ATR Volatility Impulse Candles (Bull & Bear)This indicator highlights unusually strong momentum candles using ATR as a volatility filter. Treyding Stocks was the inspiration behind this powerful swing indicator!
A candle is marked only when its body is larger than the Average True Range, meaning price moved farther than normal for that timeframe. This filters out noise and focuses attention on candles that often matter most.
Lime green candles represent strong bullish impulse. They occur when price closes above the open and the candle body is larger than ATR. These candles often show aggressive buying, late-stage momentum, or exhaustion before a reversal.
Blue candles represent strong bearish impulse. They occur when price closes below the open and the candle body is larger than ATR. These candles often signal aggressive selling, liquidation, stop runs, or breakdown confirmation.
The indicator includes alerts for both bullish and bearish impulse candles, allowing traders to monitor multiple charts without watching them constantly.
Traders commonly use this tool to identify momentum exhaustion, reversal zones, and high-impact candles near VWAP, key moving averages, or important price levels. It works on any timeframe, does not repaint, and is designed to keep the chart clean while highlighting only the most meaningful price moves.
The Red (Blue) candle is very useful for swings especially on the Daily chart
*When the Blue (RED) candle appears, mark the high/low, and enter when the next candle breaks /closes above it.
波动率
MEGA Sector Rotation CRYPTOCAP - 7 Narrativas 5m### MEGA Sector Rotation CRYPTOCAP - 7 Narratives
**Description for publishing on TradingView:**
This advanced indicator lets you visualize in real time the **rotation of narratives** within the crypto market through 7 key sectors, normalized for perfect side-by-side comparison.
Each line represents the **historical relative strength** (min-max normalization over 5000 bars) of a specific narrative, based on TradingView's official aggregated market caps (CRYPTOCAP) and custom sums. The lines oscillate between 0 and 100, with clear crossovers signaling when a sector is gaining or losing momentum relative to the others.
**The 7 narratives included:**
1. **Layer1** (pink) – Aggregated market cap of major Layer 1 blockchains.
2. **Memecoins** (bright green) – Official MEME.C sector (PEPE, SHIB, WIF, BONK, etc.).
3. **AI** (orange) – Artificial Intelligence and Big Data narrative.
4. **Exchanges** (purple) – Exchange tokens (centralized and decentralized).
5. **DeFi Total** (cyan) – Full aggregated market cap of the DeFi ecosystem.
6. **RWA Custom** (brown) – Custom sum of Real World Assets: ONDO + LINK + CFG + SYRUP.
7. **Privacy** (dark orange) – Custom sum of privacy coins: XMR + ZEC + DASH.
**Quick interpretation:**
- Line >80 and rising → Narrative is **HOT** (strong bullish rotation).
- Line <20 → Narrative is **COLD** (losing strength).
- Bullish crossovers → Money rotating into that sector.
- Transparent fills between lines to highlight leadership zones.
**Features:**
- Optimized for **lower timeframes** (5m, 15m, 1H, 4H) → ideal for day trading and scalping narratives.
- Works on any TF thanks to 5-minute resolution data.
- Thick lines, vibrant colors, and horizontal references (20/50/80) for instant reading.
Perfect for spotting early which narrative is attracting capital flows and anticipating sector moves in the crypto market.
Add this indicator and trade rotations like a pro!
#crypto #sectorrotation #narratives #altcoins #tradingview
MACD Standard DeviationThe MACD Standard Deviation is a new trend following tool, designed to be smoother & more accurate
Benefits
- High BINANCE:BNBUSDT performance
- Fast entries with less noise
- Simple calculation
The Idea
The idea is simple - get a MACD that is less noisy. This would increase the accuracy and make it a more reliable tool.
How is works
It works by calculating the MACD and calculating the Standard Deviation of the MACD and add it as "bands". This adjusts the MACD to be more accurate and to be able to reduce false signals.
Enjoy Gs!
Dip Buy/Sell Signals (Vix Fix + MA Deviation + TRMAD) [DotGain]Dip Buy/Sell Signals (Vix Fix + MA Deviation + TRMAD)
This indicator combines three proven market stress and mean-reversion components to identify potential buy and sell opportunities during extended market conditions.
────────────────────
📌 Included Components
1️⃣ Volatility-Based Stress Filter (Vix Fix)
Detects short-term market panic using relative price movement.
Signals are generated only during periods of elevated volatility or market stress.
2️⃣ Moving Average Deviation (MA Deviation)
Identifies overbought and oversold conditions based on the percentage deviation from a selected moving average.
Supported MA types:
• EMA
• SMA
• RMA
• VWMA
• WMA
• TEMA
3️⃣ TRMAD (True Range Mean Absolute Deviation)
Measures the distance of price from its mean relative to current volatility.
Useful for filtering extreme price moves and reducing false signals.
────────────────────
📈 Trading Signals
Buy Signal:
• Elevated market volatility
• Price significantly below the moving average
• TRMAD below the defined threshold
Sell Signal:
• Elevated market volatility
• Price significantly above the moving average
• TRMAD above the defined threshold
Signals are visualized directly on the chart:
• Buy: green label below the candle
• Sell: red label above the candle
────────────────────
⚙️ Settings & Customization
All components are fully adjustable:
• Lookback periods
• Moving average types and lengths
• Volatility and threshold levels
This makes the indicator suitable for:
• Intraday trading
• Swing trading
• Crypto, Forex, indices, and equities
────────────────────
Disclaimer
This "Dip Buy/Sell Signals (Vix Fix + MA Deviation + TRMAD)" (DipSig) indicator is provided for informational and educational purposes only. It does not, and should not be construed as, financial, investment, or trading advice.
The signals generated by this tool (both "Buy" and "Sell") are the result of a specific set of algorithmic conditions. They are not a direct recommendation to buy or sell any asset. All trading and investing in financial markets involves substantial risk of loss. You can lose all of your invested capital.
Past performance is not indicative of future results. The signals generated may produce false or losing trades. The creator (© DotGain) assumes no liability for any financial losses or damages you may incur as a result of using this indicator.
You are solely responsible for your own trading and investment decisions. Always conduct your own research (DYOR) and consider your personal risk tolerance before making any trades.
Moving Average Divergence BandsThe Moving Average Divergence Bands are a new trend following tool designed for catching ALT coin trends quickly, while filtering away false signals.
The Benefits
- Very fast altcoin entries
- Highly consistent past returns (mainly CRYPTO:SOLUSD ), with both long & shorts profitable
- Lack of false signals due to Z-Score based filtering
- High tier of parameter robustness
The Idea
The idea is simple:
Get high speed & low noise bands that adapt to market conditions, allowing entries only during environments that have a potential reward and less risk. This unique filtering provides users with fast entries and low amount of false signals.
How it works
The indicator gets 2 Moving Averages, one normal, one with half the lookback.
It then combines them using powers and dividing and returns the higher result for the upper band, and the lower for the lower band.
Then it calculates the Z-Score of the source and if both the absolute Z-Score & Long/Short condition are true then it switches the trend.
Enjoy Gs!
RSI & BB Oversold Scalper with MACD Confirmation [DotGain]RSI & BB Oversold Scalper with MACD Confirmation
The RSI & BB Oversold Scalper is a mean reversion / dip-buying indicator designed for traders who want to combine oversold conditions with momentum confirmation .
It uses a multi-step logic: first detect an oversold setup, then wait for a MACD confirmation within a defined time window before issuing a buy signal.
---
Core Concept
1. Detect an oversold setup using Bollinger Bands %b, RSI and an optional DSS filter
2. Keep the setup active for a limited number of candles
3. Trigger the entry using a MACD bullish crossover
4. Reset after entry to avoid multiple signals from the same setup
---
Buy Signal Logic
A buy signal is generated when the following conditions are met:
1. Oversold Setup (filters can be enabled/disabled individually)
• Bollinger Bands %b Oversold (Lookback-based)
The price has traded below the lower Bollinger Band at least once within the last `lookbackBB` candles.
• RSI Oversold (Lookback-based)
The RSI has dropped below 30 at least once within the last `lookbackRSI` candles.
• DSS (Double Smoothed Stochastic) Reversal Filter
A bullish crossover of the DSS line above its signal line while the DSS value is below 20 , indicating a potential momentum reversal from oversold conditions.
Note:
BB %b and RSI are lookback filters , while the DSS condition is a single-bar crossover event .
---
2. MACD Confirmation (Entry Timing)
After the setup becomes active, the indicator waits for a bullish MACD crossover (`MACD line crosses above Signal line`) within a user-defined time window (`validWindow` candles).
If the MACD confirmation occurs within this window, a buy signal is printed.
If the window expires without confirmation, the setup is discarded automatically.
---
Reset Logic
• After a buy signal, the setup is reset immediately
• Only one signal is allowed per setup
• No late entries after the time window expires
---
Inputs & Customization
• Enable or disable BB, RSI and DSS filters individually
• Adjust lookback periods to control how recent oversold conditions must be
• Tune the MACD confirmation window to balance early vs. conservative entries
Smaller windows = faster, more aggressive entries
Larger windows = fewer but more confirmed signals
Recommended Markets & Timeframes
• Cryptocurrencies, Forex, Indices, liquid stocks
• Best suited for 1m – 15m scalping
• Also usable on 15m – 1h for slower mean-reversion trades
Visuals
• Buy signals are displayed as labels below the price candles
Important Notes
• This indicator is a signal and timing tool , not a complete trading system
• Always combine with higher-timeframe trend, support/resistance or volume analysis
• Backtesting and paper trading are strongly recommended
Disclaimer:
This "RSI & BB Oversold Scalper with MACD Confirmation" (Oversold Scalper) indicator is provided for informational and educational purposes only. It does not, and should not be construed as, financial, investment, or trading advice.
The signal generated by this tool (Green) is the result of a specific set of algorithmic conditions. They are not a direct recommendation to buy or sell any asset. The indicator's purpose is to highlight possible weakness in the markets, not to provide infallible trade signals.
All trading and investing in financial markets involves a substantial risk of loss. You can lose all of your invested capital.
Past performance is not indicative of future results. Even an indicator designed to filter out "chop" may produce false, lagging, or losing signals. Markets can remain unpredictable longer than you can remain solvent.
The creator DotGain assumes no liability for any financial losses or damages you may incur, directly or indirectly, as a result of using this indicator or the information it provides.
You are solely responsible for your own trading and investment decisions. Always conduct your own research (DYOR), validate signals with other methods, and consider your personal risk tolerance before entering any trade.
Adaptive Kinetic Trend [AKT] Pure MathTitolo: Adaptive Kinetic Trend - Pure Math
Descrizione:
Overview The Adaptive Kinetic Trend is a custom-built trend following system designed to filter noise and adapt to changing market volatility. Unlike standard indicators that rely on a static calculation, the AKT introduces a "Kinetic" component that adjusts the trend baseline according to price velocity (Momentum) and market intensity (ADX).
The "Pure Math" Implementation To ensure maximum stability and prevent potential discrepancies associated with data gaps or library updates, this script features a 100% manual mathematical library. It does not use TradingView's native ta.* functions for its core logic. Every calculation—including Wilder's Smoothing (RMA), Weighted Moving Averages (WMA), and True Range (TR)—is computed explicitly within the code from raw price data. This provides a transparent look at how the signals are derived.
Key Features
1. Kinetic Center Line The backbone of the indicator is an adaptive moving average that shifts its sensitivity based on a manually calculated RSI (Velocity).
High Velocity: The line reacts faster to capture breakout momentum.
Low Velocity: The line smooths out to prevent whipsaws during corrections.
2. Dynamic Volatility Expansion Using a custom ADX calculation (Intensity), the bands automatically expand during high-volatility events. This helps keep positions open during strong trends where standard ATR stops might be triggered prematurely.
3. Visual Filters (Color Logic) The script uses a strict color-coding system to guide analysis:
🟢 Green / 🔴 Red (Trend): The market is in a validated trend phase with sufficient intensity.
⚪ Gray (Choppy Filter): When Intensity falls below the threshold (default 20), the bars turn gray and signals are suppressed. This filters out low-probability ranging markets.
🟡 Yellow (Proximity Zone): When price trades within 0.5 ATR of the trend line, bars turn yellow. This indicates price is testing the trend structure.
4. Smart Pullback Signals (PB) Small triangles labeled "PB" appear when the price retraces to test the trend line.
Visual Intensity: The signals feature adaptive transparency. They appear bright during strong trends (High Probability) and faded/transparent during choppy conditions (Lower Probability), helping users filter signal quality visually.
5. Live Dashboard A data panel provides real-time metrics:
Trend Status: BULL, BEAR, or RANGE.
Intensity: Raw ADX value to gauge trend strength.
Dist ATR: The precise distance from the close price to the stop-loss line, measured in ATR multiples.
How to Use
Trend Analysis: Identify the main direction via Green/Red candles.
Filtering: Use the Gray bars to identify periods of low volatility/consolidation where trend strategies typically fail.
Re-entries: Use PB triangles to identify potential continuation points within an existing trend.
Risk Monitoring: Use Yellow bars (Proximity) to monitor price action near the invalidation level.
Disclaimer This script is intended for technical analysis and educational purposes only. It provides a visual representation of market trends based on historical data and does not guarantee future performance.
GK V2 Zero-Lag trend Ribbon GK Zero-Lag Trend Ribbon V2 is the same as version 1 but with a trend ribbon to help identify the trend. Designed to help keep traders aligned with clean market direction, it uses a Zero-Lag EMA based trend ribbon with adaptive volatility bands to clearly identify bullish and bearish trends wile filtering out noise with signal prints. The ribbon dynamically changes colour to show trend bias, and GK BUY / GK SELL only print on confirmed trend flip- one clean signal per trend no clutter
Dual VWAP + Dual ATR % BandsScript is adjusted for 5min time frame, can play around setting to adjust accordingly.
It has
Vwap regular
Vwap with adjustable time period
Bands based on ATR value, ie (if ATR is 10, one can adjust band to VWap+ATR %( adjustable)
ATR% can be adjusted to include daily ATR values in addition to current day ATR based on chart time frame.
The bands can be tied to regular VWAP or period VWAP
Regards
RSI adaptive zones with divergencesThis script is modified version of Adaptive RSI,
Thanks to creator of the script, modification is made by cloude code.
TA Confluence Scanner v2.9 | Mint_Algo📘 TA Confluence Scanner
Introduction
The TA Confluence Scanner is a multi-factor trend system designed to filter market noise and identify high-probability trade setups. By combining adaptive algorithms (KAMA) with Price Action methodologies (SMC, Breakouts, Fractals), this indicator operates on the principle of Confluence : a signal is only valid when multiple independent tools agree on the direction.
Instead of relying on a single lagging indicator (like just MA fast and slow crossover), this script acts as a "Scanner," evaluating the market state through Volatility, Trend Structure, and Equilibrium.
───────────────────────────────────────────────────
Important Note
To make this "Plug & Play," I have included optimized presets in the settings for different timeframes (1m/15m-1h/4h-1D) and trading styles (Scalper, Intraday, Swing, Investor) tested on symbols:
FX:EURUSD
IG:NASDAQ
BITSTAMP:BTCUSD
BINANCE:ETHUSD
CAPITALCOM:US500
OANDA:XAUUSD
NASDAQ:AAPL
NASDAQ:TSLA
BUT default settings already include a good preset which excludes most of the noise and grabs the trend better (fewer entries, but quality is higher).
Check the presets at the bottom 👇
───────────────────────────────────────────────────
Core Features
Adaptive Trend Filter (KAMA): Adjusts to market volatility to distinguish between chop and true trends.
SMC Equilibrium (EQ) Fans: A three-tiered dynamic structure (Fast, Medium, Slow) for trailing stops and targets.
Confluence Counter: Visually displays the strength of a signal (e.g., "Strong 4/6") based on how many factors align.
Re-Entry Logic: Identifies low-risk entry points within an existing trend.
Automated S/R & Breakouts: Detects key pivot levels and structural breaks.
───────────────────────────────────────────────────
Settings & Components Breakdown
1. KAMA (Primary Trend Filter)
The backbone of the system. It calculates the Efficiency Ratio (ER) of price movement.
How it works: If the ER is high (strong trend), KAMA follows price closely. If ER is low (ranging), KAMA flattens out to prevent false signals.
Tuning:
Fast (ER ~100/5/60): For Scalping.
Smooth: Default settings are optimized for a balance between lag and noise reduction.
2. SMC Equilibrium (EQ Structure)
Based on the HL2 formula (High+Low / 2), this creates a "fan" of three lines:
EQ1 (Fast): The aggressive line. Used for early exits or scalping stops.
EQ2 (Medium): The baseline trend structure.
EQ3 (Slow): The major trend container. Used for position trading.
Usage: Use these lines to gauge how far price has deviated from its "fair value."
3. Breakout & Internal Trend
Lookback Period: Defines the range for a valid breakout. A lower lookback (e.g., 10) gives earlier signals but more noise; a higher lookback (e.g., 20-30) confirms significant structural breaks.
Internal Trend: A simplified SMA check to ensure immediate momentum aligns with the macro trend.
4. Signal Strength (The Confluence Meter)
The indicator counts active signals from: KAMA, Internal Trend, S/R, FVG, Breakout, and EQ.
Strong Signal: When the count hits your threshold (e.g., 4/6 ). This suggests a high-probability reversal or breakout.
Medium Signal (Triangles): These appear when the trend is active but not all filters align. These are excellent continuation/re-entry points.
───────────────────────────────────────────────────
How to Trade (Strategy Guide)
🎯 The Entry
Wait for a Strong Signal (Large Label). This confirms that volatility, structure, and momentum have aligned.
Conservative: Wait for the candle to close.
Aggressive: Enter on the breakout of the KAMA line.
🔄 Re-Entry & Continuation
Markets rarely move in a straight line.
Scenario: You missed the initial "Strong" entry, or you took profit and want to re-enter.
The Signal: Look for the small Triangles (Medium signals). These often appear after a pullback when price resumes the main trend.
Logic: If the main KAMA trend is still green/red, but the "Strong" signal isn't firing, a Triangle indicates a safe place to add to a position.
⚠️ Pyramiding & Risk Management (Advanced)
The EQ Lines (Fast/Medium/Slow) are designed for a tiered position management strategy:
Entry: Open position (e.g., 0.03 lots).
First Take Profit: When price extends far beyond EQ1 (Fast) , lock in partial profits.
Trailing Stop: Move your Stop Loss to trace the EQ2 (Medium) line.
Trend Riding: Hold the "Runner" portion of your position until price closes back under EQ3 (Slow) or the KAMA line.
Tip: Use William Fractals (Period 2) to pinpoint exact swing highs/lows for tightening stops.
───────────────────────────────────────────────────
Presets & Optimized Settings
To make this "Plug & Play," I have included optimized presets in the settings for different trading styles.
(If you don't see some parameters, that means they are turned off in trading mode)
⚡ SCALPER (1m - 5m)
KAMA:
ER: 100
Fast Length: 15
Slow Length: 30
FVG:
Size %: 0.01
Trend Detection:
Length: 20
Breakout:
Lookback Period: 10
S/R Detection:
Pivot Length: 10
Tolerance: 0.3
SMC EQ:
Default: 10
EQ1: 10
EQ2 (Main): 30
EQ3: 120
Signal Strength:
Strong: 4
Medium: 3
📊 INTRADAY (15m - 1H)
KAMA:
ER: 100
Fast Length: 5
Slow Length: 30
Trend Detection:
Length: 100
Breakout:
Lookback Period: 30
S/R Detection:
Pivot Length: 20
Tolerance: 0.5
SMC EQ:
Default: 10
EQ1: 10
EQ2 (Main): 40
EQ3: 80
Signal Strength:
Strong: 4
Medium: 3
📈 SWING (4H - 1D)
KAMA:
ER: 30
Fast Length: 4
Slow Length: 30
Trend Detection:
Length: 50
Breakout:
Lookback Period: 20
S/R Detection:
Pivot Length: 30
Tolerance: 0.7
SMC EQ:
Default: 10
EQ1: 10
EQ2: 50
EQ3 (Main): 60
Signal Strength:
Strong: 4
Medium: 3
💼 INVESTOR (4H - 1D+)
KAMA:
ER: 30
Fast Length: 5
Slow Length: 10
Trend Detection:
Length: 100
Breakout:
Lookback Period: 50
S/R Detection:
Pivot Length: 30
Tolerance: 0.7
SMC EQ:
Default: 10
EQ1: 10
EQ2: 50
EQ3 (Main): 100
Signal Strength:
Strong: 4
Medium: 3
───────────────────────────────────────────────────
Notes
FVG (Fair Value Gaps): Optional. Enable if you trade volatile assets like Crypto/Gold where imbalances are common.
Support/Resistance: The built-in Pivot system is optional. Disable it if you prefer drawing your own levels to keep the chart clean.
Recommended Pairing:
For best results, pair this with a momentum oscillator like RSI to detect the range regime of a trend. Or DI+ and DI- (when it crosses over each other, that means the "range of possible" regime change of a trend).
───────────────────────────────────────────────────
Disclaimer:
This tool is for informational purposes only. "Confluence" increases probability but does not guarantee results. Always manage your risk.
Adaptive Trend Mapper-ATM [Arjo]Adaptive Trend Mapper (ATM) is a directional pressure indicator designed to visualize how buying and selling commitment evolves during market trends.
Instead of focusing on price direction alone, ATM maps who is exerting stronger pressure —buyers or sellers—and how that pressure expands, weakens, or compresses over time.
Idea
ATM is built around a single concept:
Directional pressure is best understood by weighting trend strength against directional imbalance .
To achieve this, the indicator transforms trend strength into two opposing pressure measures:
Bull Pressure Index
Bear Pressure Index
These indices expand, contract, and converge based on how strongly buyers or sellers are committing, rather than simply tracking momentum or price changes.
How It Works
1. Bull & Bear Pressure Indices
ATM derives two pressure curves by weighting trend strength against directional imbalance:
The Bull Pressure Index increases when upward pressure strengthens.
The Bear Pressure Index increases when downward pressure strengthens.
Both indices operate on a 0–100 scale and are designed to diverge during strong trends and converge during non-directional or compressed phases.
Optional smoothing can be applied to reduce noise and improve readability.
2. Compression / Squeeze Detection
When:
Trend strength weakens,
Bull and Bear pressure converge,
And convergence continues over time,
ATM highlights a compression zone, signaling reduced directional conviction.
These zones often precede directional expansion once pressure rebuilds.
3. Adaptive Trend Context
An adaptive smoothed price curve is displayed on the chart to provide trend context.
Color changes reflect short-term directional shifts, helping align pressure signals with price structure.
This component is contextual only and does not generate signals by itself.
4. Optional Trend Bias Reference
An optional EMA-50 can be enabled to help identify broader directional bias and align pressure behavior with the prevailing trend.
5. Step-Based Visualization
The pressure indices can be optionally step-compressed, improving clarity on fast or noisy charts by reducing minor fluctuations.
How to Use ATM
Rising Bull Pressure → strengthening buyer commitment
Rising Bear Pressure → strengthening seller commitment
Wide separation between indices → strong directional trend
Convergence with compression highlight → range or pre-breakout environment
Notes
ATM uses widely known market concepts such as trend strength, directional imbalance, and adaptive smoothing as conceptual inputs.
All calculations, pressure mapping logic, and compression detection are original implementations developed specifically for this script.
ATM is effective when used to assess participation quality, not as a standalone signal generator.
Disclaimer
This indicator is intended for analysis and educational purposes only.
It does not generate buy or sell signals.
Always apply proper risk management.
Happy Trading.
Algomist - Adaptive Velocity Cross🚀 Algomist: The Adaptive Velocity Cross (AVC)
Automate Your Edge
This strategy transcends the limitations of classic Moving Average (MA) crossovers. The Adaptive Velocity Cross (AVC) is a state-of-the-art trend-following system designed for automated execution, filtering out low-probability whipsaws and prioritizing high-momentum breakouts in volatile markets.
It's not just a signal generator; it's a fully automated, risk-managed trading plan that delivers structured trade signals directly to your Algomist account.
🔥 Key Features & Technology
Adaptive Hull Moving Averages (HMA): Utilizes the Hull MA to significantly reduce lag compared to standard EMAs and SMAs. The faster and slower HMAs provide a highly responsive gauge of short-term and medium-term trend direction.
Multi-Layer Volatility Filtering: Trades are strictly prohibited during flat, low-volatility market conditions.
Current Timeframe Filter (ATRMinFilter): Ensures trades only fire when current market momentum is strong enough to carry the trend.
Higher Timeframe Filter: Checks the ATR on a higher timeframe (e.g., 1H) to confirm the structural trend strength, preventing entries during tight squeezes.
Visual Trend Velocity: The space between the Fast (Blue) and Slow (Pink) HMAs is colored and filled, providing an immediate visual cue for trend direction and strength (width of the band).
Asymmetric Risk Management: Uses the dynamic Average True Range (ATR) to calculate Stop Loss and Take Profit levels, ensuring risk and reward are proportional to current market volatility.
⚙️ How It Works (The Logic)
The AVC only executes a trade when all three high-conviction criteria are met:
Trend Signal: The Fast $\text{HMA}$ crosses the Slow $\text{HMA}$ (Crossover).
Volatile Market Confirmation: The market must be sufficiently volatile on both the current timeframe and the higher structural timeframe ($\text{ATR}$ filters passed).
Risk Management: A defined $\text{SL}$ (Stop Loss) and $\text{TP}$ (Take Profit) are calculated based on the current market $\text{ATR}$ to manage the position before entry.
🤖 Automation Ready
The strategy is built with automation as the priority. Upon a confirmed entry, the script sends a cleanly formatted JSON string via a TradingView Webhook alert to Algomist. Create your account and get your own web hook @ www.algomist.app
Example Alert Output:
{
"symbol": "ETHUSDC",
"side": "LONG",
"entry_price": 67500.0,
"stop_loss": 66000.0,
"take_profit": 70000.0,
"timestamp": 1766715660462
}
This signal is ready for immediate consumption by your Algomist execution engine, ensuring lightning-fast and error-free order placement.
📊 Recommended Use
Asset Class: Highly effective on high-liquidity, high-volatility assets (e.g., Crypto Majors, Forex Pairs, Indices).
Timeframes: Works best on 1m to 15 min charts.
Risk Profile: Medium-to-High frequency trend-following system.
Disclaimer: The strategy code provided is for informational and educational purposes. Past performance is not indicative of future results. Always backtest and forward-test any automated strategy extensively before using real capital.
mk bollinger bands signals - free overly trueThis is the FREE version of MK Bollinger Bands Signals.
A clean and simple Bollinger Bands indicator designed to keep the chart clear.
It provides basic Buy & Sell signals for educational and intraday use.
This version is intended as a free release.
Advanced features and a PRO version may be released separately.
Prism Band Dynamics [JOAT]Prism Band Dynamics - Bollinger-Style Bands with Force Detection
Introduction and Purpose
Prism Band Dynamics is an open-source overlay indicator that creates dynamic Bollinger-style bands with an innovative "force detection" system. The core problem this indicator solves is that standard Bollinger Bands show volatility but don't indicate directional momentum. When all three band components (upper, lower, basis) move in the same direction, it indicates strong directional force that standard bands don't highlight.
This indicator addresses that by detecting when all band components align directionally, providing a clear signal of market force.
Why Force Detection Matters
Standard Bollinger Bands expand and contract based on volatility, but they don't tell you about directional momentum. Force detection adds this dimension:
1. Bullish Force - Upper band, lower band, AND basis all moving up together. This indicates strong upward momentum where even the lower support level is rising.
2. Bearish Force - Upper band, lower band, AND basis all moving down together. This indicates strong downward momentum where even the upper resistance level is falling.
3. Neutral - Mixed movement indicates consolidation or uncertainty.
How Force Detection Works
bool upperUp = upper > upper
bool lowerUp = lower > lower
bool basisUp = basis > basis
int forceFull = if upperUp and lowerUp and basisUp
1 // Bullish force
else if upperDn and lowerDn and basisDn
-1 // Bearish force
else
0 // Neutral
Additional Features
Squeeze Detection - Identifies when band width contracts below threshold, often preceding large moves
Gradient Fills - Color intensity reflects force strength
Direction Change Arrows - Visual markers when force direction shifts
Dashboard Information
Force - Current force status (BULLISH/BEARISH/NEUTRAL)
Position - Price location within bands (Upper/Mid/Lower Zone)
Band Width - Current width percentage with expansion/contraction label
Volatility - Squeeze status (SQUEEZE/NORMAL)
Force Count - Bars since last force change
How to Use This Indicator
For Trend Following:
1. Enter long when force turns BULLISH
2. Enter short when force turns BEARISH
3. Exit or reduce when force turns NEUTRAL
For Squeeze Breakouts:
1. Watch for SQUEEZE status in dashboard
2. Prepare for breakout in either direction
3. Enter when force confirms direction after squeeze
For Mean Reversion:
1. Only trade mean-reversion when force is NEUTRAL
2. Avoid fading moves when force is active
3. Use band touches as entry points during neutral force
Input Parameters
Length (20) - Period for basis and standard deviation
Multiplier (2.0) - Standard deviation multiplier for bands
MA Type (SMA) - Basis calculation method
Squeeze Threshold (0.5) - Band width percentage for squeeze detection
Timeframe Recommendations
4H-Daily: Cleanest force signals
1H: Good balance of signals and reliability
15m: More signals but more noise
Limitations
Force detection can lag during rapid reversals
Squeeze breakouts can fail (false breakouts)
Works best in markets with clear trending/ranging phases
Open-Source and Disclaimer
This script is published as open-source under the Mozilla Public License 2.0 for educational purposes.
This indicator does not constitute financial advice. Force detection does not guarantee trend continuation. Always use proper risk management.
- Made with passion by officialjackofalltrades
MOMENTUM FLIPPERScalp tops and bottom of big volatility moves.
Detects when momentum is shifting.
Look for clusters of dim arrows followed by a solid arrow or two.
Best on 2-3 minute chart.
Do not use when choppy.
Kalman Exponential SuperTrendThe Kalman Exponential SuperTrend is a new, smoother & superior version of the famous "SuperTrend". Using Kalman smoothing, a concept from the EMA (Exponential Moving Average), this script leverages the best out of each and combines it into a single indicator.
How does it work?
First, we need to calculate the Kalman smoothed source. This is a kind of complex calculation, so you need to study it if you want to know how it works precisely. It smooths the source of the SuperTrend, which helps us smooth the SuperTrend.
Then, we calculate "a" where:
n = user defined ATR length
a = 2/(n+1)
Now we calculate the ATR over "n" period. Classical calculation, nothing changed here.
Now we calculate the SuperTrend using the Kalman smoothed source & ATR where:
kalman = kalman smoothed source
ATR = Average True Range
m = Factor chosen by user.
Upper Band = kalman + ATR * m
Lower Band = kalman - ATR * m
Now we just smooth it a bit further using the "a" and a concept from the EMA.
u1 = Upper Band a bar ago
l1 = Lower Band a bar ago
u = Upper Band
l = Lower Band
Upper = u1 * (1-a) + u * a
Lower = l1 * (1-a) + u * a
When the classical (not Kalman) source crosses above the Upper, it indicates an uptrend. When it crosses below the Lower, it indicates a downtrend.
Methodology & Concepts
When I took a look at the classical SuperTrend => It was just far too slow, and if I made it faster it was noisy as hell. So I decided I would try to make up for it.
I tried the gaussian, bilateral filter, but then I tried kalman and that worked the best, so I added it. Now it was still too noisy and unconsistent, so I revisited my knowledge of concepts and picked the one from the EMA, and it kinda solved it.
In the core of the indicator, all it does is combine them in a really simple way, but if you go more deeply you see how it fits the puzzlé really well.
It is not about trying out random things´=> but about seeking what it is missing and trying to lessen its bad side.
That is the entire point of this indicator => Offer a unique approach to the SuperTrend type, that lessen the bad sides of it.
I also added different plotting types, this is so everyone can find their favorite
Enjoy Gs!
Thanks @BackQuant for making a open source Kalman code <3
Adaptive MA SuperTrend 3.0The Adaptive MA SuperTrend 3.0 is a 3rd Generation of the SuperTrend indicator focused on improving accuracy while maintaining high speeds to capture ANY trend the market has to offer and allow investors/traders from beginner to advanced and beyond to gain a unique insight on what is happening with the markets.
How does it work?
The indicator uses a Moving Average as a base for the SuperTrend and adapts it to market environments.
It uses averages to find if short-term, medium-term or long-term have the highest avg. volume/ATR/Standard Deviation. Whichever period has the highest avg. is the length that will be used for the moving average.
Then it smooths it slightly to give a smoother result to finish the job.
That leaves us with high speed & accurate signals that adapt to any environment.
Enjoy!
RSI Bollinger Band and Trend Confidence Gauge█ RSI BB Trend Confidence Gauge (ADX/DMI)
Cross-checks Trend + Momentum + Strength in real time so you focus on VERIFIED conditions.
Most of us have been there: you see a move starting, you jump in, and the market immediately turns into a sideways chop-fest that eats your stop. This is a simple dashboard that forces the market to “prove itself” before you put capital at risk.
█ WHAT MAKES THIS DIFFERENT?
Most indicators are “Yes/No” machines — they fire signals anytime two lines cross, even when the market is weak, noisy, or range-bound. This script is a Quality Filter .
Instead of asking “Is price moving?”, it asks: “Is the move backed by alignment, momentum, and strength?”
VERIFIED only appears when all three agree, helping you avoid low-probability chop and “no-trade” consolidation zones.
█ QUICK START
• UP + VERIFIED + High ➔ “A-Tier” state; favor pullbacks or continuation.
• DOWN + VERIFIED + High ➔ bearish control is real; avoid dip-buying.
• Conflict (gray) ➔ indicators disagree; step aside and wait for alignment.
• R or B markers ➔ overextension warnings; don’t chase into extremes.
█ THE "ANTI-CHOP" ENGINE
Trading is probability, not guessing. This script uses a 3-stage logic gate to verify conditions:
• 1) The Trend (HMA 13/34): Hull Moving Averages provide a fast, smooth regime filter. If fast vs. slow isn’t clean, the regime isn’t ready.
• 2) The Fuel (RSI 50): A trend without momentum is a trap. UP/DOWN only prints when RSI confirms.
• 3) The Proof (ADX/DMI): Final gate. VERIFIED only appears when ADX ≥ 22 and DI+/DI- agrees . If strength isn’t there, stay sidelined.
█ VISUALS YOU'LL ACTUALLY USE
• Live Dashboard: Bottom-center snapshot of RSI, Direction (UP/DOWN/Conflict), VERIFIED status, and Confidence tier (Low/Med/High).
• Exhaustion Markers: Orange icons when price is extended: "R" for RSI extremes and "B" for Bollinger Band hits. These flag caution zones.
• Trend Ribbon: Zero-line bias bar: Lime (bullish), Red (bearish), Gray (conflict/chop risk).
█ SETTINGS
• Action ADX Minimum (default 22): Want stricter verification? Try 25. Want earlier signals? Try 20 (higher noise/risk).
Disclaimer: Educational tool only. Not financial advice. Past performance does not guarantee future results. Always use strict risk management.
GK ZeroLag BOSGK Zero-lag BOS is clean, non repainting institutional trend and structure indicator built specifically for precision entries. It combines Zero-lag EMA ZELMA with ATR volatility bands to define true trend direction, then confirms entries using break of structure BOS logic. signals only print once per trend eliminating noise, chop. KEY FEATURES Zero lag EMA trend detection length=70 ATR band volatility filter, BOS confirmation using recent structure highs/lows. one GK BUY / GK SELL per trend fully non repainting and bar close confirmed optimised for XAUUSD
Adaptive MA SuperTrend 2.0The Adaptive MA SuperTrend 2.0 is a new cutting edge SuperTrend that adapts to the environment and provides users with fast, smooth signals that can enhance the strategies of any user.
How does it work?
This indicator combines the classic ATR with Moving Average of users choice, and filters the data. It uses a condition, that flips the Moving Average between the past and current value, adapting and trying to enhance the accuracy of the indicator
End Of MooveINDICATOR: END OF MOOVE (EOM)
1. Overview
The EndOfMoove (EOM) is a specialized volatility analysis tool designed to detect market exhaustion and potential price reversals. By utilizing a modified Williams Vix Fix (WVF) logic, it identifies when fear or selling pressure has reached a statistical extreme relative to recent history.
---
2. Core Logic & Calculation
The script functions by measuring the "synthetic" volatility created during sharp price drops and momentum shifts.
* Williams Vix Fix (WVF) Logic: It calculates the distance between the current low and the highest close over a specific lookback period ( 20 bars by default ). This creates a volatility spike during market bottoms or rapid corrections.
* Dynamic Normalization: The indicator continuously tracks the Historical Maximum of this volatility over a long window ( 250 bars ).
* Statistical Thresholding: It sets a "Danger Zone" at a specific percentage ( 75% ) of that historical maximum to filter out noise and isolate significant exhaustion events.
---
3. Adaptive Intelligence (Detection & Smoothing)
The EOM adapts to different market conditions through its detection engine:
1. Spike Confirmation: To avoid premature entries, the script uses a confirmation window ( 3 bars ). A signal is only "confirmed" if the current volatility spike is the highest within this local window.
2. Variable Smoothing: Traders can apply an internal SMA smoothing to the raw volatility data to filter out erratic price action on lower timeframes.
---
4. Visual Anatomy
The interface uses a high-contrast design to highlight institutional exhaustion:
* The Histogram:
* Faded Gray: Represents standard market volatility. The transparency is dynamic ; it darkens as volatility rises, signaling a buildup in pressure.
* Bright White: Activates when the volatility crosses the Dynamic Threshold , marking a high-probability exhaustion zone.
* The Threshold Line: A continuous horizontal boundary that represents the 75% of historical max , acting as the "Trigger Line."
* Signal Triangles: A small white triangle appears at the top of the indicator when a Volatility Spike is statistically confirmed.
---
5. How to Trade with EndOfMoove
* Spotting Bottoms: Large white columns often coincide with "capitulation" phases. When the histogram reaches these levels, the current downward move is likely overextended.
* Divergence Watch: If price makes a new low but the EOM histogram shows a lower spike than the previous one, it indicates that selling pressure is drying up.
* Volatility Breakouts: A sudden transition from faded gray to bright white suggests an impulse move that is reaching its peak velocity.
---
6. Technical Parameters
* WVF Period: Controls the sensitivity of the raw volatility calculation.
* Historical Max Period: Determines the depth of the statistical database (50 to 500 bars).
* Threshold %: Allows the trader to tighten or loosen the "Extreme" zone (set to 75% for balanced results).
Adaptive MA SuperTrendAdaptive MA SuperTrend is a new trend following tool designed for more responsive & smoother signal production from the classical SuperTrend indicator.
It works by picking two Moving Averages, that are swapped in their function between being used for the upper base or the lower base, based on the circumstances.
Then it applies either SD or ATR (based on the users preference) to the bases.
This provides smooth, fast trend signals that users can use to enhance their trading/investing strategies.
Enjoy!
