ORB Breakouts with alerts"ORB Breakouts with Alerts" is a utility indicator that highlights an Opening Range Breakout (ORB) setup during a user-defined intraday time window. It allows traders to visualize price consolidation ranges and receive alerts when price breaks above or below the session high/low.
🔧 Features:
*Customizable session time (start and end), adjustable to local time using a timezone offset.
*Automatically plots:
*A shaded box around the session's high and low.
*Horizontal lines at session high and low levels.
*Optional "BUY"/"SELL" labels to mark breakout directions.
*Visual breakout signals when price crosses above or below the session range.
*Built-in alerts to notify when breakouts occur.
*Configurable styling options including box color, highlight color, and label placement.
⚙️ How It Works:
*During the defined time range, the script tracks the highest high and lowest low.
*After the session ends:
*A box is drawn to represent the opening range.
*Breakouts above the high or below the low trigger visual markers and optional alerts.
*Alerts are limited to one per direction per day to reduce noise.
⚠️ This indicator is a technical analysis tool only and does not provide financial advice or trade recommendations. Always use with proper risk management and in conjunction with your trading plan.
圖表形態
HorizonSigma Pro [CHE]HorizonSigma Pro
Disclaimer
Not every timeframe will yield good results . Very short charts are dominated by microstructure noise, spreads, and slippage; signals can flip and the tradable edge shrinks after costs. Very high timeframes adapt more slowly, provide fewer samples, and can lag regime shifts. When you change timeframe, you also change the ratios between horizon, lookbacks, and correlation windows—what works on M5 won’t automatically hold on H1 or D1. Liquidity, session effects (overnight gaps, news bursts), and volatility do not scale linearly with time. Always validate per symbol and timeframe, then retune horizon, z-length, correlation window, and either the neutral band or the z-threshold. On fast charts, “components” mode adapts quicker; on slower charts, “super” reduces noise. Keep prior-shift and calibration enabled, monitor Hit Rate with its confidence interval and the Brier score, and execute only on confirmed (closed-bar) values.
For example, what do “UP 61%” and “DOWN 21%” mean?
“UP 61%” is the model’s estimated probability that the close will be higher after your selected horizon—directional probability, not a price target or profit guarantee. “DOWN 21%” still reports the probability of up; here it’s 21%, which implies 79% for down (a short bias). The label switches to “DOWN” because the probability falls below your short threshold. With a neutral-band policy, for example ±7%, signals are: Long above 57%, Short below 43%, Neutral in between. In z-score mode, fixed z-cutoffs drive the call instead of percentages. The arrow length on the chart is an ATR-scaled projection to visualize reach; treat it as guidance, not a promise.
Part 1 — Scientific description
Objective.
The indicator estimates the probability that price will be higher after a user-defined horizon (a chosen number of bars) and emits long, short, or neutral decisions under explicit thresholds. It combines multi‑feature, z‑normalized inputs, adaptive correlation‑based weighting, a prior‑shifted sigmoid mapping, optional rolling probability calibration, and repaint‑safe confirmation. It also visualizes an ATR‑scaled forward projection and prints a compact statistics panel.
Data and labeling.
For each bar, the target label is whether price increased over the past chosen horizon. Learning is deliberately backward‑looking to avoid look‑ahead: features are associated with outcomes that are only known after that horizon has elapsed.
Feature engineering.
The feature set includes momentum, RSI, stochastic %K, MACD histogram slope, a normalized EMA(20/50) trend spread, ATR as a share of price, Bollinger Band width, and volume normalized by its moving average. All features are standardized over rolling windows. A compressed “super‑feature” is available that aggregates core trend and momentum components while penalizing excessive width (volatility). Users can switch between a “components” mode (weighted sum of individual features) and a “super” mode (single compressed driver).
Weighting and learning.
Weights are the rolling correlations between features (evaluated one horizon ago) and realized directional outcomes, smoothed by an EMA and optionally clamped to a bounded range to stabilize outliers. This produces an adaptive, regime‑aware weighting without explicit machine‑learning libraries.
Scoring and probability mapping.
The raw score is either the weighted component sum or the weighted super‑feature. The score is standardized again and passed through a sigmoid whose steepness is user‑controlled. A “prior shift” moves the sigmoid’s midpoint to the current base rate of up moves, estimated over the evaluation window, so that probabilities remain well‑calibrated when markets drift bullish or bearish. Probabilities and standardized scores are EMA‑smoothed for stability.
Decision policy.
Two modes are supported:
- Neutral band: go long if the probability is above one half plus a user‑set band; go short if it is below one half minus that band; otherwise stay neutral.
- Z‑score thresholds: use symmetric positive/negative cutoffs on the standardized score to trigger long/short.
Repaint protection.
All values used for decisions can be locked to confirmed (closed) bars. Intrabar updates are available as a preview, but confirmed values drive evaluation and stats.
Calibration.
An optional rolling linear calibration maps past confirmed probabilities to realized outcomes over the evaluation window. The mapping is clipped to the unit interval and can be injected back into the decision logic if desired. This improves reliability (probabilities that “mean what they say”) without necessarily improving raw separability.
Evaluation metrics.
The table reports: hit rate on signaled bars; a Wilson confidence interval for that hit rate at a chosen confidence level; Brier score as a measure of probability accuracy; counts of long/short trades; average realized return by side; profit factor; net return; and exposure (signal density). All are computed on rolling windows consistent with the learning scheme.
Visualization.
On the chart, an arrowed projection shows the predicted direction from the current bar to the chosen horizon, with magnitude scaled by ATR (optionally scaled by the square‑root of the horizon). Labels display either the decision probability or the standardized score. Neutral states can display a configurable icon for immediate recognition.
Computational properties.
The design relies on rolling means, standard deviations, correlations, and EMAs. Per‑bar cost is constant with respect to history length, and memory is constant per tracked series. Graphical objects are updated in place to obey platform limits.
Assumptions and limitations.
The method is correlation‑based and will adapt after regime changes, not before them. Calibration improves probability reliability but not necessarily ranking power. Intrabar previews are non‑binding and should not be evaluated as historical performance.
Part 2 — Trader‑facing description
What it does.
This tool tells you how likely price is to be higher after your chosen number of bars and converts that into Long / Short / Neutral calls. It learns, in real time, which components—momentum, trend, volatility, breadth, and volume—matter now, adjusts their weights, and shows you a probability line plus a forward arrow scaled by volatility.
How to set it up.
1) Choose your horizon. Intraday scalps: 5–10 bars. Swings: 10–30 bars. The default of 14 bars is a balanced starting point.
2) Pick a feature mode.
- components: granular and fast to adapt when leadership rotates between signals.
- super: cleaner single driver; less noise, slightly slower to react.
3) Decide how signals are triggered.
- Neutral band (probability based): intuitive and easy to tune. Widen the band for fewer, higher‑quality trades; tighten to catch more moves.
- Z‑score thresholds: consistent numeric cutoffs that ignore base‑rate drift.
4) Keep reliability helpers on. Leave prior shift and calibration enabled to stabilize probabilities across bullish/bearish regimes.
5) Smoothing. A short EMA on the probability or score reduces whipsaws while preserving turns.
6) Overlay. The arrow shows the call and a volatility‑scaled reach for the next horizon. Treat it as guidance, not a promise.
Reading the stats table.
- Hit Rate with a confidence interval: your recent accuracy with an uncertainty range; trust the range, not only the point.
- Brier Score: lower is better; it checks whether a stated “70%” really behaves like 70% over time.
- Profit Factor, Net Return, Exposure: quick triage of tradability and signal density.
- Average Return by Side: sanity‑check that the long and short calls each pull their weight.
Typical adjustments.
- Too many trades? Increase the neutral band or raise the z‑threshold.
- Missing the move? Tighten the band, or switch to components mode to react faster.
- Choppy timeframe? Lengthen the z‑score and correlation windows; keep calibration on.
- Volatility regime change? Revisit the ATR multiplier and enable square‑root scaling of horizon.
Execution and risk.
- Size positions by volatility (ATR‑based sizing works well).
- Enter on confirmed values; use intrabar previews only as early signals.
- Combine with your market structure (levels, liquidity zones). This model is statistical, not clairvoyant.
What it is not.
Not a black‑box machine‑learning model. It is transparent, correlation‑weighted technical analysis with strong attention to probability reliability and repaint safety.
Suggested defaults (robust starting point).
- Horizon 14; components mode; weight EMA 10; correlation window 500; z‑length 200.
- Neutral band around seven percentage points, or z‑threshold around one‑third of a standard deviation.
- Prior shift ON, Calibration ON, Use calibrated for decisions OFF to start.
- ATR multiplier 1.0; square‑root horizon scaling ON; EMA smoothing 3.
- Confidence setting equivalent to about 95%.
Disclaimer
No indicator guarantees profits. HorizonSigma Pro is a decision aid; always combine with solid risk management and your own judgment. Backtest, forward test, and size responsibly.
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Enhance your trading precision and confidence 🚀
Best regards
Chervolino
Untouched ExtremesWhat it is
Untouched Extremes plots horizontal levels at green-candle highs and red-candle lows. Each level is considered “untouched” (clean liquidity) until price revisits it; on the first valid touch the line auto-deletes, keeping only live targets on your chart.
How it works (logic)
Bar close event
If close > open, the script draws a line at that bar’s high and extends it to the right.
If close < open, it draws a line at that bar’s low and extends it to the right.
(Optional) Perfect/almost-dojis can be classified as green or red via settings.
Touch & removal
A green-high line is removed when any later bar’s high ≥ level (optionally within a tick tolerance).
A red-low line is removed when any later bar’s low ≤ level (optionally within a tick tolerance).
You can delay deletion by N bars to make the touch visible before the line disappears.
Housekeeping
Maximum active lines per side and line styling are user-configurable.
Why it’s useful
Untouched highs/lows often coincide with resting liquidity and incomplete price probes. Tracking them helps:
Define targets and magnets price may seek.
Frame mean-reversion rotations after a failed push.
Keep the chart clean: only levels that have not been traded are displayed.
How to use it (trading idea)
Confirmation rule: Treat the line as a level/zone. Price can pierce it; wait for a clear reversal candle pattern (e.g., pin bar, engulfing, strong momentum shift) at or immediately after the touch.
Directional play:
If a bullish reversal pattern forms at/around a red-low line, the working assumption is that price will move toward the first untouched upper line (nearest green-high line above). Many traders use that as the primary target.
Conversely, if a bearish reversal pattern forms at/around a green-high line, expect rotation toward the first untouched lower line.
Risk management: Stops typically go just beyond the level or beyond the pattern’s wick. Consider a fixed R:R (e.g., 1:2) and partials at intermediate levels.
Settings
Doji handling: Choose how to classify close ≈ open bars (Green / Red / Ignore). A small equality margin (ticks) helps with rounding on some symbols.
Touch tolerance (ticks): Counts near-misses as touches if desired.
Deletion delay (bars): Wait N bars after creation before a line becomes eligible for deletion.
Max lines per side / width / colors: Keep the view readable.
Tips
Works on any symbol/timeframe; lower TFs produce more levels—adjust Max lines accordingly.
Combining with a trend filter (e.g., EMA-200), ATR distance, or volume clues can improve selectivity.
If spreads or wicks are noisy, increase tolerance slightly and/or use deletion delay to visualize touches.
Note: This tool provides structure and potential targets, not signals by itself. Always require your reversal pattern as confirmation and manage risk appropriately.
Strat Failed 2-Up/2-Down Scanner v2**Strat Failed 2-Up/2-Down Scanner**
The Strat Failed 2-Up/2-Down Scanner is designed for traders using The Strat methodology, developed by Rob Smith, to identify key reversal patterns in any market and timeframe. This indicator detects two specific candlestick patterns: Failed 2-Up (bearish) and Failed 2-Down (bullish), which signal potential reversals when a directional move fails to follow through.
**What It Does**
- **Failed 2-Up**: Identifies a bearish candle where the low and high are higher than the previous candle’s low and high, but the close is below the open, indicating a failed attempt to continue an uptrend. These are marked with a red candlestick, a red downward triangle above the bar, and a table entry.
- **Failed 2-Down**: Identifies a bullish candle where the high and low are lower than the previous candle’s high and low, but the close is above the open, signaling a failed downtrend. These are marked with a green candlestick, a green upward triangle below the bar, and a table entry.
- A table in the top-right corner displays the signal type ("Failed 2-Up" or "Failed 2-Down") and the ticker symbol for quick reference.
- Alerts are provided for both patterns, making the indicator compatible with TradingView’s screener for automated scanning.
**How It Works**
The indicator analyzes each candlestick’s high, low, and close relative to the previous candle:
- Failed 2-Up: `low > low `, `high > high `, `close < open`.
- Failed 2-Down: `high < high `, `low < low `, `close > open`.
When these conditions are met, the indicator applies visual markers (colored bars and triangles) and updates the signal table. Alert conditions trigger notifications for integration with TradingView’s alert system.
**How to Use**
1. Apply the indicator to any chart (stocks, forex, crypto, etc.) on any timeframe (e.g., 1-minute, hourly, daily).
2. Monitor the chart for red (Failed 2-Up) or green (Failed 2-Down) candlesticks with corresponding triangles.
3. Check the top-right table for the latest signal and ticker.
4. Set alerts by selecting “Failed 2-Up Detected” or “Failed 2-Down Detected” in TradingView’s alert menu to receive notifications (e.g., via email or app).
5. Use the signals to identify potential reversal setups in conjunction with other Strat-based analysis, such as swing levels or time-based strategies.
**Originality**
Unlike other Strat indicators that may focus on swing levels or complex candlestick combinations, this scanner specifically targets Failed 2-Up and Failed 2-Down patterns with clear, minimalist visualizations (bars, triangles, table) and robust alert functionality. Its simplicity makes it accessible for both novice and experienced traders using The Strat methodology.
**Ideal For**
Day traders, swing traders, and scalpers looking to capitalize on reversal signals in trending or ranging markets. The indicator is versatile for any asset class and timeframe, enhancing trade decision-making with The Strat’s pattern-based approach.
Daily Start Vertical Lines (≤1H)This indicator automatically plots vertical lines at the start of each new trading day, based on the selected chart’s timezone. Unlike the default daily session boundaries (which often start at 17:00 New York time), this tool ensures that lines are drawn precisely at 00:00 midnight of the chart’s timezone.
🔹 Features:
Plots a vertical line at every new day start (midnight).
Fully time-zone aware → lines adjust automatically when you change the chart’s timezone.
Customizable line style, width, and color.
Option to limit plotting to specific timeframes (e.g., show only on ≤ 1H charts).
Lightweight & optimized (does not clutter higher-timeframe charts).
🔹 Use Cases:
Quickly identify daily boundaries for intraday analysis.
Helps scalpers and day traders align trades with new day opens.
Useful for strategies that depend on daily session resets.
This tool is especially helpful for traders who want clarity when working across different time zones.
Adaptive Rolling Quantile Bands [CHE] Adaptive Rolling Quantile Bands
Part 1 — Mathematics and Algorithmic Design
Purpose. The indicator estimates distribution‐aware price levels from a rolling window and turns them into dynamic “buy” and “sell” bands. It can work on raw price or on *residuals* around a baseline to better isolate deviations from trend. Optionally, the percentile parameter $q$ adapts to volatility via ATR so the bands widen in turbulent regimes and tighten in calm ones. A compact, latched state machine converts these statistical levels into high-quality discretionary signals.
Data pipeline.
1. Choose a source (default `close`; MTF optional via `request.security`).
2. Optionally compute a baseline (`SMA` or `EMA`) of length $L$.
3. Build the *working series*: raw price if residual mode is off; otherwise price minus baseline (if a baseline exists).
4. Maintain a FIFO buffer of the last $N$ values (window length). All quantiles are computed on this buffer.
5. Map the resulting levels back to price space if residual mode is on (i.e., add back the baseline).
6. Smooth levels with a short EMA for readability.
Rolling quantiles.
Given the buffer $X_{t-N+1..t}$ and a percentile $q\in $, the indicator sorts a copy of the buffer ascending and linearly interpolates between adjacent ranks to estimate:
* Buy band $\approx Q(q)$
* Sell band $\approx Q(1-q)$
* Median $Q(0.5)$, plus optional deciles $Q(0.10)$ and $Q(0.90)$
Quantiles are robust to outliers relative to means. The estimator uses only data up to the current bar’s value in the buffer; there is no look-ahead.
Residual transform (optional).
In residual mode, quantiles are computed on $X^{res}_t = \text{price}_t - \text{baseline}_t$. This centers the distribution and often yields more stationary tails. After computing $Q(\cdot)$ on residuals, levels are transformed back to price space by adding the baseline. If `Baseline = None`, residual mode simply falls back to raw price.
Volatility-adaptive percentile.
Let $\text{ATR}_{14}(t)$ be current ATR and $\overline{\text{ATR}}_{100}(t)$ its long SMA. Define a volatility ratio $r = \text{ATR}_{14}/\overline{\text{ATR}}_{100}$. The effective quantile is:
Smoothing.
Each level is optionally smoothed by an EMA of length $k$ for cleaner visuals. This smoothing does not change the underlying quantile logic; it only stabilizes plots and signals.
Latched state machines.
Two three-step processes convert levels into “latched” signals that only fire after confirmation and then reset:
* BUY latch:
(1) HLC3 crosses above the median →
(2) the median is rising →
(3) HLC3 prints above the upper (orange) band → BUY latched.
* SELL latch:
(1) HLC3 crosses below the median →
(2) the median is falling →
(3) HLC3 prints below the lower (teal) band → SELL latched.
Labels are drawn on the latch bar, with a FIFO cap to limit clutter. Alerts are available for both the simple band interactions and the latched events. Use “Once per bar close” to avoid intrabar churn.
MTF behavior and repainting.
MTF sourcing uses `lookahead_off`. Quantiles and baselines are computed from completed data only; however, any *intrabar* cross conditions naturally stabilize at close. As with all real-time indicators, values can update during a live bar; prefer bar-close alerts for reliability.
Complexity and parameters.
Each bar sorts a copy of the $N$-length window (practical $N$ values keep this inexpensive). Typical choices: $N=50$–$100$, $q_0=0.15$–$0.25$, $k=2$–$5$, baseline length $L=20$ (if used), adaptation strength $s=0.2$–$0.7$.
Part 2 — Practical Use for Discretionary/Active Traders
What the bands mean in practice.
The teal “buy” band marks the lower tail of the recent distribution; the orange “sell” band marks the upper tail. The median is your dynamic equilibrium. In residual mode, these tails are deviations around trend; in raw mode they are absolute price percentiles. When ATR adaptation is on, tails breathe with regime shifts.
Two core playbooks.
1. Mean-reversion around a stable median.
* Context: The median is flat or gently sloped; band width is relatively tight; instrument is ranging.
* Entry (long): Look for price to probe or close below the buy band and then reclaim it, especially after HLC3 recrosses the median and the median turns up.
* Stops: Place beyond the most recent swing low or $1.0–1.5\times$ ATR(14) below entry.
* Targets: First scale at the median; optional second scale near the opposite band. Trail with the median or an ATR stop.
* Symmetry: Mirror the rules for shorts near the sell band when the median is flat to down.
2. Continuation with latched confirmations.
* Context: A developing trend where you want fewer but cleaner signals.
* Entry (long): Take the latched BUY (3-step confirmation) on close, or on the next bar if you require bar-close validation.
* Invalidation: A close back below the median (or below the lower band in strong trends) negates momentum.
* Exits: Trail under the median for conservative exits or under the teal band for trend-following exits. Consider scaling at structure (prior swing highs) or at a fixed $R$ multiple.
Parameter guidance by timeframe.
* Scalping / LTF (1–5m): $N=30$–$60$, $q_0=0.20$, $k=2$–3, residual mode on, baseline EMA $L=20$, adaptation $s=0.5$–0.7 to handle micro-vol spikes. Expect more signals; rely on latched logic to filter noise.
* Intraday swing (15–60m): $N=60$–$100$, $q_0=0.15$–0.20, $k=3$–4. Residual mode helps but is optional if the instrument trends cleanly. $s=0.3$–0.6.
* Swing / HTF (4H–D): $N=80$–$150$, $q_0=0.10$–0.18, $k=3$–5. Consider `SMA` baseline for smoother residuals and moderate adaptation $s=0.2$–0.4.
Baseline choice.
Use EMA for responsiveness (fast trend shifts) and SMA for stability (smoother residuals). Turning residual mode on is advantageous when price exhibits persistent drift; turning it off is useful when you explicitly want absolute bands.
How to time entries.
Prefer bar-close validation for both band recaptures and latched signals. If you must act intrabar, accept that crosses can “un-cross” before close; compensate with tighter stops or reduced size.
Risk management.
Position size to a fixed fractional risk per trade (e.g., 0.5–1.0% of equity). Define invalidation using structure (swing points) plus ATR. Avoid chasing when distance to the opposite band is small; reward-to-risk degrades rapidly once you are deep inside the distribution.
Combos and filters.
* Pair with a higher-timeframe median slope as a regime filter (trade only in the direction of the HTF median).
* Use band width relative to ATR as a range/trend gauge: unusually narrow bands suggest compression (mean-reversion bias); expanding bands suggest breakout potential (favor latched continuation).
* Volume or session filters (e.g., avoid illiquid hours) can materially improve execution.
Alerts for discretion.
Enable “Cross above Buy Level” / “Cross below Sell Level” for early notices and “Latched BUY/SELL” for conviction entries. Set alerts to “Once per bar close” to avoid noise.
Common pitfalls.
Do not interpret band touches as automatic signals; context matters. A strong trend will often ride the far band (“band walking”) and punish counter-trend fades—use the median slope and latched logic to separate trend from range. Do not oversmooth levels; you will lag breaks. Do not set $q$ too small or too large; extremes reduce statistical meaning and practical distance for stops.
A concise checklist.
1. Is the median flat (range) or sloped (trend)?
2. Is band width expanding or contracting vs ATR?
3. Are we near the tail level aligned with the intended trade?
4. For continuation: did the 3 steps for a latched signal complete?
5. Do stops and targets produce acceptable $R$ (≥1.5–2.0)?
6. Are you trading during liquid hours for the instrument?
Summary. ARQB provides statistically grounded, regime-aware bands and a disciplined, latched confirmation engine. Use the bands as objective context, the median as your equilibrium line, ATR adaptation to stay calibrated across regimes, and the latched logic to time higher-quality discretionary entries.
Disclaimer
No indicator guarantees profits. Adaptive Rolling Quantile Bands is a decision aid; always combine with solid risk management and your own judgment. Backtest, forward test, and size responsibly.
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Enhance your trading precision and confidence 🚀
Best regards
Chervolino
STBBT 📘 STBBT (Simple Two Bar Break Through)
Overview
STBBT plots breakout signals whenever the current bar breaks above or below the previous bar’s high/low.
It is a **simple and transparent breakout indicator**, designed to highlight every breakout event without complex filters.
If both directions are broken in the same bar, both signals are shown.
- "H" → Current bar’s high > Previous bar’s high
- "L" → Current bar’s low < Previous bar’s low
- Both can appear simultaneously on the same candle
---
Key Features
1. **Clear Breakout Logic**
• Detects when price moves beyond the previous candle’s range.
• High and Low breakouts are handled separately.
2. **Confirmation Options**
• Real-time mode: signals appear intrabar as soon as break occurs.
• Close-confirmation mode: signals appear only after bar close beyond previous high/low (reduces repainting).
3. **Visualization**
• "H" label above bars when high is broken.
• "L" label below bars when low is broken.
• Labels are gray with 60% transparency for a clean look.
• Optional guide lines for previous bar’s high/low.
4. **Dual Signal Support**
• If both high and low are broken in one bar, both H and L are displayed.
5. **Alerts**
• Alerts are available for both High and Low breakouts.
• Works in both real-time and close-confirmed modes.
---
How to Use
• Add STBBT to your TradingView chart.
• Choose between real-time or close-confirmed signals.
• Watch for H and L signals to identify momentum breakouts of the previous bar.
• Combine with other filters (trend, volume, higher timeframe) for stronger confirmation.
---
👉 In short:
**STBBT highlights simple, clean breakouts of the previous bar’s range.**
It shows H for high breaks, L for low breaks, and both if a candle breaks in both directions.
Market Imbalance Tracker (Inefficient Candle + FVG)# 📊 Overview
This indicator combines two imbalance concepts:
• **Squared Up Points (SUP)** – midpoints of large, "inefficient" candles that often attract price back.
• **Fair Value Gaps (FVG)** – 3-candle gaps created by strong impulse moves that often get "filled."
Use them separately or together. Confluence between a SUP line and an FVG boundary/midpoint is high-value.
---
# ⚡ Quick Start (2 minutes)
1. **Add to chart** → keep defaults (Percentile method, 80th percentile, 100-bar lookback).
2. **Watch** for dashed SUP lines to print after large candles.
3. **Toggle Show FVG** → see green/red boxes where gaps exist.
4. **Turn on alerts** → New SUP created, SUP touched, New FVG.
5. **Trade the reaction** → look for confluence (SUP + FVG + S/R), then manage risk.
---
# 🛠 Features
## 🔹 Squared Up Points (SUP)
• **Purpose:** Midpoint of a large candle → potential support/resistance magnet.
• **Detection:** Choose *Percentile* (adaptive) or *ATR Multiple* (absolute).
• **Validation:** Only plots if the preceding candle does not touch the midpoint (with tolerance).
• **Lifecycle:** Line auto-extends into the future; it's removed when touched or aged out.
• **Visual:** Horizontal dashed line (color/width configurable; style fixed to dashed if not exposed).
## 🔹 Fair Value Gaps (FVG)
• **Purpose:** 3-candle gaps from an impulse; price often revisits to "fill."
• **Detection:** Requires a strong directional candle (Marubozu threshold) creating a gap.
• **Types:**
- **Bullish FVG (Green):** Gap below; expectation is downward fill.
- **Bearish FVG (Red):** Gap above; expectation is upward fill.
• **Close Rules (if implemented):**
- *Full Fill:* Gap closes when the opposite boundary is tagged.
- *Midpoint Fill:* Gap closes when its midpoint is tagged.
• **Visual:** Colored boxes; optional split-coloring to emphasize the midpoint.
> **Note:** If a listed FVG option isn't visible in Inputs, you're on a lighter build; use the available switches.
---
# ⚙️ Settings
## SUP Settings
• **Candle Size Method:** Percentile (top X% of recent ranges) or ATR Multiple.
• **Candle Size Percentile:** e.g., 80 → top 20% largest candles.
• **ATR Multiple & Period:** e.g., 1.5 × ATR(14).
• **Percentile Lookback:** Bars used to compute percentile.
• **Lookback Period:** How long SUP lines remain eligible before auto-cleanup.
• **Touch Tolerance (%):** Buffer based on the inefficient candle's range (0% = exact touch).
## Line Appearance
• **Line Color / Width:** Customizable.
• **Style:** Dashed (fixed unless you expose a style input).
## FVG Settings (if present in your build)
• **Show FVG:** On/Off.
• **Close Method:** Full Fill or Midpoint.
• **Marubozu Wick Tolerance:** Max wick % of the impulse bar.
• **Use Split Coloring:** Two-tone box halves around midpoint.
• **Colors:** Bullish/Bearish, and upper/lower halves (if split).
• **Max FVG Age:** Auto-remove older gaps.
---
# 📈 How to Use
## Trading Applications
• **SUP Lines:** Expect reaction on first touch; use as S/R or profit-taking magnets.
• **FVG Fills:** Price frequently tags the midpoint/boundary before continuing.
• **Confluence:** SUP at an FVG midpoint/boundary + higher-timeframe S/R = higher quality.
• **Bias:** Clusters of unfilled FVGs can hint at path of least resistance.
## Best Practices
• **Timeframe:** HTFs for swing levels, LTFs for execution.
• **Volume:** High volume at level = stronger signal.
• **Context:** Trade with broader trend or at least avoid counter-trend without confirmation.
• **Risk:** Always pre-define invalidation; structures fail in chop.
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# 🔔 Alerts
• **New SUP Created** – When a qualifying inefficient candle prints a SUP midpoint.
• **SUP Touched/Invalidated** – When price touches within tolerance.
• **New FVG Detected** – When a valid gap forms per your rules.
> **Tip:** Set alerts *Once Per Bar Close* on HTFs; *Once* on LTFs to avoid noise.
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# 🧑💻 Technical Notes
• **Percentile vs ATR:** Percentile adapts to volatility; ATR gives consistency for backtesting.
• **FVG Direction Logic:** Gap above price = bearish (expect up-fill); below = bullish (expect down-fill).
• **Performance:** Limits on lines/boxes and auto-aging keep things snappy.
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# ⚠️ Limitations
• Imbalances are **context tools**, not signals by themselves.
• Works best with trend or clear impulses; expect noise in narrow ranges.
• Lower-timeframe gaps can be plentiful and lower quality.
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# 📌 Version & Requirements
• **Pine Script v6**
• Heavy drawings may require **TradingView Pro** or higher (object limits).
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*For best results, combine with your existing trading strategy and proper risk management.*
Fear & Greed Oscillator — LEAP Puts (v6, manual DMI/ADX)Fear & Greed Oscillator — LEAP Puts (v6, manual DMI/ADX) is a Puts-focused mirror of the Calls version, built to flag top risk and momentum rollovers for timing LEAP Put entries. It outputs a smoothed composite from −100 to +100 using slower MACD, manual DMI/ADX (Wilder), RSI and Stoch RSI extremes, OBV distribution vs. accumulation, and volume spike & direction, with optional Put/Call Ratio and IV Rank inputs. All thresholds, weights, and smoothing match the Calls script for 1:1 customization, and a component table shows what’s driving the score. Reading is simple: higher values = rising top-risk (red shading above “Top-Risk”); lower values = deep dip / bounce risk (green shading). Built-in alerts cover Top-Risk, Deep Dip, and zero-line crosses for clear, actionable cues.
Volume Weighted Average Price HPSIt helps you to get to know about the volume basis on monthly , yearly and so on.
Timeframe Shift AlertIf the higher timeframe flips bullish, you’ll get a notification like:
“✅ Higher TF (240) just flipped from Bearish → Bullish”
• If it flips bearish, you’ll get:
“❌ Higher TF (240) just flipped from Bullish → Bearish”
Breakout Signals This indicator is a Pine Script tool for identifying potential trading opportunities using breakout signals. It provides two distinct types of breakout alerts and calculates a potential price target for one of them.
### Breakout Signal Types
* **Lowest Low Breakout:** This signal is triggered when the current bar closes above the high of the previous bar, and that previous bar had the lowest low within a user-defined lookback period. This indicates a potential bullish reversal after a short-term downtrend.
* **Highest High Breakout:** This signal occurs when the current bar's close price exceeds the highest high recorded within a specified lookback period. This pattern suggests strong bullish momentum and a potential continuation of an uptrend.
### Visuals and Alerts
The indicator helps visualize these signals on the chart by highlighting the background of entry candles. It uses a light green background for the Lowest Low Breakout and a light yellow for the Highest High Breakout. A table is displayed on the chart to show the details of the most recent Lowest Low Breakout and its calculated target. Additionally, it provides an alert feature to notify users in real time when either of the breakout conditions is met.
Smart Money Windows- X7Smart Money Windows 📊💰
Unlock the secret moves of the big players! This indicator highlights key liquidity traps, smart money zones, and market kill zones for the Asian, London, and New York sessions. See where the pros hide their orders and spot potential price flips before they happen! 🚀🔥
Features:
Visual session boxes with high/low/mid levels 🟪🟫
NY session shifted 60 mins for precise timing 🕒
Perfect for spotting traps, inducements & smart money maneuvers 🎯
Works on Forex, crypto, and stocks 💹
Get in the “Smart Money Window” and trade like the pros! 💸🔑
By HH
Smart Money Windows- X7Smart Money Windows 📊💰
Unlock the secret moves of the big players! This indicator highlights key liquidity traps, smart money zones, and market kill zones for the Asian, London, and New York sessions. See where the pros hide their orders and spot potential price flips before they happen! 🚀🔥
Features:
Visual session boxes with high/low/mid levels 🟪🟫
NY session shifted 60 mins for precise timing 🕒
Perfect for spotting traps, inducements & smart money maneuvers 🎯
Works on Forex, crypto, and stocks 💹
Get in the “Smart Money Window” and trade like the pros! 💸🔑
By HH
EdgeFlow Pullback [CHE]EdgeFlow Pullback \ — Icon & Visual Guide (Deep Dive)
TL;DR (1-minute read)
⏳ Hourglass = Pending verdict. A countdown runs from the signal bar until your Evaluation Window ends.
✔ Checkmark (green) = OK. After the evaluation window, price (HLC3) is on the correct side of the EMA144 for that signal’s direction.
✖ Cross (red) = Fail. After the evaluation window, price (HLC3) is on the wrong side of the EMA144.
▲ / ▼ Triangles = the actual PB Long/Short signal bar (sequence completed in time).
Small lime/red crosses = visual markers when HLC3 crosses EMA144 (context, not trade signals).
Orange line = EMA144 (baseline/trend filter).
T3 line color = Context signal: green when T3 is below HLC3, red when T3 is above HLC3.
Icon Glossary (What each symbol means)
1) ⏳ Hourglass — “Pending / Countdown”
Appears immediately when a PB signal fires (Long or Short).
Shows `⏳ currentBars / EvaluationBars` (e.g., `⏳ 7/30`).
The label stays anchored at the signal bar and its original price level (it does not drift with price).
During ⏳ you get no verdict yet. It’s simply the waiting period before grading.
2) ✔ Checkmark (green) — “Condition met”
Appears after the Evaluation Window completes.
Logic:
Long signal: HLC3 (typical price) is above EMA144 → ✔
Short signal: HLC3 is below EMA144 → ✔
The label turns green and text says “✔ … Condition met”.
This is rules-based grading, not PnL. It tells you if the post-signal structure behaved as expected.
3) ✖ Cross (red) — “Condition failed”
Appears after the Evaluation Window completes if the condition above is not met.
Label turns red with “✖ … Condition failed”.
Again: rules-based verdict, not a guarantee of profit or loss.
4) ▲ “PB Long” triangle (below bar)
Marks the exact bar where the 4-step Long sequence completed within the allowed window.
That bar is your signal bar for Long setups.
5) ▼ “PB Short” triangle (above bar, red)
Same as above, for Short setups.
6) Lime/Red “+” crosses (tiny cross markers)
Lime cross (below bar): HLC3 crosses above EMA144 (crossover).
Red cross (above bar): HLC3 crosses below EMA144 (crossunder).
These crosses are context markers; they’re not entry signals by themselves.
The Two Clocks (Don’t mix them up)
There are two different time windows at play:
1. Signal Window — “Max bars for full sequence”
A pullback signal (Long or Short) only fires if the 4-step sequence completes within this many bars.
If it takes too long: reset (no signal, no triangle, no label).
Purpose: avoid stale setups.
2. Evaluation Window — “Evaluation window after signal (bars)”
Starts after the signal bar. The label shows an ⏳ countdown.
When it reaches the set number of bars, the indicator checks whether HLC3 is on the correct side of EMA144 for the signal direction.
Then it stamps the signal with ✔ (OK) or ✖ (Fail).
Timeline sketch (Long example):
```
→ ▲ PB Long at bar t0
Label shows: ⏳ 0/EvalBars
t0+1, t0+2, ... t0+EvalBars-1 → still ⏳
At t0+EvalBars → Check HLC3 vs EMA144
Result → ✔ (green) or ✖ (red)
(Label remains anchored at t0 / signal price)
```
What Triggers the PB Signal (so you know why triangles appear)
LONG sequence (4 steps in order):
1. T3 falling (the pullback begins)
2. HLC3 crosses under EMA144
3. T3 rising (pullback ends)
4. HLC3 crosses over EMA144 → PB Long triangle
SHORT sequence (mirror):
1. T3 rising
2. HLC3 crosses over EMA144
3. T3 falling
4. HLC3 crosses under EMA144 → PB Short triangle
If steps 1→4 don’t complete in time (within Max bars for full sequence), the sequence is abandoned (no signal).
Lines & Colors (quick interpretation)
EMA144 (orange): your baseline trend filter.
T3 (green/red):
Green when T3 < HLC3 (price above the smoothed path; often supportive in up-moves)
Red when T3 > HLC3 (price below the smoothed path; often pressure in down-moves)
HLC3 (gray): the typical price the logic uses ( (H+L+C)/3 ).
Label Behavior (anchoring & cleanup)
Each signal creates one label at the signal bar with ⏳.
The label is position-locked: it stays at the same bar index and y-price it was born at.
After the evaluation check, the label text and color update to ✔/✖, but position stays fixed.
The indicator keeps only the last N labels (your “Show only the last N labels” input). Older ones are deleted to reduce clutter.
What You Can (and Can’t) Infer from ✔ / ✖
✔ OK: Structure behaved as intended during the evaluation window (HLC3 finished on the correct side of EMA144).
Inference: The pullback continued in the expected direction post-signal.
✖ Fail: Structure ended up opposite the expectation.
Inference: The pullback did not continue cleanly (chop, reversal, or insufficient follow-through).
> Important: ✔/✖ is not profit or loss. It’s an objective rule check. Use it to identify market regimes where your entries perform best.
Input Settings — How they change the visuals
T3 length:
Shorter → faster turns, more signals (and more noise).
Longer → smoother turns, fewer but cleaner sequences.
T3 volume factor (0–1, default 0.7):
Higher → more curvature/smoothing.
Typical sweet spot: 0.5–0.9.
EMA length (baseline) default 144:
Smaller → faster baseline, more cross events, more aggressive signals.
Larger → slower, stricter trend confirmation.
Max bars for full sequence (signal window):
Smaller → only fresh, snappy pullbacks can signal.
Larger → allows slower pullbacks to complete.
Evaluation window (after signal):
Smaller → verdict arrives quickly (less tolerance).
Larger → gives the trade more time to prove itself structurally.
Show only the last N labels:
Controls chart clutter. Increase for more history, decrease for focus.
(FYI: The “Debug” toggle exists but doesn’t draw extra overlays in this version.)
Practical Reading Flow (how to use visuals in seconds)
1. Triangles catch your eye: ▲ for Long, ▼ for Short. That’s the setup completion.
2. ⏳ label starts—don’t judge yet; let the evaluation run.
3. Watch EMA slope and T3 color for context (trend + pressure).
4. After the window: ✔/✖ stamps the outcome. Log what the market was like when you got ✔.
Common “Why did…?” Questions
Q: Why did I get no triangle even though T3 turned and EMA crossed?
A: The 4 steps must happen in order and within the Signal Window. If timing breaks, the sequence resets.
Q: Why did my label stay ⏳ for so long?
A: That’s by design until the Evaluation Window completes. The verdict only happens at the end of that window.
Q: Why is ✔/✖ different from my PnL?
A: It’s a structure check, not a profit check. It doesn’t know your entries/exits/stops.
Q: Do the small lime/red crosses mean buy/sell?
A: No. They’re context markers for HLC3↔EMA crosses, useful inside the sequence but not standalone signals.
Pro Tips (turn visuals into decisions)
Entry: Use the ▲/▼ triangle as your trigger, in trend direction (check EMA slope/market structure).
Stop: Behind the pullback swing around the signal bar.
Exit: Structure levels, R-multiples, or a reverse HLC3↔EMA cross as a trailing logic.
Tuning:
Intraday/volatile: shorter T3/EMA + tighter Signal Window.
Swing/slow: default 144 EMA + moderate windows.
Learn quickly: Filter your chart to show only ✔ or only ✖ windows in your notes; see which sessions, assets, and volatility regimes suit the system.
Disclaimer
No indicator guarantees profits. Sweep2Trade Pro \ is a decision aid; always combine with solid risk management and your own judgment. Backtest, forward test, and size responsibly.
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Enhance your trading precision and confidence 🚀
Happy trading
Chervolino
20/40/60Displays three consecutive, connected range boxes showing high/low price ranges for customizable periods. Boxes are positioned seamlessly with shared boundaries for continuous price action visualization.
Features
Three Connected Boxes: Red (most recent), Orange (middle), Green (earliest) periods
Customizable Positioning: Set range length and starting offset from current bar
Individual Styling: Custom colors, transparency, and border width for each box
Display Controls: Toggle borders, fills, and line visibility
Use Cases
Range Analysis: Compare volatility across time periods, spot breakouts
Support/Resistance: Use box boundaries as potential S/R levels
Market Structure: Visualize recent price development and trend patterns
Key Settings
Range Length: Bars per box (default: 20)
Starting Offset: Bars back from current to position boxes (default: 0)
Style Options: Colors, borders, and visibility controls for each box
Perfect for traders analyzing consecutive price ranges and comparing current conditions to recent historical periods.
FVG Fusion – by EB | Smart Money ConceptsFVG Fusion – by EB is an advanced indicator based on Smart Money Concepts (SMC).
It automatically detects Fair Value Gaps (FVG) on multiple timeframes, along with key PDH/PDL (Daily Previous) and PWH/PWL (Weekly Previous) levels.
🔹 Key Features
Automatic detection of bullish and bearish FVGs
Multi-timeframe (M5 to D1)
PDH/PDL and PWH/PWL levels with lightning bolts
Configurable alerts when tapping on a FVG
Customizable colors, thicknesses, and automatic clearing.
💡 Ideal for traders who use Price Action and SMC to identify imbalances and high-probability zones.
MuLegend's NQ 1 Min Sniper Entry Set up!enter after the retest, and ride it to the next structure point!
MuLegend's NQ 1m Break & Retest Sniper (clean)This indicator will mos def alert you when on NQ 1 minute time frame, to ENTER, AFTER retest:
1) if its' a bullish retest: enter on the candle HIGHER than the retest candle, with the stop loss, under the retest candle, and target is the next structure point.
2) If it's a bearish retest candle: enter on the candle LOWER than the retest candle, with the stop lost above the retest candle, and your target is the next structure point.
MuLegend
Follow me on IG @ atltime2shine
Justin's Bitcoin Power Law PredictorJustin's MSTR Powerlaw Price Predictor is a Pine Script v6 indicator for TradingView that adapts Giovanni Santostasi’s Bitcoin power law model to forecast MicroStrategy (MSTR) stock prices. Using the formula Price = A * (daysSinceGenesis)^B, it calculates fair, upper, and floor prices with constants A_fair = 1.16e-17, A_floor = 0.42e-17, and B = 5.82, starting from Bitcoin’s genesis (January 3, 2009). The script plots these prices, displays values in a table.
Source: www.ccn.com
Justin's MSTR Powerlaw Price PredictorJustin's MSTR Powerlaw Price Predictor is a Pine Script v6 indicator for TradingView that adapts Giovanni Santostasi’s Bitcoin power law model to forecast MicroStrategy (MSTR) stock prices. The price prediction is based on the the formula published in this article:
www.ccn.com
