Pivot Trend Flow [BigBeluga]🔵 OVERVIEW
Pivot Trend Flow turns raw swing points into a clean, adaptive trend band. It averages recent pivot highs and lows to form two dynamic reference levels; when price crosses above the averaged highs, trend flips bullish and a green band is drawn; when it crosses below the averaged lows, trend flips bearish and a red band is drawn. During an uptrend the script highlights breakouts of previous pivot highs with ▲ labels, and during a downtrend it flags breakdowns of previous pivot lows with ▼ labels—making structure shifts and continuation signals obvious.
🔵 CONCEPTS
Pivot-Based Averages : Recent pivot highs/lows are collected and averaged to create smoothed upper/lower reference levels.
if not na(ph)
phArray.push(ph)
if not na(pl)
plArray.push(pl)
if phArray.size() > avgWindow
upper := phArray.avg()
phArray.shift()
if plArray.size() > avgWindow
lower := plArray.avg()
plArray.shift()
Trend State via Crosses : Close above the averaged-highs ⇒ bullish trend; close below the averaged-lows ⇒ bearish trend.
Trend Band : A colored band (green/red) is plotted and optionally filled to visualize the active regime around price.
Structure Triggers :
In bull mode the tool watches for prior pivot-high breakouts (▲).
In bear mode it watches for prior pivot-low breakdowns (▼).
🔵 FEATURES
Adaptive Trend Detection from averaged pivot highs/lows.
Clear Visuals : Green band in uptrends, red band in downtrends; optional fill for quick read.
Breakout/Breakdown Labels :
▲ marks breaks of previous pivot highs in uptrends
▼ marks breaks of previous pivot lows in downtrends
Minimal Clutter : Uses compact lines and labels that extend only on confirmation.
Customizable Colors & Fill for trend states and band styling.
🔵 HOW TO USE
Pivot Length : Sets how swing points are detected. Smaller = more reactive; larger = smoother.
Avg Window (pivots) : How many recent pivot highs/lows are averaged. Increase to stabilize the band; decrease for agility.
Read the Band :
Green band active ⇒ prioritize longs, pullback buys toward the band.
Red band active ⇒ prioritize shorts, pullback sells toward the band.
Trade the Triggers :
In bull mode, ▲ on a prior pivot-high break can confirm continuation.
In bear mode, ▼ on a prior pivot-low break can confirm continuation.
Combine with Context : Use HTF trend, S/R, or volume for confluence and to filter signals.
Fill Color Toggle : Enable/disable band fill to match your chart style.
🔵 CONCLUSION
Pivot Trend Flow converts swing structure into an actionable, low-lag trend framework. By blending averaged pivots with clean breakout/breakdown labels, it clarifies trend direction, timing, and continuation spots—ideal as a core bias tool or a confirmation layer in any trading system.
Cari dalam skrip untuk "band"
Weekly/Monthly Golden ATR LevelsWeekly/Monthly Golden ATR Levels
This indicator is designed to give traders a clear, rule-based framework for identifying support and resistance zones anchored to prior period ranges and the market’s own volatility. It uses the Average True Range (ATR) as a measure of how far price can realistically stretch, then projects fixed levels from the midpoint of the prior week and prior month.
Rather than “moving targets” that repaint, these levels are frozen at the start of each new week and month and stay fixed until the next period begins. This makes them reliable rails for both intraday and swing trading.
What It Plots
Weekly Midpoint (last week’s High + Low ÷ 2)
From this mid, the script projects:
Weekly +1 / −1 ATR
Weekly +2 / −2 ATR
Monthly Midpoint (last month’s High + Low ÷ 2)
From this mid, the script projects:
Monthly +1 / −1 ATR
Monthly +2 / −2 ATR
Customization
Set ATR length & timeframe (default: 14 ATR on Daily bars).
Adjust multipliers for Level 1 (±1 ATR) and Level 2 (±2 ATR).
Choose line color, style, and width separately for weekly and monthly bands.
Toggle labels on/off.
How to Use
Context at the Open
If price opens above last week’s midpoint, bias favors upside toward +1 / +2.
If price opens below the midpoint, bias favors downside toward −1 / −2.
Weekly Bands = Short-Term Rails
+1 / −1 ATR: Rotation pivots. Expect intraday reaction.
+2 / −2 ATR: Extreme stretch zones. Reversals or breakouts often occur here.
Monthly Bands = Big Picture Rails
Use these for swing positioning, or as “outer guardrails” on intraday charts.
When weekly and monthly bands cluster → high-confluence zone.
Trade Playbook
Trend Day: Hold above +1 → target +2. Break below −1 → target −2.
Range Day: Fade first test of ±2, scalp toward ±1 or midpoint.
Catalyst/News Day: Use with caution—levels provide context, not barriers.
Risk Management
Place stops just outside the band you’re trading against.
Scale profits at the next inner level (e.g., short from +2, cover partial at +1).
Runners can trail to the midpoint or opposite side.
Why It Works
ATR measures volatility—how far price tends to travel in a given period.
Anchoring to prior highs and lows captures where real supply/demand last clashed.
Combining the two gives levels that are statistically relevant, widely observed, and psychologically sticky.
Trading books from Mark Douglas (Trading in the Zone), Jared Tendler (The Mental Game of Trading), and Oliver Kell (Victory in Stock Trading) all stress the importance of having objective, repeatable reference points. These levels deliver that discipline—removing guesswork and reducing emotional trading
ABS NR — Fail-Safe Confirm (v4.2.2)
# ABS NR — Fail-Safe Confirm (v4.2.2)
## What it is (quick take)
**ABS NR FS** is a **non-repainting “arm → confirm” entry framework** for intraday and swing execution. It blends:
* **Regime** (EMA stack + 60-min slope),
* **Location** (Keltner basis/edges),
* **Stretch** (session-anchored **VWAP Z-score**),
* **Momentum gating** (TSI cross/slope),
* **Guards** (session window, minimum ATR%, gap filter, optional market alignment).
You’ll see a **small dot** when a setup is **armed** (candidate) and a **triangle** when that setup **confirms** within a user-defined number of bars. A **gray “X”** marks a timeout (candidate canceled).
> Tip: This entry tool works best when paired with a trend context filter and a dedicated exit tool.
---
## How to use it (operational workflow)
1. **Read the regime**
* **Bull trend**: fast > slow > long EMA **and** 60-min slope up.
* **Bear trend**: fast < slow < long EMA **and** 60-min slope down.
* **Range**: neither bull nor bear.
2. **Wait for a candidate (dot)**
Two families:
* **Reclaim (trend-following):** price crosses the **KC basis** with acceptable |Z| (not overstretched) and passes the TSI gate.
* **Fade (range-revert):** price **pokes a KC band**, prints a **reversal wick**, |Z| is stretched, and TSI gate agrees.
3. **Trade the confirmation (triangle)**
The confirm must occur **within N bars** and follow your chosen **Confirm mode** logic (see Inputs). If confirmation doesn’t arrive in time, an **X** cancels the candidate.
4. **Use guards to avoid junk**
Session windows (US focus), minimum ATR%, gap guard, and optional **market alignment** (e.g., SPY above EMA20 for longs).
5. **Manage the position**
* Entries: take **triangles** in the direction of your playbook (reclaims with trend; fades in clean ranges).
* Filters and exits: use your own process or pair with a trend/exit companion.
---
## Visual semantics & alerts
* **Candidate L / S (dot)** → a setup armed on this bar.
* **CONFIRM L / S (triangle)** → actionable signal that met confirm rules within your time window.
* **Cancel L / S (X)** → candidate expired without confirmation; ignore the dot.
**Alerts (stable names for automation):**
* **ABS FS — Confirmed** → fires on confirmed long or short.
* **ABS FS — Candidate Armed** → fires as a candidate arms.
---
## Non-repainting behavior (why signals don’t repaint)
* All HTF requests use **lookahead\_off**.
* With **Strict NR = true**, the 60-min slope uses the **prior completed** 60-min bar and arming/confirming only occurs on confirmed bars.
* Confirmation triangles finalize on bar close.
* If you disable strictness, signals may appear slightly earlier but with more intrabar sensitivity.
---
## Inputs reference (what each control does and the trade-offs)
### A) Behavior / Modes
**Mode** (`Turbo / Aggressive / Balanced / Conservative`)
Changes multiple internal thresholds:
* **Turbo** → most signals; relaxes prior-bar break & VWAP-side checks and time/vol/gap guards. Highest frequency, highest noise.
* **Aggressive** → more signals than Balanced, fewer than Turbo.
* **Balanced** → default; steady trade-off of frequency vs. quality.
* **Conservative** → tightens |Z| and other checks; fewest but cleanest signals.
**Strict NR (bar close + prior HTF 60m)**
* **true** = safer: uses prior 60-min slope; arms/confirms on confirmed bars → **fewer/cleaner** signals.
* **false** = earlier and more reactive; slightly noisier.
---
### B) Keltner Channel (location engine)
* **KC EMA Length (`kcLen`)**
Higher → smoother basis (fewer basis crosses). Lower → snappier basis (more crosses).
* **ATR Length (`atrLen`)**
Higher → steadier band width; Lower → more reactive band width.
* **KC ATR Mult (`kcMult`)**
Higher → wider bands (fewer edge pokes → fewer fades). Lower → narrower (more fades).
---
### C) Trend & HTF slope
* **Trend EMA Fast/Slow/Long (`emaFastLen / emaSlowLen / emaLongLen`)**
Larger = slower regime flips (fewer reclaims); smaller = faster flips (more reclaims).
* **HTF EMA Len (60m) (`htfLen`)**
Larger = steadier HTF slope (fewer signals); smaller = more sensitive (more signals).
---
### D) VWAP Z-Score (stretch / mean-revert logic)
* **VWAP Z-Length (`zLen`)**
Window for Z over session-anchored VWAP distance. Larger = smoother |Z| (fewer fades/re-entries). Smaller = more reactive (more).
* **Range Fade |Z| (base) (`zFadeBase`)**
Minimum |Z| to allow **fades** in ranges. Raise to demand more stretch (fewer fades). Lower to take more fades.
* **Max |Z| Trend Re-entry (base) (`maxZTrendBase`)**
Caps how stretched price can be and still permit **reclaims** with trend. Lower = stricter (avoid chases). Higher = will chase further.
---
### E) TSI Momentum Gate
* **TSI Long/Short/Signal (`tsiLong / tsiShort / tsiSig`)**
Larger = smoother/laggier momentum; smaller = snappier.
* **TSI gate (`CrossOnly / CrossOrSlope / Off`)**
* **CrossOnly**: require TSI cross of its signal (strict).
* **CrossOrSlope**: cross *or* favorable slope (balanced default).
* **Off**: no momentum gate (most signals, most noise).
---
### F) Guards (filters to avoid low-quality tape)
* **US focus 09:35–10:30 & 14:00–15:45 (base) (`useTimeBase`)**
`true` limits to high-quality windows. `false` trades all session.
* **Skip N bars after 09:30 ET (`skipFirst`)**
Skips the open scramble. Larger = skip longer.
* **Min volatility ATR% (base)** = `useVolMinBase` + `atrPctMinBase`
Requires `ATR(10)/Close*100 ≥ atrPctMinBase`. Raise threshold to avoid dead tape; lower to accept quieter sessions.
* **Gap guard (base)** = `gapGuardBase` + `gapMul`
Blocks signals when the opening gap exceeds `gapMul * ATR`. Increase `gapMul` to allow more gapped opens; decrease to be stricter.
---
### G) Visuals & Sides
* **Plot Keltner (`plotKC`)** → show/hide basis & bands.
* **Show Longs / Show Shorts** → enable/disable each side.
---
### H) Fail-Safe Confirmation
* **Confirm mode (`BreakHighOnly / BreakHigh+Hold / TwoBarImpulse`)**
* **BreakHighOnly**: confirm by taking out the armed bar’s extreme. Fastest, most frequent.
* **BreakHigh+Hold**: must **break**, have **body ≥ X·ATR**, **and** hold above/below the basis → higher quality, fewer signals.
* **TwoBarImpulse**: decisive follow-through vs. prior bar with **body ≥ X·ATR** → momentum-biased confirmations.
* **Confirm within N bars (`confirmBars`)**
Confirmation window size. Smaller = faster validation; larger = more patience (can be later).
* **Impulse body ≥ X·ATR (`impulseBodyATR`)**
Raise for stronger confirmations (fewer weak triangles). Lower to accept lighter pushes.
* **Require market alignment (`needMarket`) + `marketTicker`**
When enabled: Longs require **market > EMA20 (5m)**; Shorts require **market < EMA20 (5m)**.
* **Diagnostics: Show debug letters (`debug`)**
Tiny “B/C” audit marks for base/confirm while tuning.
---
## Tuning recipes (quick, practical)
* **If you’re getting chopped:**
* Set **Mode = Conservative**
* **Confirm mode = BreakHigh+Hold**
* Raise **impulseBodyATR** (e.g., 0.45)
* Keep **needMarket = true**
* Keep **Strict NR = true**
* **If you need more signals:**
* **Mode = Aggressive** (or Turbo if you accept more noise)
* **Confirm mode = BreakHighOnly**
* Lower **impulseBodyATR** (0.25–0.30)
* Increase **confirmBars** to 3
* **Range-day focus (fades):**
* Keep session guard on
* Raise **zFadeBase** to demand real stretch
* Keep **maxZTrendBase** moderate (don’t chase)
* **Trend-day focus (reclaims):**
* Slightly **lower `maxZTrendBase`** (avoid chasing excessive stretch)
* Use **CrossOrSlope** TSI gating
* Consider turning **needMarket** on
---
## Best practices & notes
* **Instrument specificity:** Tune Z, TSI, and guards per symbol and timeframe.
* **Session awareness:** Session filter uses **exchange-local** time; adjust for non-US markets.
* **Automation:** Use the two provided alert names; they’re stable.
* **Risk management:** Confirmation improves quality but doesn’t remove risk. Always pre-define stop/size logic.
---
## Suggested starting point (balanced profile)
* **Mode = balanced**
* **Strict NR = true**
* **Confirm mode = BreakHigh+Hold**
* **confirmBars = 2**
* **impulseBodyATR ≈ 0.35**
* **needMarket = off** (turn on for extra confluence)
* Leave Keltner/TSI defaults; then nudge `zFadeBase` and `maxZTrendBase` to match your symbol.
---
*This tool is a signal generator, not a broker or strategy. Validate on your markets/timeframes and integrate with your risk plan.*
Rainbow Price Chart This indicator is a technical and on-chain analysis tool for Bitcoin, designed to help investors better understand the different phases of the market cycle and underlying sentiment. It directly overlays on the price chart (overlay=true).
Indicator Name: "Rainbow Price Chart & V/T Ratio Signals"
General Purpose:
It combines two popular methodologies for visualizing Bitcoin's value and sentiment: the classic "Rainbow Price Chart" and signals derived from the "Value per Transaction Ratio" (V/T Ratio) based on blockchain data. It is ideal for long-term investors looking for strategic entry/exit points.
Main Components:
Rainbow Price Chart:
Concept: Divides Bitcoin's price range into different market "sentiment zones" (e.g., "Bubble Zone," "FOMO Zone," "HODL Zone," "Accumulation Zone," "Buy Zone," "Fire Sale Zone") using colored bands. These bands are calculated as ascending and descending multiples of a base Exponential Moving Average (EMA), configurable by default to 200 periods.
Visualization: The zones are represented with transparent color fills on the price chart. A detailed legend in the top right corner of the chart explains the meaning of each color and sentiment zone.
Important Note: This type of chart is designed to be viewed and analyzed correctly on a logarithmic price scale. The indicator includes a visual reminder to activate this scale.
Value per Transaction (V/T) Ratio Signals:
Concept: Measures the average value per transaction on the Bitcoin blockchain by dividing the total transacted volume in USD by the number of transactions. This ratio is smoothed with an Exponential Moving Average (by default, 7 periods) and is framed within a dynamic Linear Regression Channel (LRC) based on standard deviation.
Signal Generation: Based on the position of the smoothed V/T Ratio within this LRC channel, the indicator generates signals directly on the price chart, such as:
"BOTTOM": Low price, V/T Ratio in the lower band of the LRC.
"SEMI-LOW" / "SEMI-HIGH": Intermediate phases within the channel.
"ATH" (All-Time High): Potentially overvalued price, V/T Ratio in the upper band of the LRC.
On-Chain Data: The indicator requests external daily on-chain data for total transacted volume (TVTVR) and number of transactions (NTRAN) from the Bitcoin blockchain.
Diagnostic Panes: Includes plots of the raw on-chain data (volume and number of transactions) in a separate pane, which are useful for debugging or verifying the data source. The lines for the V/T Ratio itself and its LRC channel are not plotted by default but can be activated in the code for deeper analysis.
Ideal for:
Bitcoin investors and "hodlers" who desire a visual tool that combines price-based market cycle context with fundamental signals derived from on-chain activity, to help identify key moments for accumulation or potential distribution.
Considerations:
Relies on the availability of external on-chain data (QUANDL:BCHAIN) within TradingView.
Functions best on a daily timeframe.
Dynamic Flow Ribbons [BigBeluga]🔵 OVERVIEW
A dynamic multi-band trend visualization system that adapts to market volatility and reveals trend momentum with layered ribbon channels.
Dynamic Flow Ribbons transforms price action into flowing trend bands that expand and contract with volatility. It not only shows the active directional bias but also visualizes how strong or weak the trend is through layered ribbons, making it easier to assess trend quality and structure.
🔵 CONCEPTS
Uses an adaptive trend detection system built on a volatility envelope derived from an EMA of the average price (HLC3).
Measures volatility using a long-period average of the high-low range, which scales the envelope width dynamically.
Trend direction flips when the average price crosses above or below these envelopes.
Ribbons form around the trend line to show how far price is stretching or compressing relative to the mean.
🔵 FEATURES
Volatility-Based Trend Line:
A thick, color-coded line tracks the current trend with smoother transitions between phases.
Multi-Layered Flow Ribbons:
Up to 10 bands (5 above and 5 below) radiate outward from the upper and lower envelopes, reflecting volatility strength and direction.
Trend Coloring & Transitions:
Ribbons and candles are dynamically colored based on trend direction— green for bullish , orange for bearish . Transparency fades with distance from the core trend band.
Real-Time Responsiveness:
Ribbon structure and trend shifts update in real time, adapting instantly to fast market changes.
🔵 HOW TO USE
Use the color and thickness of the core trend line to follow directional bias.
When ribbons widen symmetrically, it signals strong trend momentum .
Narrowing or overlapping ribbons can suggest consolidation or transition zones .
Combine with breakout systems or volume tools to confirm impulsive or corrective phases .
Adjust the “Length” (factor) input to tune sensitivity—higher values smooth trends more.
🔵 CONCLUSION
Dynamic Flow Ribbons offers a sleek and insightful view into trend strength and structure. By visualizing volatility expansion with directional flow, it becomes a powerful overlay for momentum traders, swing strategists, and trend followers who want to stay ahead of evolving market flows
Oculus Ultra Parallel S/R Channel**Oculus Ultra Parallel S/R Channel**
*Version 1.0 | Pine Script v6*
**Overview**
This indicator overlays a statistically-driven support/resistance channel on your chart by fitting a linear regression (median) line and plotting parallel bands at a configurable multiple of standard deviation. It adapts dynamically to both trend and volatility, highlights potential reaction zones, and offers optional alerts when price touches key levels.
**Key Features**
* **Median Regression Line**
Fits a best-fit line through the chosen lookback of price data, showing the underlying trend.
* **Volatility-Based Bands**
Upper and lower bands offset by *N*× standard deviation of regression residuals, capturing dynamic S/R zones.
* **Dynamic Coloring**
* Median line turns **teal** when sloping up, **orange** when sloping down.
* Bands tinted green or red depending on their position relative to the median.
* **Channel Fill**
Optional shaded area between the bands for immediate visual context.
* **Touch Alerts**
Precision alerts and on-chart markers when price touches the support or resistance band, with configurable tick tolerance.
* **Clean Layout**
Minimal lines and plots to avoid chart clutter, adjustable via toggle inputs.
**How to Use**
1. **Apply the Script** – Add to any timeframe in overlay mode.
2. **Configure Inputs** –
* **Channel Length**: Number of bars for regression and volatility calculation.
* **Deviation Factor**: Multiplier for band width (in standard deviations).
* **Show/Hide Elements**: Toggle median line, bands, fill, and touch alerts.
* **Color by Slope**: Enable slope-based median coloring.
* **Touch Tolerance**: Number of ticks within which a band touch is registered.
3. **Interpret the Channel** –
* **Trend**: Follow the slope and color of the median line.
* **Support/Resistance**: Bands represent dynamic zones where price often reacts.
* **Alerts**: Use touch markers or alert pop-ups to time entries or exits at band levels.
**Inputs**
* **Channel Length** (default: 100)
* **Deviation Factor** (default: 1.0)
* **Show Median Regression Line** (true/false)
* **Show Channel Bands** (true/false)
* **Fill Between Bands** (true/false)
* **Color Median by Slope** (true/false)
* **Alert on Band Touch** (true/false)
* **Touch Tolerance (ticks)** (default: 2)
**Version History**
* **1.0** – Initial release with dynamic regression channel, slope coloring, band fill, and touch alerts.
**Disclaimer**
This indicator is intended for educational purposes. Always backtest with your own settings and apply sound risk management before trading live.
BBands Channels with EMAs# **BBands Channels with EMAs Indicator Explanation**
---
## **📌 Feature Overview**
### **1. Bollinger Bands**
- **Basis Line**: 160-period SMA (adjustable)
- **Inner Bands**:
- **Upper**: Basis + 2× Standard Deviation
- **Lower**: Basis - 2× Standard Deviation
- **Outer Bands**:
- **Upper Top**: Basis + 3× Standard Deviation
- **Lower Low**: Basis - 3× Standard Deviation
- **Fill Effect**: Semi-transparent black fill between inner and outer bands
### **2. Exponential Moving Averages (EMAs)**
| Period | Purpose | Line Style |
|--------------|-----------------------------|------------------|
| **EMA 27** | Short-term trend | Thin line |
| **EMA 120** | Short-to-medium-term trend | Medium line |
| **EMA 200** | Medium-term trend | Medium line |
| **EMA 1120** | Ultra-long-term trend | Thick line |
---
## **⚙️ Parameter Settings**
### **Bollinger Bands**
| Parameter | Default | Description |
|---------------|---------|--------------------------------------|
| `length` | 160 | SMA calculation period |
| `mult` | 2.0 | Standard deviation multiplier (inner bands) |
| `multOuter` | 3.0 | Standard deviation multiplier (outer bands) |
| `offset` | 0 | Time offset for plots (±500 bars) |
### **Exponential Moving Averages (EMAs)**
| Parameter | Default | Description |
|-----------------|---------|---------------------------|
| `ema1Length` | 27 | EMA 1 period |
| `ema2Length` | 120 | EMA 2 period |
| `ema3Length` | 200 | EMA 3 period |
| `ema4Length` | 1120 | EMA 4 period |
---
## **📊 Use Cases**
### **1. Trend Confirmation**
- **Bullish Trend**: Price above EMA200 + Bollinger Band expansion
- **Bearish Trend**: Price below EMA200 + Bollinger Band expansion
### **2. Overbought/Oversold Signals**
- **Upper Band Touch**: Price reaches Upper Top → Potential overbought
- **Lower Band Touch**: Price reaches Lower Low → Potential oversold
### **3. Volatility Strategies**
- **Band Squeeze**: Narrowing gap between bands → Breakout warning
- **Band Expansion**: Price breaks outer band → Trend acceleration
---
**✅ Summary**
This indicator combines **Bollinger Bands + Multi-period EMAs** for:
- Trend tracking
- Volatility analysis
- Multi-timeframe strategies
---
# **BBands Channels with EMAs 指標說明**
---
## **📌 功能概述**
### **1. 布林通道 (Bollinger Bands)**
- **基礎線 (Basis Line)**: 160週期SMA（可調整）
- **內通道 (Inner Bands)**:
- 上軌 (Upper): 基礎線 + 2倍標準差
- 下軌 (Lower): 基礎線 - 2倍標準差
- **外通道 (Outer Bands)**:
- 上外軌 (Upper Top): 基礎線 + 3倍標準差
- 下外軌 (Lower Low): 基礎線 - 3倍標準差
- **填充效果**: 內外通道間半透明黑色填充
### **2. 指數移動平均線 (EMAs)**
| 週期 | 用途 | 線條樣式 |
|-------------|-------------------|-----------------|
| **EMA 27** | 短期趨勢 | 細線 |
| **EMA 120** | 中短期趨勢 | 中等線 |
| **EMA 200** | 中期趨勢 | 中等線 |
| **EMA 1120**| 超長期趨勢 | 粗線 |
---
## **⚙️ 參數設定**
### **布林通道 (Bollinger Bands)**
| 參數名 | 預設值 | 說明 |
|-------------|--------|---------------------------|
| `length` | 160 | SMA計算週期 |
| `mult` | 2.0 | 內通道標準差倍數 |
| `multOuter` | 3.0 | 外通道標準差倍數 |
| `offset` | 0 | 線圖時間偏移（±500根K棒） |
### **指數移動平均線 (EMAs)**
| 參數名 | 預設值 | 說明 |
|----------------|---------|-------------------|
| `ema1Length` | 27 | 第一條EMA週期 |
| `ema2Length` | 120 | 第二條EMA週期 |
| `ema3Length` | 200 | 第三條EMA週期 |
| `ema4Length` | 1120 | 第四條EMA週期 |
---
## **📊 應用場景**
### **1. 趨勢確認**
- **多頭趨勢**: 價格在EMA200上方 + 布林通道擴張
- **空頭趨勢**: 價格在EMA200下方 + 布林通道擴張
### **2. 超買超賣信號**
- **觸及外軌**: 價格觸碰Upper Top → 可能超買
- **觸及下軌**: 價格觸碰Lower Low → 可能超賣
### **3. 波動率策略**
- **通道收窄**: 內外通道間距縮小 → 突破預警
- **通道擴張**: 價格突破外軌 → 趨勢加速
---
**✅ 總結**
本指標透過**布林通道+多週期EMA**的組合，適用於：
- 趨勢跟蹤
- 波動率分析
- 多時間框架策略
Stochastic Overlay - Regression Channel (Zeiierman)█ Overview
The Stochastic Overlay – Regression Channel (Zeiierman) is a next-generation visualization tool that transforms the traditional Stochastic Oscillator into a dynamic price-based overlay.
Instead of leaving momentum trapped in a lower subwindow, this indicator projects the Stochastic oscialltor directly onto price itself — allowing traders to visually interpret momentum, overbought/oversold conditions, and market strength without ever taking their eyes off price action.
⚪ In simple terms:
▸ The Bands = The Stochastic Oscillator — but on price.
▸ The Midline = Stochastic 50 level
▸ Upper Band = Stochastic Overbought Threshold
▸ Lower Band = Stochastic Oversold Threshold
When the price moves above the midline → it’s the same as the oscillator moving above 50
When the price breaks above the upper band → it’s the same as Stochastic entering overbought.
When the price reaches the lower band →, think of it like Stochastic being oversold.
This makes market conditions visually intuitive. You’re literally watching the oscillator live on the price chart.
█ How It Works
The indicator layers 3 distinct technical elements into one clean view:
⚪ Stochastic Momentum Engine
Tracks overbought/oversold conditions and directional strength using:
%K Line → Momentum of price
%D Line → Smoothing filter of %K
Overbought/Oversold Bands → Highlight potential reversal zones
⚪ Volatility Adaptive Bands
Dynamic bands plotted above and below price using:
ATR * Stochastic Scaling → Creates wider bands during volatile periods & tighter bands in calm conditions
Basis → Moving average centerline (EMA, SMA, WMA, HMA, RMA selectable)
This means:
→ In strong trends: Bands expand
→ In consolidations: Bands contract
⚪ Regression Channel
Projects trend direction with different models:
Logarithmic → Captures non-linear growth (perfect for crypto or exponential stocks)
Linear → Classic regression fit
Adaptive → Dynamically adjusts sensitivity
Leading → Projects trend further ahead (aggressive mode)
Channels include:
Midline → Fair value trend
Upper/Lower Bounds → Deviation-based support/resistance
⚪ Heatmap - Bull & Bear Power Strength
Visual heatmeter showing:
% dominance of bulls vs bears (based on close > or < Band Basis)
Automatic normalization regardless of timeframe
Table display on-chart for quick visual insight
Dynamic highlighting when extreme levels are reached
⚪ Trend Candlestick Coloring
Bars auto-color based on trend filter:
Above Basis → Bullish Color
Below Basis → Bearish Color
█ How to Use
⚪ Trend Trading
→ Use Band direction + Regression Channel to identify trend alignment
→ Longs favored when price holds above the Basis
→ Shorts favored when price stays below the Basis
→ Use the Bull & Bear heatmap to asses if the bulls or the bears are in control.
⚪ Mean Reversion
→ Look for price to interact with Upper or Lower Band extremes
→ Stochastic reaching OB/OS zones further supports reversals
⚪ Momentum Confirmation
→ Crossovers between %K and %D can confirm continuation or divergence signals
→ Especially powerful when happening at band boundaries
⚪ Strength Heatmap
→ Quickly visualize current buyer vs seller control
→ Sharp spikes in Bull Power = Aggressive buying
→ Sharp spikes in Bear Power = Heavy selling pressure
█ Why It Useful
This is not a typical Stochastic or regression tool. The tool is designed for traders who want to:
React dynamically to price volatility
Map momentum into volatility context
Use adaptive regression channels across trend styles
Visualize bull vs bear power in real-time
Follow trends with built-in reversal logic
█ Settings
Stochastic Settings
Stochastic Length → Period of calculation. Higher = smoother, Lower = faster signals.
%K Smoothing → Smooths the Stochastic line itself.
%D Smoothing → Smooths the moving average of %K for slower signals.
Stochastic Band
Band Length → Length of the Moving Average Basis.
Volatility Multiplier → Controls band width via ATR scaling.
Band Type → Choose MA type (EMA, SMA, WMA, HMA, RMA).
Regression Channel
Regression Type → Logarithmic / Linear / Adaptive / Leading.
Regression Length → Number of bars for regression calculation.
Heatmap Settings
Heatmap Length → Number of bars to calculate bull/bear dominance.
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Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
[3Commas] Signal BuilderSignal Builder is a tool designed to help traders create custom buy and sell signals by combining multiple technical indicators. Its flexibility allows traders to set conditions based on their specific strategy, whether they’re into scalping, swing trading, or long-term investing. Additionally, its integration with 3Commas bots makes it a powerful choice for those looking to automate their trades, though it’s also ideal for traders who prefer receiving alerts and making manual decisions.
🔵 How does Signal Builder work?
Signal Builder allows users to define custom conditions using popular technical indicators, which, when met, generate clear buy or sell signals. These signals can be used to trigger TradingView alerts, ensuring that you never miss a market opportunity. Additionally, all conditions are evaluated using "AND" logic, meaning signals are only activated when all user-defined conditions are met. This increases precision and helps avoid false signals.
🔵 Available indicators and recommended settings:
Signal Builder provides access to a wide range of technical indicators, each customizable to popular settings that maximize effectiveness:
RSI (Relative Strength Index): An oscillator that measures the relative strength of price over a specific period. Traders typically configure it with 14 periods, using levels of 30 (oversold) and 70 (overbought) to identify potential reversals.
MACD (Moving Average Convergence Divergence): A key indicator tracking the crossover between two moving averages. Common settings include 12 and 26 periods for the moving averages, with a 9-period signal line to detect trend changes.
Ultimate Oscillator: Combines three different time frames to offer a comprehensive view of buying and selling pressure. Popular settings are 7, 14, and 28 periods.
Bollinger Bands %B: Provides insight into where the price is relative to its upper and lower bands. Standard settings include a 20-period moving average and a standard deviation of 2.
ADX (Average Directional Index): Measures the strength of a trend. Values above 25 typically indicate a strong trend, while values below suggest weak or sideways movement.
Stochastic Oscillator: A momentum indicator comparing the closing price to its range over a defined period. Popular configurations include 14 periods for %K and 3 for %D smoothing.
Parabolic SAR: Ideal for identifying trend reversals and entry/exit points. Commonly configured with a 0.02 step and a 0.2 maximum.
Money Flow Index (MFI): Similar to RSI but incorporates volume into the calculation. Standard settings use 14 periods, with levels of 20 and 80 as oversold and overbought thresholds.
Commodity Channel Index (CCI): Measures the deviation of price from its average. Traders often use a 20-period setting with levels of +100 and -100 to identify extreme overbought or oversold conditions.
Heikin Ashi Candles: These candles smooth out price fluctuations to show clearer trends. Commonly used in trend-following strategies to filter market noise.
🔵 How to use Signal Builder:
Configure indicators: Select the indicators that best fit your strategy and adjust their settings as needed. You can combine multiple indicators to define precise entry and exit conditions.
Define custom signals: Create buy or sell conditions that trigger when your selected indicators meet the criteria you’ve set. For example, configure a buy signal when RSI crosses above 30 and MACD confirms with a bullish crossover.
TradingView alerts: Set up alerts in TradingView to receive real-time notifications when the conditions you’ve defined are met, allowing you to react quickly to market opportunities without constantly monitoring charts.
Monitor with the panel: Signal Builder includes a visual panel that shows active conditions for each indicator in real time, helping you keep track of signals without manually checking each indicator.
🔵 3Commas integration:
In addition to being a valuable tool for any trader, Signal Builder is optimized to work seamlessly with 3Commas bots through Webhooks. This allows you to automate your trades based on the signals you’ve configured, ensuring that no opportunity is missed when your defined conditions are met. If you prefer automation, Signal Builder can send buy or sell signals to your 3Commas bots, enhancing your trading process and helping you manage multiple trades more efficiently.
🔵 Example of use:
Imagine you trade in volatile markets and want to trigger a sell signal when:
Stochastic Oscillator indicates overbought conditions with the %K value crossing below 80.
Bollinger Bands %B shows the price has surpassed the upper band, suggesting a potential reversal.
ADX is below 20, indicating that the trend is weak and could be about to change.
With Signal Builder , you can configure these conditions to trigger a sell signal only when all are met simultaneously. Then, you can set up a TradingView alert to notify you as soon as the signal is activated, giving you the opportunity to react quickly and adjust your strategy accordingly.
👨🏻💻💭 If this tool helps your trading strategy, don’t forget to give it a boost! Feel free to share in the comments how you're using it or if you have any questions.
_________________________________________________________________
The information and publications within the 3Commas TradingView account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc.
MAC Investor V3.0 [VK]This indicator combines multiple functionalities to assist traders in making informed decisions. It primarily uses Heikin Ashi candles, Moving Averages, and a Price Action Channel (PAC) to provide signals for entering and exiting trades. Here's a detailed breakdown:
Inputs
MAC Length: Sets the length for the PAC calculation.
Use Heikin Ashi Candles: Option to use Heikin Ashi candles for calculations.
Show Coloured Bars around MAC: Option to color bars based on their relation to the PAC.
Show Long/Short Signals: Options to display long and short signals.
Show MAs? : Option to show moving averages on the chart.
Show MAs Trend at the Bottom?: Option to show trend signals at the bottom of the chart.
MA Lengths: Length settings for three different moving averages.
Change MA Color Based on Direction?: Option to change the color of moving averages based on trend direction.
MA Higher TimeFrame: Allows setting a higher timeframe for moving averages.
Show SL-TP Lines: Option to display Stop Loss and Take Profit lines.
SL/TP Percentages: Set the percentages for Stop Loss and three levels of Take Profit.
Calculations and Features
Heikin Ashi Candles: Calculations are based on Heikin Ashi candle data if selected.
Price Action Channel (PAC): Uses Exponential Moving Averages (EMA) of the high, low, and close to create a channel.
Bar Coloring: Colors the bars based on their position relative to the PAC.
Long and Short Signals: Uses crossovers of the close price and PAC upper/lower bands to generate signals.
Moving Averages (MA): Plots three moving averages and colors them based on their trend direction.
Overall Trend Indicators: Uses triangles at the bottom of the chart to show the overall trend of the MAs.
Stop Loss and Take Profit Levels: Calculates and plots these levels based on user-defined percentages from the entry price.
Alerts: Provides alerts for long and short signals.
Use Cases and How to Use
Identifying Trends: The PAC helps to identify the trend direction. If the closing price is above the PAC upper band, it suggests an uptrend; if below the lower band, it suggests a downtrend.
Entering Trades: Use the long and short signals to enter trades. A long signal is generated when the closing price crosses above the PAC upper band, and a short signal is generated when it crosses below the PAC lower band.
Exit Strategies: Utilize the Stop Loss (SL) and Take Profit (TP) levels to manage risk and lock in profits. These levels are automatically calculated based on the entry price and user-defined percentages.
Trend Confirmation with MAs: The moving averages provide additional confirmation of the trend. When all three MAs are trending in the same direction (e.g., all green for an uptrend), it adds confidence to the trade signal.
Overall Trend Indicators: The triangles at the bottom of the chart show the overall trend direction of the MAs:
Green Triangle: All three MAs are trending upwards, indicating a strong uptrend.
Red Triangle: All three MAs are trending downwards, indicating a strong downtrend.
Yellow Triangle: Mixed signals from the MAs, indicating no clear trend.
Bar Coloring for Quick Analysis: The colored bars give a quick visual cue about the market condition, aiding in faster decision-making.
Alerts: Set up alerts to get notified when a long or short signal is generated, allowing you to act promptly without constantly monitoring the chart.
Maximizing Profit
To maximize profit with this indicator:
Follow the Signals: Use the long and short signals to time your entries. Ensure you follow the trend indicated by the PAC and MAs.
Risk Management: Always set your Stop Loss and Take Profit levels to manage risk. This will help you cut losses early and secure profits.
Confirm with MAs: Look for confirmation from the moving averages. When all MAs align with the signal, it indicates a stronger trend.
Overall Trend Indicators: Pay attention to the triangles at the bottom for overall trend confirmation. Only enter trades when the overall trend is in your favor.
Heikin Ashi for Smoothing: Use Heikin Ashi candles for smoother trends and fewer false signals.
Backtesting: Test the indicator on historical data to understand its performance and adjust settings as necessary.
Adapt to Market Conditions: Adjust the lengths of PAC and MAs based on the market's volatility and timeframe you are trading on.
How to Use the Indicator
Add to Chart: Add the indicator to your TradingView chart.
Configure Settings: Customize the input settings to fit your trading strategy and timeframe.
Monitor Signals: Watch for long and short signals and observe the trend direction with the PAC and MAs.
Check Overall Trend: Look at the triangles at the bottom of the chart to see the overall trend direction of the MAs.
Set Alerts: Configure alerts to get notified of new signals.
Manage Trades: Use the SL and TP levels to manage your trades effectively.
Bitcoin Rainbow WaveBitcoin ultimate price model:
1. Power Law + 2. Rainbow Narrowing Bands + 3. Halving Cycle Harmonic Wave + 3. Wave bands
This powerful tool is designed to help traders of all levels understand and navigate the Bitcoin market. It works exclusively with BTC on any timeframe, but looks best on weekly or daily charts. The indicator provides valuable insights into historical price behavior and offers forecasts for the next decade, making it essential for both mid-term and long-term strategies.
How the Model Works
Power Law (Logarithmic Trend) : The green line represents the expected long-term price trajectory of Bitcoin based on a logarithmic regression model (power law). This suggests that Bitcoin's price generally increases as a power of 5.44 over time passed.
Rainbow Chart : Colored bands around the power law trend line illustrate a range of potential price fluctuations. The bands narrow esponentially over time, indicating increasing model accuracy as Bitcoin matures. This chart visually identifies overbought and oversold zones, as well as fair value zones.
Blue Zone : Below the power law trend, indicating an undervalued condition and a potential buying zone.
Green Zone : Around the power law trend, suggesting fair value.
Yellow Zone : Above the power law trend, but within the rainbow bands. Exercise caution, as the price may be overextended.
Red Zone : Far above the power law trend, indicating strong overbought conditions. Consider taking profits or reducing exposure.
Halving Cycle Wave : The fuchsia line represents the cyclical wave component of the model, tied to Bitcoin's halving events (approximately every four years). This wave accounts for the price fluctuations that typically occur around halvings, with price tending to increase leading up to a halving and correct afterwards. The amplitude of the wave decreases over time as the impact of halvings potentially lessens. Additional bands around the wave show the expected range of price fluctuations, aiding traders in making informed decisions.
Customizing Parameters
You can fine-tune the model's appearance by adjusting these input parameters:
show Power Law (true/false): Toggle visibility of the power law trend line.
show Wave (true/false): Toggle visibility of the halving cycle wave.
show Rainbow Chart (true/false): Toggle visibility of the rainbow bands.
show Block Marks (true/false): Toggle visibility of the 70,000 block interval markers.
Using the Model in Your Trading Strategy
Combine this indicator with technical analysis, fundamental analysis, and risk management techniques to develop a comprehensive Bitcoin trading strategy. The model can help you identify potential entry and exit points, assess market sentiment, and manage risk based on Bitcoin's position relative to the power law trend, halving cycle wave, and rainbow chart zones.
MBAND 200 4H BTC/USDT - By MGS-TradingMBAND 200 4H BTC/USDT with RSI and Volume by MGS-Trading: A Neural Network-Inspired Indicator
Introduction:
The MBAND 200 4H BTC/USDT with RSI and Volume represents a groundbreaking achievement in the integration of artificial intelligence (AI) into cryptocurrency market analysis. Developed by MGS-Trading, this indicator is the culmination of extensive research and development efforts aimed at leveraging AI's power to enhance trading strategies. By synthesizing neural network concepts with traditional technical analysis, the MBAND indicator offers a dynamic, multi-dimensional view of the market, providing traders with unparalleled insights and actionable signals.
Innovative Approach:
Our journey to create the MBAND indicator began with a simple question: How can we mimic the decision-making prowess of a neural network in a trading indicator? The answer lay in the weighted aggregation of Exponential Moving Averages (EMAs) from multiple timeframes, each serving as a unique input akin to a neuron in a neural network. These weights are not arbitrary; they were painstakingly optimized through backtesting across various market conditions to ensure they reflect the significance of each timeframe’s contribution to overall market dynamics.
Core Features:
Neural Network-Inspired Weights: The heart of the MBAND indicator lies in its AI-inspired weighting system, which treats each timeframe’s EMA as an input node in a neural network. This allows the indicator to process complex market data in a nuanced and sophisticated manner, leading to more refined and informed trading signals.
Multi-Timeframe EMA Analysis: By analyzing EMAs from 15 minutes to 3 days, the MBAND indicator captures a comprehensive snapshot of market trends, enabling traders to make informed decisions based on a broad spectrum of data.
RSI and Volume Integration: The inclusion of the Relative Strength Index (RSI) and volume data adds layers of confirmation to the signals generated by the EMA bands. This multi-indicator approach helps in identifying high-probability setups, reinforcing the neural network’s concept of leveraging multiple data points for decision-making.
Usage Guidelines:
Signal Interpretation: The MBAND bands provide a visual representation of the market’s momentum and direction. A price moving above the upper band signals strength and potential continuation of an uptrend, while a move below the lower band suggests weakness and a possible downtrend.
Overbought/Oversold Conditions: The RSI component identifies when the asset is potentially overbought (>70) or oversold (<30). Traders should watch for these conditions near the MBAND levels for potential reversal opportunities.
Volume Confirmation: An increase in volume accompanying a price move towards or beyond an MBAND level serves as confirmation of the strength behind the move. This can indicate whether a breakout is likely to sustain or if a reversal has substantial backing.
Strategic Entry and Exit Points: Combine the MBAND readings with RSI and volume indicators to pinpoint strategic entry and exit points. For example, consider entering a long position when the price is near the lower MBAND, RSI indicates oversold conditions, and there is a notable volume increase.
About MGS-Trading:
At MGS-Trading, we are passionate about harnessing the transformative power of AI to revolutionize cryptocurrency trading. Our indicators and tools are designed to provide traders with advanced analytics and insights, drawing on the latest AI techniques and methodologies. The MBAND 200 4H BTC/USDT with RSI and Volume indicator is a prime example of our commitment to innovation, offering traders a sophisticated, AI-enhanced tool for navigating the complexities of the cryptocurrency markets.
Disclaimer:
The MBAND indicator is provided for informational purposes only and does not constitute investment advice. Trading cryptocurrencies involves significant risk and can result in the loss of your investment. We recommend conducting your own research and consulting with a qualified financial advisor before making any trading decisions.
Rectified BB% for option tradingThis indicator shows the bollinger bands against the price all expressed in percentage of the mean BB value. With one sight you can see the amplitude of BB and the variation of the price, evaluate a reenter of the price in the BB.
The relative price is visualized as a candle with open/high/low/close value exspressed as percentage deviation from the BB mean
The indicator include a modified RSI, remapped from 0/100 to -100/100.
You can choose the BB parameters (length, standard deviation multiplier) and the RSI parameter (length, overbougth threshold, ovrsold threshold)
You can exclude/include the candles and the RSI line.
The indicator can be used to sell options when the volatility is high (the bollinger band is wide) and the price is reentering inside the bands.
If the price is forming a supply or demand area it can be a good opportunity to sell a bull put or a bear call
The RSI can be used as confirm of the supply/demand formation
If the bollinger band is narrow and the RSI is overbought/oversold it indicate a better opportunity to buy options
the indicator is designed to work with daily timeframe and default parameters.
DBMA - Dual Bollinger Moving AverageThe Dual Bollinger moving average (DBMA) consists of a moving average (MA) & two Bollinger Bands (BB), with the color of the bands representing the level of price compression. In its default settings, it is a 20-day simple moving average with 2 upper Bollinger Bands, having the standard deviation (SD) settings of 0.5 & 1, respectively.
How close the price is to the moving average?
For a pullback trader, the entry point should be close to the moving average, preferably with price compression. How close should it be, is where the bands serve as a guide. The low of the pullback candle should be within the bands, that is, at least within the far band (1 SD of the MA), or even better if it's within the near band (0.5 SD). When the price is outside the bands, it should not be considered favourable for a pullback entry.
For how long has the price been closer to the moving average?
John Carter’s TTM Squeeze indicator looked at the relationship between Bollinger Bands and Keltner's Channels to help identify period of volatility contractions. Bollinger Bands being completely enclosed within the Keltner Channels is indicative of a very low volatility. This is a state of volatility contraction known as squeeze. Using different ATR lengths (1.0, 1.5 and 2.0) for Keltner Channels, we can differentiate between levels of squeeze (High, Mid & Low compression, respectively). Greater the compression, higher the potential for explosive moves.
The squeeze portion of the script is based on LazyBear's script ( Squeeze Momentum Indicator )
The High, Mid & Low compression squeezes are depicted via the color of the bands being red, orange, or yellow, respectively. With the low of the pullback candle within the bands, & the squeeze color changing to red, it should be considered favourable for a pullback entry.
Trailing the price with the lower bands
The lower bands can be used for trailing with the moving average. While trailing, once the price closes below the moving average, the trailing stoploss (TSL) is said to be triggered, & the trade is exited. Here we use the bands to give it some cushion. Let the price close below the 1SD band for labelling the TSL as being triggered to exit the trade. If the price closes below the MA but is still within the bands, the signal is to keep holding the trade.
AggBands (v1) [qrsq]The "AggBands" indicator is a custom trading indicator designed to provide a consolidated view of the price action across multiple assets or trading pairs. It combines the price data from multiple tickers and calculates an aggregated price using user-defined weights for each ticker.
The indicator starts by defining the tickers to be included in the aggregation. You can choose from predefined configurations such as "BTC PAIRS," "CRYPTO TOTAL MARKET CAP," "TOP 5 PAIRS," "TOP 5 MEMECOINS," "SPX," "DXY," or "FANG." Each configuration includes specific tickers or indices relevant to the chosen category.
The indicator then fetches the closing, high, and low prices for each ticker and applies the user-defined weights to calculate the aggregated prices. The aggregated prices are normalized within a specified length to provide a consistent scale across different assets or pairs.
Next, the indicator calculates the midpoint, which is the average of the highest high and lowest low of the aggregated prices over a specified aggregation period.
To assess the volatility, the indicator calculates the price range and applies the Average True Range (ATR) indicator to determine the volatility value. The standard deviation is then computed using the price range and aggregation period, with an additional scaling factor applied to the volatility value.
Based on the standard deviation, the indicator generates multiple bands above and below the midpoint. By default, three standard deviation bands are calculated, but the user can choose between one and five bands. The upper and lower bands are smoothed using various moving average (MA) types, such as Simple Moving Average (SMA), Exponential Moving Average (EMA), Smoothed Moving Average (SMMA/RMA), Weighted Moving Average (WMA), Volume Weighted Moving Average (VWMA), Volume Weighted Average Price (VWAP), or Arnaud Legoux Moving Average (ALMA). The user can also adjust the length, offset, and sigma parameters for the moving averages.
The indicator can optionally smooth the midpoint, upper bands, and lower bands using a separate set of moving average parameters.
The indicator can be useful for traders and analysts who want to gain a consolidated view of price movements across multiple assets or trading pairs. It helps identify trends, volatility, and potential support and resistance levels based on the aggregated price and standard deviation bands. Traders can use this information to make informed decisions about trading strategies, risk management, and market analysis.
Nadaraya-Watson Envelope Alternative [CHE] Super EnvelopeThe problem of the wonderfuls Nadaraya-Watson indicators is that they repainting, so I use a John Ehlers’ 2-pole Butterworth filter “Super Smoother”. With this indicator you are able to make adjustments to the length and using the multiplier out and thus to make the analysis as good as possible.
Settings:
smoothing length: Determines the length of the Super Envelope.
Adjustable multiplier: Multiplier for the bands
Show middle band: On and off center line
Hide Disclaimer: Uncheck to hide the disclaimer
Usage
This tool outlines extremes made by the prices within the selected window size. This is achieved by estimating the underlying trend in the price using Ehlers Super smoothing, calculating the mean absolute deviations from it, and adding/subtracting it from the estimated underlying trend.
We can expect the price to reverse when crossing one of the envelope extremities. Crosses between the price and the envelopes extremities are indicated with triangles on the chart.
I have integrated alerts for this indicator from the crosses between the price and the envelope extremities. However, i do not recommend this tool to be used alone or solely for real time applications.
best regards
Chervolino
Bar By Bar ATR [upslidedown]After seeing strategy after strategy refer to calculating ATR values using a "calculator" (how barbaric!), I thought I'd take a stab at one possible solution to the "problem" as an overlay indicator on the main chart that replaces traditional standard ATR bands. This indicator presents ATR within a channel with a slick trick: invisible hover-able tooltips for you to know the ATR value for your strategy from bar to bar. Just zoom in and hover over the high ATR range and you'll see take profit and stop loss values for whatever strategy you might be running. I defaulted the indicator to a 1:1.5 ATR standard setup because that is good for many strategies but this is as configurable as you'd like to make it. One notable improvement for this indicator over standard ATR bands is that many existing ATR bands only use integers and this one uses a float value, so you can endlessly customize based on whatever strategy you might be running.
Note: Because labels are limited by default, the best way to historically see ATR values is to use TV's replay feature. I did this on purpose to limit resource usage. One could certainly print more labels but I felt it unnecessary to go beyond the default number of labels.
Adaptive Entry: RSI & SMA With DebounceShort description
Adaptive long-entry timing using RSI on a higher timeframe and an SMA ±band price filter, with optional no-repaint confirmation and debounce.
Long description
What it does
This study helps time long entries by combining:
RSI on a selected higher-timeframe (HTF), and
A price filter relative to an SMA ± band on the same HTF,
plus a debounce so you don’t get rapid-fire signals. It includes an optional “confirm on HTF close” mode to avoid repainting.
Core logic (long bias only)
Compute HTF RSI and HTF SMA for the chart symbol (no external market filter).
Build an upper/lower band around the SMA using a user-defined fraction (e.g., 0.05 = ±5%).
Entry state = true when:
RSI(HTF) is below the threshold (oversold/weak),
Price (HTF) is inside the band (or within your chosen price-vs-band rule),
(Optional) the signal is confirmed on HTF bar close (no-repaint).
Cross event is the first bar where the state turns true and at least N bars have passed since the previous signal (debounce).
Why it doesn’t repaint (when enabled)
All HTF values are requested with lookahead_off.
With Confirm on HTF bar close checked, a signal is only accepted after the HTF candle closes.
Inputs
Signal timeframe (HTF) – default 1D.
RSI length / RSI threshold – e.g., 14 / 45.
SMA length – default 50.
SMA ± band (fraction) – e.g., 0.05 → ±5% around SMA.
Confirm on HTF bar close – toggles no-repaint behavior.
Debounce: min bars between signals – e.g., 3.
Price filter vs band – choose one:
Inside band only (strict)
Inside or below LB (lenient / value)
Re-entering band from below (pullback into strength)
Show SMA ± band fill / Show debug label – visuals.
Visuals
HTF SMA with shaded ±band.
A small ▲ below bars on Cross events (debounced first-true signals).
Optional compact debug label (HTF, RSI, distance to SMA, debounce setting).
Alerts
BUY (State) – stays true while conditions are met (can remain on across multiple bars).
Use when you want continuous awareness that the setup is live.
BUY (Cross event) – fires once on the first bar the state turns true and debounce is satisfied.
Use when you want a single, actionable “go” ping.
Best practices
HTF = 1D on intraday charts works well for swing entries.
Tune RSI threshold: lower values = deeper pullbacks, fewer signals.
Tune band fraction: 0.03–0.08 often balances sensitivity vs. whipsaw.
If you trade ETFs that only alert in regular hours, consider running alerts on a 24/5 proxy (e.g., ES1!/SPCFD) and executing on your ETF.
Limitations
Long-only logic by design.
Signals depend on HTF selection and data availability for your symbol/feed.
Extended-hours alerting depends on the instrument (ETFs are often RTH-only on TV).
Suggested default settings
HTF: 1 day
RSI: 14, Threshold 45
SMA: 50
Band fraction: 0.05
Confirm on HTF close: ON
Debounce: 3 bars
Price filter: Inside or below LB
Show band fill & debug label: ON
How to use (quick start)
Add to chart and pick your HTF.
Set RSI threshold (start with 45).
Choose your band fraction (start with 0.05).
Keep Confirm on HTF close ON if you want no-repaint signals.
Create an alert:
BUY (Cross event) for one-shot actionable alerts, or
BUY (State) for persistent “setup is active” monitoring.
Tags / categories
Category: Indicators → Trend / Momentum
Tags: RSI, SMA, Pullback, Mean Reversion, Swing, Higher Timeframe, Debounce, No-Repaint
OSOM WV"OSOM WV", plots volume-weighted moving average (VWMA) bands with ATR offsets to identify bullish/bearish/neutral trends based on price position relative to the bands. It includes optional low-lag mode, visual styles (cloud, band, line), buy/sell crossover signals with non-pyramiding, take-profit via Z-score/RSI overbought/oversold, re-entry on wick touches, and a smoothed forecast of trend duration (displayed as a label like "↑ 3/8" for current/probable bars).
HEK Dinamik Fiyat Kanalı Stratejisi v1HEK Dynamic Price Channel Strategy
Concept
The HEK Dynamic Price Channel provides a channel structure that expands and contracts according to price momentum and time-based equilibrium.
Unlike fixed-band systems, it evaluates the interaction between price and its balance line through an adaptive channel width that dynamically adjusts to changing market conditions.
How It Works
When the price reacts to the midline, the channel bands automatically reposition themselves.
Touching the upper band indicates a strengthening trend, while touching the lower band signals weakening momentum.
This adaptive mechanism helps filter out false signals during sudden directional changes, enhancing overall signal quality.
Advantages
✅ Maintains trend continuity while avoiding overtrading.
✅ Automatically adapts to changing volatility conditions.
✅ Detects early signals of short- and mid-term trend reversals.
Applications
Directional confirmation in spot and futures markets.
A supporting tool in channel breakout strategies.
Identifying price consolidation and equilibrium zones.
Note
This strategy is intended for educational and research purposes only.
It should not be considered financial advice. Always consult a professional financial advisor before making investment decisions.
© HEK — Adaptive Channel Approach on Dynamic Market Structures
6 gün önce
Sürüm Notları
HEK Dynamic Price Channel Strategy
Concept
The HEK Dynamic Price Channel provides a channel structure that expands and contracts according to price momentum and time-based equilibrium.
Unlike fixed-band systems, it evaluates the interaction between price and its balance line through an adaptive channel width that dynamically adjusts to changing market conditions.
How It Works
When the price reacts to the midline, the channel bands automatically reposition themselves.
Touching the upper band indicates a strengthening trend, while touching the lower band signals weakening momentum.
This adaptive mechanism helps filter out false signals during sudden directional changes, enhancing overall signal quality.
Advantages
✅ Maintains trend continuity while avoiding overtrading.
✅ Automatically adapts to changing volatility conditions.
✅ Detects early signals of short- and mid-term trend reversals.
Applications
Directional confirmation in spot and futures markets.
A supporting tool in channel breakout strategies.
Identifying price consolidation and equilibrium zones.
Note
This strategy is intended for educational and research purposes only.
It should not be considered financial advice. Always consult a professional financial advisor before making investment decisions.
© HEK — Adaptive Channel Approach on Dynamic Market Structures
RSI: chart overlay
This indicator maps RSI thresholds directly onto price. Since the EMA of price aligns with RSI’s 50-line, it draws a volatility-based band around the EMA to reveal levels such as 70 and 30.
By converting RSI values into visible price bands, the overlay lets you see exactly where price would have to move to hit traditional RSI boundaries. These bands adapt in real time to both price movement and market volatility, keeping the classic RSI logic intact while presenting it in the context of price action. This approach helps traders interpret RSI signals without leaving the main chart window.
The calculation uses the same components as the RSI: alternative derivation script: Wilder’s EMA for smoothing, a volatility-based unit for scaling, and a normalization factor. The result is a dynamic band structure on the chart, representing RSI boundary levels in actual price terms.
Key components and calculation breakdown:
Wilder’s EMA
Used as the anchor point for measuring price position.
myEMA = ta.rma(close, Length)
Volatility Unit
Derived from the EMA of absolute close-to-close price changes.
CC_vol = ta.rma(math.abs(close - close ), Length)
Normalization Factor
Scales the volatility unit to align with the RSI formula’s structure.
normalization_factor = 1 / (Length - 1)
Upper and Lower Boundaries
Defines price bands corresponding to selected RSI threshold values.
up_b = myEMA + ((upper - 50) / 50) * (CC_vol / normalization_factor)
down_b = myEMA - ((50 - lower) / 50) * (CC_vol / normalization_factor)
Inputs
RSI length
Upper boundary – RSI level above 50
Lower boundary – RSI level below 50
ON/OFF toggle for 50-point line (EMA of close prices)
ON/OFF toggle for overbought/oversold coloring (use with line chart)
Interpretation:
Each band on the chart represents a chosen RSI level.
When price touches a band, RSI is at that threshold.
The distance between moving average and bands adjusts automatically with volatility and your selected RSI length.
All calculations remain fully consistent with standard RSI values.
Feedback and code suggestions are welcome, especially regarding implementation efficiency and customization.
VWAP / ORB / VP & POCThis is an all-in-one technical analysis tool designed to give you a comprehensive view of the market on a single chart. It combines three powerful indicators—VWAP, Opening Range, and Volume Profile—to help you identify key price levels, understand intraday trends, and spot areas of high liquidity.
What It Does
The indicator plots three distinct components on your chart:
Volume-Weighted Average Price (VWAP): A benchmark that shows the average price a security has traded at throughout the day, based on both price and volume. It's often used by institutional traders to gauge whether they are getting a good price. The script also plots standard deviation or percentage-based bands around the VWAP line, which can act as dynamic support and resistance.
Opening Range Breakout (ORB): A tool that highlights the high and low of the initial trading period of a session (e.g., the first 15 minutes). The script draws lines for the opening price, range high, and range low for the rest of the session. It also colors the chart with zones to visually separate price action above, below, and within this critical opening range.
Volume Profile (VP): A powerful study that shows trading activity over a set number of bars at specific price levels. Unlike traditional volume that is plotted over time, this is plotted on the price axis. It helps you instantly see where the most and least trading has occurred, identifying significant levels like the Point of Control (POC)—the single price with the most volume—and the Value Area (VA), where the majority of trading took place.
How to Use It for Trading
The real strength of this indicator comes from finding confluence, where two or more of its components signal the same key level.
Identifying Support & Resistance: The POC, VWAP bands, Opening Range high/low, and session open price are all powerful levels to watch. When price approaches one of these levels, you can anticipate a potential reaction (a bounce or a breakout).
Gauging Intraday Trend: A simple rule of thumb is to consider the intraday trend bullish when the price is trading above the VWAP and bearish when it is trading below the VWAP.
Finding High-Value Zones: The Volume Profile’s Value Area (VA) shows you where the market has accepted a price. Trading within the VA is considered "fair value," while prices outside of it are "unfair." Reversals often happen when the price tries to re-enter the Value Area from the outside.
Settings:
Here’s a breakdown of all the settings you can change to customize the indicator to your liking.
Volume Profile Settings:
Number of Bars: How many of the most recent bars to use for the calculation. A higher number gives a broader profile.
Row Size: The number of price levels (rows) in the profile. Higher numbers give a more detailed, granular view.
Value Area Volume %: The percentage of total volume to include in the Value Area (standard is 70%).
Horizontal Offset: Moves the Volume Profile further to the right to avoid overlapping with recent price action.
Colors & Styles: Customize the colors for the POC line, Value Area, and the up/down volume bars.
VWAP Settings:
Anchor Period: Resets the VWAP calculation at the start of a new Session, Week, Month, Year, etc. You can even anchor it to corporate events like Earnings or Splits.
Source: The price source used in the calculation (default is hlc3, the average of the high, low, and close).
Bands Calculation Mode:
Standard Deviation: The bands are based on statistical volatility.
Percentage: The bands are a fixed percentage away from the VWAP line.
Bands Multiplier: Sets the distance of the bands from the VWAP. You can enable and configure up to three sets of bands.
ORB Settings (Opening Range)
Opening Range Timeframe: The duration of the opening range (e.g., 15 for 15 minutes, 60 for the first hour).
Market Session & Time Zone: Crucial for ensuring the range is calculated at the correct time for the asset you're trading.
Line & Zone Styles: Full customization for the colors, thickness, and style (Solid, Dashed, Dotted) of the High, Low, and Opening Price lines, as well as the background colors for the zones above, below, and within the range.
Yearly VWAP with Z-Score V2This script extends the traditional Volume Weighted Average Price (VWAP) by applying it to yearly sessions (with a customizable start month) and combining it with a Z-Score framework to standardize price deviations from VWAP.
Features
Yearly VWAP: Automatically resets at the selected month, making it possible to align VWAP with fiscal or seasonal cycles (e.g., June–May).
Volatility-Weighted Bands: Standard deviation is calculated using volume-weighted price variance, creating adaptive upper and lower bands around VWAP.
Z-Score Calculation: Converts price distance from VWAP into standardized scores, ranging from +2.5 to –2.5. This enables statistical interpretation of whether price is trading at fair value, extended, or oversold relative to VWAP.
Custom Session Control: Input allows users to change the yearly anchor month.
On-Chart Display: VWAP and bands are plotted, with a live Z-Score label shown on the latest bar.
How to Use
Fair Value Reference: VWAP reflects the average price weighted by volume over the yearly session — a natural equilibrium point.
Overbought / Oversold Detection: Extreme Z-Score readings (±2 or beyond) highlight when price is stretched relative to VWAP.
Cycle Analysis: Resetting VWAP by custom months allows studying market behavior over fiscal years, seasons, or custom trading cycles.
Part of a Broader Toolkit: This script is not a standalone trading system. It works best when aggregated with other indicators, confluence factors, or a structured strategy.
Originality
Unlike a standard VWAP, this version:
Uses yearly anchoring with custom start month instead of session/day anchoring.
Adds volume-weighted standard deviation bands for statistical context.
Translates distance into a Z-Score scale for objective overbought/oversold assessment.
Positive Z-Score values indicate zones where price is positioned favorably for accumulation or potential buys, while negative values highlight areas more suitable for distribution or profit-taking — always best used in confluence with other tools rather than as a standalone signal
