W High (bars)
- Long MA Length
- RSI Length
- Max % Distance from MA
- Mode selection
### Display
- Show/hide table, labels, stop line, Target 2, Target 3
- ATR Length and Multiplier for stop calculation
### IV Rank Filter
- Enable/disable IV filter
- Max HV Rank % (default 50)
- Enable/disable VIX threshold
- Max VIX level (default 25)
### Sector Rotation
- Enable/disable sector confirmation
- Sector ETF ticker (XLK, XLV, XLF, XLY, etc.)
- Sector ETF MA length
---
## Alerts
Four alert conditions built in:
1. **Full Signal** — All layers confirmed, ready to enter
2. **Pending IV** — Stock and sector ready, waiting for IV to cool
3. **Pending Sector** — Stock and IV ready, waiting for sector confirmation
4. **Max Confluence** — Full signal AND bullish RSI divergence
---
## Recommended Use
1. Run a Finviz scan each morning filtering for large caps 40–80% off their 52-week high with above-average volume
2. Open each candidate in PulseWire with this indicator applied
3. Set your sector ETF to match the stock's sector
4. Wait for a full signal (large colored triangle)
5. Use the label to size your 60–90 DTE options position using the printed R:R ratios
6. Scale out 1/3 at each target
Best results on daily timeframe. Works on weekly for longer-horizon setups.
---
## Notes
- This indicator is for educational and informational purposes
- Past signals do not guarantee future results
- Always use proper position sizing and risk management
- HV Rank is a proxy for IV, not actual options implied volatility
---
*Built by MOR Trading Systems* Indicator
Volatility Squeeze Pro [JOAT]
Volatility Squeeze Pro — Advanced Volatility Compression Analysis System
This indicator addresses a specific analytical challenge in volatility analysis: how to identify periods when different volatility measurements show compression relationships that may indicate potential energy buildup in the market. It combines two distinct volatility calculation methods—standard deviation-based bands and ATR-based channels—with a momentum oscillator to provide comprehensive volatility state analysis.
Why This Combination Provides Unique Analytical Value
Traditional volatility indicators typically focus on single measurements, but markets exhibit different types of volatility that require different analytical approaches:
1. **Closing Price Volatility** (Standard Deviation): Measures how much closing prices deviate from their average
2. **Trading Range Volatility** (ATR): Measures the actual high-to-low trading ranges
3. **Directional Momentum**: Measures where price sits within its recent range
The problem with using these individually:
- Standard deviation alone doesn't account for intraday volatility
- ATR alone doesn't consider closing price clustering
- Momentum alone doesn't provide volatility context
- No single measurement captures the complete volatility picture
This indicator's originality lies in creating a comprehensive volatility analysis system that:
**Identifies Volatility Compression**: When closing price volatility contracts inside trading range volatility, it suggests potential energy buildup
**Provides Momentum Context**: Shows directional bias during compression periods
**Offers Multi-Dimensional Analysis**: Combines three different analytical approaches into one coherent system
**Delivers Real-Time Assessment**: Continuously monitors the relationship between different volatility types
Technical Innovation and Originality
While individual components (Bollinger Bands, Keltner Channels, Linear Regression) are standard, the innovation lies in:
1. **Volatility Relationship Detection**: The mathematical comparison between standard deviation bands and ATR channels creates a unique compression identification system
2. **Integrated Momentum Analysis**: Linear regression-based momentum calculation provides directional context specifically during volatility compression periods
3. **Multi-State Visualization**: The indicator provides clear visual encoding of different volatility states (compressed vs. normal) with momentum direction
4. **Adaptive Threshold System**: The squeeze detection automatically adapts to different instruments and timeframes without manual calibration
How the Components Work Together Analytically
The three components create a comprehensive volatility analysis framework:
**Standard Deviation Component**: Measures closing price dispersion around the mean
float bbBasis = ta.sma(close, bbLength)
float bbDev = bbMult * ta.stdev(close, bbLength)
float bbUpper = bbBasis + bbDev
float bbLower = bbBasis - bbDev
**ATR Channel Component**: Measures actual trading range volatility
float kcBasis = ta.ema(close, kcLength)
float kcRange = ta.atr(atrLength)
float kcUpper = kcBasis + kcRange * kcMult
float kcLower = kcBasis - kcRange * kcMult
**Squeeze Detection Logic**: Identifies when closing price volatility compresses within trading range volatility
bool squeezeOn = bbLower > kcLower and bbUpper < kcUpper
// This condition indicates closing prices are clustering more tightly
// than the typical trading range would suggest
**Momentum Context Component**: Provides directional bias during compression
float highestHigh = ta.highest(high, momLength)
float lowestLow = ta.lowest(low, momLength)
float momentum = ta.linreg(close - math.avg(highestHigh, lowestLow), momLength, 0)
float momSmooth = ta.sma(momentum, smoothLength)
The analytical relationship creates a system where:
- Squeeze detection identifies WHEN volatility compression occurs
- Momentum analysis shows WHERE price is positioned during compression
- Combined analysis provides both timing and directional context
How the Volatility Comparison Works
The indicator compares two volatility measurements:
Standard Deviation Bands
These measure how much closing prices deviate from their average. When prices cluster tightly around the average, the bands contract.
// Standard deviation bands calculation
float bbBasis = ta.sma(close, bbLength)
float bbDev = bbMult * ta.stdev(close, bbLength)
float bbUpper = bbBasis + bbDev
float bbLower = bbBasis - bbDev
ATR-Based Channels
These measure volatility using Average True Range—the typical distance between high and low prices. They respond to the actual trading range rather than closing price dispersion.
// ATR-based channels calculation
float kcBasis = ta.ema(close, kcLength)
float kcRange = ta.atr(atrLength)
float kcUpper = kcBasis + kcRange * kcMult
float kcLower = kcBasis - kcRange * kcMult
The Squeeze Condition
A "squeeze" is detected when the standard deviation bands are completely contained within the ATR channels:
// Squeeze detection
bool squeezeOn = bbLower > kcLower and bbUpper < kcUpper
This condition indicates that closing price volatility has compressed relative to the overall trading range.
The Momentum Component
The momentum oscillator measures where price sits relative to its recent high-low range, using linear regression for smoothing:
// Momentum calculation
float highestHigh = ta.highest(high, momLength)
float lowestLow = ta.lowest(low, momLength)
float momentum = ta.linreg(close - math.avg(highestHigh, lowestLow), momLength, 0)
float momSmooth = ta.sma(momentum, smoothLength)
Positive values indicate price is above the midpoint of its recent range; negative values indicate below.
Why Display Both Together
The squeeze detection shows WHEN volatility is compressed. The momentum reading shows the current directional bias of price within that compression. Together, they provide two pieces of information:
1. Is volatility currently compressed? (squeeze status)
2. Where is price leaning within the current range? (momentum)
These are observations about current conditions, not predictions about future movement.
Visual Elements
Momentum Histogram — Bars showing momentum value
- Green shades: Positive momentum (price above range midpoint)
- Red shades: Negative momentum (price below range midpoint)
- Brighter colors: Momentum increasing
- Faded colors: Momentum decreasing
Squeeze Dots — Circles on the zero line
- Red: Squeeze condition active
- Green: No squeeze condition
Release Markers — Triangle markers when squeeze condition ends
Dashboard — Current readings and status
Color Scheme
Squeeze Active — #FF5252 (red)
No Squeeze — #4CAF50 (green)
Momentum Positive — #00E676 / #81C784 (green shades)
Momentum Negative — #FF5252 / #E57373 (red shades)
Inputs
Standard Deviation Bands:
Length (default: 20)
Multiplier (default: 2.0)
ATR Channels:
Length (default: 20)
Multiplier (default: 1.5)
ATR Period (default: 10)
Momentum:
Length (default: 12)
Smoothing (default: 3)
How to Read the Display
Red dots indicate the squeeze condition is present
Green dots indicate normal volatility relationship
Histogram direction shows current momentum bias
Histogram color brightness shows whether momentum is increasing or decreasing
Alerts
Squeeze condition started
Squeeze condition ended
Squeeze ended with positive momentum
Squeeze ended with negative momentum
Extended squeeze (8+ bars)
Important Limitations and Realistic Expectations
Volatility compression detection is a mathematical relationship between calculations—it does not predict future price movements
Many compression periods do not result in significant price expansion or directional moves
Momentum direction during compression does not reliably indicate future breakout direction
This indicator analyzes current and historical volatility conditions only—it cannot predict future volatility
False signals are common—not every squeeze leads to tradeable price movement
Different parameter settings will produce different compression detection sensitivity
Market conditions, news events, and fundamental factors often override technical volatility patterns
No volatility indicator can predict the timing, direction, or magnitude of future price movements
This tool should be used as one component of comprehensive market analysis
Appropriate Use Cases
This indicator is designed for:
- Volatility state analysis and monitoring
- Educational study of volatility relationships
- Multi-dimensional volatility assessment
- Supplementary analysis alongside other technical tools
- Understanding market compression/expansion cycles
This indicator is NOT designed for:
- Standalone trading signal generation
- Guaranteed breakout prediction
- Automated trading system triggers
- Market timing precision
- Replacement of fundamental analysis
Understanding Volatility Analysis Limitations
Volatility analysis, while useful for understanding market conditions, has inherent limitations:
- Past volatility patterns do not guarantee future patterns
- Compression periods can extend much longer than expected
- Expansion periods may be brief and insufficient for trading
- External factors (news, fundamentals) often override technical patterns
- Different markets and timeframes exhibit different volatility characteristics
— Made with passion by officialjackofalltrades
Indicator
ConeCastConeCast is a forward-looking projection indicator that visualizes a future price range (or "cone") based on recent trend momentum and adaptive volatility. Unlike lagging bands or reactive channels, this tool plots a predictive zone 3–50 bars ahead, allowing traders to anticipate potential price behavior rather than merely react to it.
How It Works
The core of ConeCast is a dynamic trend-slope engine derived from a Linear Regression line fitted over a user-defined lookback window. The slope of this trend is projected forward, and the cone’s width adapts based on real-time market volatility. In calm markets, the cone is narrow and focused. In volatile regimes, it expands proportionally, using an ATR-based % of price to scale.
Key Features
📈 Predictive Cone Zone: Visualizes a forward range using trend slope × volatility width.
🔄 Auto-Adaptive Volatility Scaling: Expands or contracts based on market quiet/chaotic states.
📊 Regime Detection: Identifies Bull, Bear, or Neutral states using a tunable slope threshold.
🧭 Multi-Timeframe Compatible: Slope and volatility can be calculated from higher timeframes.
🔔 Smart Alerts: Detects price entering the cone, and signals trend regime changes in real time.
🖼️ Clean Visual Output: Optionally includes outer cones, trend-trail marker, and dashboard label.
How to Use It
Use on 15m–4H charts for best forward visibility.
Look for price entering the cone as a potential trend continuation setup.
Monitor regime changes and volatility expansion to filter choppy market zones.
Tune the slope sensitivity and ATR multiplier to match your symbol's behavior.
Use outer cones to anticipate aggressive swings and wick traps.
What Makes It Unique
ConeCast doesn’t follow price — it predicts a possible future price envelope using trend + volatility math, without relying on lagging indicators or repainting logic. It's a hybrid of regression-based forecasting and dynamic risk zoning, designed for swing traders, scalpers, and algo developers alike.
Limitations
ConeCast projects based on current trend and volatility — it does not "know" future price. Like all projection tools, accuracy depends on trend persistence and market conditions. Use this in combination with confirmation signals and risk management. Indicator
Indicator
Indicator
Alpine Predictive BandsAlpine Predictive Bands - ADX & Trend Projection is an advanced indicator crafted to estimate potential price zones and trend strength by integrating dynamic support/resistance bands, ADX-based confidence scoring, and linear regression-based price projections. Designed for adaptive trend analysis, this tool combines multi-timeframe ADX insights, volume metrics, and trend alignment for improved confidence in trend direction and reliability.
Key Calculations and Components:
Linear Regression for Price Projection:
Purpose: Provides a trend-based projection line to illustrate potential price direction.
Calculation: The Linear Regression Centerline (LRC) is calculated over a user-defined lookbackPeriod. The slope, representing the rate of price movement, is extended forward using predictionLength. This projected path only appears when the confidence score is 70% or higher, revealing a white dotted line to highlight high-confidence trends.
Adaptive Prediction Bands:
Purpose: ATR-based bands offer dynamic support/resistance zones by adjusting to volatility.
Calculation: Bands are calculated using the Average True Range (ATR) over the lookbackPeriod, multiplied by a volatilityMultiplier to adjust the width. These shaded bands expand during higher volatility, guiding traders in identifying flexible support/resistance zones.
Confidence Score (ADX, Volume, and Trend Alignment):
Purpose: Reflects the reliability of trend projections by combining ADX, volume status, and EMA alignment across multiple timeframes.
ADX Component: ADX values from the current timeframe and two higher timeframes assess trend strength on a broader scale. Strong ADX readings across timeframes boost the confidence score.
Volume Component: Volume strength is marked as “High” or “Low” based on a moving average, signaling trend participation.
Trend Alignment: EMA alignment across timeframes indicates “Bullish” or “Bearish” trends, confirming overall trend direction.
Calculation: ADX, volume, and trend alignment integrate to produce a confidence score from 0% to 100%. When the score exceeds 70%, the white projection line is activated, underscoring high-confidence trend continuations.
User Guide
Projection Line: The white dotted line, which appears only when the confidence score is 70% or higher, highlights a high-confidence trend.
Prediction Bands: Adaptive bands provide potential support/resistance zones, expanding with market volatility to help traders visualize price ranges.
Confidence Score: A high score indicates a stronger, more reliable trend and can support trend-following strategies.
Settings
Prediction Length: Determines the forward length of the projection.
Lookback Period: Sets the data range for calculating regression and ATR.
Volatility Multiplier: Adjusts the width of bands to match volatility levels.
Disclaimer: This indicator is for educational purposes and does not guarantee future price outcomes. Additional analysis is recommended, as trading carries inherent risks.
Indicator
Indicator
LBR-Volatility Breakout BarsThe originator of this script is Linda Raschke of LBR Group.
This Pine Script code is the version 5 of LBR Paintbars for PulseWire, called "LBR-Bars." It was originally coded for PulseWire in version 3 by LazyBear. It is a complex indicator that combines various features such as coloring bars based on different conditions, displaying Keltner channels, and showing volatility lines.
Let me break down the key components and explain how it works:
1. Inputs Section: This section defines various input parameters that users can adjust when adding the indicator to their charts. These parameters allow users to customize the behavior and appearance of the indicator. Here are some of the key input parameters:
- Users can control whether to color bars under different conditions. For example,
they can choose to color LBR bars, color bars above/below Kelts, or color non-LBR
bars.
- Users can choose whether to show volatility lines or shade Keltner channels' area
with the Mid being the moving average on the chart.
- In the calculation of Keltner channels, users can set the length of the moving
average that the Keltner channels use as the mid and then set the Keltner multiplier.
If users want to use "True Range" to determine calculations, they can turn it on or
off; it defaults to off.
- Users can change the calculation of volatility lines and set the length for finding the
lowest and highest prices. The user sets the ATR length and multiplier for the ATR.
2. Calculation Section: This section defines the calculation of the upper and lower standard deviation bands based on the input parameters. It uses Exponential Moving Averages (EMAs) and optionally True Range to calculate these bands if turned on. These bands are used in the Keltner channel calculation.
3. Keltner Channel Section: This section calculates the upper, middle, and lower lines of the Keltner channels. It also plots these lines on the chart. The colors and visibility of these lines are controlled by user inputs.
4. Volatility Lines Section: This section calculates the upper and lower volatility lines based on the lowest and highest prices over a specified period and the ATR. It also checks whether the current close price is above or below these lines accordingly. The colors and visibility of these lines are controlled by user inputs.
5. Bar Colors Section: This section determines the color of the bars on the chart based on various conditions. It checks whether the current bar meets conditions like being an LBR bar, being above or below volatility lines, or being in "No Man's Land." The color of the bars is set accordingly based on user inputs.
This Pine Script creates an indicator that provides visual cues on the chart based on Keltner channels, volatility lines, and other customizable conditions. Users can adjust the input parameters to tailor the indicator's behavior and appearance to their trading preferences. Indicator
Indicator
Indicator
Indicator
Stochastic RSI - DurbtradeDurbtrade Stoch RSI -
1) Stoch RSI
A) The K line can be customized to change color based on vertical direction.
B) The space between K line and D line can be filled with a color depending on whether K line is above or below the D line.
C) There are color-coded, cross-over and cross-under background fills, to signal when the K line crosses the D line.
D) K line is drawn in front of D line (D line is drawn behind K line).
E) Default values : K = 3, D = 4, RSI Length = 14, Stoch Length = 14
2) Horizontal Lines
A) Horizontal lines can be drawn automatically, so you don't have to draw them, and they don't extend past the current bar.
B) There are 11 customizable horizontal lines,
and each line is set to non-customizable increments (zero, 10, 20, 30, 40, fifty, 60, 70, 80, 90, hundred).
C) The 11 lines are divided into 2 groups:
a) 4 PAIRS of lines WITH fill options (10/90, 20/80, 30/70, 40/60... 8 lines total), and
b) 3 INDIVIDUAL lines WITHOUT fill options (zero, fifty, hundred).
D) The 4 fills give you the option to fill the space between each pair with a customizable color and opacity,
regardless of whether the lines themselves are drawn or not.
(all default values are what I feel work best for this indicator...
and initially, only the zero, fifty, and hundred lines are drawn automatically .
You may add the other lines if you choose to, by adjusting the opacity to your liking).
3) Conclusion
A) As with my previous indicators, this one maximizes information, color, discernment, clarity, and customization.
B) It is optimized for your ability to be able to easily customize the indicator according to your preferences...
for use on your own personal television, laptop, or cellular phone screen setup... and on all chart zoom levels and layouts.
C) Please feel free to comment your thoughts, critiques, or suggestions. They are all helpful!
D) Check out my previous pine script indicators if you like this one. They work really well together.
E) I hope that you find this script useful.
F) Enjoy!
//Durbtrade
Indicator
Indicator
Indicator
