ZLEMA FusionZLEMA Fusion - Advanced Zero-Lag Momentum & Trailing Stop System
A sophisticated overlay indicator combining the power of Zero Lag EMA (ZLEMA) with ATR-based Moving Stop (MOST) for precision trend following and dynamic support/resistance tracking.
Core Components:
1. ZLEMA (Zero Lag Exponential Moving Average)
Eliminates lag inherent in traditional EMAs
Provides faster response to price changes
Customizable length for different trading styles
Smooth, responsive trend line
2. MOST (Moving Stop - ATR Trailing Stop)
Dynamic ATR-based trailing stop system
Automatically adjusts to market volatility
Never moves backward - only trails in favourable direction
Green line = Uptrend support | Red line = Downtrend resistance
Customizable ATR multiplier and lookback period
Signal Generation:
BUY (⇑): When ZLEMA crosses above MOST
SELL (⇓): When ZLEMA crosses below MOST
Clean visual arrows with no label boxes
Signals trigger on candle close only (no repainting)
Advanced Features:
✅ Signal Cooldown System - Prevents signal spam with configurable minimum bars between signals
✅ ADX Trend Strength Filter - Optional filter to trade only in strong trends
✅ Higher Timeframe ZLEMA Confirmation - Multi-timeframe trend alignment for higher probability setups
✅ Background Color Coding - Quick visual trend identification (Green = Uptrend, Red = Downtrend)
✅ Alert System - Built-in alerts for buy and sell signals
Fully Customizable:
ZLEMA length
ATR period and multiplier
MOST lookback period
Signal cooldown bars
ADX filter threshold
Higher timeframe settings
Visual display options
Best Used For:
Index trading
Swing trading
Trend following strategies
Dynamic support/resistance identification
Entry/exit timing
Optimized for Indian Markets - Calibrated for Nifty, Bank Nifty, and other NSE instruments.
⚠️ Important Notes:
This indicator is for educational purposes
No repainting - all signals confirmed at candle close
Use proper risk management
Combine with your trading plan and additional confirmation
트렌드 어낼리시스
KASTE Buy & SellThis indicator works like a **MACD-based momentum tool**.
It calculates the difference between a fast and a slow moving average (MACD line) and smooths it with a signal line.
* A **Buy signal** appears when the MACD line crosses **above** the signal line, indicating rising bullish momentum.
* A **Sell signal** appears when the MACD line crosses **below** the signal line, indicating increasing bearish momentum.
The histogram visualizes momentum strength: green bars show bullish momentum and red bars show bearish momentum.
KASTE indicator 2 (for 10s Entries)This script is a **1-minute MACD-based trend filter** designed to define clear **bullish or bearish market bias**.
It uses a fast MACD configuration combined with a 50-period EMA to identify short-term trend direction and momentum strength.
A bullish state is shown when price is above the EMA and MACD momentum is rising above zero, while a bearish state is shown when price is below the EMA and momentum is falling below zero.
The background color highlights the current trend, making it easy to align **10-second entry timing** with the higher-timeframe bias and avoid trading in choppy conditions.
TradeAxis Trendlines - Full RangeOverview
TradeAxis Trendlines is an overlay indicator that automatically builds and maintains diagonal support/resistance trendlines from confirmed swing pivots, ranks candidates to reduce clutter, and provides optional breakout-based risk framing (TP/SL boxes) using structural stops.
This script is built as a single workflow:
Identify structurally valid trendlines
Reduce clutter by ranking/filters
Monitor/visualize breakouts with clear risk framing (disabled in Analysis Mode and on non-standard chart types)
How the trendlines are detected and filtered
1) Confirmed pivot engine (non-instant pivots)
Trendline anchors come from confirmed pivot highs/lows using user-defined Left/Right pivot strength. Because pivots require Right bars to confirm, lines are not drawn at the turning candle and will appear only after confirmation.
2) Candidate generation + structural validation
The script tests pivot-to-pivot vectors and rejects candidates that fail structural criteria, including:
Minimum line length (bars between anchors)
Slope filtering with two modes:
Absolute slope bounds (price-per-bar)
ATR-relative slope bounds (thresholds scaled by ATR)
Body-intersection rejection: candidates are filtered out if candle bodies repeatedly cut through the line beyond a tolerance
Opposite-side invalidation gate: candidates can be rejected/disabled when price closes (or evaluates by Mid-body/Body mode) beyond the “wrong side” of the line, to avoid keeping lines that are already invalidated by structure
3) Touch counting + scoring (clutter control)
Valid candidates are ranked using a weighted score that prioritizes:
Number of valid touches
Recency of the last touch
Line span
By default, the script plots both the primary and secondary (“2nd best”) support and resistance lines; you can disable the secondary set if you prefer a cleaner chart.
4) Dynamic cleanup behavior
Trendlines are continuously refreshed as new pivots confirm. Lines that are decisively broken and then reclaimed can be removed to prevent stale structure from lingering on the chart.
Optional modules
A) Safety lines (structural stop references)
When enabled, the script calculates additional diagonal “safety” lines from a separate pivot stream and selects the best safety reference near the active structure. These safety lines are used as structural candidates for Stop Loss placement in the breakout framing module.
B) Higher-timeframe (HTF) overlays
When enabled, the script runs its trendline detection logic on a user-selected higher timeframe using `request.security()` with lookahead disabled, and overlays the HTF support/resistance onto the current chart. HTF lines are plotted using time-based coordinates and can update as HTF bars confirm.
C) Breakout + Risk/Reward visualization (optional)
When enabled (and on standard charts), the script can flag breakouts and draw a risk/reward box:
Breakout trigger: candle-body confirmation through the trendline plus a user-selected ATR-based buffer.
Buffer Mode can be set to ATR (buffer = ATR × multiplier) or None (no buffer).
Optional filters:
Wick filter (rejects candles with excessive upper/lower wick percentage)
Time windows (inputs are labeled in UTC+4) with optional overnight restrictions and specific block windows
Minimum breakout body size (ticks)
Stop Loss / Take Profit framing
Stop selection is structural-first. The script prioritizes the active safety line (when available), otherwise it falls back to recent swing structure (recent swing high/low candidates) and the best available structural reference.
Entries can be skipped if risk constraints are violated, including:
Min SL Size (ticks)
Max Allowed SL (×ATR)
Take Profit is projected from the actual stop distance using the selected Risk/Reward Target.
Important notes about the position tools
This is a visualization/alerting aid. It does not place trades.
TP/SL hit detection is bar-based (OHLC). If both TP and SL are within the same candle range, the script cannot know which occurred first.
On non-standard chart types, position tools and entry/exit alerts are disabled.
D) Analysis Mode
When Analysis Mode is enabled, the script disables the breakout/risk framing logic and focuses on technical trendlines (plus structural alerts).
Alerts
Alert conditions are available for:
Touch Support/Resistance (Primary, Secondary, or HTF)
New Support/Resistance line detected
Long/Short position tool placed (when enabled on standard charts)
A combined “Any Event” condition
Kinetic Regression VectorKinetic Regression Vector (KRV) is a non-repainting direction and compression indicator designed for one job: help you avoid low-quality markets and catch high-quality expansion moves when the odds improve.
Most “prediction” tools either repaint, lag, or pretend they can call exact future prices. KRV doesn’t do that. Instead, it focuses on what actually improves trading outcomes: regime quality, directional bias, and compression-to-expansion timing — all shown visually and locked on closed candles.
What goes into it (what it’s built from)
KRV fits a smooth model to the last N bars of price action and projects that structure forward as a “vector tunnel.”
It uses three core ideas:
Weighted Least Squares (WLS) regression
Recent candles matter more than older ones. That means the model reacts faster when conditions change (important for sector shifts and fast ETF rotations), without using lagging moving averages.
Quality gating with R²
The indicator measures whether the market has been clean and structured recently. If structure is weak (chop/noise), KRV effectively turns itself “off” so you’re not trading randomness.
Model-based uncertainty bands (SEE) with a volatility fallback
Instead of sizing the tunnel only by volatility, KRV can size it by how consistent the model has been. When the model is unreliable, the tunnel widens. When it’s reliable, the tunnel tightens. If you prefer classic behavior, ATR-based band sizing is available as a fallback.
What makes it different (why it stands out)
KRV stands out because it combines features that are usually not together in one tool:
Adaptive, model-driven tunnel width (based on model error when SEE is enabled), instead of a fixed volatility channel that can look “confident” even in messy regimes.
Directional bias that is not a moving-average lag (it’s based on the fitted structure’s slope).
A compression trigger that is self-relative (pinch compares current band width to its own historical baseline, not an arbitrary threshold).
Strict non-repaint design (signals are computed from closed candles so the chart doesn’t lie after the fact).
Forward visualization (the tunnel projects into the future as a reference map, with uncertainty naturally increasing forward).
What you see on the chart
Vector Tunnel: the projected path and the expected noise range around it.
Color: bullish or bearish bias based on the current slope of the model.
Pinch: compression detected (band width unusually tight versus its baseline).
Bull/Bear Bullets: confirmed pinch signals aligned with directional bias.
Target Marker: a forward reference point based on the current structure (not a guarantee, but a useful reference level).
How to use it (simple, repeatable)
Use it as a three-step decision tool:
Gate (participate or stand down):
If the model is not “on” (quality is weak), treat it as a “stay out” signal. This is the most important feature for avoiding bad trades.
Direction (bias):
When the model is on, follow the bias. Bull bias means your edge is on longs. Bear bias means you avoid longs (or only take bearish setups if you trade that way).
Pinch + confirmation (timing):
A pinch means pressure is building. The bullet marks “compression + bias.” For best results, act after you see expansion confirmation (breakout candle / range expansion / level break) rather than treating the bullet as a blind entry.
Best features (why traders keep it)
Non-repainting signals locked to closed bars
Clear “stay out” logic during chop
Direction bias that responds faster than classic lagging tools
Compression detection designed to highlight expansion windows
Forward tunnel for planning risk, entries, and exits visually
Best markets and timeframes
KRV performs best on liquid ETFs and liquid large-cap stocks, and on sector themes like energy where regime shifts matter.
Recommended timeframes:
4H: best for timing entries and avoiding noise
Daily: best for swing direction and higher-quality setups
Weekly: best for big-picture regime filtering (stay out vs participate)
Monthly can be used for macro regime, but not for timing.
What to expect (honest expectations)
KRV is not a guaranteed predictor of exact prices. Its edge comes from:
filtering out weak/noisy regimes,
identifying compression that often precedes expansion,
and aligning that setup with a directional bias,
without repainting.
Trend Signal GridTrend Signal Grid
Based on Trend Direction & Force Index - TDFI by Causecelebre, the TDFI Grid is a multi-timeframe momentum indicator that builds on the original TDFI concept. It calculates TDFI across three user-selectable timeframes using three different lookback periods, creating a 3×3 consensus grid (9 readings total).
Each cell is classified as bullish, bearish, or neutral based on configurable upper and lower thresholds. When a majority of the 9 readings align in the same direction (default 65%), the indicator triggers a directional signal — either GRID UP or GRID DOWN. Alerts fire automatically on new signals so you never miss a shift.
How it works
The indicator uses a smoothed EMA-based momentum calculation, normalises the output against its recent highest absolute value, and then maps it across your chosen timeframes and lookback lengths. The results are displayed in a clean on-chart table showing the state of each timeframe/lookback combination at a glance.
Settings:
Timeframe 1, 2, 3 — Choose any three timeframes (defaults to 1m, 5m, 15m).
LB1, LB2, LB3 — Lookback periods for each TDFI calculation.
UP / DOWN thresholds — Controls how far the TDFI must move before a cell registers as bullish or bearish.
Majority — The percentage of the 9 cells that must agree to trigger a signal.
Table position — Place the grid anywhere on your chart.
Best used for
Trading setups where you need to confirm momentum alignment across multiple timeframes before entering or scaling a position. Works well on forex and metals.
Inside Bar Zones by AAK (V6)📦 Smart Inside Bar Zones
Smart Inside Bar Zones is a price-action–based indicator designed to automatically detect, track, and visualize inside bar consolidation zones with full historical context.
Instead of marking single inside candles, this indicator groups consecutive inside bars into structured zones, locking the original mother candle range and extending it until price breaks out. This allows traders to clearly identify areas of compression, balance, and potential expansion.
🔍 Key Features
Automatic Inside Bar Detection
Identifies inside bars using candle bodies within the mother candle range, with an optional tick buffer.
Smart Zone Creation
Consecutive inside bars are grouped into a single zone, anchored to the original mother candle.
Unlimited Historical Storage (Data)
All previous inside bar zones are stored internally, enabling long-term analysis and backtesting.
Safe & Optimized Drawing
Zones are drawn using recyclable boxes to respect TradingView object limits while maintaining performance.
Highlight Inside Bars
Optional candle coloring for quick and clear visual confirmation.
Flexible Display Options
Show only the latest zone
Or display multiple zones with automatic recycling
📈 How Traders Use It
Identify consolidation before expansion
Spot compression zones for breakout or fakeout scenarios
Combine with SMC, order flow, support & resistance, or liquidity concepts
Use higher-timeframe zones for directional bias
Use lower-timeframe zones for entries and scalps
⚠️ Important Notes
This indicator does not predict direction — it highlights structure
Zones represent price balance, not buy or sell signals
Best used in confluence with your trading strategy and risk management
🧠 Designed For
Price action traders
SMC / market structure traders
Forex, crypto, indices, and futures
Any timeframe
⚠️ Risk Disclaimer
This indicator is for educational purposes only and is not financial advice. Trading involves significant risk, and losses may exceed expectations. Past performance does not guarantee future results. Always use proper risk management and trade at your own discretion.
SMA Multi-Sync Granville & MTF CounterSMA Multi-Sync Granville & MTF Counter
Overview
This indicator is an environmental awareness tool that identifies when and to what level moving averages (SMAs) across multiple time frames align in the same direction, visualizing the timing and freshness of the trend.
Its greatest feature is that it does not simply determine synchronization; rather, it precisely distinguishes the time frame upon which synchronization is completed using the number of stars (★).
Key Features
1. Calculation of "Stars" Based on Confirmed Time Frame Trigger
The number of stars displayed upon synchronization completion indicates the signal's "temporal weight."
★ (1): Synchronization is completed upon confirmation of the displayed time frame.
★★ (2): Synchronization is completed upon confirmation of the next higher time frame (e.g., 15 minutes).
★★★ (3): Synchronization is completed upon confirmation of the next higher time frame (e.g., 1 hour). The more higher the time frame is confirmed, the more powerful the trend reversal or regression it acts as.
2. MTF Sync Panel
The table on the right side of the screen displays the price position (background) and MA direction (text) for each level (displayed to daily) in real time.
By watching the background and text colors match, you can understand the accumulation of energy before a star appears.
3. Cross Counter
The number of bars elapsed from the synchronization starting point (MA crossover, etc.) to the current bar is displayed numerically in the lower right corner.
The closer to "0" the number, the more likely it is the beginning of a trend, while the higher the number, the more likely it is the end of the trend (expiration date).
Usability of Input Settings
Min Stars (1-5) This sets the signal cutoff. Setting it to "2" eliminates noise caused by the displayed bar being confirmed and narrows down to only the moment when the higher bar is confirmed (★2 or higher).
Cancel Alert if MA Slope Same If the MA of the displayed time frame is already leaning in the same direction (leading), the confirmation (★1) on that time frame will be considered "not an initial move" and excluded.
5m TF: Use 30m SMA When using 5-minute time frames, this physically changes the ★2 trigger from the confirmation on the 15-minute chart to the confirmation on the 30-minute chart. This is effective when targeting milestones on larger time frames.
*If you have any questions about how to use this, please ask in the comments.
SMA Multi-Sync Granville & MTF Counter
概要
本インジケーターは、複数の時間足の移動平均線（SMA）が「いつ、どの階層まで同じ方向に揃ったか」を特定し、そのトレンドの**「確定タイミング」と「鮮度」**を可視化する環境認識ツールです。
最大の特徴は、単なる同調判定ではなく、**「どの時間足の確定（Close）によって同期が完成したか」**を星（★）の数で厳密に区別する点にあります。
主な機能
1. 確定足トリガーによる「星」の算出
同期が完成した瞬間に表示される星の数は、そのシグナルの「時間的な重み」を示します。
★（1つ）：表示足の確定により同期が完成。
★★（2つ）：1つ上の上位足（15分等）の確定により同期が完成。
★★★（3つ）：2つ上の上位足（1時間等）の確定により同期が完成。 上位の足が確定する節目ほど、より強力なトレンドの転換・回帰として機能します。
2. MTF同期パネル
画面右側のテーブルで、各階層（表示足〜日足）の「価格の位置（背景）」と「MAの向き（文字）」をリアルタイムに表示します。
背景色と文字色が一致していく過程を見ることで、星が出る前の**「エネルギーの蓄積」**を把握できます。
3. クロスカウンター
同期の起点（MAクロス等）から、現在の足まで何本経過したかを右下に数値で表示します。
「0」に近いほど初動であり、数値が大きくなるほどトレンドの終盤（賞味期限切れ）である可能性を論理的に示唆します。
インプット設定の使い勝手
Min Stars (1-5) シグナルの足切り設定です。「2」に設定すれば、表示足の確定によるノイズを排除し、**上位足の確定が伴った瞬間（★2以上）**のみに絞り込めます。
Cancel Alert if MA Slope Same 表示足のMAがすでに同方向へ傾いている（先行している）場合、その足での確定（★1）を「初動ではない」とみなして除外します。
5m TF: Use 30m SMA 5分足運用時、★2のトリガーを「15分足」から「30分足」の確定に物理的に変更します。より大きな時間軸の節目を狙う場合に有効です。
※使い方が不明なところはコメントで聞いてください。
CTR Weekly MA + 1D MA (improved)This does what the previous version does but more. I've added color candles to match the three weekly MAs. It helps show the stronger pullback as it goes deeper into each of the 3 weekly MAs and once the pullback is over and price goes back above or below the lowest or highest MA (depending on whether you are trading in a bear market or bull market) the candle colors will turn bright green or bright red.
EMA Gradient Band (Custom)Simple 10-20 ema crossover band. An EMA (Exponential Moving Average) crossover is a technical analysis trading signal that occurs when a fast-moving (short-term) EMA intersects with a slow-moving (long-term) EMA, signaling potential trend reversals or continuations. Common pairs include the 9/20, 10/20, or 50/200 EMA, with the shorter-term line crossing above (bullish) or below (bearish) the longer-term line
ST | TICK BarsThis indicator displays Market Breadth data (TICK) in a clean, institutional-style bar chart format with a clear Zero Line reference. It is essential for validating intraday momentum and trend strength.
COT: CTA POSITIONINGCOT: CTA POSITIONING
A comprehensive Commitment of Traders (COT) indicator that tracks institutional money manager positioning across futures markets. This indicator displays CTA (Commodity Trading Advisor) net positioning as a percentile rank, helping traders identify potential market extremes and contrarian opportunities.
Key Features:
Multi-Market Coverage: Automatically detects and displays COT data for 60+ futures contracts across equity indices, bonds, currencies, cryptocurrencies, metals, energy, grains, livestock, and softs
Percentile Rank Display: Shows CTA net positioning (long minus short) as a percentile over a customizable lookback period (default 156 weeks ≈ 3 years)
Extreme Zones: Visual highlighting of potential reversal zones when CTAs reach positioning extremes (>80th percentile = bearish, <20th percentile = bullish)
Liquidity Analysis Table (optional): Displays detailed positioning breakdown including:
Gross long and short positions
Net positioning
20-day average volume
Net position as % of average daily volume
Estimated days to unwind net position
Methodology:
The indicator pulls CFTC Commitment of Traders data from both Financial Traders (COT3) and Disaggregated (COT2) reports, focusing specifically on leveraged money managers (CTAs/hedge funds). It calculates:
Net Positioning = CTA Longs - CTA Shorts
Net as % of Open Interest
Percentile rank of current net positioning vs. lookback period
Interpretation:
High readings (>80): CTAs are extremely net long - potential bearish reversal signal
Low readings (<20): CTAs are extremely net short - potential bullish reversal signal
Works best as a contrarian indicator on weekly timeframes
Consider liquidity metrics to assess position size relative to market capacity
Settings:
Lookback Period: Adjustable percentile calculation window (default 156 periods)
Show Table: Toggle detailed positioning and liquidity data display
Supported Markets:
Equity Indices (ES, NQ, RTY, YM), Treasuries (ZT, ZF, ZN, ZB, UB), Currencies (6E, 6J, 6B, 6C, 6A), Crypto (BTC, ETH), Metals (GC, SI, HG, PL, PA), Energy (CL, NG, RB, HO, BZ), Grains (ZC, ZW, ZS, ZM, ZL), Livestock (LE, HE, GF), and Softs (SB, CT, KC, CC, OJ)
Note: COT data is released weekly on Fridays and reflects positions as of Tuesday close. This indicator works best on daily or weekly timeframes.
Data sourced from CFTC Commitment of Traders reports via TradingView's COT library.
Time Pattern Analyzer - Multi Mode [fmb]This is a lightweight session-behaviour overlay that helps you spot whether a market tends to move up or down at specific days or times.
- Two analysis modes
Weekday: Breaks performance down by Mon–Fri
Hour of Day: Breaks performance down by 0–23 and can also track a single exact time (hour + minute), like 09:30
- Visual timing markers (optional)
Draws vertical lines on the chart for the selected day(s) or time(s)
Line colour reflects the bar direction: green (up), red (down), grey (neutral)
Fully adjustable width and style (solid, dotted, dashed)
- Flexible “green vs red” definition
Body mode: Close > Open (candle body direction)
Previous close mode: Close > Close (momentum vs prior bar)
- Stats table (optional)
For each day or hour, the table shows:
Count (sample size)
% Green
% Red
Average % move (average return for that bucket)
Table can be positioned anywhere on the chart (top/bottom, left/centre/right)
Use cases
- Quickly identify recurring tendencies like “Mondays are strongest” or “first hour is choppy,” and validate timing ideas with clear counts and averages instead of guesswork.
Note: This tool reports historical tendencies, not predictions. Always account for regime changes, news risk, and liquidity.
ADX DMI SqueezeOverview
This indicator combines:
ADX / DMI → Measures trend strength and direction
ADX Squeeze Histogram → Shows when the trend is accelerating or “squeezing” for a breakout
Triangles → Highlight potential expansion points
Optional DI+ / DI− lines → Show bullish/bearish dominance
ADX Threshold Lines (15 / 20) → Help filter weak trends
Early ADX Acceleration Dots → Provide an early heads-up before a squeeze fires
It can be used standalone or alongside other trend tools like VWAP for better entry timing.
Entry Guidelines
Long Trades (Buy):
Histogram above 0
Green triangle appears
ADX rising or above threshold (15/20 recommended)
Optional: DI+ > DI− confirms bullish strength
Short Trades (Sell):
Histogram above 0
Red triangle appears
ADX rising or above threshold (15/20 recommended)
Optional: DI− > DI+ confirms bearish strength
Avoid trades if:
Histogram negative
Triangles appear but ADX below threshold or trend not confirmed by DI linesOptional Filters
Require ADX acceleration: Only shows signals when ADX is increasing → avoids late or false entries
VWAP Bias: Session-anchored institutional positioning (best for open & intraday scalps).
MA Bias: Time-based trend direction (best for continuation & trend days).
Tips
Best on 30-min or higher timeframes for swing/short-term trend trades
Can be combined with VWAP Moving averages , support/resistance, or Bollinger Bands
Use DI lines toggle if you want extra visual trend confirmation
Adjust DMI length (sensitivity) and ADX smoothing for your preferred timeframe
Interpretation
Histogram turning green above 0 + triangle → strong bullish move forming
Histogram turning red above 0 + triangle → strong bearish move forming
ADX above 20 → strong trend, more reliable
ADX below 15 → weak trend, signals less reliable
In short:
Long = Green bars above 0 + Green triangle
Short = Red bars above 0 + Red triangle
Confirm with ADX above threshold and optionally DI lines
yesterday
RSL Buy Signal Alert the relative Strength Index from Levy is checked. If it is above a dynamic value, an alert is triggered
UTC-5 Time MarkersFor model 110 of DTT use flout with this as a bias and you will catch high wr high rr trades for this certain time window of continuation or reversal
MACD Buy E Sell EditavelMacd personalizavel com sell para cruzamento de venda e buy para cruzamento de compra
ChunkbrAI-NN INDIChunkbrAI-NN INDI: The Neural Network Odyssey
A Native Pine Script Neural Network Research Engine
Welcome to ChunkbrAI-NN 5.3. This is not a standard technical indicator; it is a proof-of-concept Artificial Intelligence engine built entirely from scratch within Pine Script.
Neural Networks typically require iterating over massive datasets, a task that usually times out on TradingView. ChunkbrAI solves this by introducing a novel "Chunking Architecture"—a system that breaks history into digestible learning blocks and trains a Multilayer Perceptron (MLP) using a "Chunking" approach.
It features a living ecosystem where neurons have "genes," grow mature, and adapt to market regimes using a highly sophisticated Context-Aware normalization engine.
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The Core Concept: "The Time Wheel"
To bypass Pine Script's execution limits, this script does not train linearly from the beginning of time. Instead, it operates like a spinning wheel of experience.
* The Chunk System: On every bar update, the engine reaches back into history (up to 5000 bars) and grabs random or sequential "Chunks" of data. It treats these chunks as isolated training samples.
* Experience Replay: By constantly revisiting past market scenarios (Chunks), the network slowly converges its weights, learning to recognize patterns across different eras of price action.
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Architecture & Modules
A. The Neural Core (MLP)
At the heart is a raw neural network built with arrays:
* Topology: A dense network with a customizable Hidden Layer (Default: 60 Neurons).
* Timewarp (Stride): When enabled, the network uses "dilated" inputs (skipping bars, e.g., 1, 3, 5...). This increases the network's Field of View without increasing computational load.
* Forecasting: The network outputs a standardized prediction which is then de-normalized to project the future price path on your chart.
B. The Context System (The "Eyes")
Raw prices confuse neural networks. A $1000 move in Bitcoin is massive in 2016 but noise in 2024. ChunkbrAI uses a relativistic Context System:
* Regime Detection: It uses a Zero-Lag Moving Average (ZLMA) and Non-Linear Regression to measure the current market "Vibe" (Volatility & Trend).
* Dynamic Normalization: The inputs are scaled based on this context. If the market is volatile, the data is compressed; if calm, it is expanded. This ensures the brain receives consistent signal patterns regardless of the absolute price.
C. The Gene System (Neuro-Plasticity)
This is the experimental "biology" layer. Neurons are not just static math; they have life cycles.
* Maturity: Neurons start "Young" (highly plastic, high mutation rate). As they successfully reduce error, they become "Wise" (stable, low mutation).
* Mutation: If a "Wise" neuron begins failing (high error), it is demoted and forced to mutate. This allows the brain to "forget" obsolete behaviors and adapt to new market paradigms automatically.
* Profiles: You can initialize the brain with different personalities (e.g., Dreamer, Young Chaos, Zen Monk).
D. The Brain Scheduler (Adaptive Learning)
A static Learning Rate (LR) is inefficient. The Brain Scheduler acts as the heartbeat:
* Panic vs. Flow: It monitors the derivative of the error. If the error spikes (Panic), the Scheduler slows down learning to prevent the model from exploding. If the error smooths out (Flow), it accelerates learning (Infinite LR Mode).
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Forecasting Modes
The script provides two distinct ways to visualize the future:
1. Direct Projection (Green Line):
The network takes the current window of price action and predicts the immediate next step. If Timewarp is active, it interpolates the result to draw a smooth curve.
2. Autoregression (Cyan Line):
Available in "Auto" mode. The network feeds its *own* predictions back into itself as inputs to generate multi-step forecasts.
* Wave Segmentation: The script intelligently guesses the current market cycle length and attempts to project that specific duration forward.
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Operation Manual
The script has two distinct training loops: first, when you add it to a chart, Pine runs through the available historical bars once, and this initial history pass is the main training phase where the network iterates chunk-by-chunk using your configured chunk count/iterations (e.g., if chunk count is 3, it performs 3 chunk updates per step), but pushing chunk count, iterations, or model sizing too high can hit Pine’s execution limits; after that, once real-time candles start printing, the script can either keep training (weights continue updating) or freeze the weights and run inference only, producing predictions from the learned parameters, and if live training is enabled it can also simulate “bars-back” style training during live mode by iterating across prior bars as if doing another history pass—which again can run into limits if chunks/iterations/sizing are too heavy—so when changing parameters to evaluate behavior you change them carefully and individually, because multiple simultaneous increases make it hard to attribute effects and can more easily trigger those execution constraints.
Weight Persistence (Save/Load):
Pine Script can’t write files or persist weights directly, so ChunkbrAI uses a library-based workaround that’s honestly tricky and kind of a pain: you enable the weight-export alerts so the script emits the weights (W1/W2/biases etc.) as text, and those payloads are chunked as well; then, outside TradingView, I use a separate Python script to parse the alert emails, reconstruct and format the chunked weights properly, and generate the corresponding library code files; after that, the libraries have to be published/updated, and only then can the main script “restore” by reading the published lib constants on chart load, effectively starting with the pre-trained weights instead of relying purely on the fresh history-run training pass. I don’t recommend this process unless you really have to—it’s fragile and high-effort—but until TradingView implements some simple built-in data storage for scripts, it’s basically the only practical way to save and reload your models.
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Limitations & Notes
* Calculation Limits: This script pushes Pine Script to its absolute edge. If you increase Chunk Size or Hidden Size too much, you WILL hit execution limits. Use the defaults as a baseline.
* Non-Deterministic: Because the "Wheel" picks random chunks for training, two instances of this script might evolve slightly different brains unless you use the Restore Weights feature.
* Experimental: This is a research tool designed to explore Neural Networks and Genetic Algorithms on the chart. Treat it as an educational engine, not financial advice.
Credits: Concept and Engineering by funkybrown.
QuCap Pure Liquidity: Untouched Liquidity PoolsOverview Most liquidity indicators on the Public Library suffer from "Chart Noise." They often leave levels on the chart long after they have been "wicked out," simply because the candle didn't manage to close past the level.
QuCap Pure Liquidity is designed for the precision trader who only cares about Intact Liquidity. This script identifies pivot-based liquidity pools and monitors them in real-time. If price wicks through a level by even a single tick, the level is immediately invalidated and removed from your chart.
Key Features
Instant Invalidation: Levels are deleted on wick touch (High/Low), not candle close.
Intact Levels Only: What you see on the chart is "Fresh" and has not been mitigated.
Memory Management: Includes customizable limits for Buy-Side and Sell-Side levels to keep your chart clean and your browser running fast.
Fully Customizable: Adjust pivot strength (Left/Right bars) and visual styles to match your personal template.
How to Use
Draw on Liquidity: Use the remaining lines as a magnet for price action.
Stop Runs: Observe how price reacts when it clears these levels.
Clean Charts: Perfect for traders who follow SMC or ICT concepts and need to see where the real "resting" orders are.
Settings
Pivot Strength: Increase these values (e.g., 5, 5) to find more significant historical levels, or keep them low (2, 2) for scalp targets.
Max Levels: Keeps the chart from showing lines from weeks ago that are no longer relevant to current intraday price action.
[TehThomas] - Order Blocks█ OVERVIEW
This Order Blocks indicator identifies institutional-level support and resistance zones using fractal pattern recognition combined with Fair Value Gap (FVG) filtering. Order blocks represent areas where large institutional orders have been placed, creating significant price reactions when retested. This indicator uses a 5-bar fractal pattern to detect market structure breaks and highlights the last bearish or bullish candle before a strong impulse move.
█ KEY FEATURES
- Fractal-Based Detection: Uses 5-candle fractal patterns to identify key market structure highs and lows
- FVG Filtering: Optional Fair Value Gap confirmation ensures order blocks are followed by true market imbalances
- Automatic Mitigation: Order blocks are automatically removed when price breaks through them
- Overlap Prevention: Prevents cluttered charts by avoiding overlapping order block zones
- Customizable Display: Full control over colors, labels, line heights (body/wick), and maximum blocks shown
- Dual Polarity: Detects both bullish (OB+) and bearish (OB-) order blocks independently
█ HOW IT WORKS
The indicator scans price action for fractal patterns where the middle candle forms a local extreme (highest high or lowest low among 5 bars). When price breaks above a fractal high or below a fractal low, the script identifies the last opposing candle in the impulse move as the order block.
For bearish order blocks, it finds the highest bullish candle before a fractal low is broken, marking institutional selling pressure. For bullish order blocks, it locates the lowest bearish candle before a fractal high is breached, indicating institutional buying.
When FVG filtering is enabled, the indicator confirms that a Fair Value Gap (a 3-candle imbalance where price leaves an unfilled gap) occurred within the specified distance from the order block. This combination increases the probability that institutional traders are present in these zones.
█ SETTINGS
Bullish Order Block Settings
- Show/hide bullish order blocks
- Customize fill color and border color
- Toggle OB+ label display
Bearish Order Block Settings
- Show/hide bearish order blocks
- Customize fill color and border color
- Toggle OB- label display
Label Settings
- Label size: Tiny, Small, Normal, or Large
- Label text color customization
General Settings
- Bars Back to Check (10-200): Lookback period for order block detection
- Filter by FVG: Requires Fair Value Gap confirmation
- Max Bars Between OB and FVG (1-6): Distance tolerance for FVG filtering
- Line Height: Choose between Body or Wick for order block boundaries
- Prevent Overlapping OBs: Avoids drawing overlapping zones
- Max Order Blocks to Display (1-50): Limits active blocks on chart
- Length of Boxes (10-100): Horizontal projection length
█ HOW TO USE
1. Add the indicator to your TradingView chart
2. Configure settings based on your trading timeframe and style
3. Watch for OB+ labels (bullish order blocks) as potential support zones where price may bounce
4. Watch for OB- labels (bearish order blocks) as potential resistance zones where price may reverse
5. Wait for price retracement to the order block zone before taking entries
6. Use confirmation signals like volume spikes or reversal patterns at the order block
7. Place stop loss just outside the order block boundary to manage risk
8. Monitor mitigation: Order blocks disappear when price breaks through them completely
█ TRADING STRATEGY EXAMPLES
Bullish Order Block Strategy
Wait for a market structure shift from bearish to bullish. When price creates a bullish impulse breaking a fractal high, identify the OB+ zone. Enter long positions when price retraces to test the bullish order block, placing stop loss 10-20 pips below the zone's low. Target previous highs or resistance levels.
Bearish Order Block Strategy
Monitor for market structure shift from bullish to bearish. After price creates a bearish impulse breaking a fractal low, locate the OB- zone. Enter short positions when price retraces to test the bearish order block, placing stop loss 10-20 pips above the zone's high. Target previous lows or support levels.
FVG-Confirmed Entries
Enable FVG filtering to only display order blocks validated by Fair Value Gaps. These aligned setups increase probability as they combine institutional order placement with market inefficiencies. Trade retracements to these high-confluence zones for better risk-reward ratios.
█ IDEAL FOR
- ICT Traders: Follows Inner Circle Trader methodology for institutional order flow
- Smart Money Concepts: Tracks where large players place orders
- Swing Traders: Identifies key support/resistance for multi-day holds
- Price Action Traders: Pure chart-based approach without lagging indicators
- Breakout Traders: Confirms structure breaks with fractal patterns
- Forex, Crypto, and Stock Markets: Works on all liquid markets and timeframes
█ TECHNICAL SPECIFICATIONS
- Max Boxes: 500
- Max Labels: 500
- Detection Method: 5-bar fractal pattern recognition
- Mitigation Logic: Automatic removal when price breaks order block boundaries
- Time Projection: Uses time offset calculations for box extension
- Array Management: Dynamic array cleanup to prevent memory issues
█ NOTES & DISCLAIMERS
- Order blocks work best when combined with overall market context and trend analysis
- Not all order blocks result in price reversals; use proper risk management
- FVG filtering may reduce the number of signals but increases quality
- Fractal patterns require 5 bars to form, causing a 2-bar delay in detection
- Works optimally on higher timeframes (4H, Daily) for institutional footprints
- This indicator does not guarantee profitable trades; always use stop losses
- Past performance of order blocks does not predict future results
- Compatible with other ICT concepts like liquidity sweeps and market structure
Cruzamento MACD 15 min sauloCruzamento macd nos 15 min, quando acontece o cruzamento o indicador da o sinal de compra e venda.
