Flying Dragon Trend StrategyFlying Dragon Trend Strategy can be used to indicate the trend on all timeframes by finetuning the input settings.
The Flying Dragon Trend family includes both the strategy and the indicator, where the strategy supports of selecting the optimal set of inputs for the indicator in each scenario. Highly recommended to get familiar with the strategy first to get the best out of the indicator.
Flying Dragon Trend plots the trend bands into the ribbon, where the colours indicate the trend of each band. The plotting of the bands can be turned off in the input settings. Based on the user selectable Risk Level the strategy is executed when the price crosses the certain moving average line, or at the Lowest risk level all the bands have the same colour.
The main idea is to combine two different moving averages to cross each other at the possible trend pivot point, but trying to avoid any short term bounces to affect the trend indication. The ingenuity resides in the combination of selected moving average types, lengths and especially the offsets. The trend bands give visual hint for the user while observing the price interaction with the bands, one could say that when "the Dragon swallows the candles the jaws wide open", then there is high possibility for the pivot. The leading moving average should be fast while the lagging moving average should be, well, lagging behind the leading one. There is Offset selections for each moving average, three for leading one and one for the lagging one, those are where the magic happens. After user has selected preferred moving average types and lengths, by tuning each offset the optimal sweet spot for each timeframe and equity will be found. The default values are good enough starting points for longer (4h and up) timeframes, but shorter timeframes (minutes to hours) require different combination of settings, some hints are provided in tooltips. Basically the slower the "leading" moving average (like HMA75 or HMA115) and quicker the "lagging" moving average (like SMA12 or SMA5) become, the better performance at the Lowest risk level on minute scales. This "reversed" approach at the minute scales is shown also as reversed colour for the "lagging" moving average trend band, which seems to make it work surprisingly well.
The Flying Dragon Trend does not necessarily work well on zig zag and range bounce scenarios without additional finetuning of the input settings to fit the current condition.
Strategy direction selector by DashTrader.
Tìm kiếm tập lệnh với "band"
Actieve Inversiones EMABBOL by EDOHEN
EMABBOL includes these indicators:
- triple emas (9,21,50)
- Bollinger Bands
- Also includes buying or selling signals
The following strategy is based on ema crosses and bollinger ma crosses, the Bollinger band gives us the target we could expect from our trades, using the upper and lower bands.
Trading criteria
Buy : Price crosses over the triple emas and also crosses under the Bollinger band ema. Looking for 3:1 PnL
Sell : Price crosses under the triple emas and also crosses under the Bollinger band ema. Looking for 3:1 PnL
Stop Loss Tips : set the SL above the crosses if Selling, below the crosses if buying
Take Profit Tips : set the TP below the Bollinger's lower Band band if Selling, or above the Bollinger's upper Band band if Buying
Any RibbonThis indicator displays a ribbon of two individually configured Fast and Slow and Moving Averages for a fixed time frame. It also displays the last close price of the configured time frame, colored green when above the band, red below and blue when interacting. A label shows the percentage distance of the current price from the band, (again red below, green above, blue interacting), when the price is within the band it will show the percentage distance from median of the band.
The Fast and Slow Moving Averages can be set to:
Simple Moving Average (SMA)
Exponential Moving Average (EMA)
Weighted Moving Average (WMA)
Volume-Weighted Moving Average (VWMA)
Hull Moving Average (HMA)
Exponentially Weighted Moving Average (RMA) (SMMA)
Linear regression curve Moving Average (LSMA)
Double EMA (DEMA)
Double SMA (DSMA)
Double WMA (DWMA)
Double RMA (DRMA)
Triple EMA (TEMA)
Triple SMA (TSMA)
Triple WMA (TWMA)
Triple RMA (TRMA)
Symmetrically Weighted Moving Average (SWMA) ** length does not apply **
Arnaud Legoux Moving Average (ALMA)
Variable Index Dynamic Average (VIDYA)
Fractal Adaptive Moving Average (FRAMA)
I wrote this script after identifying some interesting moving average bands with my AMACD indicator and wanting to see them on the price chart. As an example look at the interactions between ETHBUSD 4hr and the band of VIDYA 32 Open and VIDYA 39 Open. Or start from the good old BTC Bull market support band, Weekly EMA 21 and SMA 20 and see if you can get a better fit. I find the Double RMA 22 a better fast option than the standard EMA 21.
Quantum Uncertainty by Kingshuk GhoshLet me explain this indicator in simple, practical terms, including the fascinating physics concept that inspired me.
This indicator helps to understand when the market is predictable (safe to trade) versus unpredictable (risky to trade). It shows the probability zones where price is likely to move and warns you when conditions are too chaotic for reliable trading.
The Physics Behind It: Heisenberg's Uncertainty Principle:-
This indicator is inspired by one of the most profound discoveries in physics: Heisenberg's Uncertainty Principle.
What Is The Uncertainty Principle?
In 1927, physicist Werner Heisenberg discovered something remarkable about the universe: you cannot simultaneously know both the exact position and exact momentum of a particle with perfect precision. The more accurately you know one, the less accurately you can know the other.
Simple Analogy:
Imagine trying to photograph a speeding bullet:
Use fast shutter speed → You see exactly WHERE it is (position), but the image is frozen, so you can't tell HOW FAST it's moving (momentum)
Use slow shutter speed → You see motion blur showing HOW FAST it's moving (momentum), but you can't pinpoint exactly WHERE it is (position)
You can never have both perfect clarity simultaneously - there's always a trade-off.
How This Applies To Trading
The indicator translates this principle to financial markets:
In Physics:
Position Uncertainty × Momentum Uncertainty = Always greater than a minimum value
High uncertainty in one means high uncertainty overall
In Trading:
Price Position Uncertainty = How much the price bounces around (volatility)
Price Momentum Uncertainty = How erratic the directional strength is
Total Market Uncertainty = Price Volatility × Momentum Volatility
The Trading Insight:
Just like in physics, when BOTH price position and momentum are uncertain (highly volatile), the market becomes fundamentally unpredictable. You can't reliably know where price will go next because the system is in high uncertainty state.
Why This Matters For You
Traditional indicators often look at price OR momentum separately. This indicator recognizes that both must be considered together to truly understand market predictability, just as Heisenberg showed that position and momentum must be considered together in physics.
When both uncertainties are high simultaneously:
Price could jump anywhere
Momentum could shift instantly
Predictions become unreliable
Trading becomes gambling
When both uncertainties are low:
Price behavior is more regular
Momentum is more stable
Patterns become clearer
Trading becomes strategic
This is why the indicator's core metric multiplies price volatility by momentum volatility - it's capturing that fundamental uncertainty relationship.
Market Uncertainty
The indicator calculates how unpredictable the market currently is by examining:
How much price is bouncing around (price volatility)
How erratic the momentum is (momentum instability)
When both are high simultaneously, the market becomes highly unpredictable. When both are calm, the market is more reliable for trading.
Think of it like driving:
Low uncertainty = Clear road, good visibility, safe to drive
High uncertainty = Fog, rain, poor visibility, dangerous conditions
Probability Bands
The indicator draws colored bands around a central average price line:
White Center Line (Basis)
The average price over your lookback period
Acts as a equilibrium point where price gravitates
Blue Bands (Inner Zone)
Covers about 68% of normal price behavior
Price spends most of its time here
This is the "normal operating range"
Purple Bands (Outer Zone)
Covers about 95% of all price behavior
Price rarely ventures here
When it does, it's unusual and noteworthy
Highway Lane Analogy:
Most drivers stay in center lanes (blue zone)
Few drivers use extreme outer lanes (purple zone)
When someone drives on the shoulder, it's abnormal and signals something is happening
Wave Function Collapse
Another physics concept applied here: In quantum mechanics, particles exist in multiple states simultaneously (superposition) until they're measured - then the "wave function collapses" to a single state.
In This Indicator:
The probability bands represent all the possible states price could be in. When price moves and settles at a specific level, it's like the wave function collapsing - probability becomes reality.
The indicator helps you see:
Where price is most likely to be (high probability zones - blue bands)
Where price rarely goes (low probability zones - purple bands)
When price is in an "impossible" state (outside bands - tunneling)
Price Position
The indicator tracks where current price sits within these bands:
Upper position = Price in the top half (bullish territory)
Lower position = Price in the bottom half (bearish territory)
Extreme positions = Price in outer 30% on either side (potential reversal zones)
Quantum Tunneling Signals
This is another physics concept: In quantum mechanics, particles can sometimes "tunnel" through barriers that classical physics says they shouldn't be able to cross.
In Trading:
When price breaks through the 95% probability barrier, it's "tunneling" into statistically improbable territory - these are marked by triangles:
Green Triangle Up
Price tunneled through the upper 95% barrier
This is statistically rare (happens only 5% of the time)
Often signals price exhaustion or coming reversal downward
Like a particle that tunneled too far and will snap back
Red Triangle Down
Price tunneled through the lower 95% barrier
Also statistically unusual
Often signals panic selling may be overdone
Like a spring compressed too far, ready to bounce
These "tunneling events" are significant because they represent extreme deviations from normal probability - and markets tend to revert to normal.
Entanglement Score
In quantum physics, "entanglement" means two particles are connected such that measuring one instantly affects the other, no matter the distance.
In Trading:
This measures whether price movements are "entangled" with trading volume - do they move together in a connected way?
High Entanglement (above 0.5)
Price and volume move together
Volume confirms the price action
More reliable, trustworthy moves
Like entangled particles - they're truly connected
Low Entanglement (below 0.3)
Price moves without volume support
Suspicious, unsupported movements
Less reliable, be cautious
Like particles that aren't entangled - the connection is weak
Negative Entanglement
Price and volume move in opposite directions
Often signals divergence or potential reversal
Requires careful interpretation
Information Dashboard:
1. Uncertainty Level
Shows current market unpredictability (the core Heisenberg principle calculation):
✓ Normal (Green) = Market is behaving predictably, safe to trade
⚠ High Risk (Red) = Market is chaotic, avoid trading
This is your first checkpoint - if uncertainty is high, don't proceed further.
2. Probability Score
Shows how normal or extreme the current price is:
Percentage shown = Where price sits in the probability distribution
✓ Safe (Green) = Price in normal range (middle 70%)
⛔ Extreme (Red) = Price at statistical outliers (outer 15%)
High percentage (>85%) = Price near the average, stable situation
Low percentage (<15%) = Price at extremes, unstable situation
3. Position Indicator
Tells you which side of the market you're on:
Upper/Lower = Basic location in the bands
→ Neutral (Gray) = Price in balanced middle zone
⚠ Reversal? (Orange) = Price at extremes, watch for turnaround
This helps you anticipate potential support or resistance levels.
4. Entanglement Confirmation
Shows the correlation number and interpretation:
✓ Confirmed (Green) = Volume strongly supports price (>0.5)
⚠ Weak (Orange) = Poor volume support (<0.5)
Always prefer trading when entanglement is confirmed - it means the move is "real" with participant backing.
5. Trade Status - YOUR MAIN SIGNAL
This is the indicator's final verdict combining all factors:
✓ TRADEABLE (Green)
Uncertainty is normal
Probability is safe
Entanglement is decent
Action: Market conditions favor trading
⛔ AVOID (Red)
One or more conditions are unfavorable
Market is too unpredictable
Action: Stay out, preserve capital.
Scenario A: Perfect Buy Setup
Red triangle appears (quantum tunneling down)
Position shows "Lower" with "⚠ Reversal?" warning
Entanglement shows "✓ Confirmed"
Trade Status: "✓ TRADEABLE"
Interpretation: Price hit extreme low with volume support, likely to bounce back to probability zone
Action: Consider long entry with stop below recent low
Scenario B: Perfect Sell Setup
Green triangle appears (quantum tunneling up)
Position shows "Upper" with "⚠ Reversal?" warning
Entanglement shows "✓ Confirmed"
Trade Status: "✓ TRADEABLE"
Interpretation: Price hit extreme high, exhaustion in high uncertainty zone
Action: Consider short entry or exit longs with stop above recent high
Scenario C: High Uncertainty - Stay Out
Uncertainty shows "⚠ High Risk"
Probability shows "⛔ Extreme"
Trade Status: "⛔ AVOID"
Interpretation: Both price and momentum uncertainties are high - market is fundamentally unpredictable (Heisenberg principle in action)
Action: No trading, wait for uncertainty to decrease
Scenario D: Trending Market
Price consistently stays in upper bands
No tunneling signals
Entanglement remains high
Trade Status stays "✓ TRADEABLE"
Interpretation: Strong trend with low uncertainty
Action: Trade with the trend, don't fight it
Scenario E: Choppy, Range-Bound
Price bounces between inner blue bands
Frequent status changes between TRADEABLE and AVOID
Entanglement fluctuates
Interpretation: Market lacks direction, uncertainty fluctuating
Action: Use bands as support/resistance for scalping, or wait for breakout.
Why The Uncertainty Principle Matters In Trading
Traditional technical analysis often looks at indicators in isolation:
"RSI is oversold, so buy"
"Price is volatile, so wait"
"Volume is high, so trade"
But Heisenberg's principle teaches us that multiple uncertainties interact and compound. This indicator recognizes that truth:
When price volatility is high AND momentum is erratic:
You can't reliably predict where price will go
You can't reliably predict how strong the move will be
The combination creates fundamental unpredictability
This is when the indicator says "AVOID"
When price volatility is low AND momentum is stable:
Price behavior becomes more regular
Directional moves become more reliable
The low combined uncertainty creates tradeable conditions
This is when the indicator says "TRADEABLE"
The Probability Wave Function
In quantum mechanics, until you measure a particle, it exists in all possible states simultaneously (superposition). The probability wave describes where it's most likely to be found.
The bands work the same way:
Blue bands = Where price has 68% probability of being (1 standard deviation)
Purple bands = Where price has 95% probability of being (2 standard deviations)
Outside bands = Less than 5% probability (quantum tunneling territory)
When price is in the blue zone, it's in its "natural" superposition state - normal behavior.
When price tunnels outside, it's in an "improbable" state - like a quantum particle appearing where it shouldn't be. Physics tells us this can't last - the wave function will collapse back to normal probability zones. In trading, this means reversion to the mean.
Entanglement and Market Correlation
Quantum entanglement shows us that connections matter - particles don't act in isolation.
In markets:
Price shouldn't move in isolation from volume
When they're "entangled" (moving together), the move is authentic
When they're not entangled (price moves without volume), the move is suspicious
This is why the indicator checks entanglement - it's verifying that the market components are properly connected and confirming each other.
Golden Rules for the indicator:
Never trade during high uncertainty states - When the indicator shows AVOID, it's telling you that fundamental unpredictability (Heisenberg's principle) has taken over. This is non-negotiable.
Reduce position size when entanglement is weak - Even if uncertainty is low, weak volume entanglement means the move may not be authentic.
Respect the quantum tunneling signals - They mark statistical extremes where price has entered improbable territory. Reversion to normal probability zones is likely.
Don't chase price outside the bands - If you missed the tunneling entry, wait for price to return to normal probability zones.
Use the white center line as equilibrium - Like particles gravitating toward lower energy states, price tends to revert to its average.
Heisenberg's Uncertainty Principle teaches us a profound lesson: some things are fundamentally unknowable. You cannot eliminate uncertainty - you can only measure it and decide whether it's low enough to act.
This indicator embraces that wisdom:
It doesn't claim to predict the future
It doesn't promise guaranteed wins
It simply measures current uncertainty
And tells you when conditions are favorable vs. unfavorable
The market, like quantum particles, is probabilistic, not deterministic. You're trading probabilities, not certainties. The indicator helps you identify when those probabilities are in your favor (low uncertainty) and when they're not (high uncertainty).
This is a more mature, realistic approach to trading than indicators that promise to "predict" moves. Instead, this indicator honestly assesses predictability itself.
Remember: Not trading during high uncertainty is just as important as trading during low uncertainty. Preservation of capital is the foundation of long-term success. As Heisenberg taught us, some moments are simply too uncertain to act - and that's okay.
Chart attached: -NSE Persistent, EoD 05/12/25, Day Time Frame.
DISCLAIMER: This information is provided for educational purposes only and should not be considered financial, investment, or trading advice. Please do boost if you like it. Happy Trading.
RSI Median DeviationRSI Median Deviation
Thank you to @QuantumResearch for part of the code and inspiration!
Introduction:
With my first published indicator i wanted to start simple, so i created a RSI that has no static OB/OS signals and can act as a Momentum-Strength-Gauge.
Inspiration came from the Median Deviation Bands indicator by QuantumResearch!
TL;DR:
Traditional RSI says "70 is overbought" like it's a universal law. Guess what: it's not .
This indicator figures out where overbought and oversold actually are for your specific chart and timeframe, using real statistics.
What Makes it Different
Most RSI indicators slap horizontal lines at 70/30 and call it a day. Problem is, that works great... until it doesn't. In a strong trend, RSI can camp out above 70 for weeks. In choppy markets, it'll ping-pong across those levels.
RSI Median Deviation takes a smarter approach:
1. Adaptive zones that move with your data
2. Median + standard deviation bands (the 50th percentile ±2σ) that show where RSI is statistically extreme
3. Rare signals that actually mean something
4. Optional smoothed bands that adapt to current market conditions in real-time
Think of it like this: instead of asking "is RSI above 70?", we're asking "is RSI acting weird compared to its recent behavior?"
Key Features
- Statistical bands built from the RSI's actual median and standard deviation
- Multiple MA options (TEMA, WMA, HMA, ALMA, etc.) for smoothing.
- Dual detection modes: Pure stats OR MA bands
- Background highlighting when something genuinely extreme happens
- Diamond markers for ultra-rare RSI readings (<25 or >85)
- 9 color themes
- Works on all timeframes
How to Actually Use This Thing
1. Trend Bias
RSI line turns green above 60 (bullish bias), red below 47 (bearish bias).
2. Mean-Reversion Plays
Dark green background = RSI dropped below the lower 2σ band → statistically oversold
Dark magenta background = RSI spiked above the upper 2σ band → statistically overbought
3. Momentum Strength Gauge
Watch the distance between the smoothed RSI and the median line:
Wide gap = strong trend in play
Converging = momentum dying, consolidation likely
4. Extra Confirmation
Those diamond shapes at the top/bottom? That's RSI hitting <25 or >85 – genuinely extreme territory.
Recommended Settings:
RSI Length: 10
Median Length: 28
SD Length: 27
RSI MA Type: TEMA
RSI MA Length: 27
Band MA Type: WMA
Band Length: 37
The standard settings are optimized to have maximum use on all assets.
Works on everything, especially on daily or 4h charts for swing/position trading.
Last words:
RSI Median Deviation is the version that only gives signals if the ROC of your data is on the extreme side.
It'll give you fewer, better signals based on what's actually happening in the markets.
Perfect for traders who'd rather have quality over quantity.
Helix Protocol 7HELIX PROTOCOL 7
Overview
Helix Protocol 7 is an advanced trend-adaptive signal engine that dynamically adjusts its buy/sell thresholds based on real-time market regime detection. Unlike static indicators that use fixed overbought/oversold levels, Helix 7 recognizes that optimal entry and exit points shift dramatically depending on whether the market is trending strongly, ranging, or reversing.
The indicator fuses multiple analytical frameworks—momentum oscillators, trend strength metrics, volatility analysis, volume confirmation, and price structure—into a unified signal system that adapts to changing market conditions in real-time.
Core Philosophy
"Don't fight the trend—adapt to it."
In a strong uptrend, you want to buy dips early (before extreme oversold) and let winners run longer
In a downtrend, you want to sell bounces quickly and only buy true capitulation
In a neutral/ranging market, standard overbought/oversold levels apply
Helix Protocol 7 automatically detects which regime you're in and applies the appropriate thresholds.
Key Features
🔄 Trend-Adaptive Signal Thresholds
The indicator classifies markets into four states and adjusts Fisher Transform and RSI thresholds accordingly:
Trend StateDetection CriteriaBUY TriggersSELL TriggersSTRONG UPTRENDADX rising, ADX > 25, +DI > -DIFisher < 1.0, RSI < 50Fisher > 2.5, RSI > 70STRONG DOWNTRENDADX rising, ADX > 25, -DI > +DIFisher < -2.5, RSI < 25Fisher > 1.5, RSI > 60WEAK DOWNTRENDADX falling, -DI > +DIFisher < -2.5, RSI < 25Fisher > 1.5, RSI > 60NEUTRALDefault fallbackFisher < -2.0, RSI < 30Fisher > 2.0, RSI > 65
📊 Dynamic Envelope Bands
Adaptive bands that expand and contract based on:
ATR (Average True Range) - Base volatility measure
ADX (Trend Strength) - Bands widen in strong trends
Chaikin Oscillator - Volume-weighted band adjustment
🎯 Multi-Trigger Signal System
Signals can fire from multiple sources:
Trend-Based Signals - Fisher + RSI thresholds met for current regime
Band Touch Signals - Price touches upper/lower band (support/resistance)
EXTREME Signals - Price penetrates band by significant amount (bypasses cooldown)
⚡ Extreme Move Detection
When price makes an explosive move that penetrates the band by more than 30% of ATR (configurable), the signal fires with EXTREME priority and bypasses the normal cooldown period. This ensures you never miss major reversal opportunities.
📈 GXS Scoring System
A proprietary multi-factor scoring system (-1.0 to +1.0) that weighs:
Trend Strength (30%) - ADX direction and magnitude
Momentum (25%) - RSI, MACD, Stochastic, CCI, ROC consensus
Volume (20%) - OBV trend and volume surge detection
Price Structure (15%) - Band position and volatility percentile
Price Action (10%) - Bullish/bearish candle ratio
🔀 RSI Divergence Detection
Automatically detects and displays:
Regular Bullish Divergence - Price lower low + RSI higher low (reversal up)
Regular Bearish Divergence - Price higher high + RSI lower high (reversal down)
Hidden Bullish Divergence - Trend continuation signal (uptrend)
Hidden Bearish Divergence - Trend continuation signal (downtrend)
📉 BBWP Volatility Meter
Bollinger Band Width Percentile measures current volatility relative to historical norms:
LOW (< 30%) - Volatility compression, breakout imminent
MEDIUM (30-70%) - Normal market conditions
HIGH (> 70%) - Extended volatility, potential exhaustion
Visual Components
Money Line
A dynamic centerline (Linear Regression or Weighted EMA) colored by slope:
🟢 Green - Rising (bullish momentum)
🔴 Red - Falling (bearish momentum)
🟡 Yellow - Flat (consolidation)
Envelope Cloud
Shaded region between upper and lower bands, colored by Money Line slope direction for instant trend visualization.
Signal Labels
Clear entry/exit labels showing:
Price level
Trigger type (UPTREND DIP, CAPITULATION, BAND TOUCH, EXTREME, etc.)
Color coding (Green=Buy, Red=Sell, Lime=Extreme Buy, Fuchsia=Extreme Sell)
ADX Trend Bar
Bottom indicator showing trend state:
🟢 Lime - Strong Uptrend
🔴 Red - Downtrend
🟠 Orange - Weak/Transitional (ADX 15-24)
⚪ White - Ranging (ADX < 15)
🔵 Blue - Strong trend, neutral direction
Info Panel
Real-time dashboard displaying:
Current trend state
GXS Score
Active divergences
Volatility level (BBWP)
ADX value and direction
DI Spread
Fisher Transform value
RSI value
Context-sensitive BUY/SELL thresholds for current regime
Alert System
JSON Webhook Alerts (Bot-Ready)
json{
"action": "BUY",
"symbol": "BTC/USDT",
"price": "93500.00",
"trigger": "EXTREME",
"rsi": "28.5",
"fisher": "-2.31",
"adx": "32.4",
"trend_state": "STRONG DOWN"
}
Available Alert Conditions
Buy Signal / Sell Signal
Lower Band Touch / Upper Band Touch
EXTREME Lower Band / EXTREME Upper Band
Strong Uptrend Started
Downtrend Started
Neutral Trend Started
Trend State Change
Recommended Settings
Scalping (1m-5m)
Signal Cooldown: 3-5 bars
Extreme Penetration: 0.2 (more sensitive)
ADX Length: 10-12
Swing Trading (15m-4H)
Signal Cooldown: 5-8 bars
Extreme Penetration: 0.3 (default)
ADX Length: 14 (default)
Position Trading (Daily+)
Signal Cooldown: 8-12 bars
Extreme Penetration: 0.4-0.5 (less sensitive)
ADX Length: 14-20
Input Parameters
Core Settings
Money Line Type (Linear Regression / Weighted EMA)
Money Line Length
RSI Period
Fisher Period
Dynamic Bands
ATR Period & Multiplier
Adaptive Bands toggle
Chaikin Weight
Extreme Band Penetration threshold
Trend Detection
ADX Length & Slope Lookback
Strong Trend ADX Threshold
DI Spread for Neutral detection
Signal Thresholds (by Trend State)
Fully customizable Fisher/RSI/ADX levels for each regime
Separate BUY and SELL parameters
Display Options
Toggle bands, cloud, labels, panels
Cooldown period
Debug panel for troubleshooting
Best Practices
Confirm with price action - Signals are high-probability setups, not guarantees
Respect the trend state - The panel shows current thresholds for a reason
Watch for EXTREME signals - These indicate significant reversals
Use divergences as confluence - Especially powerful at band touches
Monitor volatility - Low BBWP often precedes big moves
Version: 7.0
Author: ralis24
NQ-VIX Expected Move LevelsNQ -VIX Daily Price Bands
This indicator plots dynamic intraday price bands for NQ futures based on real-time volatility levels measured by the VIX (CBOE Volatility Index). The bands evolve throughout the trading day, providing volatility-adjusted price targets.
Formulas:
Upper Band = Daily Open + (NQ Price × VIX ÷ √252 ÷ 100)
Lower Band = Daily Open - (NQ Price × VIX ÷ √252 ÷ 100)
The calculation uses the square root of 252 (trading days per year) to convert annualized VIX volatility into an expected daily move, then scales it as a percentage adjustment from the current day's open.
Features:
Real-time band calculation that updates throughout the trading session
Upper band (green) extends from the current day's open
Lower band (red) contracts from the current day's open
Inner upper band (green) at 50% of expected move
Inner lower band (red) at 50% of expected move
Middle Inner upper band (green) at 80% of expected move
Middle Inner lower band (red) at 80% of expected move
Information table displaying:
Current NQ price and VIX level
Daily Open
Expected move
NQ-VIX Expected Move LTF LevelsNQ -VIX LTF Price Bands
This indicator plots dynamic intraday price bands for NQ futures based on real-time volatility levels measured by the VIX (CBOE Volatility Index). The bands evolve throughout the trading day, providing volatility-adjusted price targets.
Formulas:
Upper Band = (Input TF Open) + (NQ Price × VIX x √(Input TF ÷ (23h in min) ) ÷ 100
Lower Band = Daily Open - (NQ Price × VIX x √(Input TF ÷ (23h in min) ) ÷ 100
The calculation uses the square root of Input TF ÷ (23h in min) to convert annualized VIX volatility into an expected TF move, then scales it as a percentage adjustment from the current TF input's open.
Features:
Real-time band calculation that updates throughout the trading session
Upper band (green) extends from the current TF's open
Lower band (red) contracts from the current TF's open
Inner upper band (green) at 50% of expected move
Inner lower band (red) at 50% of expected move
Middle Inner upper band (green) at 80% of expected move
Middle Inner lower band (red) at 80% of expected move
Information table displaying:
Current input TF
Current NQ price and VIX level
Current input TF Open
Expected move
ES-VIX Expected Move LTF LevelsES-VIX LTF Price Bands
This indicator plots dynamic intraday price bands for ES futures based on real-time volatility levels measured by the VIX (CBOE Volatility Index). The bands evolve throughout the trading day, providing volatility-adjusted price targets.
Formulas:
Upper Band = (Input TF Open) + (ES Price × VIX x √(Input TF ÷ (23h in min) ) ÷ 100
Lower Band = Daily Open - (ES Price × VIX x √(Input TF ÷ (23h in min) ) ÷ 100
The calculation uses the square root of Input TF ÷ (23h in min) to convert annualized VIX volatility into an expected TF move, then scales it as a percentage adjustment from the current TF input's open.
Features:
Real-time band calculation that updates throughout the trading session
Upper band (green) extends from the current TF's open
Lower band (red) contracts from the current TF's open
Inner upper band (green) at 50% of expected move
Inner lower band (red) at 50% of expected move
Middle Inner upper band (green) at 80% of expected move
Middle Inner lower band (red) at 80% of expected move
Information table displaying:
Current input TF
Current ES price and VIX level
Current input TF Open
Expected move
ES-VIX Expected Move - Open basedES-VIX Daily Price Bands
This indicator plots dynamic intraday price bands for ES futures based on real-time volatility levels measured by the VIX (CBOE Volatility Index). The bands evolve throughout the trading day, providing volatility-adjusted price targets.
Formulas:
Upper Band = Daily Open + (ES Price × VIX ÷ √252 ÷ 100)
Lower Band = Daily Open - (ES Price × VIX ÷ √252 ÷ 100)
The calculation uses the square root of 252 (trading days per year) to convert annualized VIX volatility into an expected daily move, then scales it as a percentage adjustment from the current day's open.
Features:
Real-time band calculation that updates throughout the trading session
Upper band (green) extends from the current day's open
Lower band (red) contracts from the current day's open
Inner upper band (green) at 50% of expected move
Inner lower band (red) at 50% of expected move
Middle Inner upper band (green) at 80% of expected move
Middle Inner lower band (red) at 80% of expected move
Information table displaying:
Current ES price and VIX level
Daily Open
Expected move
Daily 12/21 EMA OverlayDaily 12/21 EMA Overlay
This indicator projects the daily 12 and 21 EMAs onto any timeframe as a soft, semi-transparent band. It is designed to give a constant higher-timeframe bias and dynamic support/resistance reference while you execute your systems on lower timeframes (4H, 1H, 15m, etc.).
The script uses request.security() to calculate the 12/21 EMAs on the daily chart only, then overlays those values on your current timeframe without recalculating them locally. This means the band always represents the true daily 12/21 EMAs, regardless of the chart you are viewing.
Key Features:
Fixed daily 12/21 EMA band, visible on all timeframes
Faded lines and fill to keep focus on your active intraday tools
Simple, minimal inputs (fast length, slow length, colors, band visibility)
Ideal as a higher-timeframe “backdrop” for systems built around EMA trend, rejections, or liquidity sweeps
How to Use
Add the indicator on any symbol and timeframe
Keep your normal intraday EMAs (e.g., EMA 12/21) for execution
Note: You can change the bands to not just be 12 or 21, you can change them if needed for your own systems or emas that you use.
This tool is intentionally lightweight: it does one job—showing the true daily EMA structure across all timeframes—and leaves trade execution logic to your primary system.
Dynamic Fair-Value Ribbon Pro @darshakssc1. What This Indicator Is (In Simple Terms)
The Dynamic Fair-Value Ribbon Pro is a visual tool that helps you see how price behaves around a statistically derived “fair-value zone”:
A colored ribbon/cloud marks a central “fair” area.
Areas above the ribbon are labeled as “Unfair High Zone”.
Areas below the ribbon are labeled as “Unfair Low Zone”.
A small state panel tells you where price currently sits relative to this ribbon.
All calculations are based only on historical price, volume, and volatility.
It does not predict future price, does not give buy/sell signals, and is not financial advice.
2. Adding the Indicator
Open a chart on TradingView.
Click on Indicators .
Search for “Dynamic Fair-Value Ribbon Pro” .
Click to add it to your chart.
You will see:
A cloud/ribbon around price.
Colored bars when price is outside the ribbon.
A panel in the top right describing the current state.
3. Core Concept: Fair vs Unfair Zones (Analytical Only)
The indicator tries to answer a descriptive question:
“Where is price trading relative to a historically derived central area?”
It does this by:
Calculating a central value (“fair mid”).
Building a band around that mid.
Coloring the chart depending on whether price is inside or outside that band.
It is not claiming that:
Price “must” return to the band.
Price is “overvalued” or “undervalued”.
Any state is good or bad.
It is simply a visual classification tool .
4. Engine Modes — How the Ribbon Is Calculated
Under “Fair-Value Engine” you can choose:
4.1 Mode 1: Range
Looks back over a chosen number of bars (default: 100).
Finds the highest high and lowest low in that window.
Defines a central “slice” of that range as the fair-value ribbon :
Range Mode: Lower Percent → bottom boundary of the slice (e.g., 30%).
Range Mode: Upper Percent → top boundary of the slice (e.g., 70%).
Effect:
The ribbon represents a middle portion of the historical range .
Above the ribbon = “Unfair High Zone” (analytical label only).
Below the ribbon = “Unfair Low Zone”.
This is purely statistical — it does not mean price is wrong or will revert.
4.2 Mode 2: VWAP + Stdev
In this mode, the central value is based on VWAP :
VWAP (Volume-Weighted Average Price) is used as the midline.
A standard deviation envelope is built around VWAP:
VWAP Mode: Stdev Multiplier controls how wide that envelope is.
Effect:
The ribbon shows where price is trading relative to a volume-weighted average .
Again, areas above and below are just described as “unfair” zones in a visual, analytical sense , not a predictive one.
5. ATR Adaptive Width — Making the Ribbon React to Volatility
Under “ATR Adaptive Width” :
Use ATR Adaptive Width:
On: the band width scales with volatility.
Off: band width stays fixed based on Range or VWAP settings.
ATR Length: how many bars to use for ATR.
Reference ATR (% of price): a reference level for normal volatility.
Min Width Scale / Max Width Scale: clamps the scaling so that the band doesn’t get too narrow or too wide.
What this does (analytically):
When volatility (ATR) is higher than the reference, the band can become wider .
When volatility is lower , the band can become narrower .
This is a mathematical rescaling only and does not imply any optimal levels or performance.
6. Visual Elements — What You See on the Chart
6.1 Fair-Value Ribbon (Cloud)
The cloud between Fair Ribbon Low and Fair Ribbon High is the fair zone .
Color can be changed via “Fair Ribbon Color” .
6.2 Midline
If “Show Center Line” is enabled:
A line runs through the middle of the ribbon.
In Range mode, this is the average of the upper and lower band.
In VWAP mode, it’s essentially the VWAP-based mid.
This line is for visual reference only and makes no claims about support, resistance, or reversion.
6.3 Bar Colors
Unfair High Zone: bars are colored with Unfair High Bar Color.
Unfair Low Zone: bars are colored with Unfair Low Bar Color.
Inside the ribbon:
If “Fade Bars Inside Fair Zone” is ON, bars may be more faded/neutral.
These colors are simply classification highlights ; they do not tell you what to do.
6.4 State Panel (Top Right)
If “Show State Panel” is enabled, you’ll see a small box that displays:
Current engine:
Range or VWAP+Stdev.
Current price state:
Inside Ribbon (Fair Zone)
Above Ribbon (Unfair High Zone)
Below Ribbon (Unfair Low Zone)
This is a quick summary of where price sits relative to the computed ribbon.
7. Typical Ways to Use It (Informational Only)
The indicator can help you visually:
See when price is spending time inside a historically defined central zone.
Notice when price is frequently trading outside that zone.
Compare different timeframes (e.g., 5m vs 1h vs 4h) to see how the fair zone shifts.
Experiment with:
Range length (shorter vs longer lookback).
VWAP vs Range mode.
ATR adaptation on/off.
Important:
Any interpretation of these visuals is entirely up to the user.
The script does not tell you to buy, sell, hold, or do anything specific.
8. Limitations and Important Notes
All calculations use past data only (price, volume, volatility).
The ribbon does not guarantee:
that price will revert,
that zones will hold,
or that any outcome will occur.
There are no built-in signals such as “long/short” or automatic entries/exits.
The script is best used as a supporting, visual layer alongside other tools or methods you choose.
9. Disclaimer
This indicator is:
Strictly informational and educational.
Not a trading system or strategy.
Not financial advice or a recommendation.
Not guaranteed to be accurate, complete, or suitable for any specific purpose.
Users should always perform their own research and due diligence.
Past behavior of any visual pattern or zone does not guarantee future behavior.
CCI ±100 Price Deviation with SMA & VWAP Trend ColorIndicator Synopsis: CCI ±100 Price Deviation with SMA & VWAP
Purpose:
This indicator combines trend filtering, momentum smoothing, and dynamic price bands to help identify intraday trading opportunities. It’s designed for:
15-minute chart → trend identification
1–2 minute chart → precise entries based on dynamic bands
Components:
SMA of Typical Price (smaTP)
Smooth average of the current bar’s typical price (hlc3).
Acts as a dynamic midpoint for the ±100 deviation bands.
±100 Deviation Bands
Calculated using a modified CCI formula:
Upper = SMA TP + 0.015 × MAD × 100
Lower = SMA TP - 0.015 × MAD × 100
Works as dynamic support/resistance and potential reversal zones.
SMA of CCI length (scaled to price)
Smooths the CCI momentum signal to the price scale.
Acts as a confirmation filter for trade direction near bands.
Optional toggle and customizable color/line width.
VWAP (Volume Weighted Average Price)
Optional overlay with trend-based coloring:
Price above VWAP → bullish → green
Price below VWAP → bearish → red
Acts as primary trend filter.
How to Use the Indicator
Step 1: Determine Trend (15-minute chart)
Check VWAP trend:
Price > VWAP → bullish trend → only consider long trades
Price < VWAP → bearish trend → only consider short trades
Confirm with SMA TP slope:
Rising SMA → bullish bias
Falling SMA → bearish bias
This ensures you only trade in the direction of the intraday trend.
Zero Lag Trend Signals (MTF) [Quant Trading] V7Overview
The Zero Lag Trend Signals (MTF) V7 is a comprehensive trend-following strategy that combines Zero Lag Exponential Moving Average (ZLEMA) with volatility-based bands to identify high-probability trade entries and exits. This strategy is designed to reduce lag inherent in traditional moving averages while incorporating dynamic risk management through ATR-based stops and multiple exit mechanisms.
This is a longer term horizon strategy that takes limited trades. It is not a high frequency trading and therefore will also have limited data and not > 100 trades.
How It Works
Core Signal Generation:
The strategy uses a Zero Lag EMA (ZLEMA) calculated by applying an EMA to price data that has been adjusted for lag:
Calculate lag period: floor((length - 1) / 2)
Apply lag correction: src + (src - src )
Calculate ZLEMA: EMA of lag-corrected price
Volatility bands are created using the highest ATR over a lookback period multiplied by a band multiplier. These bands are added to and subtracted from the ZLEMA line to create upper and lower boundaries.
Trend Detection:
The strategy maintains a trend variable that switches between bullish (1) and bearish (-1):
Long Signal: Triggers when price crosses above ZLEMA + volatility band
Short Signal: Triggers when price crosses below ZLEMA - volatility band
Optional ZLEMA Trend Confirmation:
When enabled, this filter requires ZLEMA to show directional momentum before entry:
Bullish Confirmation: ZLEMA must increase for 4 consecutive bars
Bearish Confirmation: ZLEMA must decrease for 4 consecutive bars
This additional filter helps avoid false signals in choppy or ranging markets.
Risk Management Features:
The strategy includes multiple stop-loss and take-profit mechanisms:
Volatility-Based Stops: Default stop-loss is placed at ZLEMA ± volatility band
ATR-Based Stops: Dynamic stop-loss calculated as entry price ± (ATR × multiplier)
ATR Trailing Stop: Ratcheting stop-loss that follows price but never moves against position
Risk-Reward Profit Target: Take-profit level set as a multiple of stop distance
Break-Even Stop: Moves stop to entry price after reaching specified R:R ratio
Trend-Based Exit: Closes position when price crosses EMA in opposite direction
Performance Tracking:
The strategy includes optional features for monitoring and analyzing trades:
Floating Statistics Table: Displays key metrics including win rate, GOA (Gain on Account), net P&L, and max drawdown
Trade Log Labels: Shows entry/exit prices, P&L, bars held, and exit reason for each closed trade
CSV Export Fields: Outputs trade data for external analysis
Default Strategy Settings
Commission & Slippage:
Commission: 0.1% per trade
Slippage: 3 ticks
Initial Capital: $1,000
Position Size: 100% of equity per trade
Main Calculation Parameters:
Length: 70 (range: 70-7000) - Controls ZLEMA calculation period
Band Multiplier: 1.2 - Adjusts width of volatility bands
Entry Conditions (All Disabled by Default):
Use ZLEMA Trend Confirmation: OFF - Requires ZLEMA directional momentum
Re-Enter on Long Trend: OFF - Allows multiple entries during sustained trends
Short Trades:
Allow Short Trades: OFF - Strategy is long-only by default
Performance Settings (All Disabled by Default):
Use Profit Target: OFF
Profit Target Risk-Reward Ratio: 2.0 (when enabled)
Dynamic TP/SL (All Disabled by Default):
Use ATR-Based Stop-Loss & Take-Profit: OFF
ATR Length: 14
Stop-Loss ATR Multiplier: 1.5
Profit Target ATR Multiplier: 2.5
Use ATR Trailing Stop: OFF
Trailing Stop ATR Multiplier: 1.5
Use Break-Even Stop-Loss: OFF
Move SL to Break-Even After RR: 1.5
Use Trend-Based Take Profit: OFF
EMA Exit Length: 9
Trade Data Display (All Disabled by Default):
Show Floating Stats Table: OFF
Show Trade Log Labels: OFF
Enable CSV Export: OFF
Trade Label Vertical Offset: 0.5
Backtesting Date Range:
Start Date: January 1, 2018
End Date: December 31, 2069
Important Usage Notes
Default Configuration: The strategy operates in its most basic form with default settings - using only ZLEMA crossovers with volatility bands and volatility-based stop-losses. All advanced features must be manually enabled.
Stop-Loss Priority: If multiple stop-loss methods are enabled simultaneously, the strategy will use whichever condition is hit first. ATR-based stops override volatility-based stops when enabled.
Long-Only by Default: Short trading is disabled by default. Enable "Allow Short Trades" to trade both directions.
Performance Monitoring: Enable the floating stats table and trade log labels to visualize strategy performance during backtesting.
Exit Mechanisms: The strategy can exit trades through multiple methods: stop-loss hit, take-profit reached, trend reversal, or trailing stop activation. The trade log identifies which exit method was used.
Re-Entry Logic: When "Re-Enter on Long Trend" is enabled with ZLEMA trend confirmation, the strategy can take multiple long positions during extended uptrends as long as all entry conditions remain valid.
Capital Efficiency: Default setting uses 100% of equity per trade. Adjust "default_qty_value" to manage position sizing based on risk tolerance.
Realistic Backtesting: Strategy includes commission (0.1%) and slippage (3 ticks) to provide realistic performance expectations. These values should be adjusted based on your broker and market conditions.
Recommended Use Cases
Trending Markets: Best suited for markets with clear directional moves where trend-following strategies excel
Medium to Long-Term Trading: The default length of 70 makes this strategy more appropriate for swing trading rather than scalping
Risk-Conscious Traders: Multiple stop-loss options allow traders to customize risk management to their comfort level
Backtesting & Optimization: Comprehensive performance tracking features make this strategy ideal for testing different parameter combinations
Limitations & Considerations
Like all trend-following strategies, performance may suffer in choppy or ranging markets
Default 100% position sizing means full capital exposure per trade - consider reducing for conservative risk management
Higher length values (70+) reduce signal frequency but may improve signal quality
Multiple simultaneous risk management features may create conflicting exit signals
Past performance shown in backtests does not guarantee future results
Customization Tips
For more aggressive trading:
Reduce length parameter (minimum 70)
Decrease band multiplier for tighter bands
Enable short trades
Use lower profit target R:R ratios
For more conservative trading:
Increase length parameter
Enable ZLEMA trend confirmation
Use wider ATR stop-loss multipliers
Enable break-even stop-loss
Reduce position size from 100% default
For optimal choppy market performance:
Enable ZLEMA trend confirmation
Increase band multiplier
Use tighter profit targets
Avoid re-entry on trend continuation
Visual Elements
The strategy plots several elements on the chart:
ZLEMA line (color-coded by trend direction)
Upper and lower volatility bands
Long entry markers (green triangles)
Short entry markers (red triangles, when enabled)
Stop-loss levels (when positions are open)
Take-profit levels (when enabled and positions are open)
Trailing stop lines (when enabled and positions are open)
Optional ZLEMA trend markers (triangles at highs/lows)
Optional trade log labels showing complete trade information
Exit Reason Codes (for CSV Export)
When CSV export is enabled, exit reasons are coded as:
0 = Manual/Other
1 = Trailing Stop-Loss
2 = Profit Target
3 = ATR Stop-Loss
4 = Trend Change
Conclusion
Zero Lag Trend Signals V7 provides a robust framework for trend-following with extensive customization options. The strategy balances simplicity in its core logic with sophisticated risk management features, making it suitable for both beginner and advanced traders. By reducing moving average lag while incorporating volatility-based signals, it aims to capture trends earlier while managing risk through multiple configurable exit mechanisms.
The modular design allows traders to start with basic trend-following and progressively add complexity through ZLEMA confirmation, multiple stop-loss methods, and advanced exit strategies. Comprehensive performance tracking and export capabilities make this strategy an excellent tool for systematic testing and optimization.
Note: This strategy is provided for educational and backtesting purposes. All trading involves risk. Past performance does not guarantee future results. Always test thoroughly with paper trading before risking real capital, and adjust position sizing and risk parameters according to your risk tolerance and account size.
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TAGS:
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trend following, ZLEMA, zero lag, volatility bands, ATR stops, risk management, swing trading, momentum, trend confirmation, backtesting
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CATEGORY:
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Strategies
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CHART SETUP RECOMMENDATIONS:
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For optimal visualization when publishing:
Use a clean chart with no other indicators overlaid
Select a timeframe that shows multiple trade signals (4H or Daily recommended)
Choose a trending asset (crypto, forex major pairs, or trending stocks work well)
Show at least 6-12 months of data to demonstrate strategy across different market conditions
Enable the floating stats table to display key performance metrics
Ensure all indicator lines (ZLEMA, bands, stops) are clearly visible
Use the default chart type (candlesticks) - avoid Heikin Ashi, Renko, etc.
Make sure symbol information and timeframe are clearly visible
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COMPLIANCE NOTES:
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✅ Open-source publication with complete code visibility
✅ English-only title and description
✅ Detailed explanation of methodology and calculations
✅ Realistic commission (0.1%) and slippage (3 ticks) included
✅ All default parameters clearly documented
✅ Performance limitations and risks disclosed
✅ No unrealistic claims about performance
✅ No guaranteed results promised
✅ Appropriate for public library (original trend-following implementation with ZLEMA)
✅ Educational disclaimers included
✅ All features explained in detail
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Rainbow Price Chart This indicator is a technical and on-chain analysis tool for Bitcoin, designed to help investors better understand the different phases of the market cycle and underlying sentiment. It directly overlays on the price chart (overlay=true).
Indicator Name: "Rainbow Price Chart & V/T Ratio Signals"
General Purpose:
It combines two popular methodologies for visualizing Bitcoin's value and sentiment: the classic "Rainbow Price Chart" and signals derived from the "Value per Transaction Ratio" (V/T Ratio) based on blockchain data. It is ideal for long-term investors looking for strategic entry/exit points.
Main Components:
Rainbow Price Chart:
Concept: Divides Bitcoin's price range into different market "sentiment zones" (e.g., "Bubble Zone," "FOMO Zone," "HODL Zone," "Accumulation Zone," "Buy Zone," "Fire Sale Zone") using colored bands. These bands are calculated as ascending and descending multiples of a base Exponential Moving Average (EMA), configurable by default to 200 periods.
Visualization: The zones are represented with transparent color fills on the price chart. A detailed legend in the top right corner of the chart explains the meaning of each color and sentiment zone.
Important Note: This type of chart is designed to be viewed and analyzed correctly on a logarithmic price scale. The indicator includes a visual reminder to activate this scale.
Value per Transaction (V/T) Ratio Signals:
Concept: Measures the average value per transaction on the Bitcoin blockchain by dividing the total transacted volume in USD by the number of transactions. This ratio is smoothed with an Exponential Moving Average (by default, 7 periods) and is framed within a dynamic Linear Regression Channel (LRC) based on standard deviation.
Signal Generation: Based on the position of the smoothed V/T Ratio within this LRC channel, the indicator generates signals directly on the price chart, such as:
"BOTTOM": Low price, V/T Ratio in the lower band of the LRC.
"SEMI-LOW" / "SEMI-HIGH": Intermediate phases within the channel.
"ATH" (All-Time High): Potentially overvalued price, V/T Ratio in the upper band of the LRC.
On-Chain Data: The indicator requests external daily on-chain data for total transacted volume (TVTVR) and number of transactions (NTRAN) from the Bitcoin blockchain.
Diagnostic Panes: Includes plots of the raw on-chain data (volume and number of transactions) in a separate pane, which are useful for debugging or verifying the data source. The lines for the V/T Ratio itself and its LRC channel are not plotted by default but can be activated in the code for deeper analysis.
Ideal for:
Bitcoin investors and "hodlers" who desire a visual tool that combines price-based market cycle context with fundamental signals derived from on-chain activity, to help identify key moments for accumulation or potential distribution.
Considerations:
Relies on the availability of external on-chain data (QUANDL:BCHAIN) within TradingView.
Functions best on a daily timeframe.
Oculus Ultra Parallel S/R Channel**Oculus Ultra Parallel S/R Channel**
*Version 1.0 | Pine Script v6*
**Overview**
This indicator overlays a statistically-driven support/resistance channel on your chart by fitting a linear regression (median) line and plotting parallel bands at a configurable multiple of standard deviation. It adapts dynamically to both trend and volatility, highlights potential reaction zones, and offers optional alerts when price touches key levels.
**Key Features**
* **Median Regression Line**
Fits a best-fit line through the chosen lookback of price data, showing the underlying trend.
* **Volatility-Based Bands**
Upper and lower bands offset by *N*× standard deviation of regression residuals, capturing dynamic S/R zones.
* **Dynamic Coloring**
* Median line turns **teal** when sloping up, **orange** when sloping down.
* Bands tinted green or red depending on their position relative to the median.
* **Channel Fill**
Optional shaded area between the bands for immediate visual context.
* **Touch Alerts**
Precision alerts and on-chart markers when price touches the support or resistance band, with configurable tick tolerance.
* **Clean Layout**
Minimal lines and plots to avoid chart clutter, adjustable via toggle inputs.
**How to Use**
1. **Apply the Script** – Add to any timeframe in overlay mode.
2. **Configure Inputs** –
* **Channel Length**: Number of bars for regression and volatility calculation.
* **Deviation Factor**: Multiplier for band width (in standard deviations).
* **Show/Hide Elements**: Toggle median line, bands, fill, and touch alerts.
* **Color by Slope**: Enable slope-based median coloring.
* **Touch Tolerance**: Number of ticks within which a band touch is registered.
3. **Interpret the Channel** –
* **Trend**: Follow the slope and color of the median line.
* **Support/Resistance**: Bands represent dynamic zones where price often reacts.
* **Alerts**: Use touch markers or alert pop-ups to time entries or exits at band levels.
**Inputs**
* **Channel Length** (default: 100)
* **Deviation Factor** (default: 1.0)
* **Show Median Regression Line** (true/false)
* **Show Channel Bands** (true/false)
* **Fill Between Bands** (true/false)
* **Color Median by Slope** (true/false)
* **Alert on Band Touch** (true/false)
* **Touch Tolerance (ticks)** (default: 2)
**Version History**
* **1.0** – Initial release with dynamic regression channel, slope coloring, band fill, and touch alerts.
**Disclaimer**
This indicator is intended for educational purposes. Always backtest with your own settings and apply sound risk management before trading live.
My S.T.A.C.K.📊 My S.T.A.C.K. (Simplified TA Combined Kit)
All your favorite technical tools in one clean, customizable overlay.
My S.T.A.C.K. is a power-packed indicator designed to streamline your chart by combining the most commonly used technical analysis tools into a single, space-saving script. Whether you're a trend trader, swing trader, or just looking to declutter your view — this kit gives you everything you need, nothing you don’t.
🔧 Features:
5 Customizable Moving Averages: Choose your type (SMA, EMA, WMA, etc.) and periods to match your strategy.
Bollinger Bands: Visualize volatility and overbought/oversold zones with precision.
Donchian Channels: Spot breakouts and trend reversals based on high/low ranges.
ATR Bands: Adaptive support/resistance zones based on Average True Range.
Clean Visualization: Toggle each element on or off, adjust colors, and focus only on what matters.
✅ Ideal For:
- Traders who want multiple indicators in one place
- Reducing indicator clutter on TradingView
- Quick visual analysis without switching scripts
Bollinger Volatility AnalyzerThe Bollinger Volatility Analyzer (BVA) is a powerful enhancement of the traditional Bollinger Bands indicator, tailored to help traders identify volatility cycles and catch potential breakouts with better precision and timing. It builds upon the foundational concept of Bollinger Bands—using a moving average and standard deviation bands—but adds crucial insights into market contraction and expansion, which can be instrumental in timing entries and exits.
Here's how it works and why it's useful
At its core, the indicator calculates a moving average (called the "basis") and plots two bands—one above and one below—based on a multiple of standard deviation. These bands expand during volatile periods and contract during quiet ones. The width between these bands, normalized as a percentage of the basis, gives us a sense of how compressed or expanded the market currently is. When the band width drops below a user-defined threshold (like 2%), the script highlights this with an orange triangle below the bar. This is the "squeeze" condition, signaling a potential buildup of market energy—a kind of calm before the storm.
What makes this version of Bollinger Bands particularly powerful is that it not only detects squeezes, but also tells you when price breaks out of that squeeze range. If price closes above the upper band after a squeeze, a green "Breakout ↑" label is shown; if it closes below the lower band, a red "Breakout ↓" appears. These breakout labels act as entry signals, suggesting that volatility is returning and a directional move has begun.
This indicator is especially useful in markets that tend to alternate between consolidation and breakout phases, such as forex, crypto, and even individual stocks. Traders who look for early signs of momentum—whether for swing trading, scalping, or position building—can benefit from this tool. During a quiet market phase, the indicator warns you that a move might be coming; when the move starts, it tells you the direction.
In fast-moving markets, BVA helps filter out noise by focusing only on high-probability conditions: quiet consolidation followed by a strong breakout. It’s not a complete system by itself—it works best when paired with volume confirmation or oscillators like RSI—but as a volatility trigger and directional guide, it’s a reliable component of a trading workflow.
BBands Channels with EMAs# **BBands Channels with EMAs Indicator Explanation**
---
## **📌 Feature Overview**
### **1. Bollinger Bands**
- **Basis Line**: 160-period SMA (adjustable)
- **Inner Bands**:
- **Upper**: Basis + 2× Standard Deviation
- **Lower**: Basis - 2× Standard Deviation
- **Outer Bands**:
- **Upper Top**: Basis + 3× Standard Deviation
- **Lower Low**: Basis - 3× Standard Deviation
- **Fill Effect**: Semi-transparent black fill between inner and outer bands
### **2. Exponential Moving Averages (EMAs)**
| Period | Purpose | Line Style |
|--------------|-----------------------------|------------------|
| **EMA 27** | Short-term trend | Thin line |
| **EMA 120** | Short-to-medium-term trend | Medium line |
| **EMA 200** | Medium-term trend | Medium line |
| **EMA 1120** | Ultra-long-term trend | Thick line |
---
## **⚙️ Parameter Settings**
### **Bollinger Bands**
| Parameter | Default | Description |
|---------------|---------|--------------------------------------|
| `length` | 160 | SMA calculation period |
| `mult` | 2.0 | Standard deviation multiplier (inner bands) |
| `multOuter` | 3.0 | Standard deviation multiplier (outer bands) |
| `offset` | 0 | Time offset for plots (±500 bars) |
### **Exponential Moving Averages (EMAs)**
| Parameter | Default | Description |
|-----------------|---------|---------------------------|
| `ema1Length` | 27 | EMA 1 period |
| `ema2Length` | 120 | EMA 2 period |
| `ema3Length` | 200 | EMA 3 period |
| `ema4Length` | 1120 | EMA 4 period |
---
## **📊 Use Cases**
### **1. Trend Confirmation**
- **Bullish Trend**: Price above EMA200 + Bollinger Band expansion
- **Bearish Trend**: Price below EMA200 + Bollinger Band expansion
### **2. Overbought/Oversold Signals**
- **Upper Band Touch**: Price reaches Upper Top → Potential overbought
- **Lower Band Touch**: Price reaches Lower Low → Potential oversold
### **3. Volatility Strategies**
- **Band Squeeze**: Narrowing gap between bands → Breakout warning
- **Band Expansion**: Price breaks outer band → Trend acceleration
---
**✅ Summary**
This indicator combines **Bollinger Bands + Multi-period EMAs** for:
- Trend tracking
- Volatility analysis
- Multi-timeframe strategies
---
# **BBands Channels with EMAs 指標說明**
---
## **📌 功能概述**
### **1. 布林通道 (Bollinger Bands)**
- **基礎線 (Basis Line)**: 160週期SMA（可調整）
- **內通道 (Inner Bands)**:
- 上軌 (Upper): 基礎線 + 2倍標準差
- 下軌 (Lower): 基礎線 - 2倍標準差
- **外通道 (Outer Bands)**:
- 上外軌 (Upper Top): 基礎線 + 3倍標準差
- 下外軌 (Lower Low): 基礎線 - 3倍標準差
- **填充效果**: 內外通道間半透明黑色填充
### **2. 指數移動平均線 (EMAs)**
| 週期 | 用途 | 線條樣式 |
|-------------|-------------------|-----------------|
| **EMA 27** | 短期趨勢 | 細線 |
| **EMA 120** | 中短期趨勢 | 中等線 |
| **EMA 200** | 中期趨勢 | 中等線 |
| **EMA 1120**| 超長期趨勢 | 粗線 |
---
## **⚙️ 參數設定**
### **布林通道 (Bollinger Bands)**
| 參數名 | 預設值 | 說明 |
|-------------|--------|---------------------------|
| `length` | 160 | SMA計算週期 |
| `mult` | 2.0 | 內通道標準差倍數 |
| `multOuter` | 3.0 | 外通道標準差倍數 |
| `offset` | 0 | 線圖時間偏移（±500根K棒） |
### **指數移動平均線 (EMAs)**
| 參數名 | 預設值 | 說明 |
|----------------|---------|-------------------|
| `ema1Length` | 27 | 第一條EMA週期 |
| `ema2Length` | 120 | 第二條EMA週期 |
| `ema3Length` | 200 | 第三條EMA週期 |
| `ema4Length` | 1120 | 第四條EMA週期 |
---
## **📊 應用場景**
### **1. 趨勢確認**
- **多頭趨勢**: 價格在EMA200上方 + 布林通道擴張
- **空頭趨勢**: 價格在EMA200下方 + 布林通道擴張
### **2. 超買超賣信號**
- **觸及外軌**: 價格觸碰Upper Top → 可能超買
- **觸及下軌**: 價格觸碰Lower Low → 可能超賣
### **3. 波動率策略**
- **通道收窄**: 內外通道間距縮小 → 突破預警
- **通道擴張**: 價格突破外軌 → 趨勢加速
---
**✅ 總結**
本指標透過**布林通道+多週期EMA**的組合，適用於：
- 趨勢跟蹤
- 波動率分析
- 多時間框架策略
Stochastic Overlay - Regression Channel (Zeiierman)█ Overview
The Stochastic Overlay – Regression Channel (Zeiierman) is a next-generation visualization tool that transforms the traditional Stochastic Oscillator into a dynamic price-based overlay.
Instead of leaving momentum trapped in a lower subwindow, this indicator projects the Stochastic oscialltor directly onto price itself — allowing traders to visually interpret momentum, overbought/oversold conditions, and market strength without ever taking their eyes off price action.
⚪ In simple terms:
▸ The Bands = The Stochastic Oscillator — but on price.
▸ The Midline = Stochastic 50 level
▸ Upper Band = Stochastic Overbought Threshold
▸ Lower Band = Stochastic Oversold Threshold
When the price moves above the midline → it’s the same as the oscillator moving above 50
When the price breaks above the upper band → it’s the same as Stochastic entering overbought.
When the price reaches the lower band →, think of it like Stochastic being oversold.
This makes market conditions visually intuitive. You’re literally watching the oscillator live on the price chart.
█ How It Works
The indicator layers 3 distinct technical elements into one clean view:
⚪ Stochastic Momentum Engine
Tracks overbought/oversold conditions and directional strength using:
%K Line → Momentum of price
%D Line → Smoothing filter of %K
Overbought/Oversold Bands → Highlight potential reversal zones
⚪ Volatility Adaptive Bands
Dynamic bands plotted above and below price using:
ATR * Stochastic Scaling → Creates wider bands during volatile periods & tighter bands in calm conditions
Basis → Moving average centerline (EMA, SMA, WMA, HMA, RMA selectable)
This means:
→ In strong trends: Bands expand
→ In consolidations: Bands contract
⚪ Regression Channel
Projects trend direction with different models:
Logarithmic → Captures non-linear growth (perfect for crypto or exponential stocks)
Linear → Classic regression fit
Adaptive → Dynamically adjusts sensitivity
Leading → Projects trend further ahead (aggressive mode)
Channels include:
Midline → Fair value trend
Upper/Lower Bounds → Deviation-based support/resistance
⚪ Heatmap - Bull & Bear Power Strength
Visual heatmeter showing:
% dominance of bulls vs bears (based on close > or < Band Basis)
Automatic normalization regardless of timeframe
Table display on-chart for quick visual insight
Dynamic highlighting when extreme levels are reached
⚪ Trend Candlestick Coloring
Bars auto-color based on trend filter:
Above Basis → Bullish Color
Below Basis → Bearish Color
█ How to Use
⚪ Trend Trading
→ Use Band direction + Regression Channel to identify trend alignment
→ Longs favored when price holds above the Basis
→ Shorts favored when price stays below the Basis
→ Use the Bull & Bear heatmap to asses if the bulls or the bears are in control.
⚪ Mean Reversion
→ Look for price to interact with Upper or Lower Band extremes
→ Stochastic reaching OB/OS zones further supports reversals
⚪ Momentum Confirmation
→ Crossovers between %K and %D can confirm continuation or divergence signals
→ Especially powerful when happening at band boundaries
⚪ Strength Heatmap
→ Quickly visualize current buyer vs seller control
→ Sharp spikes in Bull Power = Aggressive buying
→ Sharp spikes in Bear Power = Heavy selling pressure
█ Why It Useful
This is not a typical Stochastic or regression tool. The tool is designed for traders who want to:
React dynamically to price volatility
Map momentum into volatility context
Use adaptive regression channels across trend styles
Visualize bull vs bear power in real-time
Follow trends with built-in reversal logic
█ Settings
Stochastic Settings
Stochastic Length → Period of calculation. Higher = smoother, Lower = faster signals.
%K Smoothing → Smooths the Stochastic line itself.
%D Smoothing → Smooths the moving average of %K for slower signals.
Stochastic Band
Band Length → Length of the Moving Average Basis.
Volatility Multiplier → Controls band width via ATR scaling.
Band Type → Choose MA type (EMA, SMA, WMA, HMA, RMA).
Regression Channel
Regression Type → Logarithmic / Linear / Adaptive / Leading.
Regression Length → Number of bars for regression calculation.
Heatmap Settings
Heatmap Length → Number of bars to calculate bull/bear dominance.
-----------------
Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Adaptive Trend Flow [QuantAlgo]Adaptive Trend Flow 📈🌊
The Adaptive Trend Flow by QuantAlgo is a sophisticated technical indicator that harnesses the power of volatility-adjusted EMAs to navigate market trends with precision. By seamlessly integrating a dynamic dual-EMA system with adaptive volatility bands, this premium tool enables traders and investors to identify and capitalize on sustained market moves while effectively filtering out noise. The indicator's unique approach to trend detection combines classical technical analysis with modern adaptive techniques, providing traders and investors with clear, actionable signals across various market conditions and asset class.
💫 Indicator Architecture
The Adaptive Trend Flow provides a sophisticated framework for assessing market trends through a harmonious blend of EMA dynamics and volatility-based boundary calculations. Unlike traditional moving average systems that use fixed parameters, this indicator incorporates smart volatility measurements to automatically adjust its sensitivity to market conditions. The core algorithm employs a dual EMA system combined with standard deviation-based volatility bands, creating a self-adjusting mechanism that expands and contracts based on market volatility. This adaptive approach allows the indicator to maintain its effectiveness across different market phases - from ranging to trending conditions. The volatility-adjusted bands act as dynamic support and resistance levels, while the gradient visualization system provides instant visual feedback on trend strength and duration.
📊 Technical Composition and Calculation
The Adaptive Trend Flow is composed of several technical components that create a dynamic trending system:
Dual EMA System: Utilizes fast and slow EMAs for primary trend detection
Volatility Integration: Computes and smooths volatility for adaptive band calculation
Dynamic Band Generation: Creates volatility-adjusted boundaries for trend validation
Gradient Visualization: Provides progressive visual feedback on trend strength
📈 Key Indicators and Features
The Adaptive Trend Flow utilizes customizable length parameters for both EMAs and volatility calculations to adapt to different trading styles. The trend detection component evaluates price action relative to the dynamic bands to validate signals and identify potential reversals.
The indicator incorporates multi-layered visualization with:
Color-coded basis and trend lines (bullish/bearish)
Adaptive volatility-based bands
Progressive gradient background for trend duration
Clear trend reversal signals (𝑳/𝑺)
Smooth fills between key levels
Programmable alerts for trend changes
⚡️ Practical Applications and Examples
✅ Add the Indicator: Add the indicator to your TradingView chart by clicking on the star icon to add it to your favorites ⭐️
👀 Monitor Trends: Watch the basis line and trend band interactions to identify trend direction and strength. The gradient background intensity indicates trend duration and conviction.
🎯 Track Signals: Pay attention to the trend reversal markers that appear on the chart:
→ Long signals (𝑳) appear when price action confirms a bullish trend reversal
→ Short signals (𝑺) indicate validated bearish trend reversals
🔔 Set Alerts: Configure alerts for trend changes in both bullish and bearish directions, ensuring you never miss significant technical developments.
🌟 Summary and Tips
The Adaptive Trend Flow by QuantAlgo is a sophisticated technical tool designed to support trend-following strategies across different market environments and asset class. By combining dual EMA analysis with volatility-adjusted bands, it helps traders and investors identify significant trend changes while filtering out market noise, providing validated signals. The tool's adaptability through customizable EMA lengths, volatility smoothing, and sensitivity settings makes it suitable for various trading timeframes and styles, allowing users to capture trending opportunities while maintaining protection against false signals.
Key parameters to optimize for your trading and/or investing style:
Main Length: Adjust for more or less sensitivity to trend changes (default: 10)
Smoothing Length: Fine-tune volatility calculations for signal stability (default: 14)
Sensitivity: Balance band width for trend validation (default: 2.0)
Visual Settings: Customize appearance with color and display options
The Adaptive Trend Flow is particularly effective for:
Identifying sustained market trends
Detecting trend reversals with confirmation
Measuring trend strength and duration
Filtering out market noise and false signals
Remember to:
Allow the indicator to validate trend changes before taking action
Use the gradient background to gauge trend strength
Combine with volume analysis for additional confirmation
Consider multiple timeframes for a complete market view
Adjust sensitivity based on market volatility conditions
[3Commas] Signal BuilderSignal Builder is a tool designed to help traders create custom buy and sell signals by combining multiple technical indicators. Its flexibility allows traders to set conditions based on their specific strategy, whether they’re into scalping, swing trading, or long-term investing. Additionally, its integration with 3Commas bots makes it a powerful choice for those looking to automate their trades, though it’s also ideal for traders who prefer receiving alerts and making manual decisions.
🔵 How does Signal Builder work?
Signal Builder allows users to define custom conditions using popular technical indicators, which, when met, generate clear buy or sell signals. These signals can be used to trigger TradingView alerts, ensuring that you never miss a market opportunity. Additionally, all conditions are evaluated using "AND" logic, meaning signals are only activated when all user-defined conditions are met. This increases precision and helps avoid false signals.
🔵 Available indicators and recommended settings:
Signal Builder provides access to a wide range of technical indicators, each customizable to popular settings that maximize effectiveness:
RSI (Relative Strength Index): An oscillator that measures the relative strength of price over a specific period. Traders typically configure it with 14 periods, using levels of 30 (oversold) and 70 (overbought) to identify potential reversals.
MACD (Moving Average Convergence Divergence): A key indicator tracking the crossover between two moving averages. Common settings include 12 and 26 periods for the moving averages, with a 9-period signal line to detect trend changes.
Ultimate Oscillator: Combines three different time frames to offer a comprehensive view of buying and selling pressure. Popular settings are 7, 14, and 28 periods.
Bollinger Bands %B: Provides insight into where the price is relative to its upper and lower bands. Standard settings include a 20-period moving average and a standard deviation of 2.
ADX (Average Directional Index): Measures the strength of a trend. Values above 25 typically indicate a strong trend, while values below suggest weak or sideways movement.
Stochastic Oscillator: A momentum indicator comparing the closing price to its range over a defined period. Popular configurations include 14 periods for %K and 3 for %D smoothing.
Parabolic SAR: Ideal for identifying trend reversals and entry/exit points. Commonly configured with a 0.02 step and a 0.2 maximum.
Money Flow Index (MFI): Similar to RSI but incorporates volume into the calculation. Standard settings use 14 periods, with levels of 20 and 80 as oversold and overbought thresholds.
Commodity Channel Index (CCI): Measures the deviation of price from its average. Traders often use a 20-period setting with levels of +100 and -100 to identify extreme overbought or oversold conditions.
Heikin Ashi Candles: These candles smooth out price fluctuations to show clearer trends. Commonly used in trend-following strategies to filter market noise.
🔵 How to use Signal Builder:
Configure indicators: Select the indicators that best fit your strategy and adjust their settings as needed. You can combine multiple indicators to define precise entry and exit conditions.
Define custom signals: Create buy or sell conditions that trigger when your selected indicators meet the criteria you’ve set. For example, configure a buy signal when RSI crosses above 30 and MACD confirms with a bullish crossover.
TradingView alerts: Set up alerts in TradingView to receive real-time notifications when the conditions you’ve defined are met, allowing you to react quickly to market opportunities without constantly monitoring charts.
Monitor with the panel: Signal Builder includes a visual panel that shows active conditions for each indicator in real time, helping you keep track of signals without manually checking each indicator.
🔵 3Commas integration:
In addition to being a valuable tool for any trader, Signal Builder is optimized to work seamlessly with 3Commas bots through Webhooks. This allows you to automate your trades based on the signals you’ve configured, ensuring that no opportunity is missed when your defined conditions are met. If you prefer automation, Signal Builder can send buy or sell signals to your 3Commas bots, enhancing your trading process and helping you manage multiple trades more efficiently.
🔵 Example of use:
Imagine you trade in volatile markets and want to trigger a sell signal when:
Stochastic Oscillator indicates overbought conditions with the %K value crossing below 80.
Bollinger Bands %B shows the price has surpassed the upper band, suggesting a potential reversal.
ADX is below 20, indicating that the trend is weak and could be about to change.
With Signal Builder , you can configure these conditions to trigger a sell signal only when all are met simultaneously. Then, you can set up a TradingView alert to notify you as soon as the signal is activated, giving you the opportunity to react quickly and adjust your strategy accordingly.
👨🏻💻💭 If this tool helps your trading strategy, don’t forget to give it a boost! Feel free to share in the comments how you're using it or if you have any questions.
_________________________________________________________________
The information and publications within the 3Commas TradingView account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc.
MAC Investor V3.0 [VK]This indicator combines multiple functionalities to assist traders in making informed decisions. It primarily uses Heikin Ashi candles, Moving Averages, and a Price Action Channel (PAC) to provide signals for entering and exiting trades. Here's a detailed breakdown:
Inputs
MAC Length: Sets the length for the PAC calculation.
Use Heikin Ashi Candles: Option to use Heikin Ashi candles for calculations.
Show Coloured Bars around MAC: Option to color bars based on their relation to the PAC.
Show Long/Short Signals: Options to display long and short signals.
Show MAs? : Option to show moving averages on the chart.
Show MAs Trend at the Bottom?: Option to show trend signals at the bottom of the chart.
MA Lengths: Length settings for three different moving averages.
Change MA Color Based on Direction?: Option to change the color of moving averages based on trend direction.
MA Higher TimeFrame: Allows setting a higher timeframe for moving averages.
Show SL-TP Lines: Option to display Stop Loss and Take Profit lines.
SL/TP Percentages: Set the percentages for Stop Loss and three levels of Take Profit.
Calculations and Features
Heikin Ashi Candles: Calculations are based on Heikin Ashi candle data if selected.
Price Action Channel (PAC): Uses Exponential Moving Averages (EMA) of the high, low, and close to create a channel.
Bar Coloring: Colors the bars based on their position relative to the PAC.
Long and Short Signals: Uses crossovers of the close price and PAC upper/lower bands to generate signals.
Moving Averages (MA): Plots three moving averages and colors them based on their trend direction.
Overall Trend Indicators: Uses triangles at the bottom of the chart to show the overall trend of the MAs.
Stop Loss and Take Profit Levels: Calculates and plots these levels based on user-defined percentages from the entry price.
Alerts: Provides alerts for long and short signals.
Use Cases and How to Use
Identifying Trends: The PAC helps to identify the trend direction. If the closing price is above the PAC upper band, it suggests an uptrend; if below the lower band, it suggests a downtrend.
Entering Trades: Use the long and short signals to enter trades. A long signal is generated when the closing price crosses above the PAC upper band, and a short signal is generated when it crosses below the PAC lower band.
Exit Strategies: Utilize the Stop Loss (SL) and Take Profit (TP) levels to manage risk and lock in profits. These levels are automatically calculated based on the entry price and user-defined percentages.
Trend Confirmation with MAs: The moving averages provide additional confirmation of the trend. When all three MAs are trending in the same direction (e.g., all green for an uptrend), it adds confidence to the trade signal.
Overall Trend Indicators: The triangles at the bottom of the chart show the overall trend direction of the MAs:
Green Triangle: All three MAs are trending upwards, indicating a strong uptrend.
Red Triangle: All three MAs are trending downwards, indicating a strong downtrend.
Yellow Triangle: Mixed signals from the MAs, indicating no clear trend.
Bar Coloring for Quick Analysis: The colored bars give a quick visual cue about the market condition, aiding in faster decision-making.
Alerts: Set up alerts to get notified when a long or short signal is generated, allowing you to act promptly without constantly monitoring the chart.
Maximizing Profit
To maximize profit with this indicator:
Follow the Signals: Use the long and short signals to time your entries. Ensure you follow the trend indicated by the PAC and MAs.
Risk Management: Always set your Stop Loss and Take Profit levels to manage risk. This will help you cut losses early and secure profits.
Confirm with MAs: Look for confirmation from the moving averages. When all MAs align with the signal, it indicates a stronger trend.
Overall Trend Indicators: Pay attention to the triangles at the bottom for overall trend confirmation. Only enter trades when the overall trend is in your favor.
Heikin Ashi for Smoothing: Use Heikin Ashi candles for smoother trends and fewer false signals.
Backtesting: Test the indicator on historical data to understand its performance and adjust settings as necessary.
Adapt to Market Conditions: Adjust the lengths of PAC and MAs based on the market's volatility and timeframe you are trading on.
How to Use the Indicator
Add to Chart: Add the indicator to your TradingView chart.
Configure Settings: Customize the input settings to fit your trading strategy and timeframe.
Monitor Signals: Watch for long and short signals and observe the trend direction with the PAC and MAs.
Check Overall Trend: Look at the triangles at the bottom of the chart to see the overall trend direction of the MAs.
Set Alerts: Configure alerts to get notified of new signals.
Manage Trades: Use the SL and TP levels to manage your trades effectively.
