Universal Adaptive Tracking🙏🏻 Behold, this is UAT (Universal Adaptive Tracker) , with less words imma proceed how it compares with alternatives:
^^ comparison with non-adaptive quadratic regression (purple line), that has higher overshoots, less precision
^^ comparison with JMA and its adaptive gain. JMA’s gain is heavily limited, while UAT’s negative and positive gains are soft-saturated with p-order Möbius transform
This drop is inspired by, dedicated to, and made will all love towards Jurik Research , who retired in October 2k21. When some1 steps out, some1 has to step in, and that time it’s me (again xd). But there’s some history u gotta know:
Some history u gotta know:
In ~2008 dudes from forexfactory reverse engineered Jurik Moving Average
In late 1990s dudes from Jurik Research approximated the best possible adaptive tracking filter for evolution of prices via engineering miracles
Today in 2k26, me I'm gonna present to you the real mathematical objects/entities behind JMA top-edge engineered approximates. You will prolly be even more happy now then all the dem together back then.
Why all this?
When we talk about object tracking stuff, e.g. air defense, drones, missiles, projectiles, prices, etc, it all comes down to adaptive control and (Position & Velocity & Acceleration) aka PVA state space models (the real stuff many of you count as DSP ).
Why? Cuz while position (P) : (mean), or position & velocity (PV) : (linear regression) are stable enough in dem own ways, Position & Velocity & Acceleration (PVA) : (quadratic regression+) require adaptivity do be stable. And real world stuff needs PVA, due to non-linearity for starters.
So that’s why. If your goal is Really smoothing and no lag, u gotta go there. I see a lot of folks are crazy with it and want it, so here is it, for y’all. And good news, this is perfect for your favorite Moving Windows.
How to use it
The upper study:
The final filter (main state): just as you use other fast smoothers, MAs, etc, you know better than me here
You can also turn in volatility bands in script’s style settings, these do not require any adjustments
Finally, you can turn on, in the same place, separate trackers each based on negative and positive volatility exclusively. When both are almost equal, that indicates stability & persistence in markets. May sound like it’s nothing important, but I've never seen anything like it before. Also, if you'd allow your our inner mental gym hero gloriously arise, you can argue that these 2 separate trackers represent 2 fair prices (one for sellers, one for buyers). All better then 1 imaginary fair price for both (forget about it)
The lower study:
The lower study: you can analyze streams of upward of downward volatilities separately. This is incredibly powerful
You can also turn these off and turn on neg & pos intensities, and use them as trend detector, when each or both cross 1.5 (naturally neutral) threshold.
^^ Upper study with expected typical and maximum volatility bands turned On
...
The method explained
What you got in the end is non-linear, adaptive, lighting fast when needed and slow when required price tracking. All built upon real math entities/objects, not a brilliantly engineered approximation of them. No parameters to optimize, data tells it all.
... It all starts from a process model, in our cause this is...
MFPM (Mechanical Feedback Price Model)
Doesn’t make gaussian assumptions like most quant mainstream tech, accepts that innovations are Laplace “at best”, relies in L inf and L0 spaces.
I created this model neither trynna fit non-fitting ARMA / variants, nor trynna be silly assuming that price state evolution and markets are random.
Theory behind it: if no new volume comes, then price evolution would be simply guided by the feedback based on previous trading activity, pushing prices towards the midrange between 2 latest datapoints, being the main force behind so called “pullbacks” and reason why most pullbacks end just a bit past 50% of a move.
This is the Real mechanical feedback based mean reversion, that is always there in the markets no matter what, think of it as a background process that is always there, and fresh new volume deviates prices away from it. Btw, this can also be expressed as AR2 with both phis = 0.5 .
Then I separate positive and negative innovations from this model and process them separately, reflecting the asymmetry between buy and sell forces, smth that most forget. Both of these follow exponential distribution . Each stream has its own memory so here we use recursive operators . We track maximum innovations (differences between real and expected datapoints) with exponentially decaying damping factor, and keep tracking typical innovation, with the same factor.
Then we calculate what’s called in lovely audio engineering as “ crest factor ”, the difference is we don’t do RMS and stuff. But hey again we work with laplace innovations, so we keep things in L0 and L inf spirit. Then we go a couple of steps further, making this crest factor truly relative (resolution agnostic), and then, most importantly, we apply a natural saturation on it based on p-order Möbius transform, but not with arbitrary p and L, but guided by informational limits of the data. These final "intensity" parameters are what we need next to make our object tracking adaptive.
Extended Beta(2, 2) Window
This is imo the main part of this. Looking at tapering windows in DSP and how wavelets are made from derivatives of PDF functions of probability distributions, I figured that why use just one derivative? That made me come up with Universal Moving Average , that combines PDF and CDF of Beta(2, 2) distribution . And that is fine for P (position) tracking model.
Here we need PVA (position & velocity & acceleration). We can realize that everything starts from PDF, and by adding derivatives and anti-derivatives of it as factors of final window weights, we can create smth truly unique, a weightset that is non-arbitrary and naturally provides response alike quadratic regression does, But, naturally smoothed.
Why do I consider this a discovery, a primordial math object? Because x^2 itself and Beta(2, 2) based on it are the only primitives, esp out of all these dozens of DSP tapering windows, that provide you a finite amount of derivatives. You can keep differentiating Hann window until the kingdom f come, while Welch window aka Beta(2, 2) has a natural stopping point, because the 3rd derivative is 0, so we can’t use it. Symmetrically, we do 2 steps up from PDF, getting 1st and second anti-derivatives. What’s lovely, symmetrically, 3rd antiderivative even tho exist, it stops making any sense. 2nd one still makes sense, it’s smth like “potential” of probability distribution, not really discussed in mainstream open access sources.
Finally, the last part is to introduce adaptivity using these intensity exponents we’ve calculated with MFPM. We do 2 separate trackers, one using the negative intensity exponent, another one uses positive intensity exponent.
And at the end, even tho using both together is cool, the final state estimate is calculated simply as the state which intensity has higher.
^^ impulse response of our final kernel with fixed (non adaptive) intensity exponents: 1 (blue) and 2 (red). You see it's all about phase
…
And that’s all folks.
…
Actually no …
Last, not least, is the ability to add additional innovation weight to the kernel:
^^ Weighting by innovations “On”. Provides incredible tracking precision, paid with smoothness. I think this screenshot, showing what happened after the gap, and how the tracker managed to react, explains it all.
...
Live Long and Prosper, all good TradingView
∞
Đường Trung bình trượt
200 MA Pack (SMA / EMA / SMMA / WMA) + VWAP200 Moving Average Pack + VWAP (Institutional Trend Indicator)
This indicator plots the most widely respected long-term trend and institutional reference levels on a single chart.
Included:
200 SMA – Long-term market structure & institutional bias
200 EMA – Dynamic trend direction & pullback reference
200 SMMA (RMA) – Smoothed trend stability with reduced noise
200 WMA – Faster weighted trend response
VWAP – Volume-weighted fair value used by smart money
Designed for stocks, indices, futures, and commodities, this tool helps identify:
Bullish vs bearish market regimes
High-probability trend continuations
Key support & resistance zones
Price acceptance or rejection around VWAP
Best used for positional trading, swing trading, and intraday bias.
Works on all timeframes.
Elite Market Predictor for GoldThis indicator is specially designed for gold. On 1 minute timeframe it gave 36RR (360%) returns in last 1 month. And almost 50 RR on 5 min timeframe in last 4 months.
This indicator is a Gem for anyone who trade gold. Try this and gain huge returns.
To get access contact on whatsapp +61406547091 or email aaroncrypto@yahoo.com
4MAs+5VWAPs+FVG+ Fractals4MAs + 5VWAPs + FVG + Fractals
All-in-one market structure indicator combining 4 moving averages, 5 VWAP timeframes, fair value gaps, fractals, and order blocks.
🔧 Features:
· 4 MAs - SMA/EMA, customizable lengths & colors
· 5 VWAPs - Daily, Weekly, Monthly, RTH, Custom sessions
· Fractals - Market structure with breakout lines & custom colors
· FVG/Imbalances - Bullish/bearish gap detection with alerts
· Order Blocks - Dynamic institutional levels
· Smart Labels - VWAP labels with color matching
⚙️ Quick Setup:
1. Toggle groups in Master Control Panel
2. Customize colors for each component
3. Set sessions for RTH/Custom VWAP
4. Adjust fractal periods (default: 2)
📈 Trading Use:
· Identify market structure with fractals
· Find confluence at VWAP + MA levels
· Trade FVG fills and order block reactions
· Multiple timeframe analysis with 5 VWAPs
Customizable • Color-Coordinated • Performance Optimized
Option Trading SPX Market SituationThis indicator has three functions:
1. Read out last day close value of S5FI
2. Read out the last 5 minute close value of VIX
3. Read out the SPX trend according to SMA values
Option Trading Cheat SheetThis is an indicator showing the option to be selected according to the current market situation and your trading strategy. It function as a cheat sheet not a trading program. You have to judge according to your knowledge. Please select your trading style and input the latest IVR and IVP.
Trend Double Pullback [Stable 20]v1.0Trend Double Pullback Trend Double Pullback Trend Double Pullback Trend Double Pullback Trend Double Pullback Trend Double
AHR999 Index (Renewed)AHR999 Indicator
The AHR999 Indicator is created by a Weibo user named ahr999. It assists Bitcoin investors in making investment decisions based on a timing strategy. This indicator implies the short-term returns of Bitcoin accumulation and the deviation of Bitcoin price from its expected valuation.
When the AHR999 index is < 0.45, it indicates a buying opportunity at a low price.
When the AHR999 index is between 0.45 and 1.2, it is suitable for regular investment.
When the AHR999 index is > 1.2, it suggests that the coin price is relatively high and not suitable for trading.
In the long term, Bitcoin price exhibits a positive correlation with block height. By utilizing the advantage of regular investment, users can control their short-term investment costs, keeping them mostly below the Bitcoin price.
SIV Trading LightSmartInVisions Trading Light (SIV Trading Light)
**Multi-Factor Market Regime & Trade Bias Indicator**
---
## Overview and Purpose
**SmartInVisions Trading Light (SIV Trading Light)** is a market **context and trade-bias indicator**, not a signal generator.
Its purpose is to answer one practical trading question:
> *“Given the current market conditions, is it statistically more favorable to think LONG, SHORT, or stay neutral?”*
Instead of relying on a single indicator, SIV Trading Light **combines several independent market dimensions into one coherent score**.
This allows traders to avoid over-trading in unfavorable environments and to align trades with the dominant market context.
---
## Why This Is NOT a Simple Indicator Mashup
This script does **not** simply merge popular indicators.
Each component is:
* normalized,
* weighted,
* evaluated against thresholds,
* and translated into **positive, neutral, or negative score contributions**.
Only the **combined interaction** of these components produces the final trade bias.
No single indicator can dominate the result on its own.
---
## Core Calculation Concept
At every bar, the indicator evaluates multiple independent factors.
Each factor contributes points to a **total bias score**.
The score is then classified into one of three states:
* **LONG bias**
* **NEUTRAL**
* **SHORT bias**
The indicator does **not** predict price direction.
It classifies the **current trading environment**.
---
## Components and How They Work Together
### 1. Trend Structure (Moving Averages)
**Purpose:** Identify the dominant directional structure.
* Fast MA vs Slow MA relationship
* Price position relative to the slow MA
* Optional slope confirmation
Contribution:
* Positive points in aligned uptrends
* Negative points in aligned downtrends
* Neutral in mixed or unclear structures
---
### 2. Momentum (RSI)
**Purpose:** Measure directional strength.
* RSI above upper threshold → bullish momentum
* RSI below lower threshold → bearish momentum
* Mid-range RSI → neutral
Momentum refines trend signals by confirming or weakening them.
---
### 3. Trend Quality / Choppiness (ADX)
**Purpose:** Filter out sideways or noisy markets.
* ADX above threshold → trending environment
* ADX below threshold → choppy environment
ADX does **not** define direction.
It modifies how much weight trend and momentum signals receive.
---
### 4. Volatility Risk (ATR%)
**Purpose:** Penalize structurally dangerous environments.
ATR is normalized as a percentage of price:
* Excessively high volatility → risk penalty
* Extremely low volatility → participation penalty
* Balanced volatility → neutral or positive contribution
This prevents aggressive trading in unstable regimes.
---
### 5. Market Participation (Relative Volume)
**Purpose:** Confirm whether moves are supported by volume.
* High relative volume → confirmation
* Low volume → weaker confidence
Volume acts as a confidence modifier, not as a directional signal.
---
### 6. Higher-Timeframe Market Regime (Optional)
**Purpose:** Align trades with the dominant higher-timeframe context.
On a user-defined **regime timeframe**, the script evaluates:
* trend structure
* RSI momentum
The regime filter can:
* amplify signals aligned with the higher timeframe
* suppress signals against it
This avoids trading aggressively against dominant market structure.
---
## Multi-Timeframe Design
The indicator separates two concepts:
* **Trading Timeframe**: the chart timeframe used for execution
* **Regime Timeframe**: a higher timeframe used for contextual bias
This design allows the same logic to be applied to:
* day trading
* swing trading
* longer-term investing
---
## Presets and Customization
Built-in presets are provided for:
* Day Trading (USA / Europe)
* Swing Trading (USA / Europe)
* Investing (USA / Europe)
Presets define:
* factor weights
* thresholds
* score boundaries
They do **not** define:
* timeframes
* moving average types or lengths
This keeps structural decisions under user control while simplifying parameter tuning.
A **Custom mode** allows full manual configuration.
---
## Visual Output
The indicator provides:
* two moving average overlays (fast / slow)
* an optional background color reflecting the current bias
* a compact badge summarizing mode, score, and state
* an optional breakdown table showing how each factor contributes to the score
These visuals are designed to explain **why** the current bias exists.
---
## Alerts
Alerts are based on **state changes**, not on every bar.
Alert outputs include:
* numerical state (`1 = LONG, 0 = NEUTRAL, -1 = SHORT`)
* score value
* rounded moving average values
This allows integration into discretionary or systematic workflows without alert noise.
---
## How This Indicator Should Be Used
✔ As a **trade filter**
✔ To avoid trading in unfavorable conditions
✔ To align discretionary entries with market context
---
## What This Indicator Is NOT
✘ Not a buy/sell signal
✘ Not a prediction model
✘ Not a replacement for risk management
---
## Credits and License
**Publisher:** SmartInVisions GmbH
**Concept & Design:** Reiner Ernst
**Implementation & Iterative Development:** SmartInVisions GmbH + ChatGPT (OpenAI)
**License:** Mozilla Public License 2.0 (MPL-2.0)
---
## Disclaimer
This script is provided for educational and research purposes only.
It does not constitute financial advice. Trading involves risk.
---
Adaptive Support/Resistance EMA IndicatorThis indicator automatically identifies and displays the optimal Exponential Moving Average (EMA) period for the current market conditions by analyzing how well different EMAs act as support or resistance levels.
How It Works
Adaptive Period Selection:
The indicator tests 33 different EMA periods (ranging from 5 to 400, including Fibonacci numbers like 8, 13, 21, 34, 55, 89, 144, 233, 377) and scores each based on how effectively it functions as support or resistance.
Intelligent Scoring System:
Each EMA is evaluated using three key metrics:
Respect Rate - Percentage of time price stays on the correct side of the EMA (above for support, below for resistance)
Successful Bounces - Number of times price approached the EMA and reversed without breaking through
Break Severity - Penalties for failed breaks, weighted by both depth and duration of the violation
Trend-Aware Behavior:
Uptrend (price > 50 EMA): Finds the EMA that best acts as a support floor below price
Downtrend (price < 50 EMA): Finds the EMA that best acts as a resistance ceiling above price
Adaptive Features:
Dynamic Lookback: Automatically adjusts analysis period (50-200 bars) based on market volatility
Sticky Selection: Won't switch EMAs unless new choice shows significant improvement (8% threshold by default)
Update Frequency: Recalculates every 20 bars or immediately during high volatility periods
Visual Elements
EMA Display:
Green line = Support (in uptrends)
Red line = Resistance (in downtrends)
Optional glow effect for enhanced visibility
Optional fill between price and EMA
Labels:
Shows "SUP " or "RES " when the selected EMA changes
Markers appear only when there's a meaningful change
Info Table:
Displays real-time statistics:
Current EMA period
Role (Support or Resistance)
Adaptive lookback length
Number of successful bounces
Number of breaks
Break severity score (color-coded: green < 5, yellow 5-20, red > 20)
Key Advantages
No manual EMA period selection needed
Adapts to changing market conditions automatically
Considers both bounce quality and break severity
Reduces whipsaws through sticky selection logic
Provides transparency with detailed performance metrics
Settings
Performance Settings:
Min/Max Lookback: Range for adaptive analysis window
Update Frequency: How often to recalculate (higher = faster performance)
Sticky Threshold: Required improvement % to switch EMAs
Detection Settings:
Touch Threshold: How close price must get to count as a "touch"
Bounce Window: Bars to confirm a successful bounce vs break
Visual Settings:
Customizable support/resistance colors
Toggle glow and fill effects
Show/hide info table and change markers
John Trade AlertsImagine you are watching a ball bounce up and down on a graph.
This script is like a set of rules that says:
When to start playing
When to stop playing
When you got some prize levels
and it yells to you (alerts) when those things happen.
The main ideas
Breakout Buy (ball jumps high)
There is a line drawn high on the chart called the breakout level.
If the price (the ball) closes above that line, and some extra “good conditions” are true (enough volume, uptrend, etc.),
the script says: “We entered a Breakout trade now.”
Pullback Buy (ball dips into a box)
There is a zone (a small box) between a low line and a high line: the pullback zone.
If the price closes inside that zone, and the pullback looks “healthy” (not too much volume, still above a moving average, etc.),
the script says: “We entered a Pullback trade now.”
Stops (when to get out if it goes wrong)
For each entry type (Breakout or Pullback), there is a red stop line under the price.
If the price falls below that stop line, the script says:
“Stop hit, we’re out of the trade.”
Hard Support / Invalidation (big no‑no level)
There is a special hard support line.
The script also looks at the 1‑hour chart in the background.
If a 1‑hour candle closes below that hard support, it says:
“Hard invalidation – idea is broken, get out.”
Targets (prize levels)
Above the current price there are several orange lines: Target 1, 2, 3A, 3B, 4A, 4B.
If the price goes up and crosses one of these lines, the script says:
“Target X reached!”
Trend and Volume “health checks”
It checks if the short‑term average price (SMA20) is going up → “uptrend.”
It can check if price is above a long‑term average (SMA200).
For breakouts, it checks if volume is stronger than usual (good push).
For pullbacks, it prefers quieter than usual volume (calm dip).
It can also check an Anchored VWAP line (a special average price from a chosen starting time) and only trade if price is above that too.
Remembering if you are “in a trade”
The script keeps a little memory:
Are we currently in a position (inPos) or not?
Was it a Breakout or a Pullback entry?
What is our entry price and active stop?
When it gets a new entry signal, it turns inPos to true, picks the right stop, and draws that stop line.
When a stop or hard invalidation happens, it sets inPos to false again.
It can also “forget” and reset at the start of a new trading day if you want.
Alerts
When:
you get a Breakout entry
or a Pullback entry
or a Stop is hit
or the hard support is broken on 1‑hour
or a Target is reached
the script sends a message you can use in TradingView alerts (pop‑ups, email, webhook, etc.).
Things you see on the chart
Teal line: Breakout level
Green lines: Pullback zone low & high
Red line: Active stop (only when you’re “in” a trade)
Orange lines: Targets 1, 2, 3A, 3B, 4A, 4B
Blue line: Anchored VWAP (if you turn it on)
Purple faint line: SMA20 (short‑term trend)
Gray faint line: SMA200 (long‑term trend)
Little label near the last bar that says:
if you’re IN or Flat
which type of entry (Breakout/Pullback)
what your current stop is
So in kid words:
It draws important lines on the chart.
It watches the price move like a ball.
When the ball does something special (jump above, fall below, hit a prize line),
it shouts to you with alerts.
It remembers if you’re in the game or not, and where your safety line (stop) is.
Dynamic Zone TraderDynamic Zone Trader - MACD-based trading system with adaptive stop loss and take profit zones.
This indicator generates buy/sell signals from MACD histogram crossovers and automatically adjusts position sizing based on market conditions.
Key Features:
Detects breakout trades and expands targets to capture larger moves
Identifies choppy/ranging conditions and tightens stops to reduce risk
Shows supply and demand zones based on pivot highs/lows
Displays three take profit levels (TP1, TP2, TP3) that scale with trade quality
Entry signals filtered by 50 EMA to trade with the trend
Signal strength score displayed on each entry marker
How It Works:
The indicator analyzes recent price structure and movement to classify each trade:
Breakout trades (breaking recent highs/lows) get 1.6x larger zones
Normal trades get standard 1.0x sizing
Choppy weak signals get 0.75x smaller zones
This allows you to take bigger positions on high-conviction setups while limiting risk during low-quality trades.
Settings:
MACD parameters (default 8/21/5)
Base stop loss: 60 ticks
Base take profit: 80 ticks
EMA filter: 50 period
Optional ADX trend filter
Adjustable breakout detection sensitivity
Works on any timeframe and instrument, but optimized for index futures like NQ/MNQ.
Sarfaraz magig IndicatorThis TradingView indicator generates BUY and SELL signals based on the crossover of Exponential Moving Averages (EMA 9 & EMA 50).
🔹 Indicator Logic:
– When EMA 9 crosses ABOVE EMA 50 → BUY signal
– When EMA 9 crosses BELOW EMA 50 → SELL signal
🔹 Designed to capture trend direction and momentum
🔹 Helps identify trend reversals and continuation trades
🔹 Signals are generated only after confirmed crossover
🔹 Non-repaint indicator
🔹 Suitable for:
Crypto
Forex
Stocks
🔹 Works well on 5m, 15m, 1h timeframes
⚠️ This indicator provides signals only.
Stop Loss, Take Profit, and risk management must be applied manually by the trader.
Chello Pro V1 ASSAF ALGOSChello pro is all you need for scalping day trading or swing it works perfectly in all markets
It contains a special moving average for trend direction
A signals depends on crossing the high or low of the sma or the ema
A sniper bands to insure the market momentum
A market structure add for more confluence
For LONG :
Price above the MA a buy signal active a bullish choch or bos signal active the price in green band
For SHORT :
Price below the MA a SELL signal active a bearish choch or bos signal active the price in red band
Note:
Keep the sma length at 9 for fast signals and 50 for slower one
change the sniper multiplier according to your strategy
Avoid choppy markets
Its better to use stop or trigger orders above or below entry candle
Add a good order blocks indicator for better results
Chello Pro هو كل ما تحتاجه للمضاربة السريعة، أو التداول اليومي، أو التداول المتأرجح، فهو يعمل بكفاءة عالية في جميع الأسواق.
يحتوي على متوسط متحرك خاص لتحديد اتجاه الترند. تعتمد الإشارات على تجاوز أعلى أو أدنى مستوى للمتوسط المتحرك البسيط (SMA) أو المتوسط المتحرك الأسي (EMA). أضف بنية السوق لمزيد من الترابط.
للشراء:
السعر أعلى من المتوسط المتحرك: إشارة شراء فعّالة، وإشارة تذبذب صعودي (BOS) فعّالة.
للبيع:
السعر أقل من المتوسط المتحرك: إشارة بيع فعّالة، وإشارة تذبذب هبوطي (BOS) فعّالة.
ملاحظة:
اضبط طول المتوسط المتحرك البسيط (SMA) على 9 للحصول على إشارات سريعة، و50 للحصول على إشارات أبطأ.
تجنب الأسواق المتقلبة.
أضف مؤشرًا جيدًا لكتل الأوامر لتحقيق نتائج أفضل
Moving Average to Moving Average (Smoothing) by ysfgnrMoving Average to Moving Average (Smoothing)
Description:
This indicator applies a smoothing process to a standard moving average to reduce market noise and highlight trend direction.
Main MA: Choose the type (SMA, EMA, SMMA/RMA, WMA, VWMA) and length for the primary moving average.
Smoothing MA: Apply additional smoothing on the main MA to further reduce fluctuations.
Signals & Alerts:
Alerts are generated when the price crosses above or below the smoothed MA.
The area between Main MA and Smoothing MA is filled: green for bullish, red for bearish.
Note: These signals are for directional alert purposes only; they do not generate actual buy/sell positions and do not constitute financial advice.
Visuals:
Main MA and Smoothing MA are plotted on the chart for clarity.
Filled area shows trend direction.
6PM NY Session Extremes + Open (Last 20 Days)From 18:00-18:00
High of Day Time
Low of Day Time
Points
TL Control PanelThe TL Control Panel is a comprehensive multi-timeframe dashboard that displays TrapLight signals across 8 different timeframes simultaneously (1m, 5m, 10m, 15m, 30m, 1h, 4h, Daily).
FEATURES:
• TL Column: Shows the Stochastic RSI K value with intelligent color coding:
- Bright Red (99.5-100): Max Sell zone
- Dim Red (95-99.5): Sell zone
- Yellow (5-95): Not Ready zone
- Dim Green (0.5-5): Buy zone
- Bright Green (0-0.5): Max Buy zone
• K/K Column: Displays Kriss/Kross signals when the 10 EMA crosses the 50 EMA
- Blue box = Kriss (10 crossed above 50 - Buy)
- Yellow box = Kross (10 crossed below 50 - Sell)
• GK Column: Shows Golden Kross signals (50 EMA crosses above 200 EMA - Buy)
• DK Column: Shows Death Kross signals (50 EMA crosses below 200 EMA - Sell)
All timeframes are fully customizable, allowing traders to enable/disable specific intervals. The dashboard provides instant visual confirmation of trend alignment across multiple timeframes, helping traders identify high-probability entry and exit points at a glance.
WMA 150 con pendiente por colorWeighted moving average, 150 periods. Upward slope in green and downward slope in red
Heikin Ashi + EMA9 / DEMA9This indicator combines Heikin Ashi candles with a trend-following moving average system.
You can choose between EMA9 or DEMA9 as the active average.
Only the selected average is displayed, and its color changes dynamically:
Green when the trend is up
Red when the trend is down
Arrow signals are fully customizable:
Show arrows on EMA/DEMA trend changes, or
Show arrows on Heikin Ashi color changes
This allows the indicator to be used both for trend trading and momentum-based strategies, while keeping the chart clean and free of conflicting signals.
Designed for clarity, flexibility, and practical trading use.
TQQQ Framework v6This script is a simple trend‑following framework for trading TQQQ that combines long‑term bias, short‑term momentum, and mean reversion into one visual tool. It plots three moving averages (250‑SMA, 50‑SMA, 21‑EMA), colors the background by trend regime, and prints buy markers when price regains momentum in a bullish environment.
What it does
Uses a 250‑period SMA as the structural “bull/bear regime” filter, only looking for longs when price is above this line.
Uses a 21‑period EMA as the short‑term momentum line, turning green when price is above it and red when price is below it.
Uses a 50‑period SMA as a mean‑reversion reference level, plotted as a softer blue band for pullback zones.
Visual cues
Background turns green when price is above the 250‑SMA (TQQQ bullish focus) and red when below it (implying SQQQ or defensive stance).
The 21‑EMA color shifts dynamically (green/red), giving an immediate read on short‑term momentum without extra indicators.
Signal logic
Generates a buy signal only when:
The market is in a bullish regime (close > 250‑SMA), and
Price crosses back above the 21‑EMA, indicating momentum has resumed after weakness.
Marks this event with a triangle below the bar and exposes an alert condition so it can trigger TQQQ buy alerts automatically.
Related
Summarize main strategy rules in the script
List all user-configurable inputs and defaults
Explain allocation and position sizing logic used
Describe the risk management and stop rules
Identify indicators and formulas implemented in code






















