AMD [TakingProphets]Overview
The AMD indicator is a real-time, high-resolution tool designed for traders following ICT methodology who want a clear visualization of higher timeframe (HTF) candles directly on their lower timeframe charts.
It overlays current HTF structure, including open, high, low, and close projections, allowing traders to align intraday decisions with institutional price delivery — all without switching timeframes.
Concept & Background
In ICT concepts, market behavior often follows a pattern of accumulation, manipulation, and distribution. Understanding these phases is essential for anticipating when price is likely to expand or reverse.
AMD automates this process by:
-Overlaying HTF candles directly on your lower timeframe chart.
-Projecting live levels like the current open, high, low, and close to map out evolving bias.
-Helping traders see whether price is accumulating orders, engineering liquidity sweeps, or distributing aggressively.
Key Features
Live HTF Candle Overlay
-Displays the full HTF candle — body, wicks, and directional bias — on your active chart in real time.
-Perfect for traders aligning intraday setups with broader HTF context.
Dynamic HTF Price Projections
-Plots the evolving open, high, low, and close for the current HTF candle.
-Each projection can be customized by color, style, labels, and visibility to fit your workflow.
Full Customization Control
-Adjust candle body widths, wick styles, and transparency.
-Configure projection lines and time labels in both 12h and 24h formats.
-Includes an optional Info Box showing instrument, timeframe, and session context.
Session Timing & Labeling
-Smart timestamping marks the start and close of each HTF candle.
-Helps traders anticipate potential expansions or reversals during killzones or liquidity events.
How to Use It
Select Your HTF Context
-Choose any timeframe overlay (e.g., 1H, 4H, 1D) to match your trading model.
-Monitor Live HTF Levels
-Watch how price interacts with current HTF highs, lows, and equilibrium levels in real time.
-Integrate With ICT Concepts
-Use alongside tools like SMT divergence, Order Blocks, or Liquidity Levels for confirmation and context.
-Refine Intraday Entries
-Check whether price is expanding in your favor before entering positions.
Best Practices
Combine AMD with ICT killzone sessions to monitor HTF behavior during high-liquidity periods.
Use it alongside correlated SMT divergence tools for stronger directional bias confirmation.
Who It’s For
Scalpers anchoring quick entries to HTF sentiment.
Intraday traders syncing 5m/15m setups with 1H/4H context.
Swing traders monitoring HTF ranges without switching charts.
Educators & analysts needing clean visual overlays for teaching and content creation.
Why It’s Useful
AMD doesn’t provide trading signals or predictive guarantees. Instead, it offers a clean, structured view of HTF price delivery — enabling traders to understand institutional intent as it unfolds and manage their execution with greater confidence.
"ict" için komut dosyalarını ara
Scalp Sense AI# Scalp Sense AI (No Repaint)
**Adaptive trend & reversal detector with an AI-driven score, multi-timeframe confirmations, robust volume filters, and a purpose-built Scalping Mode.**
Signals are generated **only on bar close** (no repaint), include structured alert payloads for webhooks, and come with optional ATR-based TP/SL visualization for study and validation.
---
## What it is (in one paragraph)
**Scalp Sense AI** combines classic market structure (DI/ADX, EMA, SMA, Keltner, ATR) with a continuous **AI Score** that fuses RSI normalization, EMA distance (in ATR units), and DI edge into a single, volatility-aware signal. It adaptively gates **trend** and **reversal** entries, applies **HTF confirmation** without lookahead, and enforces **guard rails** (e.g., strong-trend reversal blocking) unless a high-confidence AI override and volume confirmation are present. **Scalping Mode** compresses reaction times and adds micro price-action cues (wick rejections, micro-EMA crosses, small engulfing) to surface more—but disciplined—opportunities.
---
## Non-Repainting Design
* All signals, markers, state, and alerts are computed **after bar close** using `barstate.isconfirmed`.
* HTF data are requested with `lookahead_off`.
* No “future-peeking” constructs are used.
* Result: signals do **not** change after the candle closes.
---
## How the engine works (pipeline overview)
1. **Base metrics**
* **RSI**, **EMA**, **ATR** (+ ATR SMA for regime/volatility), **SMA long & short**, **Keltner** (EMA ± ATR×mult).
* **Manual DI/ADX** for fine control (DM+, DM−, true range smoothing).
2. **Volatility regime**
* Compares ATR to its SMA and scales thresholds by √(ATR/ATR\_SMA) → robust “high\_vol” gating.
3. **Volume & flow**
* **Volume Z-score**, **OBV slope**, and **MFI** (all computed manually) to confirm impulses and filter weak reversals.
4. **Higher-Timeframe confirmation (optional)**
* Imports HTF **PDI/MDI/ADX** and **SMA** (no lookahead) to require alignment when enabled.
5. **AI Score**
* Weighted fusion of **RSI (normalized around 0)**, **EMA distance (in ATR)**, and **DI edge**.
* Smoothed; then its **mean (μ)** and **volatility (σ)** are estimated to form **adaptive bands** (hi/lo), with optional **hysteresis**.
* **Debounce** (M in N bars) avoids flicker; **bias state** persists until truly invalidated.
6. **Signal logic**
* **Trend entries** require AI bias + trend confirmations (DI/ADX/SMA, HTF if enabled), volatility OK, and **anti-breakout** filter.
* **Reversal entries** come in **core**, **early**, and **scalp** flavors (progressively more frequent), guarded by strong-trend blocks that an **AI+volume+ADX-cooling override** can bypass.
7. **Scalping Mode**
* Adaptive parameter contraction (shorter lengths), gentler guards, micro-patterns (wick/engulf/micro-EMA cross), and reduced cooldown to increase high-quality opportunities.
8. **Cooldown & state**
* One signal per side after a configurable spacing in bars; internal “last direction” avoids clustering.
9. **Visualization & alerts**
* **Triangles** for trend, **circles** for reversals (offset by ATR to avoid overlap).
* **Single-line alert payload** (BUY/SELL, reason, AI, volZ, ADX) ready for webhooks.
---
## Signals & visualization
* **Trend Long/Short** → triangle markers (above/below) when:
* AI bias aligns with trend confirmations (DI edge, ADX above threshold, price vs long SMA, optional HTF alignment).
* Volatility regime agrees; **anti-breakout** prevents entries exactly at lookback highs/lows.
* **Reversal Long/Short** → circular markers when:
* **Core**: AI near “loose” band, OBV/MFI/volZ supportive, ADX cooling, DI spread relaxed, PA confirms (crosses/div).
* **Early**: anticipatory patterns (Keltner exhaustion, simple RSI “quasi-divergence”).
* **Scalp**: micro-EMA cross, wick rejection, mini-engulfing, with relaxed guards but AI/volume still in the loop.
* **Markers appear only on the bar that actually emitted the signal** (no repaint); offsets use ATR so shapes don’t overlap.
---
## Alerts (ready for webhooks)
Enable “**Any alert() function call**” and you’ll receive compact, single-line payloads once per bar:
```
action=BUY;reason=reversal-early;ai=0.1375;volZ=0.82;adx=27.5
action=SELL;reason=trend;ai=-0.2210;volZ=0.43;adx=31.9
```
* `action`: BUY / SELL
* `reason`: `trend` | `reversal-core` | `reversal-early` | `reversal-scalp`
* `ai`: current smoothed AI Score at signal bar
* `volZ`: volume Z-score
* `adx`: current ADX
---
## Inputs (exhaustive)
### 1) Core Inputs
* **RSI Length (Base)** (`rsi_length_base`, int)
Base RSI lookback. Shorter = more reactive; longer = smoother.
* **RSI Overbought Threshold** (`rsi_overbought`, int)
Informational for context; RSI is used normalized in the AI fusion.
* **RSI Oversold Threshold** (`rsi_oversold`, int)
Informational; complements visual context.
* **EMA Length (Base)** (`ema_length_base`, int)
Primary adaptive mean; also used for Keltner mid and distance metric.
* **ATR Length (Base)** (`atr_length_base`, int)
Volatility unit for Keltner, SL/TP (debug), and regime detection.
* **ATR SMA Length** (`atr_sma_len`, int)
Smooth baseline for ATR regime; supports “high\_vol” logic.
* **ATR Multiplier Base** (`atr_mult_base`, float)
Scales volatility gating (sqrt-scaled); higher = tighter high-vol requirement.
* **Disable Volatility Filter** (`disable_volatility_check`, bool)
Bypass volatility gating if true.
* **Price Change Period (bars)** (`price_change_period_base`, int)
Simple momentum check (+/−% over N bars) used in trend validation.
* **Base Cooldown Bars Between Signals** (`signal_cooldown_base`, int ≥ 0)
Minimum bars to wait between signals (per side).
* **Trend Confirmation Bars** (`trend_confirm_bars`, int ≥ 1)
Require persistence above/below long SMA for this many bars.
* **Use Higher Timeframe Confirmation** (`use_higher_tf`, bool)
Turn on/off HTF alignment (no repaint).
* **Higher Timeframe for Confirmation** (`higher_tf`, timeframe)
E.g., “60” to confirm M15 with H1; used for HTF PDI/MDI/ADX and SMA.
* **TP as ATR Multiple** (`tp_atr_mult`, float)
For **visual debug** only (drawn after entries); not an order manager.
* **SL as ATR Multiple** (`sl_atr_mult`, float)
For visual debug only.
* **Enable Scalping Mode** (`scalping_mode`, bool)
Compresses lengths/thresholds, unlocks micro-PA modules, reduces cooldown.
* **Show Debug Lines** (`show_debug`, bool)
Plots AI bands, DI/ADX, EMA/SMA, Keltner, vol metrics, and TP/SL (debug).
### 2) AI Score & Thresholds
* **AI Score Smooth Len** (`ai_len`, int)
EMA smoothing over the raw fusion.
* **AI Volatility Window** (`ai_sigma_len`, int)
Window to estimate AI mean (μ) and standard deviation (σ).
* **K High (sigma)** (`ai_k_hi`, float)
Upper band width (σ multiplier) for strong threshold.
* **K Low (sigma)** (`ai_k_lo`, float)
Lower band width (σ multiplier) for loose threshold.
* **Debounce Window (bars)** (`ai_debounce_m`, int ≥ 1)
Rolling window length used by the confirm counter.
* **Min Bars>Thr in Window** (`ai_debounce_n`, int ≥ 1)
Minimum confirmations inside the debounce window to validate a state.
* **Use Hysteresis Thresholds** (`ai_hysteresis`, bool)
Requires crossing back past a looser band to exit bias → fewer whipsaws.
* **Weight DI Edge (0–1)** (`ai_weight_di`, float)
Importance of DI edge within the fusion.
* **Weight EMA Dist (0–1)** (`ai_weight_ema`, float)
Importance of EMA distance (in ATR units).
* **Weight RSI Norm (0–1)** (`ai_weight_rsi`, float)
Importance of normalized RSI.
* **Sensitivity (0–1)** (`sensitivity`, float)
Contracts/expands bands (higher = more sensitive).
### 3) Volume Filters
* **Volume MA Length** (`vol_ma_len`, int)
Baseline for volume Z-score.
* **Volume Z-Score Window** (`vol_z_len`, int)
Std-dev window for Z-score; larger = fewer volume “spikes”.
* **Reversal: Min Volume Z for confirm** (`vol_rev_min_z`, float)
Minimum Z required to validate reversals (adaptively relaxed in scalping).
* **OBV Slope Lookback** (`obv_slope_len`, int)
Rising/falling OBV over this window supports bull/bear confirmations.
* **MFI Length** (`mfi_len`, int)
Money Flow Index lookback (manual calculation).
### 4) Filters (Breakout / ADX / Reversal)
* **Enable Breakout Filter** (`enable_breakout_fil`, bool)
Avoid trend entries at lookback highs/lows.
* **Breakout Lookback Bars** (`breakout_lookback`, int ≥ 1)
Window for the anti-breakout guard.
* **Base ADX Length** (`adx_length_base`, int)
Lookback for DI/ADX smoothing (also adapted in Scalping Mode).
* **Base ADX Threshold** (`adx_threshold_base`, float)
Minimum ADX to validate trend context (scaled in Scalping Mode).
* **Enable Reversal Filter** (`enable_rev_filter`, bool)
Master switch for reversal logic.
* **Max ADX for Reversal** (`rev_adx_max`, float)
Hard cap: above this ADX, reversals are blocked (unless overridden by AI if allowed in Guards).
### 5) Reversal Guard (regime protection & overrides)
* **Strong Trend: ADX add-above Thr** (`guard_adx_add`, float)
Extra ADX above `adx_threshold` to mark “strong” trend.
* **Strong Trend: min DI spread** (`guard_spread_min`, float)
Minimum DI separation to consider a trend “dominant”.
* **Require ADX drop from window max (%)** (`guard_adx_drop_min_pct`, float 0–1)
ADX must drop at least this fraction from its window maximum to consider “cooling”.
* **Regime Window (bars)** (`guard_regime_len`, int ≥ 10)
Window over which ADX max is measured for the “cooling” check.
* **EMA Slope Lookback** (`guard_slope_len`, int ≥ 2)
EMA slope horizon used alongside Keltner for strong-trend identification.
* **Keltner Mult (ATR)** (`guard_kc_mult`, float)
Keltner width for strong trend bands and exhaustion checks.
* **HTF Reversal Block Mode** (`htf_block_mode`, string: `Off` | `On` | `AI-controlled`)
* `Off`: never block by HTF.
* `On`: block reversals whenever HTF is strong.
* `AI-controlled`: block **unless** AI+volume+ADX-cooling override criteria are met.
* **AI-controlled: allow AI override** (`ai_htf_override`, bool)
Enables the override mechanism in `AI-controlled` mode.
* **AI override multiplier (vs band\_hi)** (`ai_override_mult`, float)
Strength needed beyond the high band to count as “strong AI”.
* **AI override: min bars beyond strong thr** (`ai_override_min_bars`, int ≥ 1)
Debounce on the override itself.
### 6) Markers
* **Reversal Circle ATR Offset** (`rev_marker_offset_atr`, float ≥ 0)
Vertical offset for reversal circles; trend triangles use a separate (internal) offset.
### 7) Scalping Mode Tuning
* **Reversal aggressiveness (0–1)** (`scalp_rev_aggr`, float)
Higher = looser guards and stronger AI sensitivity.
* **Wick: body multiple (bull/bear)** (`scalp_wick_body_mult`, float)
Wick must be at least this multiple of body to count as rejection.
* **Wick: ATR multiple (min)** (`scalp_wick_atr_mult`, float)
Minimal wick length in ATR units.
* **Micro EMA factor (vs EMA base)** (`scalp_ema_fast_factor`, float 0.2–0.9)
Fast EMA length = base EMA × factor (rounded/int).
* **Relax breakout filter in scalping** (`scalp_breakout_relax`, bool)
Lets more trend entries through in scalping context.
### 8) ICT-style SMA (bases)
* **ICT SMA Long Length (Base)** (`sma_long_len_base`, int)
Long-term baseline for regime/trend.
* **ICT SMA Short1 Length (Base)** (`sma_short1_len_base`, int)
Short baseline for price-action crosses.
* **ICT SMA Short2 Length (Base)** (`sma_short2_len_base`, int)
Companion short baseline used in PA cross checks.
> **Adaptive “effective” values:** When **Scalping Mode** is ON, the script internally shortens multiple lengths (RSI/EMA/ATR/ADX/μσ windows, SMAs) and gently relaxes guards (ADX drop %, DI spread, volume Z, override thresholds), reduces cooldown/confirm bars, and optionally relaxes the breakout filter—so you get **more frequent but still curated** signals.
---
## Plots & debug (optional)
* DI+/DI−, ADX (curr + HTF), EMA, long SMA, Keltner up/down (when strong), AI Score, AI mean, AI bands (hi/lo; low plots only when hysteresis is on), Volume MA and Z-score, and ATR-based TP/SL guide (after entries).
* These are **study aids**; the indicator does not manage trades.
---
## Recommended use
* **Timeframes**:
* Scalping Mode: M1–M15.
* Standard Mode: M15–H1 (or higher).
* **Markets**: Designed for liquid FX, indices, metals, and large-cap crypto.
* **Chart type**: Standard candles recommended (Heikin-Ashi alters inputs and hence signals).
* **Alerts**: Use “Any alert() function call”. Parse the key/value payloads server-side.
---
## Good to know
* **Why some alerts don’t draw shapes retroactively**: markers are drawn **only on** the bar that emitted the signal (no repaint by design).
* **Why a reversal didn’t fire**: strong-trend guards + HTF block may have been active; check ADX, DI spread, Keltner position, EMA slope, and whether AI override criteria were met.
* **Too many / too few signals**: tune **Scalping Mode**, `signal_cooldown_base`, AI bands (`ai_k_hi/lo`, `sensitivity`), volume Z (`vol_rev_min_z`), and guards (`rev_adx_max`, `guard_*`).
---
## Disclaimer
This is an **indicator**, not a strategy or an execution system. It does not place, modify, or manage orders. Markets carry risk—validate on historical data and demo before any live decisions. No performance claims are made.
---
### Version
**Scalp Sense AI v11.5** — Adaptive AI bands with hysteresis/debounce, HTF no-lookahead confirmations, guarded reversal logic with AI override, full volume suite (Z, OBV slope, MFI), anti-breakout filter, and a dedicated Scalping Mode with micro-PA cues.
AI Strat ATR Dinamico + ADX + Trend Adaptivo (No Repaint)Below is a fully self-contained, English-language description of every input, function, and logical block inside the “AI Strat ATR Dinamico + ADX + Trend Adaptivo (No Repaint)” indicator. You can copy and paste this into TradingView’s “Description” field when you publish, without exposing any Pine code.
---
## Indicator Name and Purpose
**Name (Short Title):**
AI Strat Adaptive v3 (NoRepaint)
**Overview:**
This indicator combines multiple technical tools—RSI, EMA, ATR (with a dynamic multiplier), ADX/DI, and an “AI‐style” scoring mechanism—to generate trend-filtered and reversal signals. It also optionally confirms signals on a higher timeframe, dynamically adjusts its sensitivity based on volatility, and plots intrabar stop‐loss (SL) and take‐profit (TP) levels derived from ATR. Special care has been taken to ensure that no signals “repaint” (i.e., once drawn on a closed bar, they never disappear or shift).
---
## 1. Main Inputs
All of the inputs appear in the Settings dialog for the published indicator. Below is a detailed explanation of each input, grouped by logical category.
### A. RSI & EMA Base Parameters
1. **RSI Length (Base)**
* **Input type:** Integer (default 14)
* **Description:** Number of bars used to calculate the Relative Strength Index (RSI). A shorter RSI reacts more quickly to price changes; a longer RSI is smoother.
2. **RSI Overbought Threshold**
* **Input type:** Integer (default 60)
* **Description:** If the RSI value rises above this level, it contributes a “sell” signal component. You can adjust this (e.g., 70) to make your system more conservative.
3. **RSI Oversold Threshold**
* **Input type:** Integer (default 40)
* **Description:** If the RSI falls below this level, it contributes a “buy” signal component. Raising this threshold (e.g., 50) makes the strategy more aggressive in seeking reversals.
4. **EMA Length (Base)**
* **Input type:** Integer (default 20)
* **Description:** Number of bars for the Exponential Moving Average (EMA). A shorter EMA will produce more frequent crossovers, a longer EMA is smoother.
### B. ATR & Volatility Filter Parameters
5. **ATR Length (Base)**
* **Input type:** Integer (default 14)
* **Description:** Number of bars to calculate Average True Range (ATR). The ATR is used both for measuring volatility and for dynamic SL/TP levels.
6. **ATR SMA Length**
* **Input type:** Integer (default 50)
* **Description:** Number of bars to compute a Simple Moving Average of the ATR itself. This gives a baseline of “normal” volatility. If ATR rises significantly above this SMA, the indicator treats the market as “high volatility.”
7. **ATR Multiplier Base**
* **Input type:** Float (default 1.2, step 0.1)
* **Description:** Base multiplier for ATR when filtering for volatility. The actual threshold is computed as `ATR_SMA × (ATR_Multiplier Base) × sqrt(current_ATR / ATR_SMA)`. In other words, the multiplier becomes larger if volatility is rising, and smaller if volatility is falling.
8. **Disable Volatility Filter**
* **Input type:** Boolean (default false)
* **Description:** If enabled (true), the indicator will ignore any volatility‐based filtering, using signals regardless of ATR behavior. If disabled (false), signals only fire when ATR > (ATR\_SMA × dynamic multiplier).
### C. Price-Change & “AI Score” Parameters
9. **Price Change Period (bars)**
* **Input type:** Integer (default 3)
* **Description:** The number of bars back to measure percentage price change. Used to ensure that a “trend” signal is accompanied by a sufficiently positive (for longs) or negative (for shorts) price movement over this many bars.
10. **Base AI Score Threshold**
* **Input type:** Float (default 0.1)
* **Description:** The indicator computes a composite “AI-style” score by combining the RSI signal (overbought/oversold) and an EMA crossover signal. Only if the absolute value of that composite score exceeds this threshold will a trend signal be eligible. Raising it makes signals rarer but (potentially) higher-conviction.
### D. SMA “ICT” Trend Filter Parameters
11. **ICT SMA Long Length (Base)**
* **Input type:** Integer (default 50)
* **Description:** Number of bars for the “long” Simple Moving Average (SMA) used in the internal trend filter. Typically, price must be above this SMA (and ADX must be strong) to confirm an uptrend, or below it (and ADX strong) to confirm a downtrend.
12. **ICT SMA Short1 Length (Base)**
* **Input type:** Integer (default 10)
* **Description:** Secondary “fast” SMA used both for reversal logic (e.g., price crossing above it can count as a bullish reversal) and part of the internal trend confirmation.
13. **ICT SMA Short2 Length (Base)**
* **Input type:** Integer (default 20)
* **Description:** A second “medium” SMA used for reversal triggers (e.g., crossovers or crossunders alongside RSI conditions).
### E. ADX & DI Parameters
14. **Base ADX Length**
* **Input type:** Integer (default 14)
* **Description:** Number of bars for the ADX (Average Directional Index) moving averages, which measure trend strength. The same length is used for +DI and –DI smoothing.
15. **Base ADX Threshold**
* **Input type:** Float (default 25.0, step 0.5)
* **Description:** If ADX > this threshold and +DI > –DI, we consider an uptrend; if ADX > this threshold and –DI > +DI, we consider a downtrend. Raising this value demands stronger trends to qualify.
### F. Sensitivity & Cooldown
16. **Sensitivity (0–1)**
* **Input type:** Float between 0.0 and 1.0 (default 0.5)
* **Description:** A general “mixture” parameter used internally to weight how aggressively the indicator leans into trend versus reversal. In practice, the code uses it to fine-tune exact thresholds for switching between trend and reversal conditions. You can leave it at 0.5 unless you want to bias more heavily toward either regime.
17. **Base Cooldown Bars Between Signals**
* **Input type:** Integer (default 5, min 0)
* **Description:** Once a long or short signal fires, the indicator will wait at least this many bars before allowing a new signal in the same direction. Prevents “signal flipping” on each bar. A higher number forces fewer, more spaced-out entries.
18. **Trend Confirmation Bars**
* **Input type:** Integer (default 3, min 1)
* **Description:** After the directional filters (+DI/–DI cross, price vs. SMA), the indicator still requires that price remains on the same side of the long SMA for at least this many consecutive bars before confirming “trend up” or “trend down.” Larger values smooth out false breakouts but may lag signals.
### G. Higher Timeframe Confirmation
19. **Use Higher Timeframe Confirmation**
* **Input type:** Boolean (default true)
* **Description:** If true, the indicator will request a block of values (SMA, +DI, –DI, ADX) from a higher timeframe (default 60 minutes) and require that the higher timeframe is also in agreement (strong uptrend or strong downtrend) before confirming your current-timeframe trend. This helps filter out lower-timeframe noise.
20. **Higher Timeframe (TF) for Confirmation**
* **Input type:** Timeframe (default “60”)
* **Description:** The chart timeframe (e.g., 5, 15, 60 minutes) whose trend conditions must also be true. It’s sent through a `request.security(..., lookahead=barmerge.lookahead_off)` call so that it never “paints ahead.”
### H. Dynamic TP/SL Parameters
21. **TP as ATR Multiple**
* **Input type:** Float (default 2.0, step 0.1)
* **Description:** When a trade is open, the “take-profit” price is determined by looking at the highest high (for longs) or lowest low (for shorts) observed since entry, and then plotting a cross (“X”) at that level when the trend finally flips. This is purely for display. However, separate from that, this parameter can be adapted if you want a strictly ATR–based TP. In the “Minimal” version, TP is ≈ (highest high) once trend inverts, but you could rewrite it to use `entry_price + ATR×TP_Multiplier`.
22. **SL as ATR Multiple**
* **Input type:** Float (default 1.0, step 0.1)
* **Description:** While in a trade, a trailing SL line is plotted each bar. Its value is always `entry_price ± (ATR × SL_Multiplier)`. When the trend inverts, the SL no longer updates, and you see it on the chart.
### I. Display and Mode Options
23. **Show Debug Lines**
* **Input type:** Boolean (default true)
* **Description:** When enabled, the indicator will plot all intermediate lines—ATR SMA, ATR Threshold, +DI, –DI, ADX (current and HTF), HTF SMA, etc.—so that you can diagnose exactly what’s happening. Turn this off to hide all debug information and only see entry/exit shapes.
24. **Enable Scalping Mode**
* **Input type:** Boolean (default false)
* **Description:** If true, many of the “base” parameters are halved (e.g., RSI length becomes 7 instead of 14, ATR length becomes 7 instead of 14, ADX length becomes 7, etc.), and the ADX threshold is multiplied by 0.8. This makes all oscillators and moving averages more reactive, suited for very short-term (scalping) setups.
---
## 2. Core Calculation Blocks
Below is a high-level description of each logical block (in code order), translated from Pine into conceptual steps.
### A. Adjust Inputs if “Scalping Mode” Is On
If **Scalping Mode** = true, then:
* `RSI_Length` becomes `max(1, round(Base_RSI_Length / 2))`
* `EMA_Length` becomes `max(1, round(Base_EMA_Length / 2))`
* `ATR_Length` becomes `max(1, round(Base_ATR_Length / 2))`
* `Price_Change_Period` becomes `max(1, round(Base_Price_Change_Period / 2))`
* `SMA_Long_Length`, `SMA_Short1_Length`, and `SMA_Short2_Length` are each halved (minimum 1).
* `ADX_Length` = `max(1, round(Base_ADX_Length / 2))`
* `ADX_Threshold` = `Base_ADX_Threshold × 0.8`
* `Cooldown_Bars` = `max(0, round(Base_Cooldown_Bars / 2))`
Otherwise, all adjusted lengths = their base values.
### B. RSI, EMA & “AI Score” on Current Timeframe
1. **Compute RSI:**
* Uses the (possibly adjusted) `RSI_Length`.
* Denote this as `RSI_Value`.
2. **Compute ATR & Its SMA:**
* `ATR_Value` = `ta.atr(ATR_Length)`.
* `ATR_SMA` = `ta.sma(ATR_Value, ATR_SMA_Length)`.
* Then define `Volatility_Increase` = (`ATR_Value > ATR_SMA`).
* If the volatility has increased, the weighting of RSI vs. EMA changes.
3. **Compute Weights:**
* If `Volatility_Increase == true`, then:
* `RSI_Weight = 0.7`
* `EMA_Weight = 0.3`
* Otherwise:
* `RSI_Weight = 0.3`
* `EMA_Weight = 0.7`
4. **RSI Signal Component (`RSI_Sig`):**
* If `RSI_Value > RSI_Overbought`, then `RSI_Sig = –1`.
* Else if `RSI_Value < RSI_Oversold`, then `RSI_Sig = +1`.
* Otherwise, `RSI_Sig = 0`.
5. **EMA Value & Signal Component (`EMA_Sig`):**
* `EMA_Value` = `ta.ema(close, EMA_Length)`.
* `EMA_Sig = +1` if the current close crosses **above** the EMA; `EMA_Sig = –1` if the current close crosses **below** the EMA; else `0`.
6. **Compute Raw “AI Score”:**
$$
Raw\_AI = (RSI\_Sig \times RSI\_Weight)\;+\;(EMA\_Sig \times EMA\_Weight)
$$
Then,
$$
AI\_Score = \frac{Raw\_AI}{(RSI\_Weight + EMA\_Weight)}
$$
(This normalization ensures the score always ranges between –1 and +1 if both weights sum to 1.)
### C. Dynamic ATR Multiplier & Volatility Filter
1. **Volatility Factor:**
$$
Volatility\_Factor = \frac{ATR\_Value}{ATR\_SMA}
$$
2. **Dynamic ATR Multiplier:**
$$
ATR\_Multiplier = ATR\_Multiplier\_Base \times \sqrt{Volatility\_Factor}
$$
3. **High Volatility Condition (`High_Volatility`):**
* If `Disable_Volatility_Filter == true`, then treat `High_Volatility = true` always.
* Else, `High_Volatility = (ATR_Value > ATR_SMA × ATR_Multiplier)`.
### D. Price Change Percentage
* **Compute Price Change:**
$$
Price\_Change = \frac{(Close - Close )}{Close } \times 100
$$
* This is the percent return from `Price_Change_Period` bars ago to now.
* For a valid long‐trend signal, we require `Price_Change > 0`; for a short trend, `Price_Change < 0`.
### E. Local SMAs for Trend/Reversal Filters
* `SMA_Close_Long` = `ta.sma(close, SMA_Long_Length)`.
* `SMA_Close_Short1` = `ta.sma(close, SMA_Short1_Length)`.
* `SMA_Close_Short2` = `ta.sma(close, SMA_Short2_Length)`.
These three SMAs help define the “local trend” and reversal breakout points:
* **Primary Trend Filter:**
* Price must be above `SMA_Close_Long` for an uptrend filter, or below `SMA_Close_Long` for a downtrend filter.
* **Reversal Filter:**
* A bullish reversal is detected if **(RSI < Oversold AND close crosses above EMA)** OR **(RSI < Oversold AND close crosses above SMA\_Close\_Short1)**.
* A bearish reversal is detected if **(RSI > Overbought AND close crosses below EMA)** OR **(RSI > Overbought AND close crosses below SMA\_Close\_Short1)**.
### F. Manual +DI, –DI & ADX on Current Timeframe
Instead of relying on the built-in `ta.adx`, the script calculates DI and ADX manually. This makes it easier to replicate the exact logic on a higher timeframe via `request.security`. The steps are:
1. **Directional Movement (DM) Components:**
* `Up_Move` = `high – high `
* `Down_Move` = `low – low`
* `Plus_DM` = `Up_Move` if (`Up_Move > Down_Move` AND `Up_Move > 0`), else `0`
* `Minus_DM` = `Down_Move` if (`Down_Move > Up_Move` AND `Down_Move > 0`), else `0`
2. **True Range (TR) Components:**
* `TR1` = `high – low`
* `TR2` = `abs(high – close )`
* `TR3` = `abs(low – close )`
* `True_Range` = `max(TR1, TR2, TR3)`
3. **Smoothed Averages (RMA):**
* `Sm_TR` = `ta.rma(True_Range, ADX_Length)`
* `Sm_Plus` = `ta.rma(Plus_DM, ADX_Length)`
* `Sm_Minus`= `ta.rma(Minus_DM, ADX_Length)`
4. **Compute DI%:**
$$
Plus\_DI = \frac{Sm\_Plus}{Sm\_TR} \times 100,\quad
Minus\_DI = \frac{Sm\_Minus}{Sm\_TR} \times 100
$$
5. **DX and ADX:**
$$
DX = \frac{|Plus\_DI - Minus\_DI|}{Plus\_DI + Minus\_DI} \times 100,\quad
ADX = ta.rma(DX, ADX_Length)
$$
These values are referred to as `(plus_di, minus_di, adx_val)` for the current timeframe.
---
## 3. Higher Timeframe (HTF) Confirmation Function
If **Use Higher Timeframe Confirmation** is enabled, the script calls a single helper (Pine) function `f_htf` with two parameters: the ADX length and the SMA length (both taken from the “base” or “scaled” values). Internally, `f_htf` simply reruns the manual DI/ADX logic (same as above) on the higher timeframe’s bar data, and also includes that timeframe’s closing price and its SMA for trend comparison.
* **Request.Security Call:**
```
= request.security(
syminfo.tickerid,
higher_tf,
f_htf(adx_length, sma_long_len),
lookahead=barmerge.lookahead_off
)
```
* `lookahead=barmerge.lookahead_off` ensures that no HTF value “paints” early; you always see only confirmed HTF bars.
* The returned tuple provides:
1. `ht_close` = HTF closing price
2. `ht_sma` = HTF SMA of length `sma_long_len`
3. `ht_pdi` = HTF +DI percentage
4. `ht_mdi` = HTF –DI percentage
5. `ht_adx` = HTF ADX value
---
## 4. Trend & Reversal Filters (Current & HTF)
### A. Current-Timeframe Trend Filter
1. **Uptrend\_Basic (Current TF)**
$$
(plus\_di > minus\_di)\;\land\;(adx\_val > ADX\_Threshold)\;\land\;(close > SMA\_Close\_Long)
$$
2. **Downtrend\_Basic (Current TF)**
$$
(minus\_di > plus\_di)\;\land\;(adx\_val > ADX\_Threshold)\;\land\;(close < SMA\_Close\_Long)
$$
3. **Trend Confirmation by Bars:**
* `Bars_Since_Below` = number of bars since `close <= SMA_Close_Long`.
* `Bars_Since_Above` = number of bars since `close >= SMA_Close_Long`.
* If `Uptrend_Basic == true` AND `Bars_Since_Below ≥ Trend_Confirmation_Bars` → mark `Uptrend_Confirm = true`.
* If `Downtrend_Basic == true` AND `Bars_Since_Above ≥ Trend_Confirmation_Bars` → mark `Downtrend_Confirm = true`.
### B. Reversal Filters (Current TF)
1. **Bullish Reversal (`Rev_Bullish`):**
* If `(RSI < RSI_Oversold AND close crosses above EMA_Value)` OR
`(RSI < RSI_Oversold AND close crosses above SMA_Close_Short1)`
→ then `Rev_Bullish = true`.
2. **Bearish Reversal (`Rev_Bearish`):**
* If `(RSI > RSI_Overbought AND close crosses below EMA_Value)` OR
`(RSI > RSI_Overbought AND close crosses below SMA_Close_Short1)`
→ then `Rev_Bearish = true`.
### C. Higher-Timeframe Trend Filter (HTF)
1. **HTF Uptrend (`HT_Uptrend`):**
$$
(ht\_pdi > ht\_mdi)\;\land\;(ht\_adx > ADX\_Threshold)\;\land\;(ht\_close > ht\_sma)
$$
2. **HTF Downtrend (`HT_Downtrend`):**
$$
(ht\_mdi > ht\_pdi)\;\land\;(ht\_adx > ADX\_Threshold)\;\land\;(ht\_close < ht\_sma)
$$
3. **Combine Current & HTF:**
* If **Use\_HTF\_Confirmation == true**, then:
* `Uptrend_Confirm := Uptrend_Confirm AND HT_Uptrend`
* `Downtrend_Confirm := Downtrend_Confirm AND HT_Downtrend`
* Otherwise, just use the current timeframe’s `Uptrend_Confirm` and `Downtrend_Confirm`.
4. **Define `CurrentTrend` (Integer):**
* `CurrentTrend = +1` if `Uptrend_Confirm == true`.
* `CurrentTrend = –1` if `Downtrend_Confirm == true`.
* Otherwise, `CurrentTrend = 0`.
5. **Reset “One Trade Per Trend”:**
* There is a persistent variable `LastTradeTrend`.
* Every time `CurrentTrend` flips (i.e., `CurrentTrend != CurrentTrend `), the code sets `LastTradeTrend := 0`.
* That allows one new entry once the detected trend has changed.
---
## 5. One‐Time “Cooldown” Logic
* **`LastSignalBar`**
* A persistent integer (initially undefined).
* After each confirmed long or short entry, `LastSignalBar` is set to the bar index where that signal fired.
* **`Bars_Since_Signal`**
* If `LastSignalBar` is undefined, treat as a very large number (so that initial signals are always allowed).
* Otherwise, `Bars_Since_Signal = bar_index – LastSignalBar`.
* **Cooldown Check:**
* A new long (or short) can only be generated if `(Bars_Since_Signal > Signal_Cooldown)`.
* This prevents multiple signals in rapid succession.
---
## 6. Entry Conditions (No Repaint)
All of the conditions below are calculated “intrabar,” but the script only actually registers a **signal** on **bar close** (`barstate.isconfirmed`) so that signals never repaint.
### A. Trend‐Based “Raw” Conditions
1. **Trend\_Long\_Raw:**
$$
(AI\_Score > AI\_Score\_Threshold)\;\land\;Uptrend\_Confirm\;\land\;High\_Volatility\;\land\;(Price\_Change > 0)
$$
2. **Trend\_Short\_Raw:**
$$
(AI\_Score < -AI\_Score\_Threshold)\;\land\;Downtrend\_Confirm\;\land\;High\_Volatility\;\land\;(Price\_Change < 0)
$$
### B. Reversal “Raw” Conditions
1. **Rev\_Long\_Raw:**
$$
Rev\_Bullish\;\land\;(CurrentTrend \neq +1)
$$
2. **Rev\_Short\_Raw:**
$$
Rev\_Bearish\;\land\;(CurrentTrend \neq -1)
$$
### C. Combine Raw Signals
* `Raw_Long = Trend_Long_Raw OR Rev_Long_Raw`.
* `Raw_Short = Trend_Short_Raw OR Rev_Short_Raw`.
### D. Confirmed Long/Short Signal Flags
On each new bar **close** (`barstate.isconfirmed == true`):
* **Long\_Signal\_Confirmed** can fire if:
1. `Raw_Long == true`
2. `LastTradeTrend != +1` (we haven’t already taken a long in this same trend)
3. `Bars_Since_Signal > Signal_Cooldown`
If all three hold, then on this bar close the code sets:
* `Long_Signal = true`
* `LastTradeTrend := +1`
* `LastSignalBar := bar_index`
Otherwise, `Long_Signal := false` on this bar.
* **Short\_Signal\_Confirmed** works the same way but with `Raw_Short`, `LastTradeTrend != -1`, etc.
If triggered, it sets `Short_Signal = true`, `LastTradeTrend := -1`, and `LastSignalBar := bar_index`. Otherwise `Short_Signal := false`.
* **Important:** If the bar is still forming (`else` branch of `barstate.isconfirmed`), then both `Long_Signal` and `Short_Signal` are forced to `false`. This guarantees that no shape or alert appears until the bar actually closes.
---
## 7. Plotting Entry/Exit Shapes
1. **Trend Long Signal (Triangle Up)**
* Condition: `Long_Signal == true` **AND** `Trend_Long_Raw == true`.
* Appearance: A small, semi-transparent lime green triangle drawn **below** the bar.
2. **Trend Short Signal (Triangle Down)**
* Condition: `Short_Signal == true` **AND** `Trend_Short_Raw == true`.
* Appearance: A small, semi-transparent maroon triangle drawn **above** the bar.
3. **Reversal Long Signal (Circle)**
* Condition: `Long_Signal == true` **AND** `Rev_Long_Raw == true`.
* Appearance: A tiny, more transparent green circle drawn **below** the bar.
4. **Reversal Short Signal (Circle)**
* Condition: `Short_Signal == true` **AND** `Rev_Short_Raw == true`.
* Appearance: A tiny, more transparent red circle drawn **above** the bar.
Since `Long_Signal` and `Short_Signal` only ever become true at bar close, these shapes are never repainted or removed once drawn.
---
## 8. Unified Alert Message
* As soon as a new bar closes with either `Long_Signal` or `Short_Signal == true`, an alert message is sent:
* If `Long_Signal`, then `alert_msg = "action=BUY"`.
* If `Short_Signal`, then `alert_msg = "action=SELL"`.
* If neither, `alert_msg = ""` (no alert).
* The code calls `alert(alert_msg, freq=alert.freq_once_per_bar)` only if `barstate.isconfirmed` and `alert_msg` is non‐empty. This ensures exactly one alert per confirmed bar, no intrabar pops.
---
## 9. Dynamic TP/SL Logic (Minimal Implementation)
Once a long or short position is “open,” the script tracks these variables:
1. **Persistent Flags and Prices** (all persist between bars until reset):
* `InLong` (Boolean)
* `InShort` (Boolean)
* `Long_Max` (Float)
* `Short_Min` (Float)
* `Entry_Price` (Float)
2. **On Bar Close:**
* If `Long_Signal == true` →
* Set `InLong := true`,
* `Entry_Price := close` of that bar,
* `Long_Max := high ` (last bar’s high, so that we’re not using “future” data).
* If `Short_Signal == true` →
* Set `InShort := true`,
* `Entry_Price := close`,
* `Short_Min := low `.
3. **While `InLong == true`:**
* Continuously update `Long_Max = max(Long_Max, current high)` on each bar (intrabar, but finalized each close).
* Compute a dynamic SL:
$$
SL_{Long} = Entry\_Price - (ATR \times SL\_ATR\_Multiplier).
$$
* If **current trend** flips to non-uptrend (`CurrentTrend != +1`), mark `ExitLong = true`.
* Then the routine plots `TP_Long = Long_Max` as a cross (“X”) at that level.
* Set `InLong := false` so that no further changes to `Long_Max` or `Entry_Price` happen on future bars.
4. **While `InShort == true`:**
* Continuously update `Short_Min = min(Short_Min, current low)`.
* Compute a dynamic SL:
$$
SL_{Short} = Entry\_Price + (ATR \times SL\_ATR\_Multiplier).
$$
* If trend flips to non-downtrend (`CurrentTrend != –1`), mark `ExitShort = true`.
* Then the routine plots `TP_Short = Short_Min`.
* Set `InShort := false` to freeze those values.
5. **Plotting TP/SL if “Show Debug” is On:**
* **TP Shapes:**
* When `ExitLong == true`, plot a solid lime “X” at `TP_Long` (highest high).
* When `ExitShort == true`, plot a solid maroon “X” at `TP_Short` (lowest low).
* **SL Lines:**
* If still `InLong`, draw a thin red line at `SL_Long` on each bar.
* If still `InShort`, draw a thin green line at `SL_Short`.
Thus, your charts visually show the highest‐high take-profit cross for longs, the lowest-low take-profit cross for shorts, and a continuously updating trailing SL until the trend flips. Because all of this is triggered on confirmed bars, nothing “jumps around” after the fact.
---
## 10. Debug‐Only Plot Lines (When Enabled)
When **Show Debug Lines** = true, the indicator will also plot:
1. **ATR SMA (Orange):**
* The simple moving average of ATR over `ATR_SMA_Length`.
2. **ATR Threshold (Yellow):**
* `ATR_SMA × ATR_Multiplier` (the dynamically scaled threshold).
3. **+DI & –DI (Current TF):**
* +DI plotted as a green line, –DI plotted as a red line (opacity \~70%).
4. **ADX (Current TF, Blue):**
* A blue line for the present timeframe’s ADX.
5. **ADX Threshold (Gray):**
* A horizontal gray line showing `ADX_Threshold`.
6. **+DI & –DI (HTF, Darker Colors):**
* If HTF confirmation is on, “HTF +DI” is a greener but more transparent line; “HTF –DI” is a redder but more transparent line.
7. **ADX (HTF, Blue but Transparent):**
* HTF ADX plotted in blue (high transparency).
8. **HTF SMA (Orange, Transparent):**
* The higher timeframe’s SMA (same length as `SMA_Long_Length`), drawn in fainter orange.
9. **Volatility Zone Fill (Yellow Tinted Area):**
* Fills the area between `ATR_SMA` and `ATR_SMA × ATR_Multiplier`.
* Indicates “normal” versus “high‐volatility” regimes.
These debug lines are purely visual aids. Disable them if you want a cleaner chart.
---
## 11. Putting It All Together — Step-By-Step Flow
1. **Read Inputs** (RSI lengths, EMA length, ATR settings, etc.).
2. **Optionally Halve All Lengths** if “Scalping Mode” is checked.
3. **Calculate Current TF Indicators:**
* RSI, ATR, ATR\_SMA, EMA, price change, various SMAs, DI/ADX.
4. **Compute “AI Score”** (weighted sum of RSI and EMA signals).
5. **Compute Dynamic ATR Multiplier** and decide if “High Volatility” is true.
6. **Compute Raw Trend/Reversal Conditions** on the current timeframe (without triggering yet).
7. **Fetch HTF Values** in one `request.security` call (SMAs, DI/ADX).
8. **Combine Current & HTF Trend Filters** to confirm `Uptrend_Confirm` or `Downtrend_Confirm`.
9. **Check Reversal Conditions** (price crossing EMA or SMA short, in overbought/oversold zones).
10. **Enforce “One Trade Per Trend”** (clear `LastTradeTrend` whenever `CurrentTrend` flips).
11. **Enforce Cooldown** (must wait at least `Signal_Cooldown` bars since the prior signal).
12. **On Bar Close:**
* If `Raw_Long` AND not already in a long trend AND cooldown met, then fire `Long_Signal`.
* Else if `Raw_Short` AND not already in a short trend AND cooldown met, then fire `Short_Signal`.
* Otherwise, no new signal on this bar.
13. **Plot Long/Short Entry Shapes** according to whether it was a Trend signal or a Reversal signal.
14. **Send Alert** (“action=BUY” or “action=SELL”) exactly once per confirmed bar.
15. **If New Long/Short Signal, Set `InLong`/`InShort`, Record Entry Price, Initialize `Long_Max`/`Short_Min`.**
16. **While `InLong` is true:** Update `Long_Max = max(previous Long_Max, current high)`. Compute `SL_Long`. If the current trend flips (no longer uptrend), set `ExitLong = true`, plot a “TP X,” and close the position logic.
17. **While `InShort` is true:** Similarly update `Short_Min`, compute `SL_Short`, and if trend flips, set `ExitShort = true`, plot a “TP X,” and close the position logic.
18. **Optionally Display Debug Lines** (ATR SMA, ATR threshold, DI/ADX, HTF DI/ADX, etc.).
---
## 12. How to Use in TradingView Community
When you publish this indicator to the TradingView community—choosing “Protected” or “Invite-only” visibility—you can paste the above description into the “Description” field. Users will see exactly what each input does, how signals are generated, and what the various plotted lines represent, **without ever seeing the script source**. In this way, the code itself remains hidden but the logic is fully documented.
1. **Go to “Create New Indicator”** on TradingView.
2. **Paste Your Pine Code** (the full indicator script) in the Pine editor and save it.
3. **Set Visibility = Protected** (or Invite-only).
4. **In the “Description” Text Box, paste the entirety of this document** (steps 1–11).
5. **Click “Publish Script.”**
Users who view your indicator will see its name (“AI Strat Adaptive v3 (NoRepaint)”), a list of all inputs (with default values), and the detailed English description above. They can then load it on any chart, adjust inputs, and see the plotted signals, TP/SL lines, and optional debug overlays—without accessing the underlying Pine code.
---
### Summary of Key Points
* **RSI, EMA, ATR, DI/ADX, and “AI Score”** work together to define “trend vs. reversal.”
* **Dynamic volatility filter** uses ATR and ATR\_SMA to adapt the weighting of RSI vs. EMA and decide whether “volatility is high enough” to permit a trend trade.
* **One trade per detected trend** and a **cooldown period** prevent over‐trading.
* **Higher timeframe confirmation** (optional) further filters out noise.
* **No-repaint logic**:
* All signals only appear at bar close (`barstate.isconfirmed`).
* HTF values are fetched with `lookahead=barmerge.lookahead_off`.
* **Entry shapes** (triangles and circles) clearly mark trend vs. reversal entries.
* **Dynamic TP/SL**: highest‐high (or lowest‐low) since entry is used as TP, ATR×multiplier as SL.
* **Debug mode** (optional) shows every intermediate line for full transparency.
Use this description verbatim (or adapt it slightly for your personal style) when publishing. That way, your community sees exactly how each component works—inputs, functions, filters—while the Pine source code remains private.
CandelaCharts - Turtle Soup Model📝 Overview
The ICT Turtle Soup Model indicator is a precision-engineered tool designed to identify high-probability reversal setups based on ICT’s renowned Turtle Soup strategy.
The Turtle Soup Model is a classic reversal setup that exploits false breakouts beyond previous swing highs or lows. It targets areas where retail traders are trapped into breakout trades, only for the price to reverse sharply in the opposite direction.
Price briefly breaks a previous high (for short setups) or low (for long setups), triggering stop orders and pulling in breakout traders. Once that liquidity is taken, smart money reverses price back inside the range, creating a high-probability fade setup.
📦 Features
Liquidity Levels: Projects forward-looking liquidity levels after a Turtle Soup model is formed, highlighting potential price targets. These projected zones act as magnet levels—areas where price is likely to reach based on the liquidity draw narrative. This allows traders to manage exits and partials with more precision.
Market Structure Shift (MSS): Confirms reversal strength by detecting a bullish or bearish MSS after a sweep. Acts as a secondary confirmation to filter out weak setups.
Custom TF Pairing: Choose your own combination of entry timeframe and context timeframe. For example, trade 5m setups inside a 1h HTF bias — perfect for aligning microstructure with macro intent.
HTF & LTF PD Arrays: Displays HTF PD Arrays (e.g., Fair Value Gaps, Inversion Fair Value Gaps) to serve as confluence zones.
History: Review and backtest past Turtle Soup setups directly on the chart. Toggle historical models on/off to study model behavior across different market conditions.
Killzone Filter: Limit signals to specific trading sessions or time blocks (e.g., New York AM, London, Asia, etc). Avoid signals in low-liquidity or choppy environments.
Standard Deviation: Calculates and projects four levels of standard deviation from the point of model confirmation. These zones help identify overextended moves, mean-reversion opportunities, and confluence with liquidity or PD arrays.
Dashboard: The dashboard displays the active model type, remaining time of the HTF candle, current bias, asset name, and date—providing real-time context and signal clarity at a glance.
⚙️ Settings
Core
Status: Filter models based on status
Bias: Controls what model type will be displayed, bullish or bearish
Fractal: Controls the timeframe pairing that will be used
High Probability Models: Detects and plots only the high-probability models
Sweeps
Sweep: Shows the sweep that forms a model
I-sweep: Controls the visibility of invalidated sweeps
D-purge: Plots the double purge sweeps
S-area: Highlights the sweep area
Liquidity
Liquidity: Displays the liquidity levels that belong to the model
MSS
MSS: Displays the Market Structure Shift for a model
History
History: Controls the number of past models displayed on the chart
Filters
Asia: Filter models based on Asia Killzone hours
London: Filter models based on London Killzone hours
NY AM: Filter models based on NY AM Killzone hours
NY Launch: Filter models based on NY Launch Killzone hours
NY PM: Filter models based on NY PM Killzone hours
Custom: Filter models based on user Custom hours
HTF
Candles: Controls the number of HTF candles that will be visible on the chart
Candles T: Displays the model’s third timeframe candle, which serves as a confirmation of directional bias
NY Open: Display True Day Open line
Offset: Controls the distance of HTF from the current chart
Space: Controls the space between HTF candles
Size: Controls the size of HTF candles
PD Array: Displays ICT PD Arrays
CE Line: Style the equilibrium line of PD Array
Border: Style the border of the PD Array
LTF
H/L Line: Displays on the LTF chart the High and Low of each HTF candle
O/C Line: Displays on the LTF chart the Open and Close of each HTF candle
PD Array: Displays ICT PD Arrays
CE Line: Style the equilibrium line of PD Array
Border: Style the border of the PD Array
Standard Deviation
StDev: Controls standard deviation of available levels
Labels: Controls the size of standard deviation levels
Lines: Controls the line widths and color of standard deviation levels
Dashboard
Panel: Display information about the current model
💡 Framework
The Turtle Soup Model is designed to detect and interpret false breakout patterns by analyzing key price action components, each playing a vital role in identifying liquidity traps and generating actionable reversal signals.
The model incorporates the following timeframe pairing:
15s - 5m - 15m
1m - 5m - 1H
2m - 15m - 2H
3m - 30m - 3H
5m - 60m - 4H
15m - 1H - 8H
30m - 3H - 12H
1H - 4H - 1D
4H - 1D - 1W
1D - 1W - 1M
1W - 1M - 6M
1M - 6M - 12M
Below are the key components that make up the model:
Sweep
D-purge
MSS
Liquidity
Standard Deviation
HTF & LTF PD Arrays
The Turtle Soup Model operates through a defined lifecycle that identifies its current state and determines the validity of a trade opportunity.
The model's lifecycle includes the following statuses:
Formation (grey)
Invalidation (red)
Pre-Invalidation (purple)
Success (green)
By incorporating the phases of Formation, Invalidation, and Success, traders can effectively manage risk, optimize position handling, and capitalize on the high-probability opportunities presented by the Turtle Soup Model.
⚡️ Showcase
Introducing the Turtle Soup Model — a powerful trading tool engineered to detect high-probability false breakout reversals. This indicator helps you pinpoint liquidity sweeps, confirm market structure shifts, and identify precise entry and exit points, enabling more confident, informed, and timely trading decisions.
LTF PD Array
LTF PD Arrays are essential for model formation—a valid Turtle Soup setup will only trigger if a qualifying LTF PD Array is present near the sweep zone.
HTF PD Array
HTF PD Arrays provide macro-level context and are used to validate the direction and strength of the potential reversal.
Timeframe Alignment
In the Turtle Soup trading model, timeframe alignment is an essential structural component. The model relies on multi-timeframe context to identify high-probability reversal setups based on failed breakouts.
High-Probability Model
A high-probability setup forms when key elements align: a Sweep, Market Structure Shift (MSS), LTF and HTF PD Arrays.
Killzone Filters
Filter Turtle Soup Models based on key market sessions: Asia, London, New York AM, New York Launch, and New York PM . This allows you to focus on high-liquidity periods where smart money activity is most likely to occur, improving both the quality and timing of your trade setups.
Unlock your trading edge with the Turtle Soup Model — your go-to tool for sharper insights, smarter decisions, and more confident execution in the markets.
🚨 Alerts
This script offers alert options for all model types. The alerts need to be set up manually from TradingView.
Bearish Model
A bearish model alert is triggered when a model forms, signaling a high sweep, MS,S and LTF PD Array.
Bullish Model
A bullish model alert is triggered when a model forms, signaling a low sweep, MSS and LTF PD Array.
⚠️ Disclaimer
These tools are exclusively available on the TradingView platform.
Our charting tools are intended solely for informational and educational purposes and should not be regarded as financial, investment, or trading advice. They are not designed to predict market movements or offer specific recommendations. Users should be aware that past performance is not indicative of future results and should not rely on these tools for financial decisions. By using these charting tools, the purchaser agrees that the seller and creator hold no responsibility for any decisions made based on information provided by the tools. The purchaser assumes full responsibility and liability for any actions taken and their consequences, including potential financial losses or investment outcomes that may result from the use of these products.
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CVD Candlestick - Milana TradesThe CVD Candlestick indicator visualizes Cumulative Volume Delta (CVD) in the form of candlesticks, providing a deeper insight into intrabar buying and selling pressure.
Instead of plotting CVD as a simple line, this indicator displays it as a candle chart, allowing traders to analyze the momentum of volume delta just like price action.
How it Works
Delta is calculated as the difference between the bar’s close and open: delta = close - open.
Divergence + ICT-Based Confirmation
This indicator can be used effectively to detect CVD-price divergences, which may signal early signs of weakness in the current trend. When integrated with ICT (Inner Circle Trader) concepts, it becomes a powerful tool for precision-based trading setups.
CVD Divergence Logic:
A bearish divergence occurs when price makes a higher high while CVD makes a lower high — suggesting weakening buyer aggression.
A bullish divergence occurs when price makes a lower low while CVD makes a higher low — signaling potential seller exhaustion.
ICT Confirmation Methods:
After identifying divergence on CVD, traders may look for confirmation using ICT techniques, such as:
1) Liquidity sweeps (e.g. price takes out a prior high/low into a divergence zone)
2) Breaker blocks or order blocks aligning with the divergence area
3) Market structure shifts following divergence
4) Optimal Trade Entry (OTE) levels confluencing with CVD-based signals
Example Setup:
Identify divergence between price and CVD.
Wait for liquidity sweep or market structure break in the same zone.
Confirm entry with lower time frame precision, if needed.
Data Candle
CVD is computed as the cumulative sum of delta over time.
For each bar, a synthetic candlestick is generated based on:
CVD Open = previous CVD value
CVD Close = current CVD value
High/Low = relative range based on Open/Close
Candlestick color indicates whether buyers (green) or sellers (red) dominated the bar.
Note : This implementation uses price-based delta for simplicity and works universally across assets. For bid/ask-based delta, a feed with order book data is required, which is not accessible in Pine Script.
Use Cases
Identify divergences between price and volume delta
Confirm or question breakouts and trend strength
Use in combination with VWAP, volume profile, or liquidity zones
Analyze intrabar sentiment in a candlestick format
Features
CVD represented as full candlesticks
Clear color distinction for delta direction
Works on all symbols and timeframes
Lightweight and responsive
Weekly Open (Current Week Only)📘 Indicator Name: Weekly Open (Current Week Only)
📝 Description:
This indicator plots a horizontal line representing the weekly open price, visible only during the current trading week. At the beginning of each new week (based on TradingView’s weekly time segmentation), the indicator captures the open price of the first candle and draws a constant line across the chart until the week ends. Once the new week begins, the line resets and updates with the new weekly open.
🎯 How to Use – ICT Concepts Integration (Weekly Profile):
This tool is designed to complement ICT (Inner Circle Trader) trading strategies, particularly within the weekly profile framework, by offering a clear and persistent visual of the weekly open, which is a critical reference point in ICT’s market structure theory.
✅ Use Cases:
Directional Bias:
According to ICT concepts, price trading above the weekly open suggests a bullish bias for the week, while trading below it implies bearish conditions.
Traders can use the weekly open line to align their intraweek trades with higher timeframe directional bias.
Dealing Ranges:
Weekly open helps frame the weekly dealing range, especially when combined with other levels like weekly high/low or previous week’s range.
It allows traders to identify potential liquidity pools or areas where price may seek to rebalance.
Mean Reversion Entries:
Price often reverts to or reacts from the weekly open. Traders may use this as a target or entry level, particularly during Monday/Tuesday setups.
Works well in conjunction with concepts like OTE (Optimal Trade Entry) and Judas Swings.
Risk Management:
Acts as a clean and visual anchor to structure stop losses or take-profits based on weekly bias shifts.
Inner Circle Toolkit [TakingProphets]Inner Circle Toolkit — A Complete ICT Trading Companion
The Inner Circle Toolkit is a closed-source, all-in-one trading tool designed for traders following ICT (Inner Circle Trader) and Smart Money Concepts strategies. Every part of this script is built with purpose — not just a mashup of indicators, but a structured framework to help you follow price through the lens of institutional behavior and liquidity theory.
Let’s walk through what it does and how it can help you:
🕒 Session Liquidity Levels (Asia, London, New York, NY Lunch)
The indicator automatically marks the highs and lows of the major trading sessions:
-Asian Session
-London Session
-New York AM Session
-New York Lunch
These levels are important because price often returns to these points to grab liquidity before making a move. This gives traders clear areas to watch for potential sweeps, rejections, or reversals — without having to manually track session timings every day.
REQHs and REQLs — Equal Highs and Lows
This script detects Relatively Equal Highs and Lows (REQHs/REQLs), which are often used by institutions as stop-run targets.
It’s not just looking for copy-paste double tops or bottoms — it uses a tolerance-based algorithm that checks for clusters of similar highs or lows over a given time period. These are likely to hold stops and become magnets for price. When you see these on the chart, you’ll know where the “juice” is sitting.
Fair Value Gaps (FVG) — Multi-Timeframe
The script automatically plots Fair Value Gaps (FVGs) on both:
-Your current chart timeframe
-One or more higher timeframes (like H1 or H4)
These are three-candle gaps that form when price moves aggressively without filling in value. Price often comes back to these areas to rebalance. Seeing both local and higher-timeframe FVGs on your chart gives better context and helps with entries and exits.
The script is optimized so your chart doesn’t get messy — higher timeframe FVGs show up in a cleaner format with visual labels and lighter shading.
SMT Divergence — With Session Logic
This tool includes a real-time SMT divergence detector, based on the behavior of correlated markets like ES vs. NQ.
Here’s how it works:
If ES sweeps a liquidity level (like Asia Low), but NQ doesn’t, the script detects and marks that divergence.
This often signals institutional accumulation or distribution — a high-probability setup.
You won’t have to flip between charts or manually compare — the SMT logic runs automatically and only fires when it matters (at key session levels). It’s a smarter, more focused way to track intermarket divergences.
Daily Highs and Lows — Week-to-Week Structure
The indicator keeps track of the high and low for each day of the week — Monday through Friday — helping you understand how price is evolving across the week.
This helps build a weekly profile:
Did Monday set the high of the week?
Are we sweeping Tuesday’s low on Thursday?
These levels stay visible and labeled, helping you frame daily setups inside the bigger picture.
🕛 Midnight Open & 8:30 AM Open Levels
These two levels are core ICT concepts used to judge whether price is in premium or discount:
Midnight Open (00:00 EST): Used to determine daily bias
New York Open (08:30 EST): Often a launch point for key moves
Both are drawn automatically and extend throughout the day. This helps you align your trades with potential algorithmic bias, especially during NY session volatility.
⏰ 9:45 AM Vertical Marker — Macro Time Reminder
The script draws a subtle vertical line at 9:45 AM EST, which is the start of the NY AM macro session — one of the most likely times to see setups play out.
This is more than just a timer — it’s a visual cue that something important might be setting up soon, especially if you’re already watching SMT, FVGs, or liquidity zones from earlier.
How It All Connects — A Workflow, Not a Mashup
Every feature in this script is connected to the same goal: helping you trade with the Smart Money.
Here’s how the pieces work together:
Session levels → potential stop hunts
Equal highs/lows → targets
FVGs → entry points
SMT divergence → confirmation or warning
Daily highs/lows → Weekly structure frames bias
Open levels → premium vs. discount
Macro line → timing clue for execution
It’s built to help you flow with price action and trade the story, not just random signals.
Why It’s Closed Source — and Original
This script is closed-source because it contains:
A proprietary system for real-time SMT logic (with intermarket sweep detection)
Multi-timeframe FVG detection that auto-filters overlaps
Smart equal-high/low detection using range-based clustering
Optimized UI that shows a lot without overwhelming the chart
There are no moving averages, no public-domain indicators, and no mashup of standard tools. Everything here is purpose-built for traders who follow ICT strategies.
Let us know how we can improve!
Dynamic Customizable 50% Line & Daily High/Low + True Day OpenA Unique Indicator for Precise Market-Level Analysis
This indicator is a fully integrated solution that automates complex market-level calculations and visualizations, offering traders a tool that goes beyond the functionality of existing open-source alternatives. By seamlessly combining several trading concepts into a single script, it delivers efficiency, accuracy, and customization that cater to both novice and professional traders.
Key Features: A Breakdown of What Makes It Unique
1. Adaptive Daily Highs and Lows
Automatically detects and plots daily high and low levels based on the selected time frame, dynamically updating in real time.
Features session-based adjustments, allowing traders to focus on levels that matter for specific trading sessions (e.g., London, New York).
Fully customizable styling, visibility, and alerts tailored to each trader’s preferences.
How It Works:
The indicator calculates daily high and low levels directly from price data, integrating session-specific time offsets to account for global trading hours. These levels provide traders with clear visual markers for key liquidity zones.
2. Automated ICT 50% Range Line
A pioneering implementation of ICT’s mid-range concept, this feature dynamically calculates and displays the midpoint of the daily range.
Offers traders a visual guide to identify premium and discount zones, aiding in determining market bias and potential trade setups.
How It Works:
The script calculates the range between the day’s high and low, dividing it by two to generate the midline. This line updates in real-time, ensuring that traders always see the most current premium and discount levels as price action evolves.
3. Dynamic Market Open Levels
Plots session opens (e.g., Asia, London, New York) and the True Day Open to provide actionable reference points for intra-day trading strategies.
Enhances precision in identifying liquidity shifts and aligning trades with institutional price movements.
How It Works:
The indicator uses predefined session times to calculate and display the opening levels for key trading sessions. It dynamically adjusts for time zones, ensuring accuracy regardless of the trader’s location.
4. Custom Watermark for Enhanced Visualization
Includes an optional watermark feature that allows users to display custom text on their charts.
Ideal for personalization, branding, or highlighting session notes without disrupting the clarity of the chart.
Why This Indicator Stands Out
First-to-Market Automation:
While the ICT 50% range line is a widely recognized concept, this is the first script to automate its calculation, combining it with other pivotal trading levels in a single tool.
All-in-One Functionality:
Unlike open-source alternatives that focus on individual features, this script integrates daily highs/lows, mid-range levels, session opens, and customizable watermarks into one cohesive system. The consolidation reduces the need for multiple indicators and ensures a clean, efficient chart setup.
Dynamic Customization:
Every feature can be adjusted to align with a trader’s strategy, time zone, or aesthetic preferences. This level of adaptability is unmatched in existing tools.
Proprietary Logic:
The indicator’s underlying calculations are built from scratch, leveraging advanced programming techniques to ensure accuracy and reliability. These proprietary methods differentiate it from similar open-source scripts.
How to Use This Indicator
Apply the Indicator:
Add it to your TradingView chart from the library.
Configure Settings:
Use the intuitive settings panel to adjust plotted levels, colors, styles, and visibility. Tailor the indicator to your trading strategy.
Incorporate into Analysis:
Combine the plotted levels with your preferred trading approach to identify liquidity zones, establish market bias, and pinpoint potential reversals or entries.
Stay Focused:
With all key levels automated and updated in real time, traders can focus on execution rather than manual plotting.
Originality and Justification for Closed Source
This script is closed-source due to its unique combination of features and proprietary logic that automates complex trading concepts like the ICT 50% range line and session-specific levels. Open-source alternatives lack this level of integration and customization, making this indicator a valuable and original contribution to the TradingView ecosystem.
What Sets It Apart from Open-Source Scripts?
Unlike open-source tools, this indicator doesn’t just replicate individual features—it enhances and integrates them into a seamless, all-in-one solution that offers traders a more efficient and effective way to analyze the market.
Pure Price Action Structures [LuxAlgo]The Pure Price Action Structures indicator is a pure price action analysis tool designed to automatically identify real-time market structures.
The indicator identifies short-term, intermediate-term, and long-term swing highs and lows, forming the foundation for real-time detection of shifts and breaks in market structure.
Its distinctive/unique feature lies in its reliance solely on price patterns, without being limited by any user-defined input, ensuring a robust and objective analysis of market dynamics.
🔶 USAGE
Market structure is a crucial aspect of understanding price action. The script automatically identifies real-time market structure, enabling traders to comprehend market trends more easily. It assists traders in recognizing both trend changes and continuations.
Market structures are constructed from three sets of swing points, short-term swings, intermediary swings, and long-term swings. Market structures associated with longer-term swing points are indicative of longer-term trends.
A market structure shift (MSS), also known as a change of character (CHoCH), is a significant event in price action analysis that may signal a potential shift in market sentiment or direction. Conversely, a break of structure (BOS) is another significant event in price action analysis that typically indicates a continuation of the prevailing trend.
However, it's important to note that while an MSS can be the first indication of a trend reversal and a BOS signifies a continuation of the prevailing trend, they do not guarantee a complete reversal or continuation of the trend.
In some cases, MSS and BOS levels may also act as liquidity zones or areas of price consolidation, rather than indicating a definitive change in market direction or continuation. Traders should approach them with caution and consider additional factors to confirm the validity of the signal before making trading decisions.
🔶 DETAILS
🔹 Market Structures
Market structures are based on the analysis of price action and aim to identify key levels and patterns in the market, where swing point detection is one of the core concepts within ICT trading methodologies and teachings.
Swing points are automatically detected solely based on market movements, without any reliance on user-defined input.
🔹 Utilizing Swing Points
Swing points are not identified in real time as they occur. While short-term swing points may be displayed with a delay of at most one bar, the identification of intermediate and long-term swing points depends entirely on market movements. Furthermore, detection is not limited by any user-defined input but relies solely on pure price action. Consequently, swing points are not typically utilized in real-time trading scenarios.
Traders often analyze historical swing points to discern market trends and pinpoint potential entry and exit points for their trades. By identifying swing highs and lows, traders can:
Recognize Trends: Swing highs and lows help traders identify the direction of the trend. Higher swing highs and higher swing lows indicate an uptrend, while lower swing highs and lower swing lows indicate a downtrend.
Identify Support and Resistance Levels: Swing highs often serve as resistance levels, known in ICT terminology as Buyside Liquidity Levels, while swing lows function as support levels, also referred to in ICT terminology as Sellside Liquidity Levels. Traders can utilize these levels to strategize entry and exit points for their trades.
Spot Reversal Patterns: Swing points can form various reversal patterns, such as double tops or bottoms, head and shoulders patterns, and triangles. Recognizing these patterns can signal potential trend reversals, allowing traders to adjust their strategies accordingly.
Set Stop Loss and Take Profit Levels: In the context of ICT teachings, swing levels represent specific price levels where a concentration of buy or sell orders is anticipated. Traders can target these liquidity levels/pools to accumulate or distribute their positions, essentially using swing points to establish stop loss and take profit levels for their trades.
Overall, swing points provide valuable information about market dynamics and can assist traders in making more informed trading decisions.
🔶 SETTINGS
🔹 Structures
Swings and Size: Toggles the visibility of the structure's highs and lows, assigns an icon corresponding to the structures, and controls the size of the icons.
Market Structures: Toggles the visibility of the market structures.
Market Structure Labels: Controls the visibility of labels that highlight the type of market structure.
Line Style and Width: Customizes the style and width of the lines representing the market structure.
Swing and Line Colors: Customizes colors for the icons representing highs and lows, and the lines and labels representing the market structure.
🔶 RELATED SCRIPTS
Market-Structures-(Intrabar).
Buyside-Sellside-Liquidity.
Daye's Quarterly TheoryDaye's Quarterly Theory Indicator
Description
The Daye's Quarterly Theory Indicator divides trading time into smaller units to help traders identify potential accumulation, manipulation, distribution, and reversal/continuation phases within a day. It applies these time divisions to your charts, offering visual guidance aligned with ICT's PO3 concept:
Accumulation (A): The phase where positions are accumulated.
Manipulation (M): The phase where the market moves against the prevailing trend to trap traders.
Distribution (D): The phase where accumulated positions are distributed.
Reversal/Continuation (X): The phase indicating either a reversal or continuation of the trend.
This indicator breaks down time into quarters at different levels:
Daily Quarters:
Q1: 18:00 - 00:00 (Asia)
Q2: 00:00 - 06:00 (London)
Q3: 06:00 - 12:00 (NY AM)
Q4: 12:00 - 18:00 (NY PM)
90-Minute Quarters:
Q1: 18:00 - 19:30
Q2: 19:30 - 21:00
Q3: 21:00 - 22:30
Q4: 22:30 - 00:00
Micro Quarters (22.5 minutes) (Displayed on 7-minute TF or lower):
Q1: 18:00 - 18:22:30
Q2: 18:22:30 - 18:45
Q3: 18:45 - 19:07:30
Q4: 19:07:30 - 19:30
Features
Time Box Visualization: Highlights different quarters of the trading day to help visualize market phases.
Customizable Colors: Allows users to set different colors for daily, 90-minute, and micro quarters.
Flexible Settings: Designed to work out-of-the-box on both light and dark background charts.
ICT PO3 Alignment: Helps traders align their strategies with ICT's Accumulation, Manipulation, Distribution, and Reversal/Continuation phases.
Usage
Apply this indicator to your NQ1! or ES1! charts and observe the confluence with ICT's macro times. Use it to predict potential market phases and optimize your trading strategy by buying after manipulation down or selling after manipulation up.
Note: The indicator's display may vary based on the timeframe viewed and broker feeds. Back-test and research for best results on your preferred assets.
London Intraday Protraction (Normal + Delayed) [Pro+]The London Intraday Protraction° is an automatic market profiling tool designed from ICT Time and price parameters projected for London Session studies:
Time:
Central Bank Dealers Range (CBDR)
Asian Range (AR)
London Session
Price:
Central Bank Dealers Range Size (CBDR)
Central Bank Dealers Range (CBDR) Standard Deviations
Asian Range Size (AR)
Protraction (fake move, trap)
This tool allows you to keep your attention dialled into the Session harnessing the concepts listed above through historical data (statistics + previous sessions), and live visuals.
This tool automatically annotates your CBDR and AR reference points, and prints range values in pips as a label above the CBDR and AR; it also projects the CBDR deviations encompassed in London's Time opportunity – up to three standard deviations.
The range values for the Time-based ranges, and price action are filtered into conditional statements as taught in the Core Content from the Inner Circle Trader (ICT).
There are three profile types:
1) Normal Protraction – the high/low of the Day is anticipated in early London Session.
2) Delayed Protraction – due to invalid Price Parameters (Range Sizes) the Protraction is expected in the later stages of the London Session (this protraction may, or may not be, the high/low of the Day).
3) Normal Protraction Negated – due to invalid Time Parameters, the Protraction is expected in the later stages of the London Session (this protraction may, or may not be, the high/low of the Day).
Notice the color coding of the specific scenarios, as it always repeats – it will aid pattern recognition.
The statistical table shows the total number of viewable London Sessions on chart; it provides the total number of filtered Normal Protraction Sessions, and Delayed Protractions Sessions. It also indicates a percentage of how many filtered conditions held true and provided clean price action or narrative.
The true power of this tool lies in its specific window of Time opportunity, and solid conditional logic provided by ICT's teachings; having the London Session analysis automated, allows you to focus on price, and bias, rather than drawing predetermined ICT parameters.
Additional Features:
Customizable Colors
Auto-adapting Colors
Customizable Stat Table Position
Customizable Stat Table Size
These tools are available ONLY on the TradingView platform.
Terms and Conditions
These charting tools are products provided for informational and educational purposes only and do not constitute financial, investment, or trading advice. They are not designed to predict market movements or provide specific recommendations. Users should be aware that past performance is not indicative of future results and should not be relied upon for making financial decisions. By using these tools, the purchaser agrees that the seller and the creator are not responsible for any decisions made based on the information provided by these charting tools. The purchaser assumes full responsibility and liability for any actions taken and the consequences thereof, including any loss of money or investments that may occur as a result of using these products. Hence, by purchasing these charting tools, the customer accepts and acknowledges that the seller and the creator are not liable nor responsible for any unwanted outcome that arises from the development, the sale, or the use of these products. Finally, the purchaser indemnifies the seller from any and all liability.
By continuing to use these financial tools, the user acknowledges and agrees to the terms outlined in this legal disclaimer.
CRT [TakingProphets]Overview
The CRT (Candle Range Theory) indicator is a real-time ICT-inspired tool designed for traders who want to visualize higher timeframe (HTF) candles, detect Candle Range Transitions (CRTs), and identify Smart Money Divergence (SMT) without switching charts.
By combining HTF bias, CRT structure, and SMT divergence, this indicator helps traders organize price action across multiple timeframes while maintaining a clear visual map on their active chart.
Concept & Background
Candle Range Theory stems from ICT methodology, focusing on how institutional price delivery leaves footprints when a three-candle sequence forms..
A Bearish CRT occurs when price attempts to continue higher but fails, creating a higher high with a lower close.
A Bullish CRT occurs when price attempts to continue lower but fails, creating a lower low with a higher close.
These moments can highlight areas where liquidity has been manipulated and where institutional flows may shift. This indicator automates the detection of these CRT patterns and integrates them with SMT divergence to enhance context and decision-making.
How It Works
HTF Candle Visualization
Overlay candles from any timeframe (1m to 1M) directly on your chart.
Displays the three most recent HTF candles with full body/wick precision.
CRT Detection
-Identifies potential bullish and bearish CRT formations based on how the middle candle behaves relative to the prior range.
-Marks these visually to help traders spot potential traps or reversal points.
SMT Divergence Integration
-Compares price action against a correlated asset (e.g., NQ vs ES, EURUSD vs GBPUSD).
-Highlights divergences between instruments, which can confirm potential CRT signals or invalidate false setups.
Real-Time Candle Projections
-Projects the current HTF candle’s open, high, low, and close dynamically throughout the session.
-These levels often act as reference points for bias, support/resistance, or target planning.
Custom Display Engine
-Full control over candle widths, label sizes, colors, and transparency.
-Optional Info Box shows the asset, timeframe, and date for quick reference.
SMT Divergence Lines & Alerts
-Automatically draws labeled lines (“BULLISH SMT” or “BEARISH SMT”) when divergence is detected.
-Includes dedicated alerts for SMT and CRT formations so you never miss a key setup.
How to Use It
Select Higher Timeframes
-Configure any timeframe overlays to add context to your lower-timeframe execution chart.
Monitor CRT Formations
-Watch for bullish or bearish CRT patterns that indicate failed continuations.
Use SMT Divergence for Confluence
-Compare behavior across correlated assets to validate or filter setups.
Plan Entries & Targets
-Use the projected HTF levels or CRT boundaries to define decision zones within your trading model.
Why It’s Useful
The CRT indicator doesn’t provide buy/sell signals or promise accuracy. Instead, it organizes institutional price action concepts into a visual, easy-to-interpret framework:
-Helps traders understand HTF context while operating intraday.
-Automates the identification of CRT traps and SMT divergences.
-Enhances decision-making by combining multiple ICT-inspired concepts in one place.
Liquidity On TimeIn ICT, liquidity means pools of orders resting in the market.
These are usually stop-losses or pending orders from retail traders.
Liquidity on time combines liquidity with the time-of-day element.
ICT teaches that markets deliver liquidity at specific trading sessions.
Main sessions: London Open (2–5 AM EST) and New York Open (7–10 AM EST).
These times concentrate order flow, creating high-probability moves.
Smart Money hunts liquidity at those hours, not randomly.
Example: During London Open, stops above Asian range = liquidity target.
New York session often sweeps London highs/lows before real move.
Thus, timing tells us when liquidity will likely be attacked.
"Liquidity on time" = confluence of where liquidity sits and when it’s taken.
It explains why moves often happen at precise clock times, not anytime.
Traders use it to avoid chasing price outside killzones.
ICT emphasizes “time & price” must agree for valid setups.
Price alone is incomplete; time confirms when Smart Money acts.
This prevents overtrading in quiet hours.
Example setup: Liquidity sweep at 9:30 AM NYSE open → entry trigger.
Liquidity on time also explains engineered stops runs before news.
The concept ties into Killzones, FVGs, and SMT divergence.
In short, Liquidity on Time = knowing WHEN liquidity will be raided.
Daily Separator & Killzone marker (L3J)The “Daily Separator (L3J)” is a tool built for day traders who want a clean intraday structure around key U.S. market times and a professional trading-day model. It visually segments trading days, marks critical intraday timestamps (pre-market, cash open, killzone), and aligns with routines inspired by ICT concepts.
Important note: internal code comments and notes are written in French.
What the script does
Draws clear, configurable vertical lines to separate each trading day.
Supports two trading-day models:
- CME 18:00–17:00 (anchored on the Asian session, common for indices/futures)
- Calendar 00:00–23:59 (midnight-to-midnight)
Plots four key intraday rays in UTC‑4:
- 08:30 — U.S. pre-market open
- 09:30 — U.S. cash market open
- 09:50 — killzone start (per my routine)
- 10:30 — killzone end (per my routine)
Smart display logic: each day’s marker stays visible until the time is reached, then auto-hides to keep charts clean.
Object-budget control: caps the number of historical separators to preserve performance.
Day trading strengths (ICT-friendly)
Robust CME anchoring: day switches at the Asian session start in UTC‑4, which better reflects U.S. liquidity flow than calendar midnight.
Focused killzone: highlights 09:50–10:30 for impulse setups, rebalancing, and liquidity events around the open.
Clean readability: fully customizable colors, styles, and widths; markers auto-remove after their window.
Inputs (end‑user labels in French)
- Timezone: choose the time zone (default UTC‑4) for session alignment.
- Day separator:
- Day type: “CME 18:00–17:00” or “Calendrier 00:00–23:59”
- Color, style (solid, dashed, dotted), width
- Max number of visible separators (performance control)
Session (CME): Asian session window used as the anchor (default 18:00–16:00 UTC‑4)
ndependent intraday markers:
- Pre‑Market Open 08:30
- Market Open 09:30
- Killzone Open 09:50
- Killzone Close 10:30
- Each with show/hide, color, style, and width settings
Best practices
U.S. indices ( CME_MINI:ES1! , CME_MINI:NQ1! ) and U.S. equities: favor the “CME 18:00–17:00” mode for a more liquidity‑centric read.
ICT day trading: form directional bias around 09:30, execute between 09:50–10:30 as initial volatility structures.
Multi‑timeframe use: keep it on execution charts (1–5 min) and context charts (15–60 min) for time alignment.
Technical notes
Created by L3J.
Pine Script v6, overlay=true, controlled object budget.
Deterministic time calculations via Pine built‑ins.
All times are expressed in UTC‑4 to align with U.S. practice; adjust the timezone input as needed.
- Internal code comments/notes are written in French.
If this script helps you structure your sessions better, consider leaving a like and sharing it with other intraday traders.
Happy trading, everyone!
TrueOpens [AY]¹ See how price reacts to key multi-day and monthly open levels—perfect for S/R-focused traders.
Experimental indicator for tracking multi-day openings and ICT True Month Open levels, ideal for S/R traders.
TrueOpens ¹ – Multi-Day & True Month Open Levels
This indicator is experimental and designed to help traders visually track opening price levels across multiple days, along with the ICT True Month Open (TMO).
Key Features:
Supports up to 12 configurable multi-day opening sessions, each with independent color, style, width, and label options.
Automatically detects the True Month Open using the ICT method (2nd Monday of each month) and plots it on the chart.
Lines can extend dynamically and are limited to a user-defined number of historical bars for clarity.
Fully customizable timezones, label sizes, and display options.
This indicator is ideal for observing how price interacts with key levels, especially for traders who favor support and resistance-based strategies.
Disclaimer: This is an analytical tool for observation purposes. It does not provide buy or sell signals. Users should combine it with their own analysis and risk management.
Fibs Has Lied 🌟 Fibs Has Lied - Indicator Overview 🌟
Designed for indices like US30, NQ, and SPX, this indicator highlights setups where price interacts with key EMA levels during specific trading sessions (default: 6:30–11:30 AM EST).
🌟 Key Features & Levels 🌟
🔹EMA Crossover Setups
The indicator uses the 100-period and 200-period EMAs to identify bullish and bearish setups:
- Bullish Setup: Triggers when the 100 EMA crosses above the 200 EMA, followed by two consecutive candles opening above the 100 EMA, with the low within a specified point distance (e.g., 20 points for US30).
- Bearish Setup: Triggers when the 100 EMA crosses below the 200 EMA, followed by two consecutive candles opening below the 100 EMA, with the high within the point distance.
- Signals are marked with green (buy) or red (sell) triangles and text, ensuring you don’t miss a setup. 📈
🔹 Reset Conditions for Re-Entries
After an initial setup, the indicator watches for “reset” opportunities:
- Buy Reset: If price moves below the 200 EMA after a bullish crossover, then returns with two consecutive candles where lows are above the 100 EMA (within point distance), a new buy signal is plotted.
- Sell Reset: If price moves above the 200 EMA after a bearish crossover, then returns with two consecutive candles where highs are below the 100 EMA (within point distance), a new sell signal is plotted.
This feature captures additional entries after liquidity grabs or fakeouts, aligning with ICT’s manipulation concepts. 🔄
🔹 Session-Based Filtering
Focus your trades during high-liquidity windows! The default session (6:30–11:30 AM EST, New York timezone) targets the London/NY overlap, where price often seeks liquidity or sets up for reversals. Toggle the time filter off for 24/7 signals if desired. 🕒
🔹Symbol-Specific Point Distance
Customizable entry zones based on your chosen index:
- US30: 20 points from the 100 EMA.
- NQ: 3 points from the 100 EMA.
- SPX: 2.5 points from the 100 EMA.
This ensures setups are tailored to the volatility of your market, maximizing relevance. 🎯
🔹 Market Structure Markers (Optional)
Visualize swing points with pivot-based labels:
- HH (Higher High): Signals uptrend continuation.
- HL (Higher Low): Indicates potential bullish support.
- LH (Lower High): Suggests weakening uptrend or reversal.
- LL (Lower Low): Points to downtrend continuation.
- Toggle these on/off to keep your chart clean while analyzing trend direction. 📊
🔹 EMA Visualization
Optionally plot the 100 EMA (blue) and 200 EMA (red) to see key levels where price reacts. These act as dynamic support/resistance, perfect for spotting liquidity pools or ICT’s Power of 3 setups. ⚖️
🌟 Customization Options 🌟
- Symbol Selection: Choose US30, NQ, or SPX to adjust point distance for entries.
- Time Filter: Enable/disable the 6:30–11:30 AM EST session to focus on high-liquidity periods.
- EMA Display: Toggle 100/200 EMAs on/off to reduce chart clutter.
- Market Structure: Show/hide HH/HL/LH/LL labels for cleaner analysis.
- Signal Markers: Green (buy) and red (sell) triangles with text are auto-plotted for easy identification.
🌟 Usage Tips 🌟
- Best Timeframes: Use on 3m for intraday scalping and 30m for swing trades.
- Combine with ICT Tools: Pair with order blocks, fair value gaps, or kill zones for stronger setups.
- Focus on Session: The default 6:30–11:30 AM EST session captures London/NY volatility—perfect for liquidity-driven moves.
- Avoid Overcrowding: Disable market structure or EMAs if you only want setup signals.
Weekly Range ProjectionsWeekly Range Projections
Inspired by toodegrees' excellent "ICT Friday's Asian Range" indicator
This indicator is a modified and enhanced version of the original Friday's Asian Range indicator created by toodegrees. While studying their brilliant work, I realized the concept could be expanded beyond just Friday's Asian session to create a more versatile tool for weekly price projections.
What's New?
I've transformed the original concept into a fully customizable range projection tool that allows traders to:
Select Any Day of the Week - Not limited to just Fridays anymore
Define Custom Time Ranges - Set your own start and end times to capture any session (Asian, London, New York, or custom ranges)
Flexible Deviation Levels - Choose between 1-9 standard deviations instead of the fixed 5
Toggle Body/Wick Ranges - Show or hide body and wick projections independently
Updated to Pine Script v6 - Taking advantage of the latest Pine Script features
How It Works
The indicator captures the price range (body and/or wick) during your specified time window on your chosen day, then projects standard deviation levels from that range. These levels often act as significant support/resistance throughout the week.
Use Cases
Weekly Opening Range - Capture Monday's opening range for week-long projections
Session-Based Analysis - Define any session on any day for targeted analysis
Multi-Timeframe Projections - Create different instances for various time ranges
ICT Concepts - Perfect for traders following ICT methodologies with customizable ranges
Credits
Huge thanks to toodegrees for creating the original Friday's Asian Range indicator and sharing it with the community. Their clean code structure and innovative approach to range projections inspired this modification. The core logic and visual presentation style remain true to their original vision, with added flexibility for broader applications.
If you find this useful, please also check out toodegrees' original indicators - they create fantastic tools for the TradingView community!
Settings Guide
Range Settings - Choose your day and define start/end times
Range Type - Toggle body and/or wick ranges
Deviations - Select how many standard deviation levels to display
Styling - Customize colors and line styles for both range types
Alerts - Set up alerts for price crossing specific deviation levels
Remember to use this on 5-minute or 15-minute charts as intended by the original design.
Note: This indicator follows the Mozilla Public License 2.0
Checklist Dashboard Table# Checklist Dashboard Table – ICT/SMC Trading Helper
Overview
The “Checklist Dashboard Table” is a TradingView indicator designed to help traders structure, organize, and validate their market analyses following the ICT/SMC (Inner Circle Trader / Smart Money Concepts) methodology. It provides a visual and interactive checklist directly on your chart, ensuring you never miss a crucial step in your decision-making process.
Key Features
- Visual Checklist : All your trading criteria are displayed as color-coded checkboxes (green for validated, red for not validated), making your analysis process both clear and efficient.
- Clear Separation Between Analysis and Confirmations :
- Analysis : Reminders for your routine, such as timeframe selection (M3 to H4), trend analysis via RSI, and identification of key zones (Midnight Open, SSL/BSL, Asian High/Low).
- Confirmations : Six customizable criteria to check off as you validate your setup (clear trend, OB + FVG, OTE zone, Premium/Discount, R/R > 1:2, CBDR/Midnight).
- Personal Notes Section : Keep your trade entries, observations, or comments in a dedicated field in the indicator’s settings. Your notes are displayed right in the checklist for quick reference and journaling.
- Elegant and Compact Display : The table is styled for readability and can be positioned anywhere on your chart.
- Quick Customization : Instantly update any criterion or your personal notes via the script settings.
How to Use
1. Add the indicator to your chart.
2. Review the “Analysis” section as your pre-trade routine reminder.
3. Check off the “Confirmations” criteria as you validate your entry strategy.
4. Write your trade notes or comments in the provided notes section.
5. Use the checklist to reinforce discipline and repeatability in your trading.
Why Use This Checklist?
- Prevents you from skipping important steps in your analysis.
- Reinforces trading discipline and consistency.
- Allows you to document and review your trade decisions for ongoing improvement.
Who Is It For?
Perfect for ICT/SMC traders, but also valuable for anyone looking to organize and systematize their trading process.
Happy trading!
First FVG📘 Indicator Description (English)
First FVG – NY Open is a TradingView indicator designed to automatically identify the first Fair Value Gap (FVG) that appears during the New York session, following the ICT (Inner Circle Trader) methodology.
It highlights institutional inefficiencies in price caused by imbalanced price action and helps traders spot high-probability entry zones, especially after the 9:30 AM EST (New York Open).
⚙️ How It Works
Session time: The indicator scans for FVGs starting at 9:32 AM (allowing 3 candles after the NY Open to form).
FVG Conditions:
Bullish FVG: When the high of 2 candles ago is lower than the low of the current candle and the middle candle is bullish.
Bearish FVG: When the low of 2 candles ago is higher than the high of the current candle and the middle candle is bearish.
Only the first FVG per session is drawn, as taught by ICT for setups like Judas Swing or NY Reversal models.
A colored box is drawn to represent the FVG zone.
A dotted horizontal line (CE) is drawn at the midpoint of the FVG box (Consequent Encroachment), a key level watched by smart money traders.
A dashed vertical line is drawn at 9:30 NY time to mark the open.
🧠 How to Use It
Wait for the NY Open (9:30 AM EST) – the indicator becomes active at 9:32 AM.
Watch for the first FVG box of the day. This is often a high-probability reaction zone.
Use the CE line (center of the FVG) as a reference for entries, rejections, or liquidity grabs.
Combine with market structure, PD Arrays, and liquidity concepts as taught by ICT for confluence.
The FVG box and CE line will extend forward for several candles for visual clarity.
🎛️ Customizable Settings
Session time (default: 09:32–16:00 NY)
FVG box color (up/down)
Text color
Max number of days to keep boxes on chart
Option to show or hide the 9:30 NY Open vertical line
Predictive Time & AlertsPredictive Time Engine (ICT Macros)
Summary
The Predictive Time Engine is a visual tool designed specifically for traders who utilize Time & Price based methodologies, particularly those inspired by ICT (Inner Circle Trader) concepts.
The primary purpose of this indicator is to visualize the critical "time windows" where market liquidity is most likely to be significantly manipulated or distributed. Instead of only appearing in real-time, this indicator is predictive: at the beginning of each day, it will automatically calculate and draw all selected macro sessions for the day ahead, serving as your daily time roadmap.
With this tool, you will no longer miss these crucial moments and can be better prepared to anticipate price action.
Key Features
Predictive Visualization: Automatically projects and draws all macro time windows for the current trading day, giving you a forward-looking view of where the action is likely to occur.
ICT Macro Time Filter: Based on the "Hourly-Macros" concept, which are specific 20-minute periods within each hour (e.g., 09:50 - 10:10) where the price delivery algorithm (IPDA) is often active. You can select and enable each macro window you wish to monitor.
Full Customization: You have complete control over how the information is displayed. Choose between:
Outline: A clean, transparent box frame.
Background: A solid, colored background for the time zone.
Vertical Lines (Dotted, Dashed, Solid): Marks the beginning of each macro session with a vertical line in your chosen style.
Real-time Alerts: Set up notifications in TradingView to get an alert precisely when the price enters one of your selected Macro Time windows.
Automatic Management: Drawings from previous days are automatically cleared to keep your chart clean and focused on the current day's schedule.
The Concept Behind the Indicator
This indicator is inspired by the concept that the market moves in fractal Time Cycles, from yearly down to 90-minute periods. Each of these time cycles often follows a pattern of AMD (Accumulation, Manipulation, Distribution).
Accumulation: A phase of order gathering.
Manipulation: Price is often driven in the opposite direction of its true intent to sweep liquidity (stop losses).
Distribution: The true price move towards a liquidity target (Draw On Liquidity).
The Macro Time windows marked by this indicator are often the stage where the Manipulation phase or the beginning of the Distribution phase occurs. By knowing when these times are approaching, traders can be on high alert and look for confirming trade setups in the most potent areas and times.
How to Use
Configure Sessions: Open the indicator's Settings.
In the "1. General Settings" tab, ensure the Timezone matches your chart's local time (Default: "America/New_York").
In the "2. Active Macro Sessions" tab, check the box for each macro time window you want to monitor.
Choose Display Style: In "General Settings", select your preferred "Display Style" (Outline, Background, or various Line types). You can also change the color.
Set Up Alerts (Optional):
Click the "Alert" clock icon in the TradingView toolbar.
In the "Condition" section, select this indicator: Predictive Time Engine.
From the dropdown below it, ensure "Sesi Makro Dimulai" (Macro Session Start) is selected.
Set your desired notification options and click "Create".
Chart Interpretation: Use the marked time zones as high-alert areas. Pay close attention to how price reacts when entering or leaving these zones to find potential entry opportunities that align with your trading strategy.
Disclaimer: This tool is provided for educational and analytical purposes only. It is not financial advice. All trading decisions are solely your responsibility. Conduct your own research and manage your risk appropriately.
Mech Model - monkertrades x {DeadCatCode}Mech Model - Multi-Timeframe ICT Liquidity & iFVG Trading System
Detailed Methodology & Underlying Concepts
This indicator automates the Inner Circle Trader (ICT) methodology by identifying institutional order flow through liquidity sweeps and inverse Fair Value Gap (iFVG) formations across multiple timeframes.
Core Logic & Calculations
1. Liquidity Level Identification The script tracks four key liquidity pools:
NY session dynamic LQ detection everytime it sweeps high/low Calculates high/low from 18:00-09:30 EST
Session Extremes: Monitors Asia (20:00-23:00), London (02:00-05:00) session highs/lows
Previous Day Levels: Requests PDH/PDL using request.security() with daily timeframe
Dynamic Updates: Liquidity levels update in real-time when swept during NY session
2. Market Structure Analysis
Uses pivot points logic to understand HH.HL parameters
Classifies pivots as Higher Highs (HH), Higher Lows (HL), Lower Highs (LH), Lower Lows (LL)
Stores last 50 pivots for reference in custom PivotPoint type arrays, background calculations to identfy price legs after sweep
3. Fair Value Gap Detection
Bullish FVG: When low > high (gap between candles)
Bearish FVG: When high < low
Stores FVG data including top, bottom, direction, and bar index
Tracks "wicking" - when price touches but doesn't close through FVG
4. Price Leg Formation (Key Innovation) When liquidity is swept:
Bull Leg: Forms after low sweep, connects previous swing high to sweep point
Bear Leg: Forms after high sweep, connects previous swing low to sweep point
Leg remains "active" and extends with continued liquidity breaks
5. iFVG Signal Generation The signal fires when:
An active price leg exists (post-liquidity sweep)
An FVG within the leg range gets "closed through" (not just wicked)
This creates an inverse FVG (iFVG) - the key entry signal
Signal direction matches leg type (bull leg + bull iFVG = buy signal)
6. Multi-Timeframe Synchronization
Uses request.security() to run detection logic on 1m, 2m, 3m, 4m, 5m
All signals display on 1-minute chart via status table
How Traders Use This
Setup Phase: Script identifies when price sweeps overnight/session liquidity
Confirmation: Waits for FVG within the "price leg" to be violated
Entry Signal: iFVG formation provides precise entry point
Target: Typically the next unmitigated FVG on 5-minute timeframe
Key Parameters Users Can Adjust
Session times for different market hours
Visual elements (colors, transparency, line styles)
Timeframe selection (enable/disable 1m-5m)
Wick grace period (0-100 bars)
Signal display mode (triangles vs horizontal lines)
This script essentially automates the manual process ICT traders use to identify institutional footprints through liquidity raids and subsequent rebalancing via FVG mitigation.
[TehThomas] - Market Structure Shift (MSS)
- Market Structure Shift (MSS) Script Overview
This TradingView script is designed to help traders identify Market Structure Shifts (MSS) and Breaks of Structure (BOS), which are key concepts in ICT (Inner Circle Trader) and Smart Money Concepts (SMC) trading. By detecting significant shifts in price action, the script provides visual cues and alerts to help traders spot potential trend changes and continuation patterns.
How the Script Works
1. Identifying Swing Highs & Lows
The script detects swing highs and swing lows based on a pivot strength setting (default: 3).
A swing high forms when a candle’s high is higher than the highs of a set number of candles on both sides.
A swing low forms when a candle’s low is lower than the lows of the surrounding candles.
2. Market Structure Shift (MSS) Detection
A bullish MSS occurs when price closes above the most recent swing high after previously being in a bearish trend.
A bearish MSS occurs when price closes below the most recent swing low after being in a bullish trend.
This signals a potential trend reversal and is often a key area for liquidity grabs and smart money entry points.
3. Break of Structure (BOS) Detection (Optional - Can be enabled/disabled in settings)
A BOS is detected when price continues in the direction of the trend, confirming a structural break rather than a shift.
Bullish BOS: Price breaks a swing high but does not reverse (confirms trend continuation).
Bearish BOS: Price breaks a swing low but continues downward.
BOS levels help traders confirm trend strength and potential trade continuation setups.
4. Drawing Structure Lines & Labels
The script plots horizontal lines at the detected MSS and BOS levels.
Labels such as "MSS" or "BOS" appear at the breakout points.
Traders can customize the line style, color, and text size for better visibility.
5. Alert System for MSS & BOS
The script includes alert conditions that notify traders when an MSS or BOS occurs.
Alerts can be set for:
Any MSS / Any BOS
Bullish MSS / Bullish BOS
Bearish MSS / Bearish BOS
Settings You Can Change
The script allows for full customization through the following input parameters:
Pivot Strength (pivot_strength)
Default: 4
Adjusts how many candles must be considered to form a valid swing high or low.
Higher values result in stronger structure points, while lower values detect short-term movements.
Color Settings
Highs Color (highs) → Default: Blue (for bullish structure)
Lows Color (lows) → Default: Red (for bearish structure)
Toggle Display Options
Show BOS (show_bos) → Enables/disables BOS detection.
Show MSS (show_mss) → Enables/disables MSS detection.
Line & Label Customization
BOS Line Style (bos_style) → Options: Solid, Dashed, Dotted
MSS Line Style (mss_style) → Options: Solid, Dashed, Dotted
BOS & MSS Line Width → Adjustable from 1 to 4 pixels
BOS & MSS Text Size → Options: Tiny, Small, Normal, Large, Huge
BOS & MSS Text Position → Options: Left, Center, Right
Why This Script is Useful
✔ Detects Key Market Structure Changes
MSS and BOS are critical for identifying trend reversals and trend continuations.
Helps traders avoid false breakouts by distinguishing between structural shifts and simple breakouts.
✔ Enhances Smart Money Trading Strategies
MSS often aligns with liquidity grabs before price reverses.
BOS confirms continuation trades in strong trends.
Works well with Fair Value Gaps (FVGs), Order Blocks (OBs), and Liquidity Zones.
✔ Customizable Alerts & Visuals
Traders can enable alerts for MSS and BOS to receive notifications when price shifts.
Adjustable styling ensures clarity across different trading setups.
✔ Works on Any Asset & Timeframe
Suitable for Forex, Crypto, Stocks, and Indices.
Can be used on lower timeframes (scalping) or higher timeframes (swing trading).
How to Use the Market Structure Shift Concept in Trading
1️⃣ Identify Market Conditions
Apply the script and check if price is forming Higher Highs (HH), Higher Lows (HL), Lower Highs (LH), or Lower Lows (LL).
Determine if the market is trending or ranging.
2️⃣ Watch for MSS (Reversal Signals)
Bullish MSS: Price closes above a key swing high → potential bullish reversal.
Bearish MSS: Price closes below a swing low → potential bearish reversal.
3️⃣ Confirm BOS (Trend Continuation Signals)
Bullish BOS: Price continues breaking highs, confirming an uptrend.
Bearish BOS: Price continues breaking lows, confirming a downtrend.
4️⃣ Combine with Other ICT & SMC Concepts
Look for Order Blocks (OBs) and Fair Value Gaps (FVGs) near MSS/BOS levels for better trade entries.
Wait for liquidity grabs before entering trades (avoid stop hunts).
Use higher timeframe MSS/BOS zones as key support & resistance areas.
Final Thoughts
This script is a must-have tool for traders using ICT & SMC trading strategies. It helps identify trend shifts, liquidity grabs, and continuation moves by marking Market Structure Shifts (MSS) and Breaks of Structure (BOS) on the chart.
OHLC, Sessions & Key Levels [Orderflowing]Multi-Timeframe (+) OHLC, Sessions & Key Levels | Custom-Timeframe OHLC | Sessions Analysis | Market Key Levels
Built using Pine Script V5.
Introduction
The OHLC, Sessions & Key Levels Indicator is a tool designed for traders who want to integrate Multi-Timeframe (MTF) OHLC Data, Sessions Analysis, and Key Market Levels into their trading system.
This Indicator can help traders by automatically marking the OHLC, Sessions & Key Levels directly on the price chart, saving time furthermore potentially allowing for better judgement in their trading and risk management process.
Innovation and Inspiration
The Indicator draws from multiple concepts;
The OHLC levels across different timeframes, session-based analysis, and plotting potentially important and pivotal market levels.
Concept Inspiration from ICT-Traders / Market Maker Model Traders.
Use of Open-Source Code
Specific parts of this Indicator's code have been inspired by & further developed from publicly available code originally developed for the MetaTrader platform.
All such integrations have been wired to work within the TradingView environment, specifically using Pine Script Version 5.
Elements have been made to benefit the overall functionality, the code logic, to make sure it offers unique value to TradingView's users.
Core Features
OHLC MTF Analysis
Foundation
This component allows traders to track the Open, High, Low, and Close levels across different timeframes, ranging from intraday periods to yearly data.
Customization
Traders can adjust the bar offset, width, and colors of the OHLC bars, as well as display options. Option to highlight the Open/Close with labels and the High/Low with marks.
Application
The OHLC MTF component gives traders a clear view of important price levels, which can serve as support, resistance, or potential entry/exit points.
Main Trading Sessions & Custom Sessions
Starting Point
The Sessions component relies on the user-inputted key market sessions, defaults include New York, London, Asia, and optionally Sydney. Session Defaults to UTC.
Please Note: Adjust Time Zone in TradingView's Desktop App or Web Interface to use the sessions in correct local time.
Customization
Traders can adjust session names, session times, time zone, visibility, session colors, and session-specific high and low markers.
This allows us to visualize price movements during these selected periods.
Application
By highlighting different trading sessions, traders can potentially better time their trades, understanding when significant price movements usually occur. This can potentially be used to try and find patterns in a time-based method.
Key Levels
Customization
Traders can choose which key levels to display and adjust the visual style of these levels, including line width, style, and color.
Application
The Key Levels feature can help traders identify support and resistance levels that can serve as potential entry or exit points. Can be useful in market structure analysis by marking significant price levels based on different timeframes.
Designed for multi-timeframe analysis, allowing traders to track OHLC levels, session ranges, and key market levels.
It’s highly customizable, making it suitable across trading styles and charting setups, whether scalping, day trading, swing trading or longer term investing.
Multi-Timeframe (MTF) OHLC
Can be plotted as a Candlestick or Bar-Chart or Both
These can help traders keep an eye on price levels across multiple timeframes while allowing the actual chart to be on another timeframe than the displayed OHLC.
Example - OHLC on the Weekly Candle/Bar - Chart 4 Hourly Candles
While being on lower timeframes, the trader can keep an eye on how the OHLC candle is developing. ICT-Traders find the Daily (Default Setting) OHLC useful in analysis.
It can be customized to any timeframe the trader wishes to use.
Inspired by ICT-Traders / Market Maker Model Traders and Top-Down Analysis Style.
Combined with Session Analysis to view into the price behavior during specific trading sessions, could potentially be very useful for finding trading setups.
OHLC Levels
Creates lines based on user input - Can potentially be important reference points for trade setups / invalidation / confirmation, levels could be used as the HTF Origin.
Conclusion
The OHLC MTF, Sessions & Key Levels Indicator is a tool that combines multiple market analysis concepts into a single unique script. It offers another view of the market's behavior by combining OHLC data from a different timeframe, main trading sessions, and key levels.
Why Invite-Only?
The OHLC, Sessions & Key Levels Indicator is offered as invite-only because you receive a quality and customizable tool that combines multiple functions into one convenient script.
This Indicator stands out by being a complete and optimized trading tool based on three desirable components.
—
Multi-Timeframe OHLC Analysis, Sessions Tracking & Key Levels
—
Into One Customizable Indicator.
Disclaimer
While the Indicator offers a view of the OHLC price action on multiple timeframes, key levels & trading sessions, traders should not solely rely on it for trading decisions. As with all trading tools, it should be used as part of a complete trading strategy.
