Curved Radius Supertrend [BOSWaves]Curved Radius Supertrend — Adaptive Parabolic Trend Framework with Dynamic Acceleration Geometry
Overview
The Curved Radius Supertrend introduces an evolution of the classic Supertrend indicator - engineered with a dynamic curvature engine that replaces rigid ATR bands with parabolic, radius-based motion. Traditional Supertrend systems rely on static band displacement, reacting linearly to volatility and often lagging behind emerging price acceleration. The Curved Radius Supertend model redefines this by integrating controlled acceleration and curvature geometry, allowing the trend bands to adapt fluidly to both velocity and duration of price movement.
The result is a smoother, more organic trend flow that visually captures the momentum curve of price action - not just its direction. Instead of sharp pivots or whipsaws, traders experience a structurally curved trajectory that mirrors real market inertia. This makes it particularly effective for identifying sustained directional phases, detecting early trend rotations, and filtering out noise that plagues standard Supertrend methodologies.
Unlike conventional band-following systems, the Curved Radius framework is time-reactive and velocity-aware, providing a nuanced signal structure that blends geometric precision with volatility sensitivity.
Theoretical Foundation
The Curved Radius Supertrend draws from the intersection of mathematical curvature dynamics and adaptive volatility processing. Standard Supertrend algorithms extend from Average True Range (ATR) envelopes - a linear measure of volatility that moves proportionally with price deviation. However, markets do not expand or contract linearly. Trend velocity typically accelerates and decelerates in nonlinear arcs, forming natural parabolas across price phases.
By embedding a radius-based acceleration function, the indicator models this natural behavior. The core variable, radiusStrength, controls how aggressively curvature accelerates over time. Instead of simply following price distance, the band now evolves according to temporal acceleration - each bar contributes incremental velocity, bending the trend line into a radius-like curve.
This structural design allows the indicator to anticipate rather than just respond to price action, capturing momentum transitions as curved accelerations rather than binary flips. In practice, this eliminates the stutter effect typical of standard Supertrends and replaces it with fluid directional motion that better reflects actual trend geometry.
How It Works
The Curved Radius Supertrend is constructed through a multi-stage process designed to balance price responsiveness with geometric stability:
1. Baseline Supertrend Core
The framework begins with a standard ATR-derived upper and lower band calculation. These define the volatility envelope that constrains potential price zones. Directional bias is determined through crossover logic - prices above the lower band confirm an uptrend, while prices below the upper band confirm a downtrend.
2. Curvature Acceleration Engine
Once a trend direction is established, a curvature engine is activated. This system uses radiusStrength as a coefficient to simulate acceleration per bar, incrementally increasing velocity over time. The result is a parabolic displacement from the anchor price (the price level at trend change), creating a curved motion path that dynamically widens or tightens as the trend matures.
Mathematically, this acceleration behaves quadratically - each new bar compounds the previous velocity, forming an exponential rate of displacement that resembles curved inertia.
3. Adaptive Smoothing Layer
After the radius curve is applied, a smoothing stage (defined by the smoothness parameter) uses a simple moving average to regulate curve noise. This ensures visual coherence without sacrificing responsiveness, producing flowing arcs rather than jagged band steps.
4. Directional Visualization and Outer Envelope
Directional state (bullish or bearish) dictates both the color gradient and band displacement. An outer envelope is plotted one ATR beyond the curved band, creating a layered trend visualization that shows the extent of volatility expansion.
5. Signal Events and Alerts
Each directional transition triggers a 'BUY' or 'SELL' signal, clearly labeling phase shifts in market structure. Alerts are built in for automation and backtesting.
Interpretation
The Curved Radius Supertrend reframes how traders visualize and confirm trends. Instead of simply plotting a trailing stop, it maps the dynamic curvature of trend development.
Uptrend Phases : The band curves upward with increasing acceleration, reflecting the market’s growing directional velocity. As curvature steepens, conviction strengthens.
Downtrend Phases : The band bends downward in a mirrored acceleration pattern, indicating sustained bearish momentum.
Trend Change Points : When the direction flips and a new anchor point forms, the curve resets - providing a clean, early visual confirmation of structural reversal.
Smoothing and Radius Interplay : A lower radius strength produces a tighter, more reactive curve ideal for scalping or short timeframes. Higher values generate broad, sweeping arcs optimized for swing or positional analysis.
Visually, this curvature system translates market inertia into shape - revealing how trends bend, accelerate, and ultimately exhaust.
Strategy Integration
The Curved Radius Supertrend is versatile enough to integrate seamlessly into multiple trading frameworks:
Trend Following : Use BUY/SELL flips to identify emerging directional bias. Strong curvature continuation confirms sustained momentum.
Momentum Entry Filtering : Combine with oscillators or volume tools to filter entries only when the curve slope accelerates (high momentum conditions).
Pullback and Re-entry Timing : The smooth curvature of the radius band allows traders to identify shallow retracements without premature exits. The band acts as a dynamic, self-adjusting support/resistance arc.
Volatility Compression and Expansion : Flattening curvature indicates volatility compression - a potential pre-breakout zone. Rapid re-steepening signals expansion and directional conviction.
Stop Placement Framework : The curved band can serve as a volatility-adjusted trailing stop. Because the curve reflects acceleration, it adapts naturally to market rhythm - widening during momentum surges and tightening during stagnation.
Technical Implementation Details
Curved Radius Engine : Parabolic acceleration algorithm that applies quadratic velocity based on bar count and radiusStrength.
Anchor Logic : Resets curvature at each trend change, establishing a new reference base for directional acceleration.
Smoothing Layer : SMA-based curve smoothing for noise reduction.
Outer Envelope : ATR-derived band offset visualizing volatility extension.
Directional Coloring : Candle and band coloration tied to current trend state.
Signal Engine : Built-in BUY/SELL markers and alert conditions for automation or script integration.
Optimal Application Parameters
Timeframe Guidance :
1-5 min (Scalping) : 0.08–0.12 radius strength, minimal smoothing for rapid responsiveness.
15 min : 0.12–0.15 radius strength for intraday trends.
1H : 0.15–0.18 radius strength for structured short-term swing setups.
4H : 0.18–0.22 radius strength for macro-trend shaping.
Daily : 0.20–0.25 radius strength for broad directional curves.
Weekly : 0.25–0.30 radius strength for smooth macro-level cycles.
The suggested radius strength ranges provide general structural guidance. Optimal values may vary across assets and volatility regimes, and should be refined through empirical testing to account for instrument-specific behavior and prevailing market conditions.
Asset Guidance :
Cryptocurrency : Higher radius and multiplier values to stabilize high-volatility environments.
Forex : Midrange settings (0.12-0.18) for clean curvature transitions.
Equities : Balanced curvature for trending sectors or momentum rotation setups.
Indices/Futures : Moderate radius values (0.15-0.22) to capture cyclical macro swings.
Performance Characteristics
High Effectiveness :
Trending environments with directional expansion.
Markets exhibiting clean momentum arcs and low structural noise.
Reduced Effectiveness :
Range-bound or low-volatility conditions with repeated false flips.
Ultra-short-term timeframes (<1m) where curvature acceleration overshoots.
Integration Guidelines
Confluence Framework : Combine with structure tools (order blocks, BOS, liquidity zones) for entry validation.
Risk Management : Trail stops along the curved band rather than fixed points to align with adaptive market geometry.
Multi-Timeframe Confirmation : Use higher timeframe curvature as a trend filter and lower timeframe curvature for execution timing.
Curve Compression Awareness : Treat flattening arcs as potential exhaustion zones - ideal for scaling out or reducing exposure.
Disclaimer
The Curved Radius Supertrend is a geometric trend model designed for professional traders and analysts. It is not a predictive system or a guaranteed profit method. Its performance depends on correct parameter calibration and sound risk management. BOSWaves recommends using it as part of a comprehensive analytical framework, incorporating volume, liquidity, and structural context to validate directional signals.
Buysellsignal
Seasonality Heatmap [QuantAlgo]🟢 Overview
The Seasonality Heatmap analyzes years of historical data to reveal which months and weekdays have consistently produced gains or losses, displaying results through color-coded tables with statistical metrics like consistency scores (1-10 rating) and positive occurrence rates. By calculating average returns for each calendar month and day-of-week combination, it identifies recognizable seasonal patterns (such as which months or weekdays tend to rally versus decline) and synthesizes this into actionable buy low/sell high timing possibilities for strategic entries and exits. This helps traders and investors spot high-probability seasonal windows where assets have historically shown strength or weakness, enabling them to align positions with recurring bull and bear market patterns.
🟢 How It Works
1. Monthly Heatmap
How % Return is Calculated:
The indicator fetches monthly closing prices (or Open/High/Low based on user selection) and calculates the percentage change from the previous month:
(Current Month Price - Previous Month Price) / Previous Month Price × 100
Each cell in the heatmap represents one month's return in a specific year, creating a multi-year historical view
Colors indicate performance intensity: greener/brighter shades for higher positive returns, redder/brighter shades for larger negative returns
What Averages Mean:
The "Avg %" row displays the arithmetic mean of all historical returns for each calendar month (e.g., averaging all Januaries together, all Februaries together, etc.)
This metric identifies historically recurring patterns by showing which months have tended to rise or fall on average
Positive averages indicate months that have typically trended upward; negative averages indicate historically weaker months
Example: If April shows +18.56% average, it means April has averaged a 18.56% gain across all years analyzed
What Months Up % Mean:
Shows the percentage of historical occurrences where that month had a positive return (closed higher than the previous month)
Calculated as:
(Number of Months with Positive Returns / Total Months) × 100
Values above 50% indicate the month has been positive more often than negative; below 50% indicates more frequent negative months
Example: If October shows "64%", then 64% of all historical Octobers had positive returns
What Consistency Score Means:
A 1-10 rating that measures how predictable and stable a month's returns have been
Calculated using the coefficient of variation (standard deviation / mean) - lower variation = higher consistency
High scores (8-10, green): The month has shown relatively stable behavior with similar outcomes year-to-year
Medium scores (5-7, gray): Moderate consistency with some variability
Low scores (1-4, red): High variability with unpredictable behavior across different years
Example: A consistency score of 8/10 indicates the month has exhibited recognizable patterns with relatively low deviation
What Best Means:
Shows the highest percentage return achieved for that specific month, along with the year it occurred
Reveals the maximum observed upside and identifies outlier years with exceptional performance
Useful for understanding the range of possible outcomes beyond the average
Example: "Best: 2016: +131.90%" means the strongest January in the dataset was in 2016 with an 131.90% gain
What Worst Means:
Shows the most negative percentage return for that specific month, along with the year it occurred
Reveals maximum observed downside and helps understand the range of historical outcomes
Important for risk assessment even in months with positive averages
Example: "Worst: 2022: -26.86%" means the weakest January in the dataset was in 2022 with a 26.86% loss
2. Day-of-Week Heatmap
How % Return is Calculated:
Calculates the percentage change from the previous day's close to the current day's price (based on user's price source selection)
Returns are aggregated by day of the week within each calendar month (e.g., all Mondays in January, all Tuesdays in January, etc.)
Each cell shows the average performance for that specific day-month combination across all historical data
Formula:
(Current Day Price - Previous Day Close) / Previous Day Close × 100
What Averages Mean:
The "Avg %" row at the bottom aggregates all months together to show the overall average return for each weekday
Identifies broad weekly patterns across the entire dataset
Calculated by summing all daily returns for that weekday across all months and dividing by total observations
Example: If Monday shows +0.04%, Mondays have averaged a 0.04% change across all months in the dataset
What Days Up % Mean:
Shows the percentage of historical occurrences where that weekday had a positive return
Calculated as:
(Number of Positive Days / Total Days Observed) × 100
Values above 50% indicate the day has been positive more often than negative; below 50% indicates more frequent negative days
Example: If Fridays show "54%", then 54% of all Fridays in the dataset had positive returns
What Consistency Score Means:
A 1-10 rating measuring how stable that weekday's performance has been across different months
Based on the coefficient of variation of daily returns for that weekday across all 12 months
High scores (8-10, green): The weekday has shown relatively consistent behavior month-to-month
Medium scores (5-7, gray): Moderate consistency with some month-to-month variation
Low scores (1-4, red): High variability across months, with behavior differing significantly by calendar month
Example: A consistency score of 7/10 for Wednesdays means they have performed with moderate consistency throughout the year
What Best Means:
Shows which calendar month had the strongest average performance for that specific weekday
Identifies favorable day-month combinations based on historical data
Format shows the month abbreviation and the average return achieved
Example: "Best: Oct: +0.20%" means Mondays averaged +0.20% during October months in the dataset
What Worst Means:
Shows which calendar month had the weakest average performance for that specific weekday
Identifies historically challenging day-month combinations
Useful for understanding which month-weekday pairings have shown weaker performance
Example: "Worst: Sep: -0.35%" means Tuesdays averaged -0.35% during September months in the dataset
3. Optimal Timing Table/Summary Table
→ Best Month to BUY: Identifies the month with the lowest average return (most negative or least positive historically), representing periods where prices have historically been relatively lower
Based on the observation that buying during historically weaker months may position for subsequent recovery
Shows the month name, its average return, and color-coded performance
Example: If May shows -0.86% as "Best Month to BUY", it means May has historically averaged -0.86% in the analyzed period
→ Best Month to SELL: Identifies the month with the highest average return (most positive historically), representing periods where prices have historically been relatively higher
Based on historical strength patterns in that month
Example: If July shows +1.42% as "Best Month to SELL", it means July has historically averaged +1.42% gains
→ 2nd Best Month to BUY: The second-lowest performing month based on average returns
Provides an alternative timing option based on historical patterns
Offers flexibility for staged entries or when the primary month doesn't align with strategy
Example: Identifies the next-most favorable historical buying period
→ 2nd Best Month to SELL: The second-highest performing month based on average returns
Provides an alternative exit timing based on historical data
Useful for staged profit-taking or multiple exit opportunities
Identifies the secondary historical strength period
Note: The same logic applies to "Best Day to BUY/SELL" and "2nd Best Day to BUY/SELL" rows, which identify weekdays based on average daily performance across all months. Days with lowest averages are marked as buying opportunities (historically weaker days), while days with highest averages are marked for selling (historically stronger days).
🟢 Examples
Example 1: NVIDIA NASDAQ:NVDA - Strong May Pattern with High Consistency
Analyzing NVIDIA from 2015 onwards, the Monthly Heatmap reveals May averaging +15.84% with 82% of months being positive and a consistency score of 8/10 (green). December shows -1.69% average with only 40% of months positive and a low 1/10 consistency score (red). The Optimal Timing table identifies December as "Best Month to BUY" and May as "Best Month to SELL." A trader recognizes this high-probability May strength pattern and considers entering positions in late December when prices have historically been weaker, then taking profits in May when the seasonal tailwind typically peaks. The high consistency score in May (8/10) provides additional confidence that this pattern has been relatively stable year-over-year.
Example 2: Crypto Market Cap CRYPTOCAP:TOTALES - October Rally Pattern
An investor examining total crypto market capitalization notices September averaging -2.42% with 45% of months positive and 5/10 consistency, while October shows a dramatic shift with +16.69% average, 90% of months positive, and an exceptional 9/10 consistency score (blue). The Day-of-Week heatmap reveals Mondays averaging +0.40% with 54% positive days and 9/10 consistency (blue), while Thursdays show only +0.08% with 1/10 consistency (yellow). The investor uses this multi-layered analysis to develop a strategy: enter crypto positions on Thursdays during late September (combining the historically weak month with the less consistent weekday), then hold through October's historically strong period, considering exits on Mondays when intraweek strength has been most consistent.
Example 3: Solana BINANCE:SOLUSDT - Extreme January Seasonality
A cryptocurrency trader analyzing Solana observes an extraordinary January pattern: +59.57% average return with 60% of months positive and 8/10 consistency (teal), while May shows -9.75% average with only 33% of months positive and 6/10 consistency. August also displays strength at +59.50% average with 7/10 consistency. The Optimal Timing table confirms May as "Best Month to BUY" and January as "Best Month to SELL." The Day-of-Week data shows Sundays averaging +0.77% with 8/10 consistency (teal). The trader develops a seasonal rotation strategy: accumulate SOL positions during May weakness, hold through the historically strong January period (which has shown this extreme pattern with reasonable consistency), and specifically target Sunday exits when the weekday data shows the most recognizable strength pattern.
GRG/RGR Signal, MA, Ranges and PivotsThis indicator is a combination of several indicators.
It is a combination of two of my indicators which I solely use for trading
1. EMA 10-20-50-200, Pivots and Previous Day/Week/Month range
2. 3/4-Bar GRG / RGR Pattern (Conditional 4th Candle)
You can use them individually if you already have some of them or just use this one. Belive me when I say, this is all you need, along with market structure knowlege and even if you don’t have that, this indicator has been doing wonders for me. This is all I use. I do not use anything else.
**Note - Do checkout the indicators individually as I have added valuable information in the comment section.
It contains the following,
1. 10 EMA/SMA - configurable
2. 20 EMA/SMA - configurable
3. 50 EMA/SMA - configurable
4. 200 EMA/SMA - configurable
5. Previous Day's Range - configurable
6. Previous Week's Range - configurable
7. Previous Month's Range - configurable
8. Pivots - configurable
9. Buy Sell Signal - configurable
The Moving Averages
It is a very important combination and using it correctly with price action will strengthen your entries and exits.
The ema's or sma's added are the most powerful ones and they do definitely act as support and resistance.
The Daily/Weekly/Monthly Ranges
The Daily/Weekly/Monthly ranges are extremely important for any trader and should be used for targets and reversals.
Pivots
Pivots can provide support and resistance level. R5 and S5 can be used to check for over stretched conditions. You can customise them however you like. It is a full pivot indicator.
It is defaulted to show R5 and S5 only to reduce noise in the chart but it can be customised.
The 3/4 RGR or GRG Signal Generator
Combined with a 3/4 RGR or GRG setup can be all a trader needs.
You don't need complex strategies and SMC concepts to trade. Simple EMAs, ranges and RGR/GRG setup is the most winning combination.
This indicator can be used to identify the Green-Red-Green or Red-Green-Red pattern.
It is a price action indicator where a price action which identifies the defeat of buyers and sellers.
If the buyers comprehensively defeat the sellers then the price moves up and if the sellers defeat the buyers then the price moves down.
In my trading experience this is what defines the price movement.
It is a 3 or 4 candle pattern, beyond that i.e, 5 or more candles could mean a very sideways market and unnecessary signal generation.
How does it work?
Upside/Green signal
1. Say candle 1 is Green, which means buyers stepped in, then candle 2 is Red or a Doji, that means sellers brought the price down. Then if candle 3 is forming to be Green and breaks the closing of the 1st candle and opening of the 2nd candle, then a green arrow will appear and that is the place where you want to take your trade.
2. Here the buyers defeated the sellers.
3. Sometimes candle 3 falls short but candle 4 breaks candle 1's closing and candle 2's opening price. We can enter on candle 4.
4. Important - We need to enter the trade as soon as the price moves above the candle 1 and 2's body and should not wait for the 3rd or 4th candle to close. Ignore wicks.
5. But for a more optimised entry I have added an option to use candle’s highs and lows instead of open and close. This reduces lot of noise and provides us with more precise entry. This setting is turned on by default.
6. I have restricted it to 4 candles and that is all that is needed. More than that is a longer sideways market.
7. I call it the +-+ or GRG pattern or Green-Red-Green or Buyer-Seller-Buyer or Seller defeated or just Buyer pattern.
8. Stop loss can be candle 2's mid for safe traders (that includes me) or candle 2's body low for risky traders.
9. Back testing suggests that body low will be useless and result in more points in loss because for the bigger move this point will not be touched, so why not get out faster.
Downside/Red signal
1. Say candle 1 is Red, which means sellers stepped in, then candle 2 is Green or a Doji, that means buyers took the price up. Then if candle 3 is forming to be Red and breaks the closing of the 1st candle and opening of the 2nd candle then a Red arrow will appear and that is the place where you want to take your trade.
2. Sometimes candle 3 falls short but candle 4 breaks candle 1's closing and candle 2's opening price. We can enter on candle 4.
3. We need to enter the trade as soon as the price moves below the candle 1 and 2's body and should not wait for the 3rd or 4th candle to close.
4. But for a more optimised entry I have added an option to use candle’s highs and lows instead of open and close. This reduces lot of noise and provides us with more precise entry. This setting is turned on by default.
5. I have restricted it to 4 candles and that is all that is needed. More than that is a longer sideways market.
6. I call it the -+- or RGR pattern or Red-Green-Red or Seller-Buyer-Seller or Buyer defeated or just Seller pattern.
7. Stop loss can be candle 2's mid for safe traders ( that includes me) or candle 2's body high for risky traders.
8. Back testing suggests that body high will be useless and result in more points in loss because for the bigger move this point will not be touched, so why not get out faster.
Combining Indicators and Signal
Combining these indicators with GRG/RGR signal can be very powerful and can provide big moves.
1. MA crossover and Signal - This is very powerful and provides a very big move. Trades can be held for longer. If after taking the trade we notice that the MA crossover has happened then trades can be held for higher targets.
2. Pivots and Signal - Pivots and add a support or resistance point. Take profits on these points. R5/S5 are over streched conditions so we can start looking for reversal signals and ignore other signals
3. Intraday Range - first 1, 5, 15 min of the day - Sideways days is when price will stay in these ranges. You can take profits at these ranges or if the range is broken and we get a signal, then it can mean that the direction will be sustained.
4. Previous Day/Week/Month Ranges - These can be used as Take Profit points if the price is moving towards them after getting the signal. If the range is broken and we get a signal then it can be a strong signal. They can also be used as reversal points if a strong signal is generated.
Important Settings
1. Include 4th Candle Confirmation - You can enable or disable the 4th candle signal to avoid the noise, but at times I have noticed that the 4th candle gives a very strong signal or I can say that the strong signal falls on the 4th candle. This is mostly a coincidence.
2. Bars to check (default 10) - You can also configure how many previous bars should the signal be generated for. 10 to 30 is good enough. To backtest increase it to 2000 or 5000 for example.
3. Use Candle High/Low for confirmation instead of Candle Open/Close - More optimized entry and noise reduction. This option is now defaulted to false.
4. Show Green-Red-Green (bull) signals - Show only bull entries. Useful when I have a predefined view i.e, I know market is going to go up today.
5. Show Red-Green-Red (bear) signals - Show only bear entries. Useful when I have a predefined view i.e, I know market is going to go down today.
6. 3rd candle should be a Strong candle before considering 4th candle - This will enforce additional logic in 4 candle setup that the 3rd candle is the candle in our direction of breakout. This means something like GRGG is mandatory, which is still the default behaviour. If disabled, the 3rd candle can be any candle and 4th candle will act as our breakout candle. This behaviour has led to breakouts and breakdowns as times, hence I added this as a separate feature. Vice-versa for a RGGR.
For a 4 candle setup till now we were expecting GRGG or RGRR but we can let the system ignore the 3rd candle completely if needed.
This will result in additional signals.
7. Three intraday ranges added for index and stock traders - 1 min, 5 min and 15 min ranges will be displayed. These are disabled by default except 15 min. These are very important ranges and in sideways days the price will usually move within the 15 min. A breakout of this range and a positive signal can be a very powerful setup.
Safe traders can avoid taking a trade in this range as it can lead to fakeouts.
The line style, width, color and opacity are configurable.
Pointers/Golden Rules
1. If after taking the trade, the next candle moves in your direction and closes strong bullish or bearish, then move SL to break even and after that you can trail it.
2. If a upside trade hits SL and immediately a down side trade signal is generated on the next candle then take it. Vice versa is true.
3. Trades need to be taken on previous 2 candle's body high or low combined and not the wicks.
4. The most losses a trader takes is on a sideways day and because in our strategy the stop loss is so small that even on a sideways day we'll get out with a little profit or worst break even.
5. Hold trades for longer targets and don't panic.
6. If last 3-4 days have been sideways then there is a good probability that today will be trending so we can hold our trade for longer targets. Inverse is true when the market has been trending for 2-3 days then volatility followed by sideways is coming (DOW theory). Target to hold the trade for whole day and not exit till the day closes.
7. In general avoid trading in the middle of the day for index and stocks. Divide the day into 3 parts and avoid the middle.
8. Use Support/Resistance, 10, 20, 50, 200 EMA/SMA, Gaps, Whole/Round numbers(very imp) for identifying targets.
9. Trail your SL.
10. For indexes I would use 5 min and 15 min timeframe and at times 10 mins.
11. For commodities and crypto we can use higher timeframe as well. Look for signals during volatile time durations and avoid trading the whole day. Signal usually gives good targets on those times.
12. If a GRG or RGR pattern appears on a daily timeframe then this is our time to go big.
13. Minimum Risk to Reward should be 1:2 and for longer targets can be 1:4 to 1:10.
14. Trade with small lot size. Money management will happen automatically.
15. With small lot size and correct Risk-Reward we can be very profitable. Don't trade with big lot size.
16. Stay in the market for longer and collect points not money.
17. Very imp - Watch market and learn to generate a market view.
18. Very imp - Only 3 type of candles are needed in trading -
Strong Bullish (Big Green candle), Strong Bearish (Big Red candle),
Hammer (it is Strong Bullish), Inverse Hammer (it is Strong Bearish)
and Doji (indecision or confusion).
If on daily timeframe I see Strong Bullish candle previous day then I am biased to the upside the next day, if I see Strong Bearish candle the previous day then I am biased to the downside the next day, if I see Doji on the previous day then I am cautious the next day, if there are back to back Dojis forming in daily or weekly then I am preparing for big move so time to go big once I get the signal.
19. Most Important Candlestick pattern - Bullish and Bearish Engulfing
20. The only Chart patterns I need -
a) Falling Wedge/Channel Bullish Pattern Uptrend or Bull Flag - Buying - Forming over a couple days for intraday and forming over a couple of weeks for swing
b) Falling Wedge/Channel Bullish Pattern Downtrend or Falling Channel - Buying
c) Rising Wedge Bearish Pattern Uptrend or Rising Channel - Selling
d) Rising Wedge Bearish Pattern Downtrend or Bear flag - Selling
e) Head and Shoulder - Over a longer period not for intraday. In 15 min takes few days and for swing 1hr or 4h or daily can take few days
f) M and W pattern - Reversal Patterns - They form within the above 4 patterns, usually resulting in the break of trend line
21. How Gaps work -
a) Small Gap up in Uptrend - Market can fill the gap and reverse. The perception is that people are buying. If previous day candle was Strong Bullish then market view is up.
b) Big Gap up in Uptrend - Not news driven - Profit booking will come but may not fill the entire gap
c) Big Gap up in Uptrend - News driven, war related, tax, interest rate - Market can keep going up without stopping.
c) Flat opening in Uptrend - Big chance of market going up. If previous day candle was Strong Bullish then view is upwards, if it was Doji then still upwards.
d) Gap down in Uptrend - Market is surprised. After going down initially it can go up
e) Small Gap down in Downtrend - Market can fill the gap and keep moving down. If previous day candle was Strong Bearish then view is still down.
f) Flat opening in Downtrend - View is down, short today.
g) Big Gap down in Downtrend - Profit booking and foolish buying will come but market view is still down.
h) Gap down with News - Volatility, sideways then down.
i) Gap Up in Downtrend - Can move up - Price can move up during 2/3rd of the day and End of the day revert and close in red.
22. Go big on bearish days for option traders. Puts are better bought and Calls are better sold.
23. Cluster of green signals can lead to bigger move on the upside and vice versa for red signals.
24. Most of this is what I learned from successful traders (from the top 2%) only the indicator is mine.
Zay Gwet AlertEMA 9, VWAP and ORB 15 minutes alert in Burmese. When the market across the EMA 9 will give alert to buy or sell. And when the market across the VWAP and ORB 15 will alert as well. Especially for Burmese community as it is in Burmese language.
Machine Learning Price Predictor: Ridge AR [Bitwardex]🔹Machine Learning Price Predictor: Ridge AR is a research-oriented indicator demonstrating the use of Regularized AutoRegression (Ridge AR) for short-term price forecasting.
The model combines autoregressive structure with Ridge regularization , providing stability under noisy or volatile market conditions.
The latest version introduces Bull and Bear signals , visually representing the current momentum phase and model direction directly on the chart.
Unlike traditional linear regression, Ridge AR minimizes overfitting, stabilizes coefficient dynamics, and enhances predictive consistency in correlated datasets.
The script plots:
Fit Line — in-sample fitted data;
Forecast Line — out-of-sample projection;
Trend Segments — color-coded bullish/bearish sections;
Bull/Bear Labels 🐂🐻 — dynamic visual signals showing directional bias.
Designed for researchers, students, and developers, this tool helps explore regularized time-series forecasting in Pine Script™.
🧩 Ridge AR Settings
Training Window — number of bars used for model training;
Forecast Horizon — forecast length (bars ahead);
AR Order — number of lags used as features;
Ridge Strength (λ) — regularization coefficient;
Damping Factor — exponential trend decay rate;
Trend Length — period for trend/volatility estimation;
Momentum Weight — strength of the recent move;
Mean Reversion — pullback intensity toward the mean.
🧮 Data Processing
Prefilter:
None — raw close price;
EMA — exponential smoothing;
SuperSmoother — Ehlers filter for noise reduction.
EMA Length, SuperSmoother Length — smoothing parameters.
🖥️ Display Settings
Update Mode:
Lock — static model;
Update Once Reached — rebuild after forecast horizon;
Continuous — update every bar.
Forecast Color — projection line color;
Bullish/Bearish Colors — colors for trend segments.
🐂🐻 Bull/Bear Signal System
The Bull/Bear Signal System adds directional visual cues to highlight local momentum shifts and model-based trend confirmation.
Bull (🐂) — appears when upward momentum is confirmed (momentum > 0) .
Displayed below the bar, colored with Bullish Color.
Bear (🐻) — appears when downward momentum is dominant (momentum < 0) .
Displayed above the bar, colored with Bearish Color.
Signals are generated during model recalculations or when the directional bias changes in Continuous mode.
These visual markers are analytical aids , not trading triggers.
🧠 Core Algorithmic Components
Regularized AutoRegression (Ridge AR):
Solves: (X′X+λI)−1X′y
to derive stable regression coefficients.
Matrix and Pseudoinverse Operations — implemented natively in Pine Script™.
Prefiltering (EMA / Ehlers SuperSmoother) — stabilizes noisy data.
Forecast Dynamics — integrates damping, momentum, and mean reversion.
Trend Visualization — color-coded bullish/bearish line segments.
Bull/Bear Signal Engine — visualizes real-time impulse direction.
📊 Applications
Academic and educational purposes;
Demonstration of Ridge Regression and AR models;
Analysis of bull/bear market phase transitions;
Visualization of time-series dependencies.
⚠️ Disclaimer
This script is provided for educational and research purposes only.
It does not provide trading or investment advice.
The author assumes no liability for financial losses resulting from its use.
Use responsibly and at your own risk.
Volume-Confirmed Reversal Engine [AlgoPoint]Volume-Confirmed Reversal Engine v2.0
Overview
A price pattern alone is not enough to signal a high-probability reversal. True market turning points—moments of capitulation or euphoria—are almost always confirmed by a significant spike in volume.
The Volume-Confirmed Reversal Engine is designed to identify these exact moments. It filters out low-conviction price movements and focuses only on reversal patterns that are backed by meaningful volume activity.
How It Works
The indicator's logic is based on a sequential confirmation process:
- High-Volume Anchor Candle: The engine first scans for an "Anchor Candle"—a candle that makes a new high or low over a user-defined look_back period. Critically, this candle's volume must also be significantly higher than the recent average. Low-volume breakouts are ignored.
- Setup Activation & Visualization: When a valid Anchor Candle is detected, the indicator enters a "setup" phase. It visually marks this on your chart by drawing a Setup Box around the high and low of the Anchor Candle, extending it forward for the duration of the confirm_in window.
- Confirmation & Signal: A final signal is only triggered if the price breaks out of the opposite side of the Setup Box within the confirmation window. This action, combined with the initial volume spike, confirms the reversal.
- Setup Box Visualization: See exactly which candle the indicator is watching and the key price levels (the box boundaries) that need to be broken for a signal.
Signal Strength Score (1-4): Every signal now comes with a score, providing insight into its quality based on four factors:
- The base price pattern is met.
- The initial Anchor Candle had high volume.
- The final Confirmation Candle also had high volume.
- The signal is aligned with the long-term macro trend (e.g., a BUY signal above the 200 EMA).
Status Dashboard: A simple panel on your chart tells you what the indicator is doing in real-time ("Scanning for Setups," "Watching Bullish Setup," etc.) and displays a countdown for how many bars are left for a confirmation.
How to Interpret & Use
- The Box: When a colored box appears, it's an early warning that a reversal setup is active. Watch the boundaries of the box for a potential breakout.
- The Score: Use the score to gauge the quality of a signal. A 3/4 or 4/4 score represents a very high-conviction setup where multiple technical factors are aligned.
- The Dashboard: Use the panel to understand the indicator's current state and the time-sensitivity of an active setup.
- The BUY/SELL Labels: These are the final, actionable triggers, appearing only after the full price and volume confirmation process is complete.
TGFA Flexible Alerts Multi-MA CrossoversTGFA Flexible Alerts, Multi-MA Crossovers
Description
Flexible MA crossovers with BUY/SELL alerts, customizable candle colors, and an info box for ATR/volatility insights. Supports EMA/SMA/HMA/VWAP on any chart.
Overview
TGFA Flexible Alerts is a versatile Pine Script indicator for traders seeking customizable moving average (MA) crossovers, visual signals, and quick-reference metrics. It overlays crossover lines (e.g., fast EMA over slow SMA), generates BUY/SELL labels and alerts, colors candles based on themes, and includes an optional info box with ATR bands, support/resistance, and trend projections. Built for any symbol and timeframe (optimized for 1H intraday), it auto-detects Heikin Ashi charts and handles mixed MA types like responsive HMA with lagging EMAs. All logic uses built-in TA functions for reliability—no repainting on confirmed bars.
Key Features
MA Crossover Engine: Configurable lines (EMA, SMA, HMA, VWAP) with dynamic colors (HMA tints green/red based on slope). Enable/disable via inputs.
Invert Signals Toggle: Flips BUY/SELL logic for mixed MA setups (e.g., HMA as fast line over EMA).
Reasoning: Traditional crossovers assume a fast line (low lag) crossing above a slow line (high lag) for buys. HMA's hull design makes it ultra-responsive, so it may "lead" too aggressively—causing premature signals. Inverting aligns it with user intuition (e.g., HMA dipping below then recovering signals strength), reducing false positives in trending markets. Test on your pairs!
Visual Alerts: BUY/SELL labels at crossover price (with optional price display and offset adjustment).
Single MA Overlays: Independent plots for EMA/SMA/HMA/VWAP (length 0 to hide).
Info Box: Real-time table with current price, ±1/2 ATR bands, median price (over lookback), trend (SMA50 slope), volatility % (ATR normalized), support/resistance (recent highs/lows), and reversal projections (tied to SMA50 pivot for up/down bias).
Candle Coloring: 20+ themes (dark/light canvases) for bull/bear/reversal/low-volume bars—e.g., Emerald Blaze greens uptrends, dims on low vol. Toggle off for no changes.
Chart Source Flexibility: Auto-switches to Heikin Ashi if detected; manual override for Regular/HA.
Alerts fire on crossovers/crossunders (custom messages with ticker/interval). Open-source for forking.
How to Use
Add to Chart: Search in TradingView's public library, apply to any symbol (e.g., stocks, forex). Best on 1H for intraday, but works on daily/weekly too.
Setup Crossovers: Choose Line 1/2 types/lengths (e.g., HMA 9 over SMA 20). Enable "Invert Signals" if using HMA—prevents lag mismatches in volatile assets.
Alerts & Labels: Toggle labels for visuals; set TradingView alerts on "Buy"/"Sell" conditions. Use offset for crowded charts.
Info Box Insights: Enable for quick scans—e.g., enter long near support if trend is bullish and price > median. Adjust ATR length (default 14) for sensitivity.
Candle Themes: Pick a scheme (e.g., Neon Pulse for dark mode); it overrides bar colors without altering data.
Customization Tip: For HMA-heavy setups, invert + short lengths (5-9) catch turns early; pair with volume filter in alerts.
Limitations & Disclaimers - Designed for overlay on price charts; may overlap in tight ranges—adjust transparency via styles.
HMA can repaint intra-bar; signals confirm on close. Not back tested for all assets—validate with strategy tester.
Info box projections use SMA(50) as a trend pivot (same for up/down as reference); customize via code for advanced calcs. Candle colors are cosmetic only.
This is an analysis tool, not advice. Trading involves risk; combine with fundamentals/news. Past performance isn't indicative of future results. No liability for losses.
I'm still a newbie, so feedback encouraged!
Thank you!!
ThisGirl
3/4-Bar GRG / RGR Pattern (Conditional 4th Candle)This indicator can be used to identify the Green-Red-Green or Red-Green-Red pattern.
It is a price action indicator where a price action which identifies the defeat of buyers and sellers.
If the buyers comprehensively defeat the sellers then the price moves up and if the sellers defeat the buyers then the price moves down.
In my trading experience this is what defines the price movement.
It is a 3 or 4 candle pattern, beyond that i.e, 5 or more candles could mean a very sideways market and unnecessary signal generation.
How does it work?
Upside/Green signal
Say candle 1 is Green, which means buyers stepped in, then candle 2 is Red or a Doji, that means sellers brought the price down. Then if candle 3 is forming to be Green and breaks the closing of the 1st candle and opening of the 2nd candle, then a green arrow will appear and that is the place where you want to take your trade.
Here the buyers defeated the sellers.
Sometimes candle 3 falls short but candle 4 breaks candle 1's closing and candle 2's opening price. We can enter on candle 4.
Important - We need to enter the trade as soon as the price moves above the candle 1 and 2's body and should not wait for the 3rd or 4th candle to close. Ignore wicks.
I have restricted it to 4 candles and that is all that is needed. More than that is a longer sideways market.
I call it the +-+ or GRG pattern.
Stop loss can be candle 2's mid for safe traders (that includes me) or candle 2's body low for risky traders.
Back testing suggests that body low will be useless and result in more points in loss because for the bigger move this point will not be touched, so why not get out faster.
Downside/Red signal
Say candle 1 is Red, which means sellers stepped in, then candle 2 is Green or a Doji, that means buyers took the price up. Then if candle 3 is forming to be Red and breaks the closing of the 1st candle and opening of the 2nd candle then a Red arrow will appear and that is the place where you want to take your trade.
Sometimes candle 3 falls short but candle 4 breaks candle 1's closing and candle 2's opening price. We can enter on candle 4.
We need to enter the trade as soon as the price moves below the candle 1 and 2's body and should not wait for the 3rd or 4th candle to close.
I have restricted it to 4 candles and that is all that is needed. More than that is a longer sideways market.
I call it the -+- or RGR pattern.
Stop loss can be candle 2's mid for safe traders ( that includes me) or candle 2's body high for risky traders.
Back testing suggests that body high will be useless and result in more points in loss because for the bigger move this point will not be touched, so why not get out faster.
Important Settings
You can enable or disable the 4th candle signal to avoid the noise, but at times I have noticed that the 4th candle gives a very strong signal or I can say that the strong signal falls on the 4th candle. This is mostly a coincidence.
You can also configure how many previous bars should the signal be generated for. 10 to 30 is good enough. To backtest increase it to 2000 or 5000 for example.
Rest are self explanatory.
Pointers
If after taking the trade, the next candle moves in your direction and closes strong bullish or bearish, then move SL to break even and after that you can trail it.
If a upside trade hits SL and immediately a down side trade signal is generated on the next candle then take it. Vice versa is true.
Trades need to be taken on previous 2 candle's body high or low combined and not the wicks.
The most losses a trader takes is on a sideways day and because in our strategy the stop loss is so small that even on a sideways day we'll get out with a little profit or worst break even.
Hold targets for longer targets and don't panic.
If last 3-4 days have been sideways then there is a good probability that day will be trending so we can hold our trade for longer targets. Target to hold the trade for whole day and not exit till the day closes.
In general avoid trading in the middle of the day for index and stocks. Divide the day into 3 parts and avoid the middle.
Use Support/Resistance, 10, 20, 50, 200 EMA/SMA, Gaps, Whole/Round numbers(very imp) for identifying targets.
Trail your SL.
For indexes I would use 5 min and 15 min timeframe.
For commodities and crypto we can use higher timeframe as well. Look for signals during volatile time durations and avoid trading the whole day. Signal usually gives good targets on those times.
If a GRG or RGR pattern appears on a daily timeframe then this is our time to go big.
Minimum Risk to Reward should be 1:2 and for longer targets can be 1:4 to 1:10.
Trade with small lot size. Money management will happen automatically.
With small lot size and correct Risk-Re ward we can be very profitable. Don't trade with big lot size.
Stay in the market for longer and collect points not money.
Very imp - Watch market and learn to generate a market view.
Very imp - Only 4 candles are needed in trading - strong bullish, strong bearish, hammer, inverse hammer and doji.
Go big on bearish days for option traders. Puts are better bought and Calls are better sold.
Cluster of green signals can lead to bigger move on the upside and vice versa for red signals.
Most of this is what I learned from successful traders (from the top 2%) only the indicator is mine.
FibPulse144 [CHE] FibPulse144 — ADX-gated 13/21 crossover with 144-trend regime and closed-bar labels
Summary
FibPulse144 combines a fast moving-average crossover with a 144-period trend regime and an ADX strength gate. Signals are confirmed on closed bars only and drawn as labels on the price chart, while an ADX line in a separate pane provides context. Color gradients are derived from normalized ADX, so visual intensity reflects trend strength without changing the underlying logic. The approach reduces false flips during weak conditions and keeps entries aligned with the dominant trend.
Motivation: Why this design?
Traditional crossover signals can flip repeatedly during sideways phases and often trigger against the higher-time regime. By requiring alignment with a slower trend proxy and by gating entries through a rising ADX condition, FibPulse144 favors structurally cleaner transitions. Gradient coloring communicates strength visually, helping users temper aggressiveness without additional indicators.
What’s different vs. standard approaches?
Baseline: Classic dual-MA crossover with unconditional signals.
Architecture differences:
Two-bar regime confirmation against a 144-period trend average.
Pending-signal logic that waits for regime and optional ADX approval.
ADX strength gate using the prior reading relative to a user threshold and earlier value.
Gradient colors scaled by an ADX window with gamma controls.
Price-chart labels enforced via overlay on an otherwise pane-based indicator.
Practical effect: Fewer signals during weak or choppy conditions, labels that appear only after a bar closes, and color intensity that mirrors trend quality.
How it works (technical)
The script computes fast and slow moving averages using the selected method and lengths. A separate 144-length average defines the regime using a two-bar confirmation above or below it. Crossovers are observed on the previous bar to avoid intrabar ambiguity; once a prior crossover is detected, it is stored as pending. A pending long requires regime alignment and, if enabled, an ADX condition based on the previous reading being above the threshold and greater than an earlier reading. The state machine holds neutral, long, or short until an exit condition or ADX reset is met. ADX is normalized within a user window, scaled with gamma, and mapped to up and down color palettes to render gradients. Labels on the price panel are forced to overlay, while the ADX line and threshold guide remain in a separate pane.
Parameter Guide
Source — Input data for all calculations. Default: close. Tip: keep consistent with your chart.
MA Type — EMA or SMA. Default: EMA. EMA reacts faster; SMA is smoother.
Fast / Slow — Fast and slow lengths for crossover. Defaults: 13 and 21. Shorter reacts earlier; longer reduces noise.
Trend — Regime average length. Default: 144. Larger values stabilize regime; smaller values increase sensitivity.
Use 144 as trend filter — Enables regime gating. Default: true. Disable to allow raw crossovers.
Use ADX filter — Requires ADX strength. Default: true. Disable to allow signals regardless of strength.
ADX Len — DI and ADX smoothing length. Default: 14. Higher values smooth strength; lower values react faster.
ADX Thresh — Minimum strength for signals. Default: 25. Raise to reduce flips; lower to capture earlier moves.
Entry/Exit labels (price) — Price-panel labels on state changes. Default: true.
Signal labels in ADX pane — Small markers at the ADX value on entries. Default: true.
Label size — tiny, small, normal, large. Default: normal.
Enable barcolor — Optional candle tint by regime and gradient. Default: false.
Enable gradient — Turns on ADX-driven color blending. Default: true.
Window — Bars used to normalize ADX for colors. Default: 100; minimum: 5.
Gamma bars / Gamma plots — Nonlinear scaling for bar and line intensities. Default: 0.80; between 0.30 and 2.00.
Gradient transp (0–90) — Transparency for gradient colors. Default: 0.
MA fill transparency (0–100) — Fill opacity between fast and slow lines. Default: 65.
Palette colors (Up/Down) — Dark and neon endpoints for up and down gradients. Defaults as in the code.
Reading & Interpretation
Fast/Slow lines: When the fast line is above the slow line, the line and fill use the long palette; when below, the short palette is used.
Trend MA (144): Neutral gray line indicating the regime boundary.
Labels on price: “LONG” appears when the state turns long; “SHORT” when it turns short. Labels appear only after the bar closes and conditions are satisfied.
ADX pane: The ADX line shows current strength. The dotted threshold line is the user level for gating. Optional small markers indicate entries at the ADX value.
Bar colors (optional): Candle tint intensity reflects normalized ADX. Higher intensity implies stronger conditions.
Practical Workflows & Combinations
Trend following: Use long entries when fast crosses above slow and price has held above the trend average for two bars, with ADX above threshold. Mirror this for shorts below the trend average.
Exits and stops: Consider reducing exposure when price closes on the opposite side of the trend average for two consecutive bars or when ADX fades below the threshold if the ADX filter is enabled.
Structure confirmation: Combine with higher-timeframe structure such as swing highs and lows or a simple market structure overlay for confirmation.
Multi-asset/Multi-TF: Works across liquid assets. For lower timeframes, consider a slightly lower ADX threshold; for higher timeframes, maintain or raise the threshold to avoid unnecessary flips.
Behavior, Constraints & Performance
Repaint/confirmation: Signals are based on previous-bar crossovers and are confirmed on bar close. No higher-timeframe or security calls are used. Intrabar markers are not relied upon.
Resources: The script declares `max_bars_back` of 2000, uses no loops or arrays, and employs persistent variables for pending signals and state.
Known limits: Crossover systems can lag after sudden reversals. During tight ranges, disabling the ADX filter may increase flips; keeping it enabled may skip early transitions.
Sensible Defaults & Quick Tuning
Starting point: EMA, 13/21/144, ADX length 14, ADX threshold 25, gradients on, barcolor off.
Too many flips: Increase ADX threshold or length; increase trend length; consider SMA instead of EMA.
Too sluggish: Lower ADX threshold slightly; shorten fast and slow lengths; reduce the trend length.
Colors overpowering: Increase gradient transparency or reduce gamma values toward one.
What this indicator is—and isn’t
This is a visualization and signal layer that combines crossover, regime, and strength gating. It does not predict future movements, manage risk, or execute trades. Use it alongside clear structure, risk controls, and a defined position management plan.
Disclaimer
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts.
Best regards and happy trading
Chervolino
Adaptive HMA SignalsAdaptive HMA Signals
This indicator pairs nicely with the Contrarian 100 MA and can be located here:
Overview
The "Adaptive HMA Signals" indicator is a sophisticated technical analysis tool designed for traders aiming to capture trend changes with precision. By leveraging Hull Moving Averages (HMAs) that adapt dynamically to market conditions (volatility or volume), this indicator generates actionable buy and sell signals based on price interactions with adaptive HMAs and slope analysis. Optimized for daily charts, it is highly customizable and suitable for trading forex, stocks, cryptocurrencies, or other assets. The indicator is ideal for swing traders and trend followers seeking to time entries and exits effectively.
How It Works
The indicator uses two adaptive HMAs—a primary HMA and a minor HMA—whose periods adjust dynamically based on user-selected market conditions (volatility via ATR or volume via RSI). It calculates the slope of the primary HMA to identify trend strength and generates exit signals when the price crosses the minor HMA under specific slope conditions. Signals are plotted as circles above or below the price, with inverted colors (white for buy, blue for sell) to enhance visibility on any chart background.
Key Components
Adaptive HMAs: Two HMAs (primary and minor) with dynamic periods that adjust based on volatility (ATR-based) or volume (RSI-based) conditions. Periods range between user-defined minimum and maximum values, adapting by a fixed percentage (3.141%).
Slope Analysis: Calculates the slope of the primary HMA over a 34-bar period to gauge trend direction and strength, normalized using market range data.
Signal Logic: Generates buy signals (white circles) when the price falls below the minor HMA with a flat or declining slope (indicating a potential trend reversal) and sell signals (blue circles) when the price rises above the minor HMA with a flat or rising slope.
Signal Visualization: Plots signals at an offset based on ATR for clarity, using semi-transparent colors to avoid chart clutter.
Mathematical Concepts
Dynamic Period Adjustment:
Primary HMA period adjusts between minLength (default: 144) and maxLength (default: 200).
Minor HMA period adjusts between minorMin (default: 55) and minorMax (default: 89).
Periods decrease by 3.141% under high volatility/volume and increase otherwise.
HMA Calculation:
Uses the Hull Moving Average formula: WMA(2 * WMA(src, length/2) - WMA(src, length), sqrt(length)).
Provides a smoother, faster-responding moving average compared to traditional MAs.
Slope Calculation:
Computes the slope of the primary HMA using a 34-bar period, normalized by the market range (highest high - lowest low over 34 bars).
Slope angle is converted to degrees using arccosine for intuitive trend strength interpretation.
Signal Conditions:
Buy: Slope ≥ 17° (flat or rising), price < minor HMA, low volatility/volume.
Sell: Slope ≤ -17° (flat or declining), price > minor HMA, low volatility/volume.
Signals are triggered only on confirmed bars to avoid repainting.
Entry and Exit Rules
Buy Signal (White Circle): Triggered when the price crosses below the minor HMA, the slope of the primary HMA is flat or rising (≥17°), and volatility/volume is low. The signal appears as a white circle above the price bar, offset by 0.72 * ATR(5).
Sell Signal (Blue Circle): Triggered when the price crosses above the minor HMA, the slope of the primary HMA is flat or declining (≤-17°), and volatility/volume is low. The signal appears as a blue circle below the price bar, offset by 0.72 * ATR(5).
Exit Rules: Exit a buy position on a sell signal and vice versa. Combine with other tools (e.g., support/resistance, RSI) for additional confirmation. Always apply proper risk management.
Recommended Usage
The "Adaptive HMA Signals" indicator is optimized for daily charts but can be adapted to other timeframes (e.g., 1H, 4H) with adjustments to period lengths. It performs best in trending or range-bound markets with clear reversal points. Traders should:
Backtest the indicator on their chosen asset and timeframe to validate signal reliability.
Combine with other technical tools (e.g., trendlines, Fibonacci retracements) for stronger trade setups.
Adjust minLength, maxLength, minorMin, and minorMax based on market volatility and timeframe.
Use the Charger input to toggle between volatility (ATR) and volume (RSI) adaptation for optimal performance in specific market conditions.
Customization Options
Source: Choose the price source (default: close).
Show Signals: Toggle visibility of buy/sell signals (default: true).
Charger: Select adaptation trigger—Volatility (ATR-based) or Volume (RSI-based) (default: Volatility).
Main HMA Periods: Set minimum (default: 144) and maximum (default: 200) periods for the primary HMA.
Minor HMA Periods: Set minimum (default: 55) and maximum (default: 89) periods for the minor HMA.
Slope Period: Fixed at 34 bars for slope calculation, adjustable via code if needed.
Why Use This Indicator?
The "Adaptive HMA Signals" indicator combines the responsiveness of HMAs with dynamic adaptation to market conditions, offering a robust tool for identifying trend reversals. Its clear visual signals, customizable periods, and adaptive logic make it versatile for various markets and trading styles. Whether you’re a beginner or an experienced trader, this indicator enhances your ability to time entries and exits with precision.
Tips for Users
Test the indicator thoroughly on your chosen market and timeframe to optimize settings (e.g., adjust period lengths for non-daily charts).
Use in conjunction with price action or other indicators (e.g., RSI, MACD) for stronger trade confirmation.
Monitor volatility/volume conditions to ensure the Charger setting aligns with market dynamics.
Ensure your chart timeframe aligns with the selected period lengths for accurate signal generation.
Apply strict risk management to protect against false signals in choppy markets.
Happy trading with the Adaptive HMA Signals indicator! Share your feedback and strategies in the TradingView community!
Contrarian Period High & LowContrarian Period High & Low
This indicator pairs nicely with the Contrarian 100 MA and can be located here:
Overview
The "Contrarian Period High & Low" indicator is a powerful technical analysis tool designed for traders seeking to identify key support and resistance levels and capitalize on contrarian trading opportunities. By tracking the highest highs and lowest lows over user-defined periods (Daily, Weekly, or Monthly), this indicator plots historical levels and generates buy and sell signals when price breaks these levels in a contrarian manner. A unique blue dot counter and action table enhance decision-making, making it ideal for swing traders, trend followers, and those trading forex, stocks, or cryptocurrencies. Optimized for daily charts, it can be adapted to other timeframes with proper testing.
How It Works
The indicator identifies the highest high and lowest low within a specified period (e.g., daily, weekly, or monthly) and draws horizontal lines for the previous period’s extremes on the chart. These levels act as dynamic support and resistance zones. Contrarian signals are generated when the price crosses below the previous period’s low (buy signal) or above the previous period’s high (sell signal), indicating potential reversals. A blue dot counter tracks consecutive buy signals, and a table displays the count and recommended action, helping traders decide whether to hold or flip positions.
Key Components
Period High/Low Levels: Tracks the highest high and lowest low for each period, plotting red lines for highs and green lines for lows from the bar where they occurred, extending for a user-defined length (default: 200 bars).
Contrarian Signals: Generates buy signals (blue circles) when price crosses below the previous period’s low and sell signals (white circles) when price crosses above the previous period’s high, designed to capture potential reversals.
Blue Dot Tracker: Counts consecutive buy signals (“blue dots”). If three or more occur, it suggests a stronger trend, with the table recommending whether to “Hold Investment” or “Flip Investment.”
Action Table: A 2x2 table in the bottom-right corner displays the blue dot count and action (“Hold Investment” if count ≥ 4, else “Flip Investment”) for quick reference.
Mathematical Concepts
Period Detection: Uses an approximate bar count to define periods (1 bar for Daily, 5 bars for Weekly, 20 bars for Monthly on a daily chart). When a new period starts, the previous period’s high/low is finalized and plotted.
High/Low Tracking:
Highest high (periodHigh) and lowest low (periodLow) are updated within the period.
Lines are drawn at these levels when the period ends, starting from the bar where the extreme occurred (periodHighBar, periodLowBar).
Signal Logic:
Buy signal: ta.crossunder(close , prevPeriodLow) and not lowBroken and barstate.isconfirmed
Sell signal: ta.crossover(close , prevPeriodHigh) and not highBroken and barstate.isconfirmed
Flags (highBroken, lowBroken) prevent multiple signals for the same level within a period.
Blue Dot Counter: Increments on each buy signal, resets on a sell signal or if price exceeds the entry price after three or more buy signals.
Entry and Exit Rules
Buy Signal (Blue Circle): Triggered when the price crosses below the previous period’s low, suggesting a potential oversold condition and buying opportunity. The signal appears as a blue circle below the price bar.
Sell Signal (White Circle): Triggered when the price crosses above the previous period’s high, indicating a potential overbought condition and selling opportunity. The signal appears as a white circle above the price bar.
Blue Dot Tracker:
Increments blueDotCount on each buy signal and sets an entryPrice on the first buy.
Resets on a sell signal or if price exceeds entryPrice after three or more buy signals.
If blueDotCount >= 3, the table suggests holding; if >= 4, it reinforces “Hold Investment.”
Exit Rules: Exit a buy position on a sell signal or when price exceeds the entry price after three or more buy signals. Combine with other tools (e.g., trendlines, support/resistance) for additional confirmation. Always apply proper risk management.
Recommended Usage
The "Contrarian Period High & Low" indicator is optimized for daily charts but can be adapted to other timeframes (e.g., 1H, 4H) with adjustments to the period bar count. It excels in markets with clear support/resistance levels and potential reversal zones. Traders should:
Backtest the indicator on their chosen asset and timeframe to validate signal reliability.
Combine with other technical tools (e.g., moving averages, Fibonacci levels) for stronger trade confirmation.
Adjust barsPerPeriod (e.g., ~120 bars for Weekly on hourly charts) based on the chart timeframe and market volatility.
Monitor the action table to guide position management based on blue dot counts.
Customization Options
Period Type: Choose between Daily, Weekly, or Monthly periods (default: Monthly).
Line Length: Set the length of high/low lines in bars (default: 200).
Show Highs/Lows: Toggle visibility of period high (red) and low (green) lines.
Max Lines to Keep: Limit the number of historical lines displayed (default: 10).
Hide Signals: Toggle buy/sell signal visibility for a cleaner chart.
Table Display: A fixed table in the bottom-right corner shows the blue dot count and action, with yellow (Hold) or green (Flip) backgrounds based on the count.
Why Use This Indicator?
The "Contrarian Period High & Low" indicator offers a unique blend of support/resistance visualization and contrarian signal generation, making it a versatile tool for identifying potential reversals. Its clear visual cues (lines and signals), blue dot tracker, and actionable table provide traders with an intuitive way to monitor market structure and manage trades. Whether you’re a beginner or an experienced trader, this indicator enhances your ability to spot key levels and time entries/exits effectively.
Tips for Users
Test the indicator thoroughly on your chosen market and timeframe to optimize settings (e.g., adjust barsPerPeriod for non-daily charts).
Use in conjunction with price action or other indicators for stronger trade setups.
Monitor the action table to decide whether to hold or flip positions based on blue dot counts.
Ensure your chart timeframe aligns with the selected period type (e.g., daily chart for Monthly periods).
Apply strict risk management to protect against false breakouts.
Happy trading with the Contrarian Period High & Low indicator! Share your feedback and strategies in the TradingView community!
Intraday Buy/Sell/Average Zones by Chaitu50cIntraday Buy/Sell/Average Zones by chaitu50c
Timeframe:
Tested on the 5-minute chart.
Recommended timeframe: 5-minute
What it does
This indicator marks intraday Buy (green) and Sell (red) zones made by strong close-confirmed breakouts. These zones act as support/resistance. If price later closes through a zone, the zone changes color from that bar forward (support ↔ resistance). It can flip more than once.
How zones form
Single breakout: an opposite-type candle closes beyond the previous candle’s high/low.
Double breakout: a base candle, then two opposite-type candles, and the second one closes beyond the base high/low.
Zone size
Buy zone: from the combo lowest low up to the nearest open/close of the combo.
Sell zone: from the combo highest high down to the nearest open/close of the combo.
Color shift (optional)
If price closes through a zone, it flips color at that bar and behaves as the other side (support ↔ resistance). Flips can happen again later.
Overlap control
When a new zone overlaps an existing same-color zone in the same session, choose:
Merge (combine), or
Suppress (ignore the new one).
Flipped zones use their current color for this.
Right edge & session
All zones extend to the right (your offset). Detection is limited to your chosen session, and you can show only the last N sessions.
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How to trade (simple)
A) Initial breakout trade
When a new zone forms, that breakout itself can be a trade idea in the breakout direction, The stoploss will be the zone.
B) Zone breakout trade (flip)
If price later closes out of a zone and it changes color, that breakout is another trade opportunity in the new direction.
C) Retrace & average trade
When price retests a zone, wait for a confirmation candle in the zone’s favor
— bullish close for a green zone, bearish close for a red zone — then average entries inside/near the zone.
Place stops just beyond the opposite edge of the zone.
If the zone flips color, stop averaging; bias changed.
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Key settings
Breakout type: Single and/or Double
Confirm on Close: strict mode (no intrabar preview) or allow intrabar preview that auto-removes if fail
Color Shift on Breaks: on/off
Same-Type Overlap: Merge/Suppress
Session, Sessions to Display, Right Offset, Colors, Max Zones
Reminder: Best results on the 5-minute timeframe (tested and recommended).
Climax Absorption Engine [AlgoPoint]Overview
Have you ever noticed that during a sharp, fast-moving trend, the single candle with the highest volume often appears right at the end, just before the price reverses? This is no coincidence. It's the footprint of a Climax Event.
This indicator is designed to detect these critical moments of maximum panic (capitulation) and maximum euphoria (FOMO). These are the moments when retail traders are driven by emotion, creating a massive pool of liquidity. The "Climax Absorption Engine" identifies when Smart Money is likely absorbing this liquidity to enter large positions against the crowd, right before a potential reversal.
It's a tool built not just on mathematical formulas, but on the principles of market psychology and smart money activity.
How It Works: The 3-Step Logic
The indicator uses a sequential, three-step process to identify high-probability reversal setups:
1. Momentum Move Detection: First, the engine identifies a period of strong, directional momentum. It looks for a series of consecutive, same-colored candles and confirms that the move is backed by a steeply sloped moving average. This ensures we are only looking for climactic events at the end of a significant, non-random move.
2. Climax Candle Identification: Within this momentum move, the indicator scans for a candle with abnormally high volume—a volume spike that is significantly larger than the recent average. This candle is marked on your chart with a diamond shape and is identified as the Climax Candle. This is the point of peak emotion and the primary area of interest. No signal is generated yet.
3. Absorption & Reversal Confirmation: A climax is a warning, not a signal. The final signal is only triggered after the market confirms the reversal.
- For a BUY Signal: After a bearish (red) Climax Candle, the indicator waits for a subsequent green candle to close decisively above the midpoint of the Climax Candle. This confirms that the panic selling has been absorbed by buyers.
- For a SELL Signal: After a bullish (green) Climax Candle, it waits for a subsequent red candle to close decisively below the midpoint. This confirms that the euphoric buying has evaporated.
How to Interpret & Use This Indicator
- The Diamond Shape: A diamond shape on your chart is an early warning. It signifies that a climax event has occurred and the underlying trend is exhausted. This is the time to pay close attention and prepare for a potential reversal.
- The BUY/SELL Labels: These are the final, actionable signals. They appear only after the reversal has been confirmed by price action.
- A BUY signal suggests that capitulation selling is over, and buyers have absorbed the pressure.
- A SELL signal suggests that FOMO buying is over, and sellers are now in control.
Key Settings
- Momentum Detection: Adjust the number of consecutive bars and the EMA slope required to define a valid momentum move.
- Climax Detection: Fine-tune the sensitivity of the volume spike detection using the Volume Multiplier. Higher values will find only the most extreme events.
- Confirmation Window: Define how many bars the indicator should wait for a reversal candle after a climax event before the setup is cancelled.
Moon Scalper v3 + VSAMoon Scalper v3 is a high-precision scalping indicator optimized for the 15-minute chart. It delivers clean buy/sell signals with TP1 (1:1 risk-reward) exits using layered confirmations:
• **Volatility Bands** — SMA + multiplier detect expansion zones
• **EMA Filter (200)** — ensures trades align with trend
• **RSI Range Filter** — avoids extreme overbought/oversold traps (buy: 52–62, sell: 38–48)
• **Volume Spike Filter** — filters for institutional activity (vol > 1.4×SMA)
• **VSA Confirmation** — requires wide-spread, high-volume bars with reclaim (volume × 1.4, spread × 1.5, reclaim 50%)
**Usage Notes:**
Best used on 15m timeframe for liquid pairs (e.g., BTCUSDT, ETHUSDT). Signals appear as “BUY” / “SELL” labels on chart. Defaults yield high TP1 hit rate; use only during active sessions (e.g., London/NY) for best accuracy.
**Disclaimer:**
This indicator is for educational purposes only. Past performance is not a guarantee of future results. Always backtest before live trading and manage risk responsibly.
Balanced Big Wicks (50/50) HighlighterThis open-source indicator highlights candles with balanced long wicks (50/50 style)—that is, candles where both upper and lower shadows are each at least 30–60% of the full range and within ~8% of each other, while retaining a substantial body. This specific structure often reflects indecision or liquidity sweeps and can precede strong breakout moves.
How It Works (Inputs and Logic)
Min wick % (each side): 30–60% of candle range
Max body %: up to 60% of range (preserves strong body presence)
Equality tolerance: wicks within 8% of each other
ATR filter (multiples of ATR14): ensures only significant-range candles are flagged
When a “50/50” candle forms, it’s visually colored and labeled; audibly alertable.
How to Use It
Long setup: price closes above the wick-high → potential long entry (SL below wick-low, TP = 1:1).
Short setup: price closes below wick-low → potential short entry (SL above wick-high, TP = 1:1).
Especially effective on 5–15 minute scalping charts when aligned with high-volume sessions or HTF trend context.
Why This Indicator Is Unique
Unlike standard wick or doji voters, this script specifically filters for candles with a strong body and symmetrical wicks, paired with a range filter, reducing noise significantly.
Important Notes
No unrealistic claims: backtested setups indicate high occurrence of clean breakouts, though performance depends on market structure.
Script built responsibly: uses real-time calculations only, no future-data lookahead.
Visuals on the published chart reflect default input values exactly.
LogPressure Envelope [BOSWaves]LogPressure Envelope – Adaptive Volatility & Trend Visualizer
Overview
LogPressure Envelope is a specialized trading tool designed to normalize market behavior using logarithmic price scaling while providing an adaptive framework for volatility and trend detection. The indicator calculates a log-based moving average midline, surrounds it with asymmetric volatility envelopes, and replaces the conventional cloud with progressive fan lines to present price action in a more interpretable form.
By integrating rate-of-change midline coloring, fading trend strength, and structured buy/sell markers, LogPressure Envelope simplifies the reading of complex market dynamics. Its design makes it suitable for multiple trading approaches, including scalping, intraday, and swing trading, where volatility behavior and trend shifts must be understood quickly and objectively.
Unlike static envelope indicators, LogPressure Envelope adapts continuously to price scale and volatility conditions. It evaluates log-transformed prices, applies configurable moving average methods (EMA, SMA, WMA), and derives asymmetric standard-deviation bands for both upside and downside moves. These envelopes are projected as fan lines with adjustable opacity, producing a layered volatility map that evolves with the market.
This system ensures each visual element—midline shading, candle coloring, fan structure, and signal markers—reflects real-time market conditions, allowing traders to interpret volatility expansion, contraction, and directional bias with clarity.
How It Works
The foundation of LogPressure Envelope is the logarithmic transformation of price. By operating in log space, the indicator removes distortions caused by large nominal price differences across assets, enabling consistent analysis of both low-priced and high-priced instruments.
A moving average of log prices is calculated (EMA, SMA, or WMA depending on user input) and then re-converted to normal price scale, forming the log midline. Standard deviation of log prices is then measured over a separate period, with independent multipliers for upside and downside deviations. This asymmetry captures the fact that markets often expand differently in bullish versus bearish phases.
Instead of plotting a filled cloud, the envelope is expressed as ten equidistant fan lines stretching from the lower to upper boundary. Each line is shaded progressively to visualize volatility clustering and directional strength without overloading the chart.
Trend determination is smoothed using a fade mechanism: shifts in bias do not flip instantly but gradually move toward the new state, producing fewer false transitions. Buy and sell markers are generated when trend strength crosses confirmation thresholds, ensuring signals are event-driven and contextually meaningful.
Signals and Visuals
LogPressure Envelope provides multiple layers of structured signals:
Midline Bias – Central moving average colored by rate-of-change, reflecting directional acceleration or deceleration.
Volatility Fan – Ten progressive lines forming a gradient between lower and upper bands, visually encoding volatility spread.
Buy Signals – Labels below bars when upward trend strength is confirmed.
Sell Signals – Labels above bars when downward trend strength is confirmed.
Candle Coloring – Optional shading of candles based on trend alignment with the log midline, highlighting bullish, bearish, or neutral conditions.
These signals remain clear even during high-volatility phases, with visual hierarchy maintained through progressive opacity control.
Interpretation
Trend Analysis : Midline direction and candle coloring provide continuous feedback on prevailing bias. Upward-sloping midlines with blue shading indicate bullish phases, while downward slopes with orange shading confirm bearish conditions.
Volatility and Risk Assessment : Expansion of fan lines indicates rising volatility and potential breakout conditions; contraction indicates consolidation and possible mean reversion.
Signal Confirmation : Buy and sell markers validate transitions when trend strength thresholds are crossed, aligning with volatility envelope dynamics.
Market Context : Asymmetric envelopes allow traders to see where bearish acceleration differs from bullish expansion, improving interpretation of liquidity conditions and institutional pressure.
Strategy Integration
LogPressure Envelope can be applied across trading styles:
Trend Following : Enter trades in the direction of midline bias, confirmed by buy or sell markers.
Pullback Entries : Use midline retests during trending conditions as lower-risk continuation points.
Volatility Breakouts : Identify sharp expansions in fan line spacing as early signals of directional moves.
Reversal Strategies : Fade extreme envelope touches when momentum shows exhaustion and fan contraction begins.
Multi-Timeframe Confirmation : Align signals from higher and lower timeframes to reduce noise and validate trade setups.
Stop-loss levels can be set near the opposite envelope boundary, while targets may be managed through progressive volatility zones or midline convergence.
Advanced Techniques
For greater precision, LogPressure Envelope can be combined with other analytical tools:
Pair with volume or liquidity measures to validate breakout or reversal conditions.
Use momentum indicators to confirm ROC-based midline bias.
Track sequences of fan line expansions and contractions to anticipate regime shifts in volatility.
Apply across multiple timeframes to monitor how volatility clusters align at different market scales.
Adjusting parameters such as envelope multipliers, moving average type, and fade bars allows the indicator to adapt to diverse asset classes and volatility environments.
Inputs and Customization
Midline Type : Select EMA, SMA, or WMA.
Line Opacity : Control visibility of fan lines.
Enable Candle Coloring : Toggle trend-based bar shading.
MA Length / StdDev Length : Define periods for midline and volatility calculation.
Multipliers : Set asymmetric scaling for upside and downside envelopes.
Fade Bars : Control smoothness of trend strength transitions.
Fan Lines : Adjust number of envelope subdivisions for visualization granularity.
Why Use LogPressure Envelope
LogPressure Envelope translates complex volatility and trend interactions into a structured and adaptive framework. By combining logarithmic normalization, asymmetric standard deviation envelopes, and smoothed trend confirmation, it allows traders to:
Normalize price analysis across assets of different scales.
Visualize volatility expansion and contraction in real time.
Identify and confirm directional shifts with objective signal markers.
Apply a disciplined system for trend, breakout, and reversal strategies.
This indicator is designed for traders who want a systematic, visually clear approach to volatility-based market analysis without relying on static bands or arbitrary scaling.
Adaptive Rolling Quantile Bands [CHE] Adaptive Rolling Quantile Bands
Part 1 — Mathematics and Algorithmic Design
Purpose. The indicator estimates distribution‐aware price levels from a rolling window and turns them into dynamic “buy” and “sell” bands. It can work on raw price or on *residuals* around a baseline to better isolate deviations from trend. Optionally, the percentile parameter $q$ adapts to volatility via ATR so the bands widen in turbulent regimes and tighten in calm ones. A compact, latched state machine converts these statistical levels into high-quality discretionary signals.
Data pipeline.
1. Choose a source (default `close`; MTF optional via `request.security`).
2. Optionally compute a baseline (`SMA` or `EMA`) of length $L$.
3. Build the *working series*: raw price if residual mode is off; otherwise price minus baseline (if a baseline exists).
4. Maintain a FIFO buffer of the last $N$ values (window length). All quantiles are computed on this buffer.
5. Map the resulting levels back to price space if residual mode is on (i.e., add back the baseline).
6. Smooth levels with a short EMA for readability.
Rolling quantiles.
Given the buffer $X_{t-N+1..t}$ and a percentile $q\in $, the indicator sorts a copy of the buffer ascending and linearly interpolates between adjacent ranks to estimate:
* Buy band $\approx Q(q)$
* Sell band $\approx Q(1-q)$
* Median $Q(0.5)$, plus optional deciles $Q(0.10)$ and $Q(0.90)$
Quantiles are robust to outliers relative to means. The estimator uses only data up to the current bar’s value in the buffer; there is no look-ahead.
Residual transform (optional).
In residual mode, quantiles are computed on $X^{res}_t = \text{price}_t - \text{baseline}_t$. This centers the distribution and often yields more stationary tails. After computing $Q(\cdot)$ on residuals, levels are transformed back to price space by adding the baseline. If `Baseline = None`, residual mode simply falls back to raw price.
Volatility-adaptive percentile.
Let $\text{ATR}_{14}(t)$ be current ATR and $\overline{\text{ATR}}_{100}(t)$ its long SMA. Define a volatility ratio $r = \text{ATR}_{14}/\overline{\text{ATR}}_{100}$. The effective quantile is:
Smoothing.
Each level is optionally smoothed by an EMA of length $k$ for cleaner visuals. This smoothing does not change the underlying quantile logic; it only stabilizes plots and signals.
Latched state machines.
Two three-step processes convert levels into “latched” signals that only fire after confirmation and then reset:
* BUY latch:
(1) HLC3 crosses above the median →
(2) the median is rising →
(3) HLC3 prints above the upper (orange) band → BUY latched.
* SELL latch:
(1) HLC3 crosses below the median →
(2) the median is falling →
(3) HLC3 prints below the lower (teal) band → SELL latched.
Labels are drawn on the latch bar, with a FIFO cap to limit clutter. Alerts are available for both the simple band interactions and the latched events. Use “Once per bar close” to avoid intrabar churn.
MTF behavior and repainting.
MTF sourcing uses `lookahead_off`. Quantiles and baselines are computed from completed data only; however, any *intrabar* cross conditions naturally stabilize at close. As with all real-time indicators, values can update during a live bar; prefer bar-close alerts for reliability.
Complexity and parameters.
Each bar sorts a copy of the $N$-length window (practical $N$ values keep this inexpensive). Typical choices: $N=50$–$100$, $q_0=0.15$–$0.25$, $k=2$–$5$, baseline length $L=20$ (if used), adaptation strength $s=0.2$–$0.7$.
Part 2 — Practical Use for Discretionary/Active Traders
What the bands mean in practice.
The teal “buy” band marks the lower tail of the recent distribution; the orange “sell” band marks the upper tail. The median is your dynamic equilibrium. In residual mode, these tails are deviations around trend; in raw mode they are absolute price percentiles. When ATR adaptation is on, tails breathe with regime shifts.
Two core playbooks.
1. Mean-reversion around a stable median.
* Context: The median is flat or gently sloped; band width is relatively tight; instrument is ranging.
* Entry (long): Look for price to probe or close below the buy band and then reclaim it, especially after HLC3 recrosses the median and the median turns up.
* Stops: Place beyond the most recent swing low or $1.0–1.5\times$ ATR(14) below entry.
* Targets: First scale at the median; optional second scale near the opposite band. Trail with the median or an ATR stop.
* Symmetry: Mirror the rules for shorts near the sell band when the median is flat to down.
2. Continuation with latched confirmations.
* Context: A developing trend where you want fewer but cleaner signals.
* Entry (long): Take the latched BUY (3-step confirmation) on close, or on the next bar if you require bar-close validation.
* Invalidation: A close back below the median (or below the lower band in strong trends) negates momentum.
* Exits: Trail under the median for conservative exits or under the teal band for trend-following exits. Consider scaling at structure (prior swing highs) or at a fixed $R$ multiple.
Parameter guidance by timeframe.
* Scalping / LTF (1–5m): $N=30$–$60$, $q_0=0.20$, $k=2$–3, residual mode on, baseline EMA $L=20$, adaptation $s=0.5$–0.7 to handle micro-vol spikes. Expect more signals; rely on latched logic to filter noise.
* Intraday swing (15–60m): $N=60$–$100$, $q_0=0.15$–0.20, $k=3$–4. Residual mode helps but is optional if the instrument trends cleanly. $s=0.3$–0.6.
* Swing / HTF (4H–D): $N=80$–$150$, $q_0=0.10$–0.18, $k=3$–5. Consider `SMA` baseline for smoother residuals and moderate adaptation $s=0.2$–0.4.
Baseline choice.
Use EMA for responsiveness (fast trend shifts) and SMA for stability (smoother residuals). Turning residual mode on is advantageous when price exhibits persistent drift; turning it off is useful when you explicitly want absolute bands.
How to time entries.
Prefer bar-close validation for both band recaptures and latched signals. If you must act intrabar, accept that crosses can “un-cross” before close; compensate with tighter stops or reduced size.
Risk management.
Position size to a fixed fractional risk per trade (e.g., 0.5–1.0% of equity). Define invalidation using structure (swing points) plus ATR. Avoid chasing when distance to the opposite band is small; reward-to-risk degrades rapidly once you are deep inside the distribution.
Combos and filters.
* Pair with a higher-timeframe median slope as a regime filter (trade only in the direction of the HTF median).
* Use band width relative to ATR as a range/trend gauge: unusually narrow bands suggest compression (mean-reversion bias); expanding bands suggest breakout potential (favor latched continuation).
* Volume or session filters (e.g., avoid illiquid hours) can materially improve execution.
Alerts for discretion.
Enable “Cross above Buy Level” / “Cross below Sell Level” for early notices and “Latched BUY/SELL” for conviction entries. Set alerts to “Once per bar close” to avoid noise.
Common pitfalls.
Do not interpret band touches as automatic signals; context matters. A strong trend will often ride the far band (“band walking”) and punish counter-trend fades—use the median slope and latched logic to separate trend from range. Do not oversmooth levels; you will lag breaks. Do not set $q$ too small or too large; extremes reduce statistical meaning and practical distance for stops.
A concise checklist.
1. Is the median flat (range) or sloped (trend)?
2. Is band width expanding or contracting vs ATR?
3. Are we near the tail level aligned with the intended trade?
4. For continuation: did the 3 steps for a latched signal complete?
5. Do stops and targets produce acceptable $R$ (≥1.5–2.0)?
6. Are you trading during liquid hours for the instrument?
Summary. ARQB provides statistically grounded, regime-aware bands and a disciplined, latched confirmation engine. Use the bands as objective context, the median as your equilibrium line, ATR adaptation to stay calibrated across regimes, and the latched logic to time higher-quality discretionary entries.
Disclaimer
No indicator guarantees profits. Adaptive Rolling Quantile Bands is a decision aid; always combine with solid risk management and your own judgment. Backtest, forward test, and size responsibly.
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Enhance your trading precision and confidence 🚀
Best regards
Chervolino
VWMA MACD Amanita Buy/Sell Signals VWMA MACD Amanita Buy/Sell Signals – Volume-Weighted Momentum Indicator
A twist on the classic MACD: this indicator uses Volume Weighted Moving Averages (VWMA) instead of EMAs, giving more weight to price moves backed by higher volume.
Features:
VWMA-based MACD line & signal line
Histogram highlights bullish/bearish momentum
Color-coded for easy visualization
Quick Guide:
MACD above Signal → bullish
MACD below Signal → bearish
Rising histogram → strengthening trend
Falling histogram → weakening trend
Perfect for traders who want momentum confirmed by volume.
Multi EMA Cross with EMA ConfluenceMulti EMA Cross with EMA Confluence
This indicator combines the power of multiple EMA crossovers with a higher-timeframe confluence filter to help traders visualize potential bullish and bearish conditions on their charts.
Two groups of EMAs work together to establish alignment:
Group 1 (Fast / Slow Pair) – Shorter-term momentum shifts
Group 2 (Fast / Slow Pair) – Broader trend confirmation
On top of that, an optional Confluence EMA (default 200 EMA) acts as an additional filter, ensuring that signals align with the larger market trend.
Key features:
Customizable EMA lengths, colors, and confluence settings
Background highlighting when conditions align bullish or bearish
Clear buy/sell labels when new conditions trigger
Flexible enough to adapt across timeframes and trading styles
This tool is designed to enhance chart clarity and help you stay aligned with momentum and trend. It is not meant to replace your own analysis but rather to complement it.
Disclaimer: This script is for educational and informational purposes only. It is not financial advice. Trading involves risk, and you should always do your own research or consult with a licensed financial professional before making investment decisions.
Ultimate Scalping Strategy v2Strategy Overview
This is a versatile scalping strategy designed primarily for low timeframes (like 1-min, 3-min, or 5-min charts). Its core logic is based on a classic EMA (Exponential Moving Average) crossover system, which is then filtered by the VWAP (Volume-Weighted Average Price) to confirm the trade's direction in alignment with the market's current intraday sentiment.
The strategy is highly customizable, allowing traders to add layers of confirmation, control trade direction, and manage exits with precision.
Core Strategy Logic
The strategy's entry signals are generated when two primary conditions are met simultaneously:
Momentum Shift (EMA Crossover): It looks for a crossover between a fast EMA (default length 9) and a slow EMA (default length 21).
Buy Signal: The fast EMA crosses above the slow EMA, indicating a potential shift to bullish momentum.
Sell Signal: The fast EMA crosses below the slow EMA, indicating a potential shift to bearish momentum.
Trend/Sentiment Filter (VWAP): The crossover signal is only considered valid if the price is on the "correct" side of the VWAP.
For a Buy Signal: The price must be trading above the VWAP. This confirms that, on average, buyers are in control for the day.
For a Sell Signal: The price must be trading below the VWAP. This confirms that sellers are generally in control.
Confirmation Filters (Optional)
To increase the reliability of the signals and reduce false entries, the strategy includes two optional confirmation filters:
Price Action Filter (Engulfing Candle): If enabled (Use Price Action), the entry signal is only valid if the crossover candle is also an "engulfing" candle.
A Bullish Engulfing candle is a large green candle that completely "engulfs" the body of the previous smaller red candle, signaling strong buying pressure.
A Bearish Engulfing candle is a large red candle that engulfs the previous smaller green candle, signaling strong selling pressure.
Volume Filter (Volume Spike): If enabled (Use Volume Confirmation), the entry signal must be accompanied by a surge in volume. This is confirmed if the volume of the entry candle is greater than its recent moving average (default 20 periods). This ensures the move has strong participation behind it.
Exit Strategy
A position can be closed in one of three ways, creating a comprehensive exit plan:
Stop Loss (SL): A fixed stop loss is set at a level determined by a multiple of the Average True Range (ATR). For example, a 1.5 multiplier places the stop 1.5 times the current ATR value away from the entry price. This makes the stop dynamic, adapting to market volatility.
Take Profit (TP): A fixed take profit is also set using an ATR multiplier. By setting the TP multiplier higher than the SL multiplier (e.g., 2.0 for TP vs. 1.5 for SL), the strategy aims for a positive risk-to-reward ratio on each trade.
Exit on Opposite Signal (Reversal): If enabled, an open position will be closed automatically if a valid entry signal in the opposite direction appears. For example, if you are in a long trade and a valid short signal occurs, the strategy will exit the long position immediately. This feature turns the strategy into more of a reversal system.
Key Features & Customization
Trade Direction Control: You can enable or disable long and short trades independently using the Allow Longs and Allow Shorts toggles. This is useful for trading in harmony with a higher-timeframe trend (e.g., only allowing longs in a bull market).
Visual Plots: The strategy plots the Fast EMA, Slow EMA, and VWAP on the chart for easy visualization of the setup. It also plots up/down arrows to mark where valid buy and sell signals occurred.
Dynamic SL/TP Line Plotting: A standout feature is that the strategy automatically draws the exact Stop Loss and Take Profit price lines on the chart for every active trade. These lines appear when a trade is entered and disappear as soon as it is closed, providing a clear visual of your risk and reward targets.
Alerts: The script includes built-in alertcondition calls. This allows you to create alerts in TradingView that can notify you on your phone or execute trades automatically via a webhook when a long or short signal is generated.
UT Bot + LinReg Candles (Dual Sensitivity)
Script Description:
This indicator combines the popular UT Bot Alerts system with Linear Regression Candles (open source) for enhanced trend detection and trading signals in one singel script. The UT Bot features independent, then 2 x ATR sensitivity and periods controls for buy and sell signals, allowing you to fine-tune entries and exits to match your strategy. The script also overlays colored Linear Regression Candles with an optional signal line, helping you visually identify trend strength and direction. All calculations are performed on standard chart prices (no Heikin Ashi). Suitable for all asset classes and timeframes.
Eample setting for usdjpy 5 min chart for repeated buy and sell singnals based on trend:
BUY ATR period 300 multiplier 1
SELL ATR period 1 multiplier 2
Disclaimer:
This script is for informational and educational purposes only. It is not financial advice. Use at your own risk; the author assumes no responsibility for any trading results or losses.
Credits goes to to Ugurvu for linreg candles and quantnomad for UT Bot alerts that make this script possible.
Author: Patrick
Future is hereOverview
"Future is Here" is an original, multi-faceted Pine Script indicator designed to provide traders with a comprehensive toolset for identifying high-probability trading opportunities. By integrating volatility-based entry zones, trend-based price targets, momentum confirmation, dynamic support/resistance levels, and risk-reward ratio (RRR) calculations, this indicator offers a cohesive and actionable trading framework. Each feature is carefully designed to complement the others, ensuring a synergistic approach that enhances decision-making across various market conditions. This script is unique in its ability to combine these elements into a single, streamlined interface with clear visual cues and customizable alerts, making it suitable for both novice and experienced traders.
Key Features and How They Work Together
Volatility-Based Entry Zones
Purpose: Identifies overbought and oversold conditions using a volatility-adjusted moving average, helping traders spot potential reversal zones.
Mechanism: Utilizes a user-defined volatility length and multiplier to calculate dynamic overbought/oversold thresholds based on the standard deviation of price. Crossovers and crossunders of these levels trigger "Buy Zone" or "Sell Zone" labels.
Synergy: These zones act as the foundation for entry signals, which are later confirmed by momentum and trend filters to reduce false signals.
Trend-Based Price Targets
Purpose: Projects potential price targets based on the prevailing trend, giving traders clear objectives for profit-taking.
Mechanism: Combines a fast and slow moving average to determine trend direction, then calculates target prices using a multiplier of the price deviation from the slow MA. Labels display bullish or bearish targets when the fast MA crosses the slow MA.
Synergy: Works in tandem with entry zones and momentum signals to align targets with market conditions, ensuring traders aim for realistic price levels supported by trend strength.
Momentum Confirmation
Purpose: Validates entry signals by assessing momentum strength, filtering out weak setups.
Mechanism: Uses the momentum indicator to detect bullish or bearish momentum crossovers, labeling them as "Strong" or "Weak" based on a comparison with a smoothed momentum average.
Synergy: Enhances the reliability of buy/sell signals by ensuring momentum aligns with volatility zones and trend direction, reducing the risk of premature entries.
Dynamic Support/Resistance Levels
Purpose: Highlights key price levels where the market is likely to react, aiding in trade planning and risk management.
Mechanism: Detects pivot highs and lows over a user-defined lookback period, drawing horizontal lines for the most recent support and resistance levels (limited to two each for clarity). Labels mark these levels with price values.
Synergy: Complements entry zones and price targets by providing context for potential reversal or continuation points, helping traders set logical stop-losses or take-profits.
Buy/Sell Signals with Risk-Reward Ratios
Purpose: Generates precise buy/sell signals with integrated take-profit (TP), stop-loss (SL), and RRR calculations for disciplined trading.
Mechanism: Combines volatility zone crossovers, trend confirmation, and positive momentum to trigger signals. ATR-based TP and SL levels are calculated, and the RRR is displayed in labels for quick assessment.
Synergy: This feature ties together all previous components, ensuring signals are only generated when volatility, trend, and momentum align, while providing clear risk-reward metrics for trade evaluation.
Customizable Alerts
Purpose: Enables traders to stay informed of trading opportunities without constant chart monitoring.
Mechanism: Alert conditions are set for buy and sell signals, delivering notifications with the entry price for seamless integration into trading workflows.
Synergy: Enhances usability by allowing traders to act on high-probability setups identified by the indicator’s combined logic.
Originality
"Future is Here" is an original creation that distinguishes itself through its holistic approach to technical analysis. Unlike single-purpose indicators, it integrates volatility, trend, momentum, and support/resistance into a unified system, reducing the need for multiple scripts. The inclusion of RRR calculations directly in signal labels is a unique feature that empowers traders to evaluate trade quality instantly. The script’s design emphasizes clarity and efficiency, with cooldowns to prevent label clutter and a limit on support/resistance lines to maintain chart readability. This combination of features, along with its customizable parameters, makes it a versatile and novel tool for traders seeking a robust, all-in-one solution.
How to Use
Setup: Add the indicator to your TradingView chart and adjust input parameters (e.g., Volatility Length, Trend Length, TP/SL Multipliers) to suit your trading style and timeframe.
Interpretation:
Look for "Buy Zone" or "Sell Zone" labels to identify potential entry points.
Confirm entries with "Bull Mom" or "Bear Mom" labels and trend direction (Bull/Bear Target labels).
Use Support/Resistance lines to set logical TP/SL levels or anticipate reversals.
Evaluate Buy/Sell signals with TP, SL, and RRR for high-probability trades.
Alerts: Set up alerts for Buy/Sell signals to receive real-time notifications.
Customization: Fine-tune multipliers and lengths to adapt the indicator to different markets (e.g., stocks, forex, crypto) or timeframes.
Intraday BUY/SELL & AUTO SL (5-min timeframe only) by chaitu50c)Intraday BUY/SELL & AUTO SL (5-min timeframe only) by chaitu50c
This indicator provides intraday traders with BUY/SELL reversal signals and automated SL (Stoploss) tracking, based on a 3-candle reversal block logic — designed to work exclusively on the 5-min timeframe.
Key Features:
• 3-Candle Reversal Logic — Signals are generated when a defined 3-candle reversal pattern is detected (body-close breakout).
• Current Session Only — All signals and SL lines are valid only for the current session and automatically reset at session start.
• BUY/SELL Signal Labels — Visual ▲ and ▼ labels mark valid reversal signals on the chart.
• Dynamic Auto SL Lines — Plots dashed SL lines based on the reversal block's low/high.
• SL HIT Tracking — If SL is broken, the line stops extending and a ‘SL HIT’ label is displayed at the midpoint of the SL line.
• Adjustable Visual Settings — Customize signal label size, SL line width, colors, and more.
• Clean & Lightweight — Optimized for intraday use without cluttering the chart.
How to Use:
You can trade this indicator in two ways:
1. Direct Signal Entry — Take a BUY or SELL trade when a valid ▲/▼ reversal signal forms.
2. SL HIT Re-entry — If an existing SL line is broken and ‘SL HIT’ appears, you can optionally take an opposite side trade in the direction of the SL HIT.
Example:
A BUY signal is generated and an SL line is plotted below.
If price breaks the SL (SL HIT appears), you may consider entering a SELL trade at that point — as it indicates weakness.
Important Notes:
• Works only on 5-min timeframe — Set your chart to 5-min for correct behavior.
• Designed for intraday trading — all signals and SL levels reset at session start.
• Does not carry signals between sessions.
• SL lines and HIT labels provide a clear and simple visual aid for trade management.
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