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Lakshmi - Low Volatility Range Breakout (LVRB)⚡️ Overview
The Low Volatility Range Breakout (LVRB) indicator is designed to identify consolidation phases characterized by suppressed volatility and generate actionable signals when price breaks out of these ranges. The underlying premise is rooted in the market principle that periods of low volatility often precede significant directional moves—volatility contraction leads to expansion.
Important Note on Optimization: The default parameter settings of this indicator have been specifically optimized for BTCUSDT on the 2-hour (2H) timeframe. While the indicator can be applied to other instruments and timeframes, users are encouraged to adjust the parameters accordingly to suit different trading conditions and asset characteristics.
This indicator automates the detection of "quiet" accumulation/distribution zones and provides clear visual cues and alerts when a breakout occurs.
⚡️ How to Use
1. Add the indicator to your chart. Default settings are optimized for BTCUSDT 2H.
2. Wait for a gray box to appear—this indicates a qualified low-volatility range is forming.
3. Monitor for breakout signals:
• LONG (green triangle below bar): Price broke above the range. Consider entering a long position.
• SHORT (red triangle above bar): Price broke below the range. Consider entering a short position.
4. Set alerts using "LVRB LONG" or "LVRB SHORT" to receive notifications on confirmed breakouts.
5. Adjust parameters as needed for different instruments or timeframes.
Tip: Combine with volume analysis or trend filters for higher-probability setups.
⚡️ How It Works
1. Low Volatility Bar Detection
A bar is classified as "low volatility" when it meets the following criteria:
• True Range (TR) is at or below the average TR (Simple Moving Average) multiplied by a user-defined threshold.
• (Optional) Candle Body is at or below the average body size multiplied by a separate threshold.
This dual-filter approach helps isolate bars that exhibit genuine compression in both range and directional commitment.
2. Range Box Formation
When consecutive low-volatility bars are detected, the indicator begins constructing a consolidation box:
• The box expands to encompass the high and low of qualifying bars.
• A minimum number of bars and a minimum fraction of low-volatility bars are required for the box to become "qualified" (active).
• A configurable tolerance allows for a limited number of consecutive non-low-vol bars within the sequence, accommodating minor noise without invalidating the range.
• If the box height exceeds a maximum threshold (defined as a multiple of the base ATR at sequence start), the range is invalidated.
3. Breakout Detection
Once a qualified range is established, the indicator monitors for breakouts:
• Wick Mode: Requires both a wick pierce beyond the range boundary AND a close outside the range.
• Close Mode: Requires only a close beyond the range boundary.
• (Optional) Breakout Body Filter: The breakout candle's body must exceed a multiple of the average body size at range formation.
• (Optional) Candle Direction Filter: Bullish breakouts require a green candle; bearish breakouts require a red candle.
Signals are displayed in real-time and confirmed upon bar close.
⚡️ Inputs & Parameters
• Volatility Window: Lookback period for calculating average TR and average body size.
• TR Multiplier: A bar's TR must be ≤ avgTR × this value to qualify as low-vol.
• Body Multiplier: A bar's body must be ≤ avgBody × this value (if body filter is enabled).
• Use Body Filter: Toggle the body size filter on/off.
• Min Bars in Box: Minimum number of bars required for a range to become qualified.
• Min Low-Vol Fraction: Minimum proportion of bars in the sequence that must be low-vol.
• Allowed Consecutive Non-Low-Vol Bars: Tolerance for consecutive bars that do not meet low-vol criteria.
• Max Box Height: Maximum allowed range height as a multiple of the base ATR.
• Breakout Mode: Choose between "Wick" (pierce + close) or "Close" (close only).
• Breakout Body Multiplier: Require breakout candle body ≥ avgBody × this value (1.0 = OFF).
• Require Candle Direction: Enforce green candle for LONG, red candle for SHORT.
⚡️ Visual Features
• Consolidation Boxes: Displayed in neutral (gray) color during formation. Upon a confirmed breakout, the box is colored green for bullish breakouts or red for bearish breakouts.
• Breakout Signals:
• LONG: Green upward triangle displayed below the price bar with "LONG" label.
• SHORT: Red downward triangle displayed above the price bar with "SHORT" label.
• Range Levels: Optional horizontal plots for the active range's high and low.
• Invalidated Boxes: Optionally retained in neutral (gray) color or deleted from the chart.
• Full Customization: Colors, transparency, and border width are all adjustable.
⚡️ Alerts
Two alert conditions are available:
• LVRB LONG: Triggered on a confirmed bullish breakout (bar close).
• LVRB SHORT: Triggered on a confirmed bearish breakout (bar close).
⚡️ Use Cases
• Breakout Trading: Enter positions when price escapes a well-defined low-volatility range.
• Volatility Expansion Plays: Anticipate increased volatility following periods of compression.
• Filtering Choppy Markets: Avoid trading during extended consolidation; wait for confirmed breakouts.
• Multi-Timeframe Analysis: Use on higher timeframes to identify major consolidation zones.
⚡️ Notes
• Best used in conjunction with volume analysis, trend context, or support/resistance levels for confirmation.
• Performance varies across instruments and timeframes; backtesting and parameter optimization are recommended.
⚡️ Credits
Developed by Lakshmi. Inspired by volatility contraction principles and range breakout methodologies.
⚡️ Disclaimer
This indicator is provided for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a guarantee of profits. Trading financial instruments involves substantial risk, and you may lose more than your initial investment. Past performance, whether indicated by backtesting or historical analysis, does not guarantee future results. The use of this indicator does not ensure or promise any profits or protection against losses. Users are solely responsible for their own trading decisions and should conduct their own research and/or consult with a qualified financial advisor before making any investment decisions. By using this indicator, you acknowledge and accept that you bear full responsibility for any trading outcomes. Indicador
Dynamic ATR-based Renko Overlay - Non repaintingDaily ATR-Based Renko Overlay
Overview
This Pine Script v5 indicator creates a dynamic Renko overlay on your time-based charts (optimized for 1-minute timeframes), using the previous period's ATR from a user-specified higher timeframe (default: 1-hour) to determine brick sizes. Unlike traditional Renko charts, this is an overlay that draws Renko bricks directly on top of your existing candles, allowing you to combine the noise-filtering power of Renko with the full features of time-based charts.
It's designed for traders who want Renko's trend-clarity benefits without switching chart types, especially useful for intraday trading in volatile markets like forex, stocks, or crypto.
Key Features
- Adaptive Brick Sizing: Brick size is calculated as a percentage (default 40%) of the previous period's ATR (Average True Range, default length 14) from the selected higher timeframe (default: 1-hour). This makes bricks volatility-adjusted—larger in high-vol periods to reduce noise, smaller in low-vol for more detail.
- Periodic Recalculation: Resets brick size at the start of each new period based on the user-specified reset timeframe (default: daily), using the prior period's ATR from the chosen timeframe. This ensures relevance without unwanted disruptions.
- Traditional Renko Logic: Uses 1-box reversal (a full brick against the trend to reverse). Bricks form based on closing prices, ignoring time and minor fluctuations.
- Visual Style: Stepped lines with green (up) and red (down) fills for a box-like appearance. Semi-transparent for easy overlay on candles.
- Customizable Inputs:
- ATR Length: Adjust the ATR period (default: 14).
- Percentage of ATR: Fine-tune brick sensitivity (default: 0.4 or 40%; range 0-1).
- ATR Timeframe: Specify the timeframe for ATR calculation (default: "60" for 1-hour; enter as a string like "240" for 4-hour, "D" for daily, etc.).
- Reset Timeframe: Specify the period for recalculating the brick size (default: "D" for daily; enter as a string like "W" for weekly, "M" for monthly, etc.).
How It Works
1. Fetches ATR from the user-specified timeframe via `request.security` for higher-timeframe volatility data.
2. On new periods based on the reset timeframe (or first load), sets brick size to `percent * ATR_HTF`.
3. Tracks Renko "close" and "previous close" to calculate bricks:
- Upward moves add green bricks in multiples of the size.
- Downward moves add red bricks.
- Reversals require a full brick against the direction.
4. Plots and fills create the overlay, updating on each 1-min bar close.
Add it to a 1-minute chart for best results—bricks will adapt periodically while you retain full candle visibility.
Why This Indicator is Helpful
TradingView's native Renko charts are powerful but come with limitations that can frustrate serious traders:
- No Bar Replay: Native Renko doesn't support TradingView's bar replay feature, making it hard to simulate historical trading sessions.
- Inaccurate/Repainting Strategy Testing: Strategies on native Renko can repaint or lack precision due to the non-time-based nature, leading to unreliable backtests.
- Limited Data History: Fast Renko timeframes (e.g., small bricks) often load very little historical data, restricting long-term analysis.
This overlay solves these by building Renko on a time-based chart:
- Full Bar Replay Support: Replay sessions as usual on your 1-min chart—the Renko follows along.
- Accurate, Non-Repainting Testing: Test strategies on the underlying time chart without repainting issues, as Renko is derived from closes.
- Unlimited Data Depth: Access TradingView's full historical data for 1-min charts (up to years of bars), not limited by Renko's data constraints.
- Hybrid Analysis: Overlay Renko on candles to spot trends while using volume, indicators (e.g., RSI, MAs), or drawing tools that don't work well on native Renko.
It's a game-changer for trend-following, breakout strategies, or filtering noise in short-term trades. No more switching charts—get the best of both worlds!
Usage Tips
- Best on 1-min charts for intraday precision, but experiment with others.
- Tune the percentage lower (e.g., 0.3) for more bricks/sensitivity, higher (e.g., 0.5) for fewer/false-signal reduction.
- Adjust the ATR timeframe to match your strategy—e.g., "240" for longer-term volatility or "15" for shorter.
- Customize the reset timeframe for different recalculation frequencies—e.g., "W" for weekly resets to capture broader market shifts, or "240" for every 4 hours.
- Combine with alerts: right now I am experimenting with 90 period EMA and the Renko brick pullbacks to find some EDGE
If you find this useful, give it a thumbs up or share your tweaks in the comments. Feedback welcome—happy trading! 🚀 Indicador
Indicador
Indicador
Volume-Weighted Hybrid Channel [Capitalize Labs]Volume-Weighted Hybrid Channel (VWHC) is a channel-only indicator designed to visualise mean and volatility structure using a blended framework. It combines a configurable mean engine (SuperSmoother, EMA, SMA, or RMA) with an anchored VWAP component, then builds a four-level band ladder around a hybrid mean using a hybrid width that blends a range engine (ATR or true range variants) with anchored, volume-weighted standard deviation. The result is a smooth, adaptive channel intended to help us contextualise price location and volatility expansion or contraction relative to the hybrid mean.
The indicator supports Weekly or Session anchoring for the VWAP and sigma components, and includes optional transition smoothing after anchor resets to reduce visual stepping. Band levels are user-defined (with automatic ordering enforcement), and optional gradient fills can be enabled for clearer zone recognition. An optional Band Occupancy Table is included to show how frequently price closes inside each zone, either over a rolling lookback or since the most recent anchor reset. This table is informational only and does not generate signals.
This script is an indicator, not a strategy. It does not place trades, generate alerts, or provide entry or exit instructions. Outputs depend on chart symbol, timeframe, and data quality, including volume availability. The channel is designed to be non-repainting in the sense that it uses confirmed bar data and does not use forward-looking logic; however, like all indicators, the current bar can update until it closes.
Risk Warning
This material is educational research only and does not constitute financial advice, investment recommendation, or a solicitation to buy or sell any instrument. Foreign exchange and CFDs are complex, leveraged products that carry a high risk of rapid losses; leverage amplifies both gains and losses, and you should not trade with funds you cannot afford to lose. Market conditions can change without notice, and news or illiquidity may cause gaps and slippage; stop-loss orders are not guaranteed.
The analysis presented does not take into account your objectives, financial situation, or risk tolerance. Before acting, assess suitability in light of your circumstances and consider seeking advice from a licensed professional. Past performance and back-tested or hypothetical scenarios are not reliable indicators of future results, and no outcome or level mentioned here is assured. You are solely responsible for all trading decisions, including position sizing and risk management. No external links, promotions, or contact details are provided, in line with TradingView House Rules.
Disclaimer
Use of this indicator is at our own discretion and risk. It is a visual analysis tool and should be validated through independent testing and a documented trading plan before being used in live decision-making. Indicador
Indicador
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. Estrategia
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 Indicador
Breakout LevelsBreakout Levels - User Guide
Overview
The Breakout Levels indicator automatically detects and displays significant breakout candles across multiple timeframes. A breakout occurs when price makes a strong, decisive move - identified by candles with unusually large bodies relative to average volatility.
These breakout levels often act as future support/resistance zones, making them valuable reference points for trading decisions.
What is a Breakout?
A breakout is detected when a candle's body size (the distance between open and close) is significantly larger than normal. By default, the script looks for candles that are 2x the ATR (Average True Range) or larger.
Example:
If the 14-period ATR is $5, a candle with a $10+ body would qualify as a breakout
These represent strong, committed moves by the market
The script marks the high of bullish breakouts and the low of bearish breakouts
Settings Guide
Timeframes
Toggle which timeframes to monitor for breakouts:
Show Daily Breakouts - Green/Red levels from daily chart breakouts
Show 4H Breakouts - 4-hour timeframe breakouts
Show 1H Breakouts - 1-hour timeframe breakouts
Show 15M Breakouts - 15-minute timeframe breakouts
Tip: When running on a 15-minute chart, you can see breakouts from all higher timeframes simultaneously.
Lookback (How Far Back to Display)
Controls how many bars back to show levels for each timeframe:
TimeframeDefaultWhat it Means15M50 bars~12.5 hours of breakout history1H200 bars~8 days of breakout history4H250 bars~42 days of breakout historyDaily300 bars~300 days (nearly 1 year)
Why adjust this?
Increase to see more historical levels (may clutter chart)
Decrease to focus only on recent breakouts
Older levels are still stored, just not displayed
Detection Settings
Breakout Candle Size (x ATR)
Default: 2.0
Range: 1.0 to 5.0
What it does: Multiplier for what qualifies as a "big" candle
SettingSensitivityUse Case1.0-1.5Very sensitiveCatches more breakouts, but may include false moves2.0Balanced (default)Good mix of quality and quantity3.0-5.0Very selectiveOnly the most explosive moves
Recommendation: Start with 2.0 and adjust based on your market and trading style.
Visual Settings
Bullish Breakout Color
Default: Green with 60% transparency
Marks levels where price broke upward strongly
Bearish Breakout Color
Default: Red with 60% transparency
Marks levels where price broke downward strongly
Show Labels
Toggle labels on/off
Labels display: BO
Example: "4H BO 150.25"
Turn OFF for cleaner charts when you just want the lines
How to Use This Indicator
1. Identify Key Breakout Zones
Breakout levels often become magnets where price returns later:
Former resistance (where price broke up) becomes future support
Former support (where price broke down) becomes future resistance
2. Look for Confluence
When multiple timeframe breakouts cluster near the same price:
15M + 1H + 4H breakouts all near $150 = strong level
More confluence = more significant level
3. Watch for Retests
After a breakout, price often returns to test that level:
Bullish breakout retest from above = potential long entry
Bearish breakout retest from below = potential short entry
4. Combine with Other Analysis
Use breakout levels alongside:
Your own support/resistance analysis
Volume profiles
Fibonacci levels
Candlestick patterns at these levels
Practical Examples
Example 1: Clean Breakout and Retest
Daily candle closes up with a huge body (2.5x ATR)
Green line drawn at the high of that candle
Price pulls back 3 days later and bounces exactly off that green line
Trade opportunity: Long entry at the retest with stop below
Example 2: Failed Breakout
4H bearish breakout draws a red line at the low
Price immediately reverses back above the level
Signal: The breakout was false - consider this a stop hunt zone
Example 3: Multi-Timeframe Confluence
Daily breakout at $100
4H breakout at $100.50
1H breakout at $99.80
Strong cluster zone: $99.80-$100.50 becomes a major decision point
Best Practices
DO:
✅ Start with default settings (2.0x ATR, default lookbacks)
✅ Use on a 15-minute chart to see all timeframes
✅ Look for price reactions at these levels before trading
✅ Combine with volume - breakouts with high volume are more reliable
✅ Turn off labels when chart gets too busy
DON'T:
❌ Treat every line as guaranteed support/resistance
❌ Set breakout multiplier too low (<1.5) - creates noise
❌ Ignore the context - check what's happening in the broader market
❌ Trade blindly at these levels without confirmation
Troubleshooting
"Too many lines on my chart"
Reduce the lookback settings
Turn off some timeframes (maybe just show Daily + 4H)
Increase the breakout multiplier to 2.5 or 3.0
"Not showing any levels"
Lower the breakout multiplier to 1.5
Increase lookback settings
Check that at least one timeframe toggle is ON
Verify the market had actual volatility during the period
"Labels are cluttering the chart"
Turn off "Show Labels" in settings
Lines will remain, labels disappear
Technical Notes
ATR Period: 14 (industry standard, not adjustable in this version)
Max Lines: 500 (Pine Script limitation)
Duplicate Filter: Levels within 0.3% of ATR are considered duplicates and filtered
Chart Type: Works on any chart timeframe, optimized for 15-minute
Asset Type: Works on stocks, forex, crypto, futures
Summary
The Breakout Levels indicator gives you a systematic way to identify where strong, committed market moves occurred. These levels often act as future decision points. Use them as reference zones to watch for price reactions, not as automatic trade signals.
Quick Start:
Add indicator to a 15-minute chart
Leave default settings (2.0x ATR)
Watch how price interacts with the levels over the next few days
Adjust sensitivity based on your observations
Happy trading! 📈 Indicador
Indicador
Adaptive Gaussian AFR# Adaptive Gaussian AFR (Average Filtering Range)
The **Adaptive Gaussian AFR** is a sophisticated trend-following overlay designed to provide a "cleaner" perspective on market structure. It synthesizes advanced signal processing with volatility-adjusted trailing logic to create a perpetual trend indicator that filters noise while maintaining extreme responsiveness during momentum breakouts.
## How It Works
This indicator combines three distinct mathematical principles to analyze and visualize price action:
### 1. 4-Pole Gaussian Smoothing
Standard moving averages often suffer from a trade-off between smoothness and lag. By employing a **4-pole Gaussian filter**, the indicator applies a bell-curve weighting to price data. This results in a curve that is mathematically smoother than an EMA but reacts more sharply to significant price shocks.
### 2. Adaptive Volatility Scaling
Unlike static indicators, this script utilizes a **Volatility Ratio** (comparing short-term ATR to long-term ATR).
- **Expansion:** When volatility spikes, the Gaussian filter automatically shortens its lookback to "catch" the breakout.
- **Contraction:** When the market consolidates, it lengthens the lookback to prevent "whipsaws" and false signals.
### 3. AFR (Average Filtering Range) Logic
The "step-ladder" behavior is driven by the AFR logic. It calculates volatility-based boundaries (using an ATR factor). The trend line only moves higher if the price exceeds the current floor, and only moves lower if the price breaks the ceiling, creating a "perpetual" support and resistance level.
## Visual Interface & Branding
The script features a high-visibility sentiment map using a custom brand color scheme:
- **Bullish State (Blue - rgb(45, 162, 252)):** Triggered when price is trading above the Adaptive Gaussian mean and the AFR floor.
- **Bearish State (Purple - rgb(113, 59, 249)):** Triggered when price breaks below the mean and the AFR ceiling.
- **Brand Candles:** Price bars are automatically colored to match the trend state for immediate visual confirmation.
## Why This is Unique
Most trend followers are "fixed"—they perform well in trending markets but fail in sideways chop. The uniqueness of the **Adaptive Gaussian AFR** lies in its ability to "breathe." Because the Gaussian engine is adaptive, it attempts to solve the "lag vs. noise" problem by becoming more rigid when the market is indecisive and more fluid when a trend is confirmed.
## Great inventions require great Care
**This is not a standalone trading system.** While the Adaptive Gaussian AFR provides a highly refined view of the trend, it should be used in conjunction with other analysis tools.
- **Lag:** Like all indicators based on historical data, the filter is inherently lagging and cannot predict future price movements.
- **No Standalone Use:** Do not use this as your sole reason for entering or exiting a trade. It is best used as a **Trend Filter** or a **Volatility-Adjusted Entry/Exit Strategy in confluence with other tools**.
- **Context Matters:** It does not account for fundamental news, higher-timeframe resistance, or volume profiles.
Enjoy!
Indicador
Indicador
VWATR Stop-Loss BandsPurpose
The script provides an adaptive stop‑loss framework built from VWATR, it anchors protective levels to price extremes and scales them with both volatility and volume. The objective is to create stop‑loss zones that reflect real market intensity rather than arbitrary fixed distances.
How it works
The script computes true range, multiplies it by volume, and smooths both the volume‑weighted range and raw volume using the selected moving average, their ratio forms VWATR, a volatility measure normalized by traded volume. It then calculates the standard deviation of VWATR to capture volatility‑of‑volatility. Stop‑loss levels are constructed by offsetting the low and high by one VWATR, with additional layers created by adding or subtracting one to five standard deviations. The plots use strong colors for core levels and progressively lighter tones for outer layers, establishing a clear visual hierarchy.
Rationale
This structure gives the trader stop‑loss levels that adapt to changing market conditions, expanding during high‑energy phases and contracting during quiet periods, which reduces premature stop‑outs and aligns risk with actual volatility. The standard deviation layers provide a graded map of volatility stress, allowing the user to assess how far price must travel to breach increasingly extreme thresholds. The result is a stop‑loss system that is both reactive and context‑aware, offering more informed decision‑making than static offsets. Indicador
Algomist.app v1.0🚀 WMA Crossover Momentum Scalper: Algomist.app AUTO-EXECUTION
This strategy is a momentum-based trend-following system optimized for fully automated, high-frequency trade execution via algomist.app webhooks. It systematically enters trades based on a powerful moving average crossover, confirmed by both volume and volatility filters.
⚙️ Core Strategy Logic
This script is designed to capture short- to medium-term moves in trending markets by combining three key indicators:
Trend Confirmation (WMA Crossover): The primary signal is generated when a Fast WMA (50-period) crosses the Slow WMA (100-period). This crossover confirms the shift in the prevailing trend direction.
Volume Filter (VWAP): The trade is only taken if the price is trading above the VWAP for Long entries, or below the VWAP for Short entries. This ensures the trade is aligned with the asset's average price relative to trading volume.
Volatility Filter (ATR): A minimum Average True Range (ATR) filter is applied. This is critical for avoiding entries during periods of extreme low volatility ("chop"), ensuring the market has enough movement to justify the trade.
🔗 Algomist.app Automation Ready
This is the most important feature. The script contains custom-coded alert() functions that output a perfect JSON payload, making it 100% compatible with the algomist.app webhook infrastructure.
Seamless Execution: The strategy instantly transmits all required parameters—symbol, side, entry_price, dynamic stop_loss, and dynamic take_profit—directly to your MT5 terminal through the algomist.app connector.
Simple Setup: To enable live automation, you only need to configure a TradingView alert using the provided webhook URL and the {{strategy.order.alert_message}} placeholder on the bar's close.
Default Asset: The webhook is pre-configured to trade the ETHUSDC symbol. This can be easily adapted to other crypto or Forex pairs within the algomist.app settings.
🛡️ Dynamic Risk Management (ATR-Based)
Risk management is dynamic, ensuring the Stop Loss and Take Profit levels automatically adapt to current market volatility:
Stop Loss (SL): Placed at a customizable (x) * ATR distance from the entry price. The default setting is 3.0x ATR.
Take Profit (TP): Placed at a customizable (x) * ATR distance from the entry price. The default setting is 9.0x ATR, offering a fixed Reward-to-Risk ratio of 3:1 (9.0 / 3.0).
Position Sizing: The script uses strategy.percent_of_equity = 10% for backtesting, but the algomist.app execution is based on an internal calculation using a small percentage (e.g., 5%) of a leveraged notional value for illustrative purposes. Users must set their risk size within the algomist.app platform.
Disclaimer: This script is provided as an example for Algomist.app users and is NOT financial advice. Backtest thoroughly across various assets and timeframes. Past performance is not indicative of future results. The user assumes all responsibility for live trading risk. Estrategia
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Volume Weighted ATRThis script implements a Volume‑Weighted Average True Range (VWATR) indicator, a variation of ATR that incorporates trading volume into the volatility calculation. Instead of treating all price movements equally, it amplifies true range during high‑volume periods and dampens it during low‑volume periods, producing a volatility measure that adapts to liquidity conditions. The script begins by allowing the user to choose a lookback length and a smoothing method, offering RMA, SMA, EMA, or WMA for flexibility in how responsive the indicator should be.
The core of the calculation starts with the standard true range, which captures the most meaningful price movement of each bar. This true range is then multiplied by volume, creating a volume‑weighted true range that gives more importance to bars where market participation is higher. To ensure consistency, the script defines a custom moving‑average function that applies the selected smoothing method to any input series. This function is used twice: once to smooth the volume‑weighted true range and once to smooth volume itself.
The final VWATR value is obtained by dividing the smoothed volume‑weighted true range by the smoothed volume. Mathematically, this produces a volume‑weighted mean of true range, making the indicator more sensitive to volatility expansions that occur with strong participation and less reactive to low‑volume noise. The script concludes by plotting this VWATR line, giving traders a clean, adaptive measure of volatility that can be used for regime detection, breakout confirmation, or dynamic stop sizing
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FVG Heatmap [Hash Capital Research]FVG Map
FVG Map is a visual Fair Value Gap (FVG) mapping tool built to make displacement imbalances easy to see and manage in real time. It detects 3-candle FVG zones, plots them as clean heatmap boxes, tracks partial mitigation (how much of the zone has been filled), and summarizes recent “fill speed” behavior in a small regime dashboard.
This is an indicator (not a strategy). It does not place trades and it does not publish performance claims. It is a market-structure visualization tool intended to support discretionary or systematic workflows.
What this script detects
Bullish FVG (gap below price)
A bullish FVG is detected when the candle from two bars ago has a high below the current candle’s low.
The zone spans from that prior high up to the current low.
Bearish FVG (gap above price)
A bearish FVG is detected when the candle from two bars ago has a low above the current candle’s high.
The zone spans from the current high up to that prior low.
What makes it useful
Heatmap zones (clean, readable FVG boxes)
Bullish zones plot below price. Bearish zones plot above price.
Partial fill tracking (mitigation progress)
As price trades back into a zone, the script visually shows how much of the zone has been filled.
Mitigation modes (your definition of “filled”)
• Full Fill: price fully trades through the zone
• 50% Fill: price reaches the midpoint of the zone
• First Touch: price touches the zone one time
Optional auto-cleanup
Optionally remove zones once they’re mitigated to keep the chart clean.
Fill-Speed Regime Dashboard
When zones get mitigated, the script records how many bars it took to fill and summarizes the recent environment:
• Average fill time
• Median fill time
• % fast fills vs % slow fills
• Regime label: choppy/mean-revert, trending/displacement, or mixed
How to use
Use FVG zones as structure, not guaranteed signals.
• Bullish zones are often watched as potential support on pullbacks.
• Bearish zones are often watched as potential resistance on rallies.
The fill-speed dashboard helps provide context: fast fills tend to appear in more rotational conditions, while slow fills tend to appear in stronger trend/displacement conditions.
Alerts
Bullish FVG Created
Bearish FVG Created
Notes
FVGs are not guaranteed reversal points. Fill-speed/regime is descriptive of recent behavior and should be treated as context, not prediction. On realtime candles, visuals may update as the bar forms. Indicador
