RenkoFlow PercentualIt calculates brick size as a percentage of the chart’s initial price and updates bricks only when price moves one full brick size up or down.
Green bricks represent upward movement and red bricks represent downward movement.
This tool is designed to help visualize directional price changes independently of time and can be used as a clean trend-filtering reference on any timeframe.
אינדיקטורים ואסטרטגיות
LiquidityPulse Higher Timeframe Consecutive Candle Run LevelsLiquidityPulse Higher Timeframe Consecutive Candle Run Levels
Research suggests that financial markets can alternate between trend-persistence and mean-reversion regimes, particularly at short (intraday) or very long timeframes. Extended directional moves, whether prolonged intraday rallies or sell-offs, also carry a statistically higher chance of retracing or reversing (Safari & Schmidhuber, 2025). In addition, studies examining support and resistance behaviour show that swing highs or lows formed after strong directional moves may act as structurally and psychologically important price levels, where subsequent price interactions have an increased likelihood of stalling or bouncing rather than passing through directly (Chung & Bellotti, 2021). By highlighting higher-timeframe candle runs and marking their extremal levels, this indicator aims to display areas where directional momentum previously stopped, providing contextual "watch levels" that traders may incorporate into their broader analysis.
How this information is used in the indicator:
When a sequence of consecutive higher-timeframe candles prints in the same direction, the indicator highlights the lower-timeframe chart with a green or red background, depending on whether the higher-timeframe run was bullish or bearish. The highest high (for a bull run) or lowest low (for a bear run) of that sequence forms a recent extremum, and this value is plotted as a swing-high or swing-low level. These levels appear only after the required number of consecutive higher-timeframe candles (set by the user) have closed, and they continue updating as long as the higher-timeframe streak remains intact. A level "freezes" and stops updating only when an opposite-colour higher-timeframe candle closes (e.g., a red candle ending a bull run, or a green candle ending a bear run). Once frozen, the level remains fixed to preserve that structural information for future analysis or retests. The number of past bull/bear levels displayed on the chart is also adjustable in the settings.
Why capture a level after a long directional run:
When price moves in one direction for several consecutive candles (e.g. 4, 5, or more), it reflects strong directional bias, often associated with momentum, liquidity imbalance, or liquidity grabs. Once that sequence breaks, the final level reached marks a point of exhaustion or structural resistance/support, where that bias failed to continue. These inflection points are often used by traders and trading algorithms to assess potential reversals, retests, or breakout setups. By freezing these levels once the run ends, the indicator creates a map of historically significant price zones, allowing traders to observe how price behaves around them over time.
Additional information displayed by the indicator:
Each detected run includes a label showing the run length (the number of consecutive higher-timeframe candles in the streak) along with the source timeframe used for detection. The indicator also displays an overstretch marker: this numerical value appears when the total size of the candle bodies within the run exceeds a user-defined multiple of the average higher-timeframe body size (default: 1.5x). This helps highlight runs that were unusually strong or extended relative to typical volatility. You can also enable alerts that trigger when this overstretch ratio exceeds a higher threshold.
Key Settings
Timeframe: Choose which HTF to analyse (e.g., 15m, 1h, 4h)
Minimum Candle Run Length: Define how many consecutive candles are needed to trigger a level (e.g., 4)
Overstretch Settings: Customize detection threshold and alert trigger (in multiples of average body size)
Background Tints: Enable/disable visual highlights for bull and bear runs
Display Capacity: Choose how many past bull/bear levels to show
How Traders Can Use This Indicator
Traders can:
-Watch levels for retests, reversals, breakouts, or consolidation
-Identify areas where price showed strong directional conviction
-Spot extended or aggressive moves based on overstretch detection
-Monitor how price reacts when retesting prior run levels
-Build confluence with your existing levels, zones, or indicators
Disclaimer
This tool does not reflect true order flow, liquidity, or institutional positioning. It is a visual aid that highlights specific candle behaviour patterns and does not produce predictive signals. All analysis is subject to interpretation, and past price behaviour does not imply future outcomes.
References:
Trends and Reversion in Financial Markets on Time Scales from Minutes to Decades (Sara A. Safari & Christof Schmidhuber, 2025)
Evidence and Behaviour of Support and Resistance Levels in Financial Time Series (Chung & Bellotti, 2021)
Multi-MA + Trend StatusMulti-MA + Trend Status is a streamlined trend analysis tool designed to simplify market state identification using a robust Moving Average (MA) crossover logic. By analyzing the relationship between price and three key Moving Averages (Fast, Medium, and Slow), this indicator instantly classifies the market into one of 9 distinct trend phases, displayed as a clean, non-intrusive text overlay on your chart.
Created by ivanpsh (MIT License).
Key Features
9 Distinct Trend States: Automatically detects and displays specific market conditions:
🟢 Bullish Phases: Uptrend, Bullish Crossover, Fast Bullish Crossover, Bottom Bounce.
🔴 Bearish Phases: Downtrend, Bearish Crossover, Fast Bearish Crossover, Top Pullback, Dead Cat Bounce.
Visual Simplicity: Displays the current market status in a large, transparent text overlay (Bottom Right by default) that provides instant clarity without cluttering your analysis.
Multi-Timeframe (MTF) Support: Monitor the trend of a higher timeframe (e.g., Daily) while trading on a lower timeframe (e.g., 5-minute) without switching charts.
Fully Configurable MAs:
Types: Supports SMA, EMA, RMA (Wilder's), WMA, and VWMA.
Lengths: Fully adjustable lengths (Defaults: 20, 50, 250).
Source: Calculation source is customizable (Close, Open, High, Low, HL2, etc.).
Integrated MA Overlay: Optionally view the actual Moving Average lines on the chart.
Color Coded: Fast (Purple), Medium (Orange), and Slow (Red) for easy differentiation.
Toggle: Lines are visible by default but can be hidden instantly via settings.
How It Works
The indicator logic compares the current Price against three Moving Averages (Default: 20, 50, 250) to determine the market "Health":
Uptrend: Price > 20 > 50 > 250 (Strongest Bullish Signal)
Downtrend: Price < 20 < 50 < 250 (Strongest Bearish Signal)
Crossovers: Identifies early reversals when Fast/Medium MAs cross the Slow MA.
Bounces & Pullbacks: Identifies specific retracement patterns (e.g., "Bottom Bounce" or "Top Pullback") where price interacts with MAs in a counter-trend move.
Settings Guide
Indicator Timeframe: Select the timeframe used for calculations (Default: Chart).
MA Type: Choose the averaging method (Default: SMA).
Visuals: Customize text size, screen position, and opacity.
Show 'No Match' Text: By default, the text overlay hides if the market is choppy and fits none of the 9 specific states. You can enable this to see a "No Logic Match" status instead.
This script is open-source under the MIT license. Feel free to use, study, and modify it for your own trading systems.
Buy vs Sell Volume EMA + Smart Momentum Shift (Crypto)This is a volume-based momentum indicator for crypto that:
Splits total volume into buy vs. sell volume based on candle direction.
Applies EMAs to buy/sell volume and tracks slope and acceleration of those EMAs.
Looks for moments where buyer volume momentum is improving and seller momentum is fading.
Optionally requires RSI and/or MACD confirmation, a “near recent low” location filter, and a score threshold based on several micro-conditions.
Outputs:
Colored background depending on whether buy or sell volume dominates.
EMA crossover arrows (“Buy” and “Sell”) for simpler regime shifts.
Green dots (“Strong Buy Momentum Shift”) when all filters are satisfied.
Alert conditions for the above signals.
It runs in a separate pane (overlay=false) and is explicitly designed for crypto, but works on any symbol/interval.
MSTR mNAV indicatorTrack and compute MicroStrategy's mNAV (EV divided by BTC reserve value) over time.
- compute method: www.strategy.com
- data source: www.strategy.com
Volume profilerMulti-Range Volume Analysis & Absorption Detection
This tool visualises market activity through multi-range volume profiling and absorption signal detection. It helps you quickly identify where volume expands, compresses, or diverges from expected behaviour.
What it does
Volume Profiler plots four volume EMAs (short / mid / long / longer) so you can gauge how current volume compares to different market regimes.
It also highlights structural volume extremes:
• Low-volume bars (liquidity withdrawal)
These are potential signs of exhaustion, pauses, or low liquidity environments.
• High-volume + Low-range absorption
A classic footprint-style signal where aggressive volume fails to move price.
Often seen during:
absorption of one side of the book
liquidity collection
failed breakouts
institutional accumulation/distribution
You can choose:
which EMA defines “high volume”
how to measure candle range (High-Low, True Range, or Body)
how to define baseline volatility (ATR or average range)
Alerts are included so you can monitor absorption automatically.
Features
Multi-range volume EMAs (10 / 50 / 100 / 300 by default)
Low-volume bar flags
Absorption detection based on custom thresholds
Customisable volatility baseline
Optional bar colouring
Labels displayed directly in the volume pane
Alert conditions for absorption events
How to use
This indicator is valuable for:
confirming trend strength or weakness
detecting absorption before reversal or breakout continuation
finding low-liquidity pauses
identifying volume expansion across different time horizons
footprint-style behavioural confirmation without needing order-flow data
Works across all markets and timeframes.
Notes
This script is intended for educational and analytical use.
It does not repaint.
Heikin-Ashi Bar & Line with Colored Line & Signals//@version=6
indicator("Heikin-Ashi Bar & Line with Colored Line & Signals", overlay=true)
// Heikin-Ashi hesaplamaları
var float haOpen = na
haClose = (open + high + low + close) / 4
haOpen := na(haOpen) ? (open + close)/2 : (haOpen + haClose )/2
haHigh = math.max(high, haOpen, haClose)
haLow = math.min(low, haOpen, haClose)
// Trend hesaplamaları
haBull = haClose >= haOpen
haColor = haBull ? color.new(color.green, 0) : color.new(color.red, 0)
// HA Barları
plotcandle(haOpen, haHigh, haLow, haClose, color=haColor, wickcolor=haColor)
// HA Line (renk değişiyor)
lineColor = haBull ? color.green : color.red
plot(haClose, title="HA Close Line", color=lineColor, linewidth=2)
// Trend arka planı
bgcolor(haBull ? color.new(color.green, 85) : color.new(color.red, 85))
// Al/Sat sinyalleri (trend değişimlerinde)
longSignal = haBull and haClose > haOpen and haClose < haOpen
shortSignal = not haBull and haClose < haOpen and haClose > haOpen
plotshape(longSignal, title="Al Sinyali", style=shape.triangleup, location=location.belowbar, color=color.green, size=size.small)
plotshape(shortSignal, title="Sat Sinyali", style=shape.triangledown, location=location.abovebar, color=color.red, size=size.small)
BTC - FRIC: Friction & Realized Intensity CompositeTitle: BTC - FRIC: Friction & Realized Intensity Composite
Data: IntoTheBlock
Overview & Philosophy
FRIC (Friction & Realized Intensity Composite) is a specialized on-chain oscillator designed to visualize the "psychological battlegrounds" of the Bitcoin network.
Most indicators focus on Price or Momentum. FRIC focuses on Cost Basis. It operates on the thesis that the market experiences maximum "Friction" when the price revisits the cost basis of a large number of holders. These are the zones where investors are emotionally triggered to react—either to exit "at breakeven" after a loss (creating resistance) or to defend their entry (creating support).
This indicator answers two questions simultaneously:
Intensity: Is the market hitting a Wall (High Friction) or a Vacuum (Low Friction)?
Valuation: Is this happening at a market bottom or a top?
The "Alpha" (Wall vs. Vacuum)
Why we visualize both extremes: This indicator filters out the "Noise" (the middle range) to show you only the statistically significant anomalies.
1. The "Wall" (Positive Z-Score Bars)
What it is : A statistically high number of addresses are at breakeven.
The Implication : Expect a grind. Price action often slows down or reverses here because "Bag Holders" are selling into strength to get out flat, or new buyers are establishing a floor.
2. The "Vacuum" (Negative Z-Score Bars)
What it is : A statistically low number of addresses are at breakeven.
The Implication : Expect acceleration. The price is moving through a zone where very few people have a cost basis. With no natural "breakeven supply" to block the path, price often enters Price Discovery or Free Fall.
Methodology
The indicator constructs a composite view using two premium metrics from IntoTheBlock:
1. The "Activity" (Friction Z-Score): We utilize the Breakeven Addresses Percentage. This measures the % of all addresses where the current price equals the average cost basis.
- Normalization: We apply a rolling Z-Score (Standard Deviation) to this data.
- The Filter: We hide the "Noise" (e.g., Z-Scores between -2.0 and +2.0) to isolate only the events where market structure is truly stretched.
2. The "Context" (Valuation Heatmap): We utilize the MVRV Ratio to color-code the friction.
Deep Value (< 1.0): Price is below the average "Fair Value" of the network.
Overheated (> 3.0): Price is significantly extended above the "Fair Value."
Credit: The MVRV Ratio was originally conceptualized by Murad Mahmudov and David Puell. It remains one of the gold standards for detecting Bitcoin's fair value deviations.
How to Read the Indicator
The chart is visualized as a Noise-Filtered Heatmap.
1. The Bars (Intensity)
Bars Above Zero: High Friction (Congestion). The market is fighting through a supply wall.
Bars Below Zero: Low Friction (Vacuum). The market is accelerating through thin air.
Gray/Ghosted: Noise. Routine market activity; no significant signal.
2. The Colors (Valuation Context) The color tells you why the friction is happening:
🟦 Deep Blue (The "Capitulation Buy"):
Signal: High Friction + Low MVRV.
Meaning : Investors are panic-selling at breakeven/loss, but the asset is fundamentally undervalued. Historically, these are high-conviction cycle bottoms.
🟥 Dark Red (The "FOMO Sell"):
Signal: High Friction + High MVRV.
Meaning : Investors are churning at high valuations. Smart money is often distributing to late retail arrivers. Historically marks cycle tops.
🟨 Yellow/Orange (The "Trend Battle"):
Signal: High Friction + Neutral MVRV.
Meaning : The market is contesting a level within a trend (e.g., a mid-cycle correction).
Visual Guide & Features
10-Zone Heatmap: A granular color gradient that shifts from Dark Blue (Deep Value) → Sky Blue → Grey (Neutral) → Orange → Dark Red (Top).
Noise Filter
A unique feature that "ghosts out" insignificant data, leaving only the statistically relevant signals visible.
Data Check Monitor
A diagnostic table in the bottom-right corner that confirms the live connection to IntoTheBlock data streams and displays the current regime in real-time.
Settings
Lookback Period (Default: 90): The rolling window used for the Z-Score calculation. Shortening this (e.g., to 30) makes the indicator more sensitive to local volatility; lengthening it (e.g., to 365) aligns it with macro cycles.
Noise Threshold (Default: 2.0): The strictness of the filter. Only friction events exceeding this Z-Score will be highlighted in full color.
Show Status Table : Toggles the on-screen dashboard.
Disclaimer
This script is for research and educational purposes only. It relies on third-party on-chain data which may be subject to latency or revision. Past performance of on-chain metrics does not guarantee future price action.
Tags
bitcoin, btc, on-chain, mvrv, intotheblock, friction, z-score, fundamental, valuation, cycle
Combined: Net Volume, RSI & ATR# Combined: Net Volume, RSI & ATR Indicator
## Overview
This custom TradingView indicator overlays **Net Volume** and **RSI (Relative Strength Index)** on the same chart panel, with RSI scaled to match the visual range of volume spikes. It also displays **ATR (Average True Range)** values in a table.
## Key Features
### Net Volume
- Calculates buying vs selling pressure by analyzing lower timeframe data
- Displays as a **yellow line** centered around zero
- Automatically selects optimal timeframe or allows manual override
- Shows net buying pressure (positive values) and selling pressure (negative values)
### RSI (Relative Strength Index)
- Traditional 14-period RSI displayed as a **blue line**
- **Overlays directly on the volume chart** - scaled to match volume spike heights
- Includes **70/30 overbought/oversold levels** (shown as dotted red/green lines)
- Adjustable scale factor to fine-tune visual sizing relative to volume
- Optional **smoothing** with multiple moving average types (SMA, EMA, RMA, WMA, VWMA)
- Optional **Bollinger Bands** around RSI smoothing line
- **Divergence detection** - identifies regular bullish/bearish divergences with labels
### ATR (Average True Range)
- Displays current ATR value in a **table at top-right corner**
- Configurable period length (default: 50)
- Multiple smoothing methods: RMA, SMA, EMA, or WMA
- Helps assess current market volatility
## Use Cases
- **Momentum & Volume Confirmation**: See if RSI trends align with net volume flows
- **Divergence Trading**: Automatically spots when price makes new highs/lows but RSI doesn't
- **Volatility Assessment**: Monitor ATR for position sizing and stop-loss placement
- **Overbought/Oversold + Volume**: Identify exhaustion when RSI hits extremes with volume spikes
## Customization
All components can be toggled on/off independently. RSI scale factor allows you to adjust how prominent the RSI line appears relative to volume bars.
VWAP + EMA9 With SignalsThis script is for scalping on the 5 minute timeframe. It contains signals that indicate intersection of VWAP by the EMA9. It contains Buy signals when a candle closes above both lines indicating a quick continuation of a long position (quick scalp) as well as Sell signals when a candle closes below both lines indicating a quick continuation of a short position (quick scalp). Please note that i do not recommend entries at Buy and Sell signals during Accumulation/Consolidation. Positions should be taken with volume.
Macro-Sentiment (Macro_Serie 1:7)Part of a 7-indicator macro series. Combines yield curve dynamics, VIX structure, employment data (jobless claims, NFP), ISM manufacturing, US-Japan carry trade flows, and consumer sentiment into a single adaptive stress score. Color-coded regimes guide strategy from "Aggressive" to "Buy the Crash."
Macro Timing Window Signal ⏱️ Macro Timing Window Signal – Check/X Indicator
This indicator displays a green check mark ✔️ or red X ✖️ in the top-right corner of the chart based on a repeating macro time cycle that divides every hour into active and inactive windows.
How it works:
• ✔️ Green Check (Active Macro Window):
Appears from xx:45 → xx:15 of the next hour (30-minute macro window).
• ✖️ Red X (Inactive Macro Window):
Appears from xx:16 → xx:44 (mid-hour cooldown window).
• Optional flash signal at the exact macro flip points (xx:45, xx:00, xx:15) to highlight transitions.
• Supports sound alerts so you never miss the start or end of a macro window.
This tool is designed for traders who incorporate macro-driven time cycles, liquidity sessions, or algorithmic delivery windows into their strategy.
The display is fixed on-screen, clean, and unobtrusive, ensuring instant recognition of the current macro state without cluttering the chart.
IQR Bands – Clean (Wang Shi Jie)Robust IQR Bands identifies price extremes using statistical quartiles. Unlike Bollinger Bands, it resists noise by focusing on the median Q1-Q3 range and 1.5x IQR outlier levels. Features adaptive source inputs (Close/Open) for precise real-time analysis. Ideal for spotting mean reversion setups.
Gyspy Bot Trade Engine - V1.2B - Strategy 12-7-25 - SignalLynxGypsy Bot Trade Engine (MK6 V1.2B) - Ultimate Strategy & Backtest
Brought to you by Signal Lynx | Automation for the Night-Shift Nation 🌙
1. Executive Summary & Architecture
Gypsy Bot (MK6 V1.2B) is not merely a strategy; it is a massive, modular Trade Engine built specifically for the TradingView Pine Script environment. While most strategies rely on a single dominant indicator (like an RSI cross or a MACD flip) to generate signals, Gypsy Bot functions as a sophisticated Consensus Algorithm.
The engine calculates data from up to 12 distinct Technical Analysis Modules simultaneously on every bar closing. It aggregates these signals into a "Vote Count" and only executes a trade entry when a user-defined threshold of concurring signals is met. This "Voting System" acts as a noise filter, requiring multiple independent mathematical models—ranging from volume flow and momentum to cyclical harmonics and trend strength—to agree on market direction before capital is committed.
Beyond entries, Gypsy Bot features a proprietary Risk Management suite called the Dump Protection Team (DPT). This logic layer operates independently of the entry modules, specifically scanning for "Moon" (Parabolic) or "Nuke" (Crash) volatility events to force-exit positions, overriding standard stops to preserve capital during Black Swan events.
2. ⚠️ The Philosophy of "Curve Fitting" (Must Read)
One must be careful when applying Gypsy Bot to new pairs or charts.
To be fully transparent: Gypsy Bot is, by definition, a very advanced curve-fitting engine. Because it grants the user granular control over 12 modules, dozens of thresholds, and specific voting requirements, it is extremely easy to "over-fit" the data. You can easily toggle switches until the backtest shows a 100% win rate, only to have the strategy fail immediately in live markets because it was tuned to historical noise rather than market structure.
To use this engine successfully, you must adopt a specific optimization mindset:
Ignore Raw Net Profit: Do not tune for the highest dollar amount. A strategy that makes $1M in the backtest but has a 40% drawdown is useless.
Prioritize Stability: Look for a high Profit Factor (1.5+), a high Percent Profitable, and a smooth equity curve.
Regular Maintenance is Mandatory: Markets shift regimes (e.g., from Bull Trend to Crab Range). Parameters that worked perfectly in 2021 may fail in 2024. Gypsy Bot settings should be reviewed and adjusted at regular intervals (e.g., quarterly) to ensure the voting logic remains aligned with current market volatility.
Timeframe Recommendations:
Gypsy Bot is optimized for High Time Frame (HTF) trend following. It generally produces the most reliable results on charts ranging from 1-Hour to 12-Hours, with the 4-Hour timeframe historically serving as the "sweet spot" for most major cryptocurrency assets.
3. The Voting Mechanism: How Entries Are Generated
The heart of the Gypsy Bot engine is the ActivateOrders input (found in the "Order Signal Modifier" settings).
The engine constantly monitors the output of all enabled Modules.
Long Votes: GoLongCount
Short Votes: GoShortCount
If you have 10 Modules enabled, and you set ActivateOrders to 7:
The engine will ONLY trigger a Buy Entry if 7 or more modules return a valid "Buy" signal on the same closed candle.
If only 6 modules agree, the trade is rejected.
This allows you to mix "Leading" indicators (Oscillators) with "Lagging" indicators (Moving Averages) to create a high-probability entry signal that requires momentum, volume, and trend to all be in alignment.
4. Technical Deep Dive: The 12 Modules
Gypsy Bot allows you to toggle the following modules On/Off individually to suit the asset you are trading.
Module 1: Modified Slope Angle (MSA)
Logic: Calculates the geometric angle of a moving average relative to the timeline.
Function: It filters out "lazy" trends. A trend is only considered valid if the slope exceeds a specific steepness threshold. This helps avoid entering trades during weak drifts that often precede a reversal.
Module 2: Correlation Trend Indicator (CTI)
Logic: Based on John Ehlers' work, this measures how closely the current price action correlates to a straight line (a perfect trend).
Function: It outputs a confidence score (-1 to 1). Gypsy Bot uses this to ensure that we are not just moving up, but moving up with high statistical correlation, reducing fake-outs.
Module 3: Ehlers Roofing Filter
Logic: A sophisticated spectral filter that combines a High-Pass filter (to remove long-term drift) with a Super Smoother (to remove high-frequency noise).
Function: It attempts to isolate the "Roof" of the price action. It is excellent at catching cyclical turning points before standard moving averages react.
Module 4: Forecast Oscillator
Logic: Uses Linear Regression forecasting to predict where price "should" be relative to where it is.
Function: When the Forecast Oscillator crosses its zero line, it indicates that the regression trend has flipped. We offer both "Aggressive" and "Conservative" calculation modes for this module.
Module 5: Chandelier ATR Stop
Logic: A volatility-based trend follower that hangs a "leash" (ATR multiple) from the highest high (for longs) or lowest low (for shorts).
Function: Used here as an entry filter. If price is above the Chandelier line, the trend is Bullish. It also includes a "Bull/Bear Qualifier" check to ensure structural support.
Module 6: Crypto Market Breadth (CMB)
Logic: This is a macro-filter. It pulls data from multiple major tickers (BTC, ETH, and Perpetual Contracts) across different exchanges.
Function: It calculates a "Market Health" percentage. If Bitcoin is rising but the rest of the market is dumping, this module can veto a trade, ensuring you don't buy into a "fake" rally driven by a single asset.
Module 7: Directional Index Convergence (DIC)
Logic: Analyzes the convergence/divergence between Fast and Slow Directional Movement indices.
Function: Identifies when trend strength is expanding. A buy signal is generated only when the positive directional movement overpowers the negative movement with expanding momentum.
Module 8: Market Thrust Indicator (MTI)
Logic: A volume-weighted breadth indicator. It uses Advance/Decline data and Up/Down Volume data.
Function: This is one of the most powerful modules. It confirms that price movement is supported by actual volume flow. We recommend using the "SSMA" (Super Smoother) MA Type for the cleanest signals on the 4H chart.
Module 9: Simple Ichimoku Cloud
Logic: Traditional Japanese trend analysis using the Tenkan-sen and Kijun-sen.
Function: Checks for a "Kumo Breakout." Price must be fully above the Cloud (for longs) or below it (for shorts). This is a classic "trend confirmation" module.
Module 10: Simple Harmonic Oscillator
Logic: Analyzes the harmonic wave properties of price action to detect cyclical tops and bottoms.
Function: Serves as a counter-trend or early-reversal detector. It tries to identify when a cycle has bottomed out (for buys) or topped out (for sells) before the main trend indicators catch up.
Module 11: HSRS Compression / Super AO
Logic: Two options in one.
HSRS: Hirashima Sugita Resistance Support. Detects volatility compression (squeezes) relative to dynamic support/resistance bands.
Super AO: A combination of the Awesome Oscillator and SuperTrend logic.
Function: Great for catching explosive moves that result from periods of low volatility (consolidation).
Module 12: Fisher Transform (MTF)
Logic: Converts price data into a Gaussian normal distribution.
Function: Identifies extreme price deviations. This module uses Multi-Timeframe (MTF) logic to look at higher-timeframe trends (e.g., looking at the Daily Fisher while trading the 4H chart) to ensure you aren't trading against the major trend.
5. Global Inhibitors (The Veto Power)
Even if 12 out of 12 modules vote "Buy," Gypsy Bot performs a final safety check using Global Inhibitors. If any of these are triggered, the trade is blocked.
Bitcoin Halving Logic:
Hardcoded dates for past and projected future Bitcoin halvings (up to 2040).
Trading is inhibited or restricted during the chaotic weeks immediately surrounding a Halving event to avoid volatility crushes.
Miner Capitulation:
Uses Hash Rate Ribbons (Moving averages of Hash Rate).
If miners are capitulating (Shutting down rigs due to unprofitability), the engine flags a "Bearish" regime and can flip logic to Short-only or flat.
ADX Filter (Flat Market Protocol):
If the Average Directional Index (ADX) is below a specific threshold (e.g., 20), the market is deemed "Flat/Choppy." The bot will refuse to open trend-following trades in a flat market.
CryptoCap Trend:
Checks the total Crypto Market Cap chart. If the broad market is in a downtrend, it can inhibit Long entries on individual altcoins.
6. Risk Management & The Dump Protection Team (DPT)
Gypsy Bot separates "Entry Logic" from "Risk Management Logic."
Dump Protection Team (DPT)
This is a specialized logic branch designed to save the account during Black Swan events.
Nuke Protection: If the DPT detects a volatility signature consistent with a flash crash, it overrides all other logic and forces an immediate exit.
Moon Protection: If a parabolic pump is detected that violates statistical probability (Bollinger deviations), DPT can force a profit take before the inevitable correction.
Advanced Adaptive Trailing Stop (AATS)
Unlike a static trailing stop (e.g., "trail by 5%"), AATS is dynamic.
Penthouse Level: If price is at the top of the HSRS channel (High Volatility), the stop loosens to allow for wicks.
Dungeon Level: If price is compressed at the bottom, the stop tightens to protect capital.
Staged Take Profits
TP1: Scalp a portion (e.g., 10%) to cover fees and secure a win.
TP2: Take the bulk of profit.
TP3: Leave a "Runner" position with a loose trailing stop to catch "Moon" moves.
7. Recommended Setup Guide
When applying Gypsy Bot to a new chart, follow this sequence:
Set Timeframe: 4 Hours (4H).
Reset: Turn OFF Trailing Stop, Stop Loss, and Take Profits. (We want to see raw entry performance first).
Tune DPT: Adjust "Dump/Moon Protection" inputs first. These have the highest impact on net performance.
Tune Module 8 (MTI): This module is a heavy filter. Experiment with the MA Type (SSMA is recommended).
Select Modules: Enable/Disable modules 1-12 based on the asset's personality (Trending vs. Ranging).
Voting Threshold: Adjust ActivateOrders. A lower number = More Trades (Aggressive). A higher number = Fewer, higher conviction trades (Conservative).
Final Polish: Re-enable Stop Losses, Trailing Stops, and Staged Take Profits to smooth the equity curve and define your max risk per trade.
8. Technical Specs
Engine Version: Pine Script V6
Repainting: This strategy uses Closed Candle data for all Risk Management and Entry decisions. This ensures that Backtest results align closely with real-time behavior (no repainting of historical signals).
Alerts: This script generates Strategy alerts. If you require visual-only alerts, see the source code header for instructions on switching to "Study" (Indicator) mode.
Disclaimer:
This script is a complex algorithmic tool for market analysis. Past performance is not indicative of future results. Use this tool to assist your own decision-making, not to replace it.
9. About Signal Lynx
Automation for the Night-Shift Nation 🌙
Signal Lynx focuses on helping traders and developers bridge the gap between indicator logic and real-world automation. The same RM engine you see here powers multiple internal systems and templates, including other public scripts like the Super-AO Strategy with Advanced Risk Management.
We provide this code open source under the Mozilla Public License 2.0 (MPL-2.0) to:
Demonstrate how Adaptive Logic and structured Risk Management can outperform static, one-layer indicators
Give Pine Script users a battle-tested RM backbone they can reuse, remix, and extend
If you are looking to automate your TradingView strategies, route signals to exchanges, or simply want safer, smarter strategy structures, please keep Signal Lynx in your search.
License: Mozilla Public License 2.0 (Open Source).
If you make beneficial modifications, please consider releasing them back to the community so everyone can benefit.
Anchored VWAP with Bandsthis lets you instantly see whether price is trading at fair value, stretched, or unusually extended relative to all the volume traded since your chosen event
SuperWaveTrendWaveTrend with Crosses + HyperWave + Confluence Zones + Thresholds
SuperWaveTrend — Advanced Momentum System Integrating WaveTrend, HyperWave, Confluence Zones & Threshold Filters
SuperWaveTrend is an enhanced momentum indicator built upon the classic WaveTrend (WT) framework.
It integrates HyperWave extreme zones, top/bottom Confluence Zones, trend hesitation Threshold regions, WT crossover reversal signals, and more.
This indicator is suitable for:
• Trend following
• Swing trading
• Reversal spotting
• Overbought/oversold structure analysis
• Extreme market sentiment detection
Whether you’re scalping or planning swing entries, SuperWaveTrend offers a more precise and visually intuitive momentum structure.
Key Features
1. WaveTrend Core Structure (WT1 / WT2)
• WT1: Primary momentum line
• WT2: Signal line
• Momentum Spread Area (WT1 − WT2) visualization highlights shifts in trend strength
2. HyperWave Extreme Momentum Zones
Background highlight automatically appears during extreme momentum conditions:
• Purple-red: Extreme bullish zone
• Orange: Extreme bearish zone
Helps identify:
• Blow-off tops
• Panic sell-offs
• Extreme trend continuation phases
3. Confluence Zones (Top/Bottom Resonance)
Combines overbought/oversold signals with momentum structure to mark:
• Gold top zones → weakening bullish momentum
• Blue bottom zones → weakening bearish momentum
Useful for detecting:
• Bearish divergence tops
• Reversal bounces
• High-level exhaustion / low-level capitulation
4. Threshold Hesitation Zone (Gray)
When WT1 and WT2 converge tightly, a gray background highlights:
• Unclear direction
• Trend weakening
• Higher risk of false signals
Generally not recommended for new entries.
5. WT Crossover Signals (Cross Signals)
WT1 and WT2 crossovers are marked with color-coded dots:
• Green: Bullish cross
• Red: Bearish cross
A core signal for capturing reversal shifts.
⚠️ Creator’s Disclaimer & Usage Insights
***WARNING***
SuperWaveTrend is not designed for extremely strong one-sided trends.
During highly impulsive markets, signals may become delayed or less reliable.
Optimal Timeframes
Based on extensive backtesting, In swing-trading environments, the indicator performs most effectively on the 1H–4H timeframes, where momentum cycles form cleanly and Confluence Zones provide high-probability setups.
Trading Insights
• In swing-trading environments, Confluence Zones often coincide with excellent long/short opportunities, especially when momentum exhaustion is confirmed.
• When paired with a Bollinger Bands framework, the system exhibits significantly improved accuracy and structure clarity.
Have fun,
BigTrunks
ssdv%v2ssdv%v2 is a probabilistic trading indicator that learns from historical price behavior to predict where price is likely to move during today's trading session. Instead of using fixed values, it adapts based on what actually happened in past sessions.
4 EMA Cross Indicator - @orelkakoonA clean, simple EMA crossover indicator built for clarity and momentum.
This indicator uses 4 EMAs (8, 21, 50, 63) to help visualize short-term momentum within the broader trend.
It highlights bullish crossovers when EMA 8 crosses above EMA 21, and bearish crossovers when EMA 8 crosses below EMA 21, making trend shifts easy to spot at a glance.
Designed for traders who want clear signals, less noise, and better timing within an existing trend.
MTF Bias Alert SystemMulti-Time-Frame Bias Alert System
include HTF BIAS and any Time Frame Confluence
Student Alpha VWAPStudent Alpha VWAP is a flexible, anchor-based VWAP tool designed for traders who want deeper control over intraday and higher-timeframe volume-weighted trend analysis.
The indicator supports multiple anchor types—including Sessions, Weeks, Months, Quarters, Years, and event-based anchors such as Earnings, Dividends, and Splits—allowing VWAP to automatically reset at meaningful market intervals.
The script includes up to three optional VWAP bands. These can be calculated using standard deviation or percentage-based distance, making the tool adaptable for volatility modeling, mean-reversion strategies, or structural trend assessment.
Bands and colors are fully customizable, while an optional filter hides VWAP on 1D+ charts for cleaner high-timeframe layouts.
Features include:
• Event-aware VWAP anchoring (Earnings / Dividends / Splits)
• Standard deviation or percentage-based VWAP bands
• Three independent band multipliers with visual fills
• Automatic timeframe and period detection
• Offset controls and full plot toggle options
This tool aims to give traders a more adaptable, context-aware version of VWAP that fits both systematic and discretionary workflows.
Kaspa Power Law (R=94%)Kaspa Power Law indicatior with 94% regression fit.
i have found that it may be more useful on the kas/btc chart.






















