[PAPI] TF-OBV-ATR-Weighted MACDThis is a MACD indicator with a few differences:
Multi-Timeframe: The indicator calculates the "MACD", the "Signal" and the "Histogram" for four user-defined timeframes.
Volume weighted: The three MACD variables calculated for each timeframe above are weight-averaged according to On Balance Volume (OBV).
Volatility weighted: The three MACD variables calculated for each time frame above are also weight-averaged according to Average True Range (ATR)
The MACD, Signal and Histogram are plotted.
I use the indicator twice. Once with the user defined Timeframes set to high TFs (Month/Week/Day/4h) - this is for directional bias. And once with lower TFs (1m/3m/15m/1h).
Ciclos
[PAPI] TF-OBV-ATR-Weighted MACDThis is a MACD indicator with a few differences:
Multi-Timeframe: The indicator calculates the "MACD", the "Signal" and the "Histogram" for four user-defined timeframes.
Volume weighted: The three MACD variables calculated for each timeframe above are weight-averaged according to On Balance Volume (OBV).
Volatility weighted: The three MACD variables calculated for each time frame above are also weight-averaged according to Average True Range (ATR)
The MACD, Signal and Histogram are plotted.
I use the indicator twice. Once with the user defined Timeframes set to high TFs (Month/Week/Day/4h) - this is for directional bias. And once with lower TFs (1m/3m/15m/1h).
MA4 Alignment with Forward ProjectionThis indicator is a moving-average alignment and projection overlay built on a simple core idea:
MA4 (a 4-period moving average) represents the current short-term mean of price.
MA4 is the prior value of that same moving average, used as a 1-bar delayed reference.
From those two series, the script provides four layers of information:
Live alignment (MA4 vs MA4 )
A forward projection of a sampled historical MA pattern
Projected cross markers (vertical lines) when the projected MA4 would cross projected MA4
A compact table summarizing current alignment and the most recent live cross event
This is designed to help traders visualize:
whether short-term mean behavior is strengthening or weakening, and
where a future cross could plausibly occur if a selected historical pattern repeats.
This script is informational only and does not place trades.
Chart Setup Note (Important)
Because this tool samples a historical pattern window and projects it forward, it is important to let the chart fully load/merge historical data before interpreting the projection.
If the chart history is not fully loaded, the sampled window may be incomplete, which can shift the projection and projected cross markers.
Once the chart is fully merged, the projection remains stable and consistent during scrolling and replay.
What Makes It Different
This is not a basic “MA crossover” indicator. The core differentiator is:
The script extracts a historical MA4 pattern from a user-defined window,
shifts it forward into the future, and
marks projected future crosses between the projected MA4 and projected MA4 .
It also builds projected deviation envelopes from the sampled window and uses those envelopes for optional stretch/invalidation alerts.
How the Projection Works (Concept)
1) Sample a historical MA “pattern window”
You define a window in the past using:
Pattern Start (bars back)
Pattern End (bars back)
The script collects MA4 values across that window into an internal pattern array.
2) Shift the pattern forward
Shift Pattern Forward (bars) controls how far into the future the sampled pattern is plotted.
3) Delta-anchor projection (optional)
If Delta-anchor projection is enabled, the script projects the shape of the pattern while re-centering it around the current MA4 level.
This keeps the projection visually relevant to current price scale instead of “pasting” old absolute values.
Projected Cross Vertical Lines
When projection is enabled, the script checks for projected cross events:
Bull projected cross: projected MA4 rises through projected MA4
Bear projected cross: projected MA4 falls through projected MA4
When a projected cross occurs, a vertical line marks that projected bar as a possible timing point.
Vertical line visibility is made more consistent by using a deviation-based height (with ATR fallback) so the marker remains readable across different symbols and volatility regimes.
Projected Deviation Envelopes + Alerts (Band 3 / Band 4)
The script measures historical deviation from MA4 within the sampled window using the standard deviation of:
(close − MA4)
That deviation is then applied to the projected MA4 path to form projected envelopes:
Band 3 (Stretch): ±(StDev × 1.618 by default)
Band 4 (Invalidation): ±(StDev × 2.618 by default)
Optional alerts can trigger when price breaches these projected envelopes:
Band 3 Breach: price stretched outside the projected range
Band 4 Breach: price exceeded the larger projected boundary (often treated as invalidation context)
Alerts can be set to use wicks or close.
Table: What It Shows
The table summarizes the current state at a glance:
MA4 value
MA4 value
Alignment: Bullish / Bearish / Neutral
Most recent live cross event:
BUY (MA4 crossed above MA4 )
SELL (MA4 crossed below MA4 )
This helps confirm what you’re seeing without relying on visual estimation.
How to Use It (Simple Workflow)
Read live alignment
MA4 above MA4 = bullish bias
MA4 below MA4 = bearish bias
Enable projection for timing awareness
Turn on Projection
Watch projected cross VLines as “possible next inflection timing” markers
Use Band 3 / Band 4 as context
Band 3 breach can indicate stretch vs the projected path
Band 4 breach can indicate the projected path is less reliable (invalidation context)
Use the table for quick confirmation
It summarizes alignment and the latest live cross state.
Multi-cycle EMA50 full-screen solid lineA small tool to help you check the price of EMA50 over multiple periods.
XAUSNIPERThis is for all subscribers
1. Use color candles
2. Use mitigation
3. Use lux algo structure shifts
Multi-Session H/L - Sweep & Grab v5# Multi-Session High/Low Levels with Liquidity Sweep & Grab Detection
## Overview
This indicator automatically identifies and plots the High and Low levels of key trading sessions (Asia, London, New York AM, New York PM) and Previous Day levels. It features advanced **Liquidity Sweep** and **Liquidity Grab** detection based on ICT/SMC methodology.
## Key Features
### 📊 Multi-Session Tracking
- **Asia Session** - Captures the Asian trading range
- **London Session** - Tracks the London open volatility
- **New York AM Session** - Monitors the NY morning session
- **New York PM Session** - Follows the afternoon price action
- **Previous Day High/Low** - Key daily reference levels
### 💧 Liquidity Detection (ICT/SMC Concepts)
**Liquidity Grab:**
- Detected when price **wicks through** a level but **closes back** inside
- Single candle event with rejection
- Often signals a potential reversal
- Label shows: `"Session H/L (Grab)"`
**Liquidity Sweep:**
- Detected when price **closes beyond** the level
- Indicates liquidity has been fully taken
- Label shows: `"Session H/L (Swept)"`
### 🎯 Visual Features
- Lines automatically **stop at the candle** where liquidity was grabbed or swept
- Different line styles for Active / Grabbed / Swept levels
- Customizable colors for each session
- Optional session background highlighting
- Information table showing all levels and their status
### ⚙️ Customization Options
- Adjustable session times for any timezone (GMT+0 to GMT+5)
- Calculation timeframe selection
- Line width and style settings
- Label size options
- Toggle each session on/off
- "Stop Line on Grab" option
### 🔔 Alerts
- Separate alerts for **Liquidity Grab** events
- Separate alerts for **Liquidity Sweep** events
- Available for all sessions and Previous Day levels
## How to Use
1. **Identify Key Levels:** The indicator automatically marks session highs and lows
2. **Watch for Liquidity Events:** Monitor when price approaches these levels
3. **Grab = Potential Reversal:** A liquidity grab (wick rejection) often signals smart money has collected orders and price may reverse
4. **Sweep = Liquidity Taken:** A sweep (close beyond level) confirms the liquidity pool has been cleared
5. **Plan Your Trades:** Use these levels in confluence with other SMC concepts like Fair Value Gaps (FVG) and Order Blocks (OB)
## Status Colors in Table
- 🟢 **Green (Active)** - Level has not been touched
- 🟠 **Orange (Grab)** - Wick touched the level, potential reversal zone
- 🔴 **Red (Swept)** - Close beyond level, liquidity fully taken
## Settings Explained
| Setting | Description |
|---------|-------------|
| Calculation Timeframe | Timeframe used for session calculations |
| Timezone | Your broker's timezone (GMT+0 to GMT+5) |
| Extend Lines | Extend active lines into the future |
| Stop Line on Grab | If enabled, lines stop when grabbed (not just swept) |
| Swept/Grab Line Style | Visual differentiation for liquidity events |
## Notes
- Works on all markets (Forex, Crypto, Stocks, Indices, Commodities)
- Best used on timeframes from 1min to 1H
- Session times are fully customizable to match your time zone
- The indicator respects the ICT/SMC definition where a **Grab** is a single-candle wick rejection and a **Sweep** involves price closing beyond the level
Titan Distance & Momentum [Professional Suite]Are you tired of "whipsaws" and false breakouts?
The Titan Distance & Momentum is not just another oscillator. It is a specialized quantitative tool designed to solve the two biggest problems in day trading: Market Exhaustion and Trend Filters.
While standard indicators (like RSI or MACD) generate noisy signals, the Titan Distance algorithm focuses on Clarity and Mean Reversion logic.
🚀 KEY FEATURES:
1. Real-Time Distance Dashboard (The "Elastic" Effect) Most traders lose money by buying tops or selling bottoms. This indicator calculates the exact distance (in points) between the current price and the 200-period Moving Average.
Visual Alert: The background automatically turns RED or GREEN when the price is statistically "overstretched" (too far from the mean).
The Logic: When the background lights up, the "elastic" is stretched. STOP following the trend and prepare for a reversion or pullback.
2. "Quantum" Smoothed Momentum We replaced the jagged, hard-to-read lines of traditional oscillators with a triple-smoothed exponential wave.
Green Wave: Positive clean momentum (Safe to buy).
Red Wave: Negative clean momentum (Safe to sell).
Zero Lag: Designed to react faster than standard MACD but smoother than raw RSI.
🎯 HOW TO USE IT:
Trend Following: Only take BUY trades when the Wave is Green and rising above the Zero Line.
The Filter: If your strategy gives a signal, LOOK DOWN. Is the background colored (Red/Green)? If yes, the market is overextended. Do not enter. Wait for the price to return to the average.
Dashboard: Check the label on the right side. It tells you exactly how many points away the price is from the 200 EMA (e.g., "+500 pts").
⚙️ SETTINGS:
Momentum Length: Adjust the sensitivity of the wave.
Distance Alert: Set the threshold (in points) to trigger the background color alert (Default: 1000 points for Indices).
Designed for precision. Built for professionals.
The Automatic Channel Revolution [8 Levels + Slicing]Stop wasting time manually drawing lines and start trading.
I present to the community Fimathe Master Pro, a unique tool designed to completely automate the Fimathe technique, eliminating subjectivity and human error when drawing channels.
Many traders miss entry timing while adjusting rectangles or manually calculating the 50% (slicing) levels. This script solves that instantly, creating a visual structure that is clean, professional, and objective for Day Trading (Indices, Forex, and Crypto).
🚀 WHAT MAKES THIS SCRIPT UNIQUE?
Unlike other indicators that simply plot support and resistance lines, Fimathe Master Pro creates a Dynamic Block Structure:
Automatic Reference Channel: You define the time range (e.g., first 30 min or 1h), and the script automatically detects the High and Low, locking in the Reference Channel and Neutral Zone.
8-Level Expansion System (New): The indicator automatically projects 4 Levels Up and 4 Levels Down. You will never run out of targets during strong trend days again.
Visual Slicing (50%): The script automatically draws discrete dotted lines in the middle of each channel, allowing for precise "slicing" operations (sub-channel trading) without cluttering the chart.
Clean & Transparent Visuals: Developed with an intelligent transparency layer (92%), ensuring you can see the candles perfectly while identifying Buy and Sell zones.
⚙️ HOW TO CONFIGURE:
Session: Default is set to 0900-0930 (First 30 min). If you trade the Classic Fimathe (1 hour), simply change it in the settings to 0900-1000.
Slicing: Can be toggled on or off with a single click.
Colors: Fully customizable to fit your template (Dark or Light mode).
🎯 WHO IS THIS INDICATOR FOR?
Ideal for Price Action traders and students of the Fimathe technique who want to professionalize their screen and gain agility in decision-making.
If this script helped your market reading, please leave a BOOST (Like) and comment your suggestions below!
Mean Reversion Oleg📘 Description
This script is an extended and customized version of the original “Mean Reversion V‑F” created by the respected author fullmax.
I adapted the logic for my own trading workflow and added several improvements aimed at stability, automation, and exchange‑safe execution when using webhooks.
🔧 Key Enhancements
Lot precision control (prevents exchange errors when sending webhook orders)
Base order labels for visual clarity
Mini‑table with live position metrics
Dynamic deviation levels (L1–L5)
Static averaging levels (B2–B5)
Trailing take‑profit option
Support for stock mode (fixed units instead of quantity)
Webhook fields for entry and exit signals
🎯 How the Strategy Works
The script calculates a moving average and builds five deviation‑based levels below it.
When price reaches these levels, the strategy opens a base order (B1) and then averages the position using B2–B5 levels.
After entering a position, the strategy manages it using:
a fixed take‑profit target
or an optional trailing take‑profit
plus a visual table showing position size, USD value, open PnL, and equity
All quantities are rounded according to the selected lot precision to ensure compatibility with exchange requirements when using webhook automation.
⚙️ Features Overview
Automated long entries based on deviation levels
Configurable order sizes for each averaging step
Optional stock‑mode (units instead of calculated quantity)
Dynamic and static level visualization
Trailing TP with adjustable distance
Clean UI with optional labels and mini‑table
📝 Disclaimer
This script is provided for educational purposes only.
It does not constitute financial advice and does not guarantee profits.
Always test strategies on historical data before using them in live trading.
Trade ManagerDescription
This script is a trade‑management system designed for both automated and manual trading workflows.
It combines VWRSI‑based signals, customizable price levels, safety orders, take‑profit logic, and optional MA‑trend filtering.
Key features:
Automated entries based on VWRSI
Manual LONG/SHORT level entries
Priority‑based entry logic (first condition triggers the trade)
Safety order scaling (volume and step multipliers)
Take‑profit targets for both LONG and SHORT positions
Breakeven logic with adjustable thresholds
Optional MA‑trend filter
Mini‑table showing position metrics
Base order labels and lot‑precision control
How it works:
If multiple entry modes are enabled, the script opens a position based on the first condition reached.
After entering a trade, the position can be averaged using safety orders and closed at the configured profit target.
Notes:
This script is for educational purposes and does not guarantee profits.
Always test on historical data and understand the risks before using it in live trading.
7 Wonder Moving Average [DR Trade]Moving Averages are easy-to-learn indicators for beginners.
We provide seven moving average indicators that can be customized to suit each trader's needs. We also offer a selection of moving averages: the Simple Moving Average, the Exponential Moving Average, and the Hull Moving Average.
We provide the Hull Moving Average for traders to more accurately identify trends and potential reversals. The HMA is more responsive to recent price changes than the SMA or EMA, while still maintaining a smooth trendline. The HMA was first introduced by Alan Hull to address the lag and noise of traditional moving averages (MAs).
The best way to use the HMA indicator is to use a 100-period indicator on the H1 timeframe.
The other six indicators can be customized by each trader.
Thank you.
Intraday Toolkit1. Visual Components of the Indicator
Understanding the visual cues is essential for quick decision-making during fast-moving intraday sessions:
Trend Background: The background color represents the Primary Cycle (80-period) bias. Green indicates a bullish trend (price is above the primary cycle), and red indicates a bearish trend (price is below the primary cycle).
The Three Cycles:
Yellow Line: Short Cycle (20) – Used for momentum triggers.
Orange Line: Mid Cycle (40) – Represents the baseline for volatility envelopes.
Red Line: Primary Cycle (80) – Defines the overall trend direction.
Volatility Envelopes: Two green lines plotted at a distance (1.5x ATR) from the Mid Cycle. These act as exhaustion zones where price is likely to revert or consolidate.
Rule 3 Signals (Purple Circles): These appear when a specific 3-candle momentum breakout occurs.
2. Trading Strategy for 5m & 15m
This toolkit is most effective when you use the 15m chart for trend confirmation and the 5m chart for precise entries.
Long (Buy) Setup
Enter a long position when the following alignment occurs:
Bullish Bias: The background must be Green (Price > Primary Cycle).
Cycle Low: A pivot low must have been detected (the indicator identifies a local bottom).
Momentum Trigger: Price must close above the Yellow Short Cycle line while the previous candle was below it.
Rule 3 Confirmation: If a purple circle appears simultaneously, it confirms strong buying momentum.
Short (Sell) Setup
Enter a short position when the following alignment occurs:
Bearish Bias: The background must be Red (Price < Primary Cycle).
Cycle High: A pivot high must have been detected (the indicator identifies a local top).
Momentum Trigger: Price must close below the Yellow Short Cycle line while the previous candle was above it.
Rule 3 Confirmation: A purple circle above the price confirms a bearish momentum shift.
3. Exit and Take-Profit Logic
The script includes "State Control" to manage your exits effectively:
Targeting the Envelopes: The primary profit target is the Outer Green Envelope. If price touches the upper envelope (for longs) or lower envelope (for shorts), the trend may be exhausted.
Momentum Exit: If price crosses back over the Yellow Short Cycle line in the opposite direction of your trade, the toolkit considers the move over and signals an exit.
4. Specific Tips for Day Trading
Avoid "Counter-Trend" Signals: Do not take Buy signals if the background is Red, or Sell signals if the background is Green. The logic is built to filter these out for better win rates.
The "Rule 3" Advantage: Use the purple circles as a "second chance" entry. If you missed the initial Buy/Sell signal, a Rule 3 circle indicates momentum is still strong in that direction.
Timeframe Synergy: * 15m: Best for seeing the "Big Picture" and avoiding noise.
5m: Best for finding entries with smaller stop-losses near the Yellow Short Cycle line.
FED Net Liquidity (WALCL - TGA - RRP)a measure of FED net liquidity with color codes. What is FED Net Liquidity?
FED Net Liquidity is a proxy for how much usable US-dollar liquidity is actually available to financial markets.
It combines three balance-sheet items from the Federal Reserve and the US Treasury into one number:
FED Net Liquidity =
FED Balance Sheet (WALCL) − Treasury General Account (TGA) − Reverse Repo (RRP)
The goal is simple:
to estimate how much money is “in play” for risk assets, rather than parked or withdrawn.
Indian Equities Theme Tracker [EWT] - Sector Rotation HeatmapIdentify where the "Smart Money" is flowing in the Indian Markets.
The Indian Equities Theme Tracker is a powerful visual dashboard designed for NSE traders and investors to monitor sector rotation and relative strength in real-time. By tracking the most liquid Exchange Traded Funds (ETFs), this tool provides a birds-eye view of the Indian economy—from core benchmarks like Nifty 50 and Nifty 500 to high-growth themes like Defence, EV, Tourism, and Energy.
In modern markets, capital doesn't move into all stocks at once; it rotates between sectors. This script helps you spot the leaders and laggards across five different timeframes, ensuring you are always positioned in the strongest themes.
🚀 Key Features :
23+ Essential Themes: Tracks Broad Market, Market Caps (Mid/Small), Sectors (IT, Bank, Auto, Metal), and Narratives (Defence, Tourism, EV, Energy).
Dynamic Performance Sorting: Automatically reorders the table based on your selected lookback (1 Day, 1 Week, 1 Month, 3 Months, or YTD).
Heatmap Logic: Intuitive color coding helps you instantly identify extreme bullishness or bearishness across the board.
Liquidity Focused: Uses the most liquid NSE ETFs (BeES and equivalent) to ensure the data is accurate and reflects tradeable prices.
Pro UI Design: A clean, professional dashboard that can be positioned anywhere on your chart without cluttering your price action analysis.
📊 Themes Included :
Benchmarks: Nifty 500, Nifty 50, Nifty Next 50.
Market Caps: Midcap 150, Smallcap 250.
Sectors: Private & PSU Banks, IT, Pharma, Healthcare, FMCG, Auto, Metals, Infra, Realty.
Thematic/Narratives: Defence, Tourism, Energy, EV & New Age Automotive, Consumption.
Safe Havens: Gold & Silver.
🛠️ How to use :
Timeframe: Switch to the Daily (D) timeframe for the best results.
Settings: Use the inputs to change the table position (Top/Middle/Bottom) and the sorting criteria.
Strategy: Look for themes that are consistently at the top of the "1 Month" and "3 Month" lists—these are your structural leaders. Use "1 Day" to spot quick tactical bounces.
Disclaimer: This indicator is for educational and informational purposes only and does not constitute financial advice. Always perform your own due diligence.
MAG7 and VIXMAG7 and VIX is a institutional-grade market breadth and sentiment dashboard designed specifically for Nasdaq (NQ) traders. Instead of relying on a single price chart, this indicator provides a "look under the hood" of the market by tracking the volatility of the entire index and the individual performance of the seven stocks that drive over 40% of the Nasdaq 100's movement.
Core Components
1. The Fear Gauges (Volatility Monitoring)
This section tracks the VIX (S&P 500 Volatility) and VXN (Nasdaq Volatility).
The Logic: Volatility and price usually have an inverse relationship.
Risk-On: When these numbers are Green (negative %), volatility is dropping, which usually provides a "tailwind" for stocks to rise.
Risk-Off: When these numbers turn Red (positive %), fear is entering the market, often preceding a sharp sell-off or indicating that a rally is built on "shaky ground."
2. Tech Leaders (Market Breadth)
This monitors the Mag7 (NVDA, AAPL, MSFT, AMZN, GOOG, META, TSLA). The dashboard calculates a Weighted Average of these leaders to show the true strength of the "engines" behind the NQ.
Weights: NVDA, AAPL, and MSFT are given 1.5x weight because their market caps have the highest impact on the index.
Individual Heatmap: Each stock has its own cell that changes color based on its performance relative to the daily open.
Using the Dashboard for Divergence Trading
The primary value of this indicator is spotting Divergence, which occurs when the NQ price is lying to you but the internal data shows the truth.
Bearish Breadth Divergence: The NQ hits a new high, but the Tech Leaders Average is negative, and most individual cells (like NVDA or MSFT) are red. This indicates the move is "thin" and likely a bull trap.
Bullish Breadth Divergence: The NQ is flushing to new lows, but the Tech Leaders are starting to turn green or the Fear Gauges are rapidly dropping. This often signals that a bottom is being put in.
Dashboard Placement & Aesthetics
Top Center Positioning: Placed by default at the top-center of your chart to keep your eyes on the price action while maintaining peripheral awareness of the macro data.
Large UI: Designed for high-resolution screens so you can read the percentage shifts without squinting during fast-moving "Turbo" sessions.
Real-Time Updates: The data is fetched dynamically using request.security, ensuring the "Heatmap" reflects current intraday strength rather than just yesterday's close.
Macro 6-PackMacro 6-Pack dashboard: SPX momentum, VIX, HY credit spread, 10Y yield shifts, DXY trend, and 2s10s curve.
Theme TrackerTheme Tracker is a clean, at-a-glance theme rotation dashboard built to help you quickly identify where money is flowing—and where it’s leaving—across the market’s most important macro, sector, and industry themes.
Instead of bouncing between dozens of charts, Theme Tracker tracks a curated basket of 40 major theme ETFs and displays their relative performance across multiple timeframes, so you can instantly spot leadership, momentum shifts, and early rotation.
What it shows
For each theme ETF, the table displays performance over:
1 Day
1 Week
1 Month
3 Months
Year to Date (YTD)
Themes are ranked automatically by the timeframe you choose, allowing you to focus on what matters most in the current market regime—short-term momentum, intermediate rotation, or longer-term trend leadership.
Why it’s useful
Market leaders change. Rotation happens quietly at first, then suddenly.
Theme Tracker helps you:
Find the strongest themes fast (the “winners” attracting capital)
Spot weakening themes early (distribution and risk-off rotation)
Confirm market tone by comparing offensive vs defensive leadership
Generate trade ideas by focusing on the themes that are already being bid up
Avoid laggards by seeing what’s consistently underperforming across timeframes
When a theme is strong across multiple timeframes, that’s often where momentum traders and institutions are concentrating exposure. When it’s weak across timeframes, that’s often where capital is exiting.
How to use it
1) Choose your sort timeframe
Use the Sort setting (1D / 1W / 1M / 3M / YTD) to rank themes based on your trading horizon.
2) Look for alignment
Strong across all columns = sustained leadership
Strong short-term, weak long-term = potential bounce / rotation attempt
Weak short-term, strong long-term = possible pullback in a leader
Weak across the board = consistent capital outflow
3) Pair with your chartwork
Use the strongest themes as a shortlist for deeper chart analysis, setups, and relative strength confirmation.
Visual design
The table uses clear formatting and heat-style shading to make it easy to read quickly. Green tones highlight strength; red tones highlight weakness—so you can interpret rotation in seconds without overthinking.
If you trade momentum, relative strength, or market structure, Theme Tracker gives you one of the simplest edges available: knowing what’s leading right now. Track the best-performing themes, identify emerging rotation, and stay aligned with the areas of the market where capital is actually moving.
Neeson Crypto Cycle - Super Enhanced EditionThe "Neeson Crypto Cycle - Super Enhanced Edition": A Philosophical and Practical Framework for Market Analysis
Originality & Core Philosophy
Most trading indicators focus on a single domain: pure price action, a specific economic theory, or a handful of technical oscillators. The "Neeson Crypto Cycle" breaks this paradigm. Its fundamental originality lies not in inventing one new mathematical formula, but in architecting a multi-dimensional, multi-timeframe convergence framework. It operates on a core philosophical premise: financial markets are Complex Adaptive Systems (CAS) influenced by a symphony of concurrent cycles. These cycles range from mathematical and technical ones visible on the chart, to fundamental economic rhythms, down to collective human psychology and even speculative meta-patterns.
The script is built as a "dashboard of dashboards," attempting to quantify and visualize these disparate layers on a single pane. It does not claim predictive certainty but aims to provide a holistic situational awareness, allowing the trader to identify when multiple, unrelated cycles from different domains align (convergence) or conflict (divergence).
What It Does & How It Achieves It
The indicator functions as a comprehensive market-phase and sentiment analysis engine implemented directly on the TradingView chart. It is an overlay indicator that provides visual plots, background coloring, signal labels, and, most notably, extensive multi-table data panels.
Its implementation can be broken down into several operational layers:
1. The Core Technical Cycle Layer:
This is the foundational price-based engine. It simultaneously tracks multiple proprietary cyclical models derived from moving average crossovers with non-standard periods believed to capture crypto-specific rhythms.
CCT Pi Cycle: Uses the interaction between a 150-period EMA / 471-period SMA pair (for "bottom" identification) and a 111-period SMA / (350-period SMA * 2) pair (for "top" identification). It identifies golden/death crosses within these specific pairs.
Atlantean Signals: A variant using similar periods (471, 150, 350, 111) but with different multipliers (e.g., 0.745) and crossover logic to define "Market Bottom," "Bull Market Start," and "Market Top" events.
Bitcoin Cycle: Based on the interaction between a 116-period SMA and a doubled 365-period SMA.
Golden Pi Cycle: Another variant using SMAs of 111, 350, 150, and 471 periods.
These are not just four random moving average systems; they are distinct models targeting different aspects of the purported "Pi-based" and long-term cyclicality in Bitcoin's price history. The script visually plots these lines and labels their crossover events.
2. The Market Phase & Structural Context Layer:
Background Coloring: It dynamically colors the chart background (blue for "Bottom to Top" phase, orange for "Top to Bottom" phase) based on the sequential logic of Atlantean signals, providing immediate visual context for the perceived market regime.
Halving Event Annotations: It marks key historical and projected Bitcoin halving dates with vertical lines and labels, anchoring price action to this fundamental supply schedule.
3. The Quantitative Dashboard Layer (Technical & On-Chain):
This is where the script transitions from chart plotting to an information system. It renders multiple fixed tables on the chart (bottom-left, bottom-center, bottom-right) only on the last bar.
Technical Sentiment Dashboard (Right): A massive table aggregating over a dozen classic and advanced technical indicators (RSI, MACD, Bollinger Bands, Stochastic, ADX, Ichimoku, Parabolic SAR, Fibonacci levels, etc.). For each, it shows a calculated Status (e.g., "Overbought"), a numeric Value, and a concise Advice (e.g., "Sell"). It then groups these into "Cycle Indicators" (status of the core models above) and "Risk Management" metrics (Max Drawdown, Sharpe Ratio simulation, volatility).
Synthetic On-Chain Metrics Dashboard (Center): Since TradingView cannot pull real on-chain data, the script ingeniously simulates 80 different on-chain metrics (NVT, MVRV, Hash Rate, Exchange Flows, HODL Waves, S2F, etc.) by deriving them from price and volume data. Each metric displays a name, a simulated value, a signal ("Overvalued"), and a color code. This provides a proxy for the fundamental/network health narrative.
Multi-Cycle Systems Dashboard (Left): This table transcends traditional finance, cataloging the status of various long-wave cycles:
Economic Cycles: Kondratieff (50-60yr), Kuznets (15-25yr), Juglar (7-11yr), Kitchin (3-5yr), etc., each with a hardcoded current phase (e.g., "Recession (2020-2030)"), impact, and advice.
Speculative & Novel Cycles: Lunar, Seasonal, Commodity Super, Debt, and Innovation cycles.
Esoteric Systems: A full celestial (astrological) positioning of planets and a Four Pillars of Destiny (Bazi) reading, each with assigned market "impact" and "advice."
4. The Synthesis & Alert Layer:
Comprehensive Statistics: The right dashboard concludes with a tally of "Bullish vs. Bearish Signals" from across all technical and cycle indicators, generating an "Overall Sentiment" score.
Alert System: It creates TradingView alert conditions for every major crossover event from the core cycle models (CCT, Atlantean, Bitcoin, Golden Pi), allowing for automated notifications.
Underlying Calculation Logic & Rationale
The logic is built on convergence and weighted evidence. The creator's hypothesis appears to be that significant market turning points are rarely signaled by one indicator in isolation. Instead, they occur when:
Multiple Price-Based Cycle Models Align: When the CCT, Atlantean, and Bitcoin cycles all approach a "bottom" or "top" signal near the same time, the probability of a true phase change is considered higher.
Technical Conditions Match the Cycle Phase: A "Bull Market Start" signal is more credible if accompanied by oversold RSI/Stochastic, bullish MACD, and money flowing in (rising OBV).
The Macro Backdrop Supports the Narrative: The script hardcodes a specific macroeconomic worldview (e.g., "Tightening Credit Cycle," "AI Revolution Tech Cycle") to remind the user of the broader environment the price cycles are operating within.
Awareness of "Non-Rational" Drivers: By including astrological and Bazi elements, the script acknowledges that market narratives and crowd psychology can sometimes be influenced by or framed within these non-traditional systems. It doesn't necessarily predict with them but tracks them as potential sentiment catalysts.
The calculations for technical indicators are standard. The novelty is in their collective presentation and the synthetic creation of supporting data realms (on-chain, economic, esoteric) to form a complete, albeit highly speculative, "universe" of market-influencing factors.
How to Use It: A Practical Guide
This is not a "set and forget" system that generates simple buy/sell arrows. It is a decision-support and research tool.
Market Phase Identification: First, look at the background color and the status of the core cycle models in the right dashboard. Are you in a blue "Bottom to Top" phase? Check if the Atlantean "Bull Market Start" is active. This sets your primary bias.
Seeking Convergent Signals: Before acting on a cycle signal, cross-reference it with the Technical Sentiment dashboard. For example, an Atlantean "Market Top" signal is stronger if the RSI and Stochastic also show "Overbought," the MACD is "Bearish," and the Fear & Greed Index is in "Extreme Greed." Look for clusters of agreement.
Context from Other Dimensions: Check the On-Chain dashboard. Does the synthetic data suggest the network is "Overheated" or "Undervalued"? Check the Economic Cycle table. Does the perceived long-wave phase (e.g., "Kondratieff Recession") support a risk-on or risk-off stance? This provides narrative context for your trade thesis.
Risk Management Integration: Before sizing a position, check the Risk Management section. What is the current "Max Drawdown" and "Volatility Risk"? The dashboard suggests position sizing ("Light," "Medium," "Heavy") based on this.
Utilizing Alerts: Set alerts for the key cycle crossovers (CCT, Atlantean, etc.). When an alert triggers, it's your cue to open the chart and perform the full multi-dimensional convergence analysis described above, rather than acting on the alert alone.
In essence, the "Neeson Crypto Cycle" is a conceptual trading terminal. It posits that the modern trader, especially in crypto, must synthesize information from technicals, fundamentals, macroeconomics, and market psychology. By attempting to model all these facets in one place—even through estimation and simulation—it aims to give the user a structured framework for asking the right questions about the current state of the market, rather than providing simplistic, one-dimensional answers. Its value is in the breadth of its perspective and the discipline of multi-factor confirmation it encourages.
Hodrick-Prescott Structural CycleThis script is about solving one specific problem: Decomposition.
In any market, you have two things happening at once: the underlying "Trend" (the structural value) and the "Cycle" (the noise or volatility around that value). The Hodrick-Prescott (HP) filter is the standard econometric tool to separate them.
1. The Separation Logic (HP Filter)
Most moving averages lag. The HP filter attempts to find a smooth curve that represents the long-term path of the asset, minimizing the variance of the cycle.
In the code, the "stiffness" of this curve is controlled by Lambda ().
get_auto_lambda() =>
timeframe.isintraday ? 6250000 :
timeframe.isdaily ? 129600 :
1600
1600 is the standard used by economists for quarterly data. If the timeframe changes (daily or intraday), it automatically scales Lambda up to maintain that same "quarterly" smoothness on a faster chart.
2. The Mechanics (2-Pole Recursion)
The classic HP filter looks at future data, which is impossible for live trading. We uses a 2-Pole Super Smoother to approximate that curve using only past data.
hp_filter_2pole(src, period) =>
// ... coefficients calculated ...
var float filt = 0.0
filt := c1 * (src + nz(src )) / 2 + c2 * nz(filt ) + c3 * nz(filt )
See the filt and filt -> that's recursion. The filter references its own previous output. This creates memory, allowing the line to resist sudden spikes in price (noise) while slowly adapting to the true direction.
3. The Four Market Regimes
This script splits the market into four distinct quadrants based on where the Z-Score is and where it is going.
bool is_expansion = z_score > 0 and z_score > z_score
bool is_downturn = z_score > 0 and z_score < z_score
bool is_recovery = z_score < 0 and z_score > z_score
bool is_recession = z_score < 0 and z_score < z_score
1. Expansion (Green): We are above the trend, and momentum is accelerating.
2. Downturn (Orange): We are above the trend, but momentum is slowing (topping out).
3. Recession (Red): We are below the trend, and price is collapsing.
4. Recovery (Blue): We are below the trend, but price has stopped falling and is turning up.
The Background Zones: Statistical Extremes
This script monitors the Z-Score (the normalized cycle). When this score moves beyond 1.0 standard deviation from the mean (zero), the background lights up.
Red Background (Recession Zone): The Z-Score is < -1.0. Price is significantly below its structural trend. This is where fear is highest, and the asset is statistically "underwater."
Green Background (Overheating Zone): The Z-Score is > 1.0. Price is stretching far above the trend.
Why it matters: Markets rarely stay beyond 2.0 standard deviations for long. When you see the background colored, you are in an outlier event. (The rubber band is stretched)
Divergences: The "Check Engine" Light
It also scans for discrepancies between Price Action and the Cycle Momentum (Z-Score).
Bullish Divergence: Price makes a Lower Low, but the Cycle makes a Higher Low. The sellers are pushing price down, but with less conviction than before.
Bearish Divergence: Price makes a Higher High, but the Cycle makes a Lower High. Buyers are exhausted.
How to use this:
Do not treat a divergence tag as an entry signal.
A divergence is a state of discrepancy, not a timing trigger. It tells you that the prevailing trend is running out of steam.
ICT Silver Bullet BoxesOverview
This Pine Script v6 indicator is a streamlined tool designed for ICT (Inner Circle Trader) students, specifically optimized for traders in the Dhaka (GMT+6) time zone. It automates the drawing of high-probability liquidity zones based on the Asian Range and the Silver Bullet algorithm windows.
Unlike standard session highlights, this script focuses on the price action boundaries (Highs and Lows) within these specific windows to help you identify liquidity pools and potential "Judas Swing" targets.
Key Features
Asian Range (Liquidity Phase): Automatically marks the high and low of the 7:00 PM – 12:00 AM NY window (6:00 AM – 11:00 AM Dhaka). This box represents the day's initial consolidation where buy-side and sell-side liquidity is engineered.
Silver Bullet Windows: Highlights the two most critical 60-minute windows:
London Silver Bullet: 3:00 AM – 4:00 AM NY (2:00 PM – 3:00 PM Dhaka)
NY AM Silver Bullet: 10:00 AM – 11:00 AM NY (9:00 PM – 10:00 PM Dhaka)
Automatic DST Adjustment: The script uses the America/New_York timezone internally. This means the boxes will automatically shift correctly when New York enters Daylight Saving Time, keeping your Dhaka chart accurate year-round.
Clean Visuals: Instead of coloring the entire background, the script draws precise boxes around the price action High/Low of each session for a clutter-free experience.
How to Use
Mark Liquidity: Use the Asian Range Box to identify where the "stops" are resting.
Anticipate the Sweep: During the London or NY Open, look for price to raid the Asian High or Low.
Execute the Bullet: Within the Silver Bullet boxes, look for a Market Structure Shift (MSS) and a Fair Value Gap (FVG) for your entry.
Settings
Custom Colors: Fully customizable colors and opacity for both London and New York sessions.
Borders: Toggle borders on/off to match your chart theme.
Price Probability Engine - Volatility & Structure-Based TargetsThe aim of the indicator is:
To provide adaptive, probability-weighted price target zones that help traders frame where price is most likely to interact next, without predicting when or guaranteeing direction.
Price Probability Engine is a target-projection overlay that blends three independent “next-move” reference methods into a single pair of AVG targets:
AVG Bull = a probabilistic upside objective
AVG Bear = a probabilistic downside objective
It is designed to help you frame the most reasonable near-term price zones using both volatility (ATR) and structure (pivot swings + measured moves) rather than relying on a single indicator.
What you see on the chart
When enabled, the script plots:
AVG Bull line (upper target)
AVG Bear line (lower target)
Optional last-bar labels that print the current target values
The overlay is scale-locked so the plots stay aligned with price when you scroll/zoom the chart.
How it works (conceptual, step-by-step)
1) ATR “reach filter” (probability gating)
All components are first checked against a reach filter:
A target is considered “reachable” only if it is within
Reach Filter × ATR from the current price.
This prevents extremely distant projections from dominating the final average.
2) Three component target engines
The script computes three upside candidates and three downside candidates:
A) ATR Component (volatility projection)
Uses ATR Length and ATR Multiplier
Projects a simple near-term band around price:
atrBull = close + ATR × mult
atrBear = close - ATR × mult
Direction mode:
Candle: compares close to close
Momentum(3): uses close − close
B) AutoFib Component (swing extension)
Detects swing highs/lows using pivot logic (Left/Right bars)
Projects an extension using a selectable Fib level (1.272 / 1.414 / 1.618 / 2.0 / 2.618)
Gives a structure-based target derived from the current swing range
C) Lindsey Component (measured-move target)
Detects a 3-point pivot sequence (P1/P2/P3) and projects a measured move to P4:
Bull: from a low-high-higher-low sequence
Bear: from a high-low-lower-high sequence
Optional P1/P2/P3 markers can be displayed for learning/debugging
3) Dynamic weighting (closer targets matter more)
If Dynamic Weights is enabled, each component’s weight increases as the target gets closer to price (within the reach window).
This means the final AVG tends to favor targets that are both reachable and near-term relevant.
You can control:
Base Weight (Fib / Lindsey / ATR)
Dynamic Power (how aggressively “closer” becomes “heavier”)
4) Outlier trimming (stability)
If Trim Outlier Component is enabled, the script:
computes a simple median reference of the remaining component targets
drops any target that deviates from the median by more than
Outlier Threshold × ATR
This reduces sudden jumps when one method produces an unusually extreme projection.
5) Final output: a weighted average (bull + bear)
The remaining eligible components are combined into:
AVG Bull (weighted average of bull candidates)
AVG Bear (weighted average of bear candidates)
If no components pass the reach filter (or are trimmed), the AVG line can temporarily become unavailable until valid inputs re-appear.
How to use it (practical workflow)
Pick your timeframe, then tune ATR:
Start with ATR Length 14 and ATR Mult 1.0–1.5
Set a reasonable Reach Filter (x ATR):
Smaller = only near targets
Larger = includes more distant projections
Decide how you want it to behave:
Dynamic Weights ON for “closer targets dominate”
Outlier Trim ON for smoother / less erratic averages
Use the AVG lines as planning zones, not certainties:
They are best treated as “where price is most likely to seek next” based on the blend of volatility + structure.
A common use is to monitor how price reacts as it approaches either AVG line (stalling, rejection, acceleration), and then reassess as new pivots/ATR values update.
Settings guide (quick)
ATR Length / Multiplier: controls the volatility envelope
Direction Mode: changes the bias input for ATR projection
Lindsey Left/Right: smaller = more sensitive pivots; larger = fewer, more meaningful pivots
Fib Left/Right + Extension: controls the swing structure target
Reach Filter: controls what qualifies as a realistic near-term target
Dynamic Power: higher = stronger preference for the nearest target
Outlier Threshold: higher = fewer removals; lower = more aggressive trimming
Notes / Transparency
This script does not place trades or guarantee outcomes. It is a visual target framework that adapts as volatility and market structure change. For best clarity, publish charts with this script on a clean layout so the AVG lines and labels are easy to identify.
T-Theory - by: Terry LaundryThis script is brought to you, via inspiration by trader Marty Schwarz. His book titled Pit Bull is widely available - for free on PDF. He credits Terry Laundry with the T-Theory, also available for free on look-up.
Here is a description provided on Gemini AI. T-Theory, developed by Terry Laundry, is a technical analysis methodology based on the principle of Time Symmetry. It posits that the market spends an equal amount of time building up energy (the "Magic T") as it does releasing that energy in a trending move.
Here is an objective summary of its core mechanics:
1. The Principle of Symmetry
The central law of T-Theory is that the duration of a market's "cash buildup" phase (the left side of the T) will be matched by the duration of the "run" phase (the right side of the T).
The Center Post: This represents the peak of a market's internal strength or momentum.
The Left Wing: The time from a previous low to the center post.
The Right Wing: The projected time from the center post to the end of the new trend.
2. Time over Price
Unlike many technical indicators that focus on price targets, T-Theory is almost entirely focused on time targets. It suggests that once a "T" is identified, the trend will persist until the time symmetry is exhausted, regardless of how high or low the price goes during that window.
3. Magic T's and Sub-T's
The theory operates on a hierarchical basis:
Grand Macro T's: These define long-term secular trends and can span years.
Minor T's: These represent shorter-term bursts of momentum within a larger trend.
The Law of Proportion: Larger horizontal wings (more time spent consolidating) necessitate larger vertical posts (more significant momentum shifts), creating a visual hierarchy on the chart.
4. Identification via Oscillators
While you requested the script focus on price action, Laundry originally identified these "buildup" phases using the McClellan Oscillator. He looked for periods where the oscillator showed "strength" (buildup) followed by a "breakout" from a trendline on the oscillator itself, which marked the center post of the T.
Key Visual Characteristics
Non-Intersection: In a clean T-Theory setup, the horizontal "wings" represent time spans and should ideally sit above or below the price action to clearly define the period of the trade without being obscured by daily volatility.
The Center Post Gap: The vertical post should be near the price data to show the point of origin for the momentum, but it requires enough "room" to remain distinct.
Renko Top 2 Picker### **1s Renko Momentum Scanner (HMA Zero-Lag Edition)**
This custom TradingView indicator is engineered specifically for high-frequency Renko traders. It solves the critical problem of identifying which major currency pair has the liquidity and directional inertia to sustain a fixed-brick Renko trend on a 1-second chart.
Because TradingView cannot screen 1-second data directly, this script acts as a "bridge," analyzing 1-minute and 5-minute flow metrics to probability-score the likely performance of a 1-second chart.
---
### **Core Logic & Assumptions**
1. **The "Engine" (HMA 300):**
* **Logic:** The script uses a Hull Moving Average (HMA) with a length of 300 to smooth the scoring output.
* **Why:** On a 1-second chart, 300 bars equals 5 minutes of data. The HMA provides a "Zero-Lag" response, reacting instantly to new breakouts while ignoring the split-second noise that causes standard scanners to flicker.
2. **The "Minute Reset" Solution:**
* **Problem:** Standard scripts fail on 1s charts because metrics like "Current Volume" reset to zero at the start of every new minute (e.g., at 10:05:00), causing signals to crash.
* **Solution:** This script calculates momentum using a "Rolling Window" anchored to the *previous* minute's close and volume. This ensures the signal remains stable and tradable across the :59 to :00 second boundary.
3. **Renko-Specific Scoring:**
* **Displacement > Direction:** The script prioritizes *how far* price is moving (Displacement %) over simple direction. Renko bricks require physical distance to form; without displacement, you pay spread costs for a flat chart.
* **Liquidity Gating:** It ignores pairs with low relative volume. A 1-second Renko chart requires high institutional flow to form clean bricks without gapping.
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### **Indicator Inputs**
* **Refresh Display (Seconds):**
* *Default: 5*
* Controls how often the text on your screen updates. Set this to 5 or 10 seconds to prevent the text from "dancing," allowing you to read the recommendation clearly.
* **Score Smoothing (HMA):**
* *Default: 300*
* The "Memory" of the scanner.
* **300:** Represents a 5-minute lookback. Recommended for most 1s scalping to identify established trends.
* **120:** Represents a 2-minute lookback. Use this only if you want to catch breakouts aggressively and accept more false signals.
* **Table Position:**
* *Default: Bottom Right*
* Choose where the scanner panel appears on your chart to avoid covering your Renko price action.
* **Major Pairs:**
* *Defaults: EURUSD, GBPUSD, USDJPY, USDCHF, AUDUSD, USDCAD, NZDUSD*
* These fields are pre-filled with the standard "FX:" prefix. **Crucial:** If your broker uses suffixes (e.g., "EURUSD.pro" or "EURUSDm"), you must update these inputs to match your broker's specific symbol format, or the scanner will return "N/A".
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### **How to Interpret the Output**
The panel displays a **Primary** and **Secondary** recommendation.
* **Green Background:** The pair has a "Strong" score (> 4.0). This indicates high probability conditions for 1s Renko trend following.
* **Gray Background:** The pair is the "best of the bunch," but overall market momentum is weak. Exercise caution, as the 1s chart may be choppy.
