Analisi trend
CPR • VWAP • Keltner • Supertrend • Chandelier • LRC - KidevFeatures included
CPR (Central Pivot Range)
VWAP (Volume Weighted Average Price)
Keltner Channel (KC)
Supertrend
Chandelier Exit (CE)
Linear Regression Channel (LRC)
Each tool has a toggle (on/off).
If off → plots are hidden (using display.none).
Fill shading (fill()) is controlled by conditional colors (na to hide).
TEEREX COUNTDOWN BY N' TEEREX HOONJONGPANG Features:
Price Flip Detection – identifies initial buy/sell setups based on close price comparisons to previous bars.
Setup Phase (1–9) – counts consecutive bars fulfilling Teerex number conditions; plots numbers on each candle.
Cd Phase (1–13) – continues counting after Setup 9; highlights potential reversal points.
Signals – marks Setup 9 and Countdown 13 with clear labels and arrows (“LONG” / “SELL”).
TDST Lines – draws dynamic support (Buy TDST) or resistance (Sell TDST) lines based on Setup 9 highs/lows. These lines help identify potential breakout or bounce zones.
Customizable Display – options to show/hide numbers, signals, and TDST lines; color-coded for clarity.
Usage:
Monitor Setup 9 and Countdown 13 labels for strong buy/sell signals.
Use TDST lines as reference for support/resistance, target levels, or confirmation of trend continuation.
Visuals:
Numbers 1–9/1–13 appear on the chart for precise counting.
Arrows and labels indicate Setup 9 completion and Cd 13 completion.
TDST lines extend to the right, updating with each new Setup 9.
Multi HTF High/Low LevelsThis indicator plots the previous high and low from up to four user-defined higher timeframes (HTF), providing crucial levels of support and resistance. It's designed to be both powerful and clean, giving you a clear view of the market structure from multiple perspectives without cluttering your chart.
Key Features:
Four Customizable Timeframes: Configure up to four distinct higher timeframes (e.g., 1-hour, 4-hour, Daily, Weekly) to see the levels that matter most to your trading style.
Automatic Visibility: The indicator is smart. It automatically hides levels from any timeframe that is lower than your current chart's timeframe. For example, if you're viewing a Daily chart, the 4-hour levels won't be shown.
Clean On-Chart Lines: The high and low for each timeframe are displayed as clean, extended horizontal lines, but only for the duration of the current higher-timeframe period. This keeps your historical chart clean while still showing the most relevant current levels.
Persistent Price Scale Labels: For easy reference, the price of each high and low is always visible on the price scale and in the data window. This is achieved with an invisible plot, giving you the accessibility of a plot without the visual noise.
How to Use:
Go into the indicator settings.
Under each "Timeframe" group, check the "Show" box to enable that specific timeframe.
Select your desired timeframe from the dropdown menu.
The indicator will automatically calculate and display the previous high and low for each enabled timeframe.
Pasrsifal.RegressionTrendStateSummary
The Parsifal.Regression.Trend.State Indicator analyzes the leading coefficients of linear and quadratic regressions of price (against time). It also considers their first- and second-order changes. These features are aggregated into a Trend-State background, shown as a gradient color. In addition, the indicator generates fast and slow signals that can be used as potential entry- or exit triggers.
This tool is designed for advanced trend-following strategies, leveraging information from multiple trendline features.
Background
Trendlines provide insight into the state of a trend or the “trendiness” of a price process. While moving averages or pivot-based lines can serve as envelopes and breakout levels, they are often too lagging for swing traders, who need tools that adapt more closely to price swings, ideally using trendlines, around which the price process swings continuously.
Regression lines address this by cutting directly through the data, making them a natural anchor for observing how price winds around a central trendline within a chosen lookback period.
Regression Trendlines
• Linear Regression:
o Minimizes distance to all closing values over the lookback period.
o The slope represents the short-term linear trend.
o The change of slope indicates trend acceleration or deceleration.
o Linear regression lags during phases of rapid market shifts.
• Quadratic Regression:
o Fits a second-degree polynomial to minimize deviation from closing prices.
o The convexity term (leading coefficient) reflects curvature:
Positive convexity → accelerating uptrend or fading downtrend.
Negative convexity → accelerating downtrend or fading uptrend.
o The change of convexity detects early shifts in momentum and often reacts faster than slope features.
Features Extracted
The indicator evaluates six features:
• Linear features: slope, first derivative of slope, second derivative of slope.
• Quadratic features: convexity term, first derivative of the convexity term, second derivative of the convexity term.
• Linear features: capture broad, background trend behavior.
• Quadratic features: detect deviations, accelerations, and smaller-scale dynamics.
Quadratic terms generally react first to market changes, while linear terms provide stability and context.
Dynamics of Market Moves as seen by linear and quadratic regressions
• At the start of a rapid move:
The change of convexity reacts first, capturing the shift in dynamics before other features. The convexity term then follows, while linear slope features lag further behind. Because convexity measures deviation from linearity, it reflects accelerating momentum more effectively than slope.
• At the end of a rapid move:
Again, the change of convexity responds first to fading momentum, signaling the transition from above-linear to below-linear dynamics. Even while a strong trend persists, the change of convexity may flip sign early, offering a warning of weakening strength. The convexity term itself adjusts more slowly but may still turn before the price process does. Linear features lag the most, typically only flipping after price has already reversed, thereby smoothing out the rapid, more sensitive reactions of quadratic terms.
________________________________________
Parsifal Regression.Trend.State Method
1. Feature Mapping:
Each feature is mapped to a range between -1 and 1, preserving zero-crossings (critical for sign interpretation).
2. Aggregation:
A heuristic linear combination*) produces a background information value, visualized as a gradient color scale:
o Deep green → strong positive trend.
o Deep red → strong negative trend.
o Yellow → neutral or transitional states.
3. Signals:
o Fast signal (oscillator): ranges from -1 to 1, reflecting short-term trend state.
o Slow signal (smoothed): moving average of the fast signal.
o Their interactions (crossovers, zero-crossings) provide actionable trading triggers.
How to Use
The Trend-State background gradient provides intuitive visual feedback on the aggregated regression features (slope, convexity, and their changes). Because these features reflect not only current trend strength but also their acceleration or deceleration, the color transitions help anticipate evolving market states:
• Solid Green: All features near their highs. Indicates a strong, accelerating uptrend. May also reflect explosive or hyperbolic upside moves (including gaps).
• Fading Solid Green: A recently strong uptrend is losing momentum. Price may shift into a slower uptrend, consolidation, or even a reversal.
• Fading Green → Yellow: Often appears as a dirty yellow or a rapidly mixing pattern of green and red. Signals that the uptrend is weakening toward neutrality or beginning to turn negative.
• Yellow → Deepening Red: Two possible scenarios:
o Coming from a strong uptrend → suggests a sharp fade, though the trend may still technically be up.
o Coming from a weaker uptrend or sideways market → suggests the start of an accelerating downtrend.
• Solid Red: All features near their lows. Indicates a strong, accelerating downtrend. May also reflect crash-type conditions or downside gaps.
• Fading Solid Red: A recently strong downtrend is losing strength. Market may move into a slower decline, consolidation, or early reversal upward.
• Fading Red → Yellow : The downtrend is weakening toward neutral, with potential for a bullish shift.
• Yellow → Increasing Green: Two possible scenarios:
o Coming from a strong downtrend, it reflects a sharp fade of bearish momentum, though the market may still technically be trending down.
o Coming from a weaker downtrend or sideways movement, it suggests the start of an accelerating uptrend.
Note: Market evolution does not always follow this neat “color cycle.” It may jump between states, skip stages, or reverse abruptly depending on market conditions. This makes the background coloring particularly valuable as a contextual map of current and evolving price dynamics.
Signal Crossovers:
Although the fast signal is very similar (but not identical) to the background coloring, it provides a numerical representation indicating a bullish interpretation for rising values and bearish for falling.
o High-confidence entries:
Fast signal rising from < -0.7 and crossing above the slow signal → potential long entry.
Fast signal falling from > +0.7 and crossing below the slow signal → potential short entry.
o Low-confidence entries:
Crossovers near zero may still provide a valid trigger but may be noisy and should be confirmed with other signals.
o Zero-crossings:
Indicate broader state changes, useful for conservative positioning or option strategies. For confirmation of a Fast signal 0-crossing, wait for the Slow signal to cross as well.
________________________________________
*) Note on Aggregation
While the indicator currently uses a heuristic linear combination of features, alternatives such as Principal Component Analysis (PCA) could provide a more formal aggregation. However, while in the absence of matrix algebra, the required eigenvalue decomposition can be approximated, its computational expense does not justify the marginal higher insight in this case. The current heuristic approach offers a practical balance of clarity, speed, and accuracy.
HMK-2 | PCA-1 + Rejim + Chebyshev + VWAP (Input'lu, v6)📌 HMK-2 | PCA-1 + Regime + Chebyshev + VWAP Strategy
1️⃣ Core Structure
Instead of relying on a single indicator, this system uses the Z-Score normalized average of three oscillators (RSI, MFI, ROC).
Signal (PCA-1):
RSI(14), MFI(14), ROC(5) → each is converted into a z-score.
Their average becomes the “composite signal,” our PCA-1 value.
Trend direction: If the Z-score EMA is rising → trend UP. If falling → trend DOWN.
2️⃣ Side Filters
Regime Filter (ADX + EMA)
ADX is calculated manually.
If ADX > 20 → trend exists → a 50-period EMA of this value smooths it.
This turns “trend regime” into a probability between 0–1.
Chebyshev Filter
A return series is checked against mean ± k*sigma bands.
If the return is within this band → valid signal. Extreme moves are filtered out.
VWAP Filter
Long trades: price must be above VWAP.
Short trades: price must be below VWAP.
Trades are only taken on the correct side of institutional cost averages.
3️⃣ Entry Conditions
Long:
PCA-1 signal crosses above threshold.
Trend Up + Regime OK + Chebyshev OK + Above VWAP.
Short:
PCA-1 signal crosses below threshold.
Trend Down + Regime OK + Chebyshev OK + Below VWAP.
4️⃣ Exit Mechanism
Main Exit: ATR-based stop/target.
Stop = entry price – ATR × (SL factor).
Take profit = entry price + ATR × (TP factor).
Additional Exit:
If price crosses to the opposite side of VWAP.
If PCA-1 signal crosses zero.
👉 Prevents trades from being locked, makes exits adaptive.
5️⃣ Labels / Visualization
AL / SHORT → entry points.
SAT / COVER → exit points.
VWAP line plotted in blue.
🧩 Strategy Features
Optimizable parameters:
Z-window (zWin)
Threshold
Chebyshev factor
ATR stop/target multipliers
This system works with:
Disciplined core (PCA-1 signal)
Triple protection (Regime + Chebyshev + VWAP)
Adaptive exits (ATR + VWAP/signal cross)
👉 Not a “single-indicator robot,” but a multi-filtered trade direction engine.
💡 Final Note
This is a base model of the system — open for further development.
I’ve shared the logic to give you a roadmap.
If you spot errors, fix them → that’s how you’ll improve it.
Don’t waste time asking me questions — refine and build it better yourselves.
Wishing you profitable trades. Stay well 🙏
Script_Algo - High Low Range MA Crossover Strategy🎯 Core Concept
This strategy uses modified moving averages crossover, built on maximum and minimum prices, to determine entry and exit points in the market. A key advantage of this strategy is that it avoids most false signals in trendless conditions, which is characteristic of traditional moving average crossover strategies. This makes it possible to improve the risk/reward ratio and, consequently, the strategy's profitability.
📊 How the Strategy Works
Main Mechanism
The strategy builds 4 moving averages:
Two senior MAs (on high and low) with a longer period
Two junior MAs (on high and low) with a shorter period
Buy signal 🟢: when the junior MA of lows crosses above the senior MA of highs
Sell signal 🔴: when the junior MA of highs crosses below the senior MA of lows
As seen on the chart, it was potentially possible to make 9X on the WIFUSDT cryptocurrency pair in just a year and a half. However, be careful—such results may not necessarily be repeated in the future.
Special Feature
Position closing priority ❗: if an opposite signal arrives while a position is open, the strategy first closes the current position and only then opens a new one
⚙️ Indicator Settings
Available Moving Average Types
EMA - Exponential MA
SMA - Simple MA
SSMA - Smoothed MA
WMA - Weighted MA
VWMA - Volume Weighted MA
RMA - Adaptive MA
DEMA - Double EMA
TEMA - Triple EMA
Adjustable Parameters
Senior MA Length - period for long-term moving averages
Junior MA Length - period for short-term moving averages
✅ Advantages of the Strategy
🛡️ False Signal Protection - using two pairs of modified MAs reduces the number of false entries
🔄 Configuration Flexibility - ability to choose MA type and calculation periods
⚡ Automatic Switching - the strategy automatically closes the current position when receiving an opposite signal
📈 Visual Clarity - all MAs are displayed on the chart in different colors
⚠️ Disadvantages and Risks
📉 Signal Lag - like all MA-based strategies, it may provide delayed signals during sharp movements
🔁 Frequent Switching - in sideways markets, it may lead to multiple consecutive position openings/closings
📊 Requires Optimization - optimal parameters need to be selected for different instruments and timeframes
💡 Usage Recommendations
Backtest - test the strategy's performance on historical data
Optimize Parameters - select MA periods suitable for the specific trading instrument
Use Filters - add additional filters to confirm signals
Manage Risks - always use stop-loss and take-profit orders.
You can safely connect to the exchange via webhook and enjoy trading.
Good luck and profits to everyone!!
Trend Continuation Filter - 🚀 Trend Continuation Filter — Multi-Factor Overlay
This overlay plots bullish / bearish continuation labels & arrows only when the market has enough confluence behind the move. Think of it as your “trend gatekeeper” — cutting out weak setups and highlighting only those with real momentum + structure.
🔍 Built-in Filters
✔ Ichimoku Cloud → trend bias + Tenkan/Kijun confirmation
✔ MACD (12/26/9) → acceleration via histogram slope
✔ RSI / MFI (14) → momentum quality (≥60 bullish / ≤40 bearish)
✔ ADX (14) → strength check (≥20 and rising)
➕ EMA Alignment (9/21/55/233) (optional)
➕ ATR Slope (14) (optional)
🎯 How it works
✅ Prints a Bull Continuation label/arrow when ≥4 filters align to the upside
✅ Prints a Bear Continuation label/arrow when ≥4 filters align to the downside
⚙️ minChecks input lets you adjust the strictness:
• Normal Days → set to 4 (more frequent, flexible)
• Trend Days → raise to 5–6 (fewer, high-conviction setups)
📈 Best Practices
⏰ Focus on London & New York sessions for clean expectancy
🧩 Pair with a HUD/Dashboard panel to see exactly which filters are active
BTC CME Gap – detector & single signals# BTC CME Gap — Detector & Single Signals (Pine v5)
**What it does**
This indicator finds the **weekend gap** on **CME Bitcoin futures** and turns it into a clean, tradable object:
* Draws a **gap zone** (Friday close ↔ Monday open) as a right-extending box.
* Fires **one-time signals** per gap:
* **ENTER** – first touch of the gap zone by price.
* **FILL** – gap is considered filled when price tags **Friday’s close**.
It works on any BTC chart (spot or futures). The gap itself is calculated from **CME\:BTC1!** daily data.
---
## How it works
1. Pulls **daily** `open`/`close` from `CME:BTC1!` (`request.security`, no lookahead).
2. On **Monday**, compares Monday **open** with previous **Friday close**:
* If different → a **gap** exists.
3. Defines the zone:
* `gapTop = max(MonOpen, FriClose)`
* `gapBot = min(MonOpen, FriClose)`
4. Renders a box + boundary lines, **extending right** until price action resolves it.
5. Signals:
* **ENTER**: the first bar that **enters** the gap zone.
* **FILL**: first bar that **touches Friday close** (gap completion).
6. Each new Monday gap **replaces** the previous box and signals.
---
## Inputs
* **CME symbol** (default `CME:BTC1!`)
* **Gap timeframe** (default `D`)
* **Colors** for the box and edges
---
## Plot & Signals
* **Box** = visual gap zone (transparent fill, outlined).
* **ENTER** = triangle up below bar.
* **FILL** = triangle down above bar.
* Optional label prints **Top / Bottom / Fill** levels.
---
## Notes on behavior
* Uses `barmerge.lookahead_off` and daily aggregation, so the gap definition **does not repaint** once Monday’s daily bar is confirmed.
* Signals are **single-shot** per gap (no clutter).
* Works on any chart timeframe; the gap logic always references **CME daily**.
---
## Practical use
* Track obvious **“magnets”** for mean-reversion, stop-runs, or liquidity grabs.
* Combine with your higher-timeframe bias (e.g., **1D trend filter**) and execution on **4H/1H**.
* Typical outcomes: quick Monday fill, staged fill after partial rejection, or delayed fill during later consolidation.
---
## Customization ideas
* Add `alertcondition(enterSignal, …)` / `alertcondition(fillSignal, …)` for automation.
* Gate trades with trend filters (EMA/SMA, Kernel regression, ADX) or session tools (VWAP/POC).
* Persist multiple historical gap boxes if you want to track **unfilled** gaps.
---
**Credits**: Built for BTC CME weekend gaps; minimal, publication-ready visualization with single-event signals to keep charts clean.
Daily High/Low (15m) + EMA Pre-Market H/L + ORBStraightforward:
I built a swing-trading indicator with ChatGPT that plots 15-minute highs and lows, draws pre-market high/low lines, and adds a 15-minute opening-range breakout feature.
Technical:
Using ChatGPT, I developed a swing-trade indicator that calculates 15-minute highs/lows, overlays pre-market high and low levels, and includes a 15-minute Opening Range Breakout (ORB) module.
Promotional:
I created a ChatGPT-powered swing-trading indicator that maps 15-minute highs/lows, marks pre-market levels, and features a 15-minute Opening Range Breakout for clearer entries.
Retail Herd Index (RSI + MACD + Stoch) [mqsxn]The Retail Herd Index is a sentiment-style indicator that tracks how many of the “classic retail indicators”: RSI, MACD, and Stochastic are screaming the same thing at once.
Instead of following each tool separately, this script unifies them into a single index score ranging from strongly bearish to strongly bullish. The more they agree, the stronger the signal.
This gives you an immediate snapshot of when retail-favorite signals are aligned (high probability of “herd” behavior), versus when they’re mixed and uncertain.
-----
🔎 How It Works
RSI contributes bullish when it’s oversold (and optionally rising), bearish when it’s overbought (and optionally falling).
MACD contributes bullish when MACD is above Signal (and optionally histogram > 0), bearish when MACD is below Signal (and optionally histogram < 0).
Stochastic contributes bullish on a %K > %D cross in the oversold zone, bearish on a %K < %D cross in the overbought zone.
Each module can be weighted individually, disabled, or tuned with custom thresholds. The total is combined into the Herd Index, plotted as columns above/below zero. Extreme zones can trigger bar coloring, labels, and alerts.
-----
⚙️ Inputs & Settings
Modules
Use RSI / Use MACD / Use Stochastic → Toggle each component on or off.
RSI
RSI Length → Period length for RSI calculation.
RSI Overbought / Oversold → Thresholds that trigger bearish/bullish conditions.
RSI Slope Confirmation → Requires RSI to be rising when oversold or falling when overbought.
RSI Source → Input price source for RSI.
MACD
MACD Fast / Slow / Signal → Standard MACD settings.
Require MACD hist above/below zero → Adds an extra filter: bullish only if histogram > 0, bearish only if histogram < 0.
Stochastic
%K Length / Smoothing / %D Length → Standard stochastic parameters.
Overbought / Oversold → Band levels for extreme signals.
Only count crosses inside bands → Restricts signals to crosses that occur fully inside the OB/OS zones.
Weights
Weight: RSI / MACD / Stoch → Adjust each module’s importance. Setting a weight to 0 disables its contribution.
Display
Color Bars By Herd Index → Colors candles when index is extreme.
Show Extremes Labels → Labels bars when the Herd Index reaches extreme bullish or bearish.
Extreme Threshold → Absolute value at which the index is considered “extreme” (default = 2).
Fear & Greed Oscillator — LEAPs (v6, manual DMI/ADX)Fear & Greed Oscillator for LEAPs — a composite sentiment/trend tool that highlights long-term fear/greed extremes and trend quality for better LEAP entries and exits.
This custom Fear & Greed Oscillator (FGO-LEAP) is designed for swing trades and long-term LEAP option entries. It blends multiple signals — MACD (trend), ADX/DMI (trend quality), OBV (accumulation/distribution), RSI & Stoch RSI (momentum), and volume spikes — into a single score that ranges from –100 (extreme fear) to +100 (extreme greed). The weights are tuned for LEAPs, emphasizing slower trend and accumulation signals rather than short-term noise.
Use Weekly charts for the main signal and Daily only for entry timing. Entries are strongest when the score is above zero and rising, with both MACD and DMI positive. Extreme Fear (< –60) can mark long-term bottoms when followed by a recovery, while Extreme Greed (> +60) often signals overheated conditions. A cross below zero is an early warning to reduce or roll positions.
Bullish 1st Breakaway FVG Stop Loss
This indicator provides a defined 3-tier stop loss placement when you want to trade the 1st Bullish Breakaway FVG strategy. The Bullish Breakaway Dual Session FVG indicator is an independent indicator that track all bullish breakaway candles, however this one only tracks the very 1st breakaway candle with a stop loss visual cue.
Introduction of Bullish Breakaway Consolidated FVG:
Inspired by the FVG Concept:
This indicator is built on the Fair Value Gap (FVG) concept, with a focus on Consolidated FVG. Unlike traditional FVGs, this version only works within a defined session (e.g., ETH 18:00–17:00 or RTH 09:30–16:00).
Bullish consolidated FVG & Bullish breakaway candle
Begins when a new intraday low is printed. After that, the indicator searches for the 1st bullish breakaway candle, which must have its low above the high of the intraday low candle. Any candles in between are part of the consolidated FVG zone. Once the 1st breakaway forms, the indicator will shades the candle’s range (high to low).
Session Reset: Occurs at session close.
Choose your own session: use 930 to 1615 for RTH, 1800 to 1615 for ETH. (New York Time Zone)
Repaint Behavior:
If a new intraday (or intra-session) low forms, earlier breakaway patterns are wiped, and the system restarts from the new low.
Product Optimization:
This indicator is designed for CME future product with New York time zone. If you want to trade other products, please adjust your own time session.
Entry:
Long after the 1st Bullish Breakaway Candle in your active session.
However, best position of long is executed by your own trading skill and edge.
Stop Loss: ξ
ξ: This is the 1st stop loss, it is 1 equal size of the breakaway candle below the low.
ξξ: This is the 2nd stop loss, it is 2 equal sizes of the breakaway candle below the low.
L: This is the 3rd stop loss, it is the intraday session low.
Stop loss calculation:
Assuming you enter at the high of the breakaway candle, the SL number is shown as the high minus the stop loss placement.
Last Mention:
If you don't see anything in the indicator, adjust your session to an active session only, and use Tradingview replay function. This indicator is a live indicator with repainting mechanism.
Pring Special K|a2m# 📈 Pring Special K | a2m
The **Pring Special K (PSK)** is a momentum indicator developed by **Martin Pring**, designed to capture both short-term and long-term market cycles in one oscillator.
This version includes **customizable smoothing** and **Bollinger Bands** for enhanced visualization of momentum shifts.
---
## 🏷️ Tagline
**“Multi-cycle momentum oscillator with smoothing & Bollinger Bands for trend confirmation and early reversals.”**
---
## 📄 Short Description
The Pring Special K blends **short-term and long-term ROC cycles** into one powerful momentum oscillator.
This version adds **SMA, EMA, WMA, RMA, VWMA smoothing options** and optional **Bollinger Bands**.
Use it to:
- Confirm **long-term trends**
- Spot **early reversals**
- Identify **divergences around the zero line**
---
## ⚙️ Features
✅ **Core PSK Calculation** (Martin Pring’s weighted ROC methodology)
✅ **Momentum Color-Coding** → Green (bullish) / Red (bearish)
✅ **Smoothing Options** → SMA, EMA, WMA, SMMA (RMA), VWMA
✅ **Optional Bollinger Bands** (with adjustable length & StdDev multiplier)
✅ **Zero Line Reference** for trend confirmation
---
## 🎛️ User Inputs
- **Source** → Default: `close`
- **Type** → `"None"`, `"SMA"`, `"SMA + Bollinger Bands"`, `"EMA"`, `"SMMA (RMA)"`, `"WMA"`, `"VWMA"`
- **Length** → Default: `20`
- **BB StdDev** → Default: `2.0` (active only with SMA + Bollinger Bands)
---
## 📊 How to Use
1. **Trend Identification**
- PSK rising above 0 → Long-term uptrend
- PSK falling below 0 → Long-term downtrend
2. **Momentum Shifts**
- Watch PSK crossing its **smoothing MA** for entry/exit signals.
- Bollinger Bands help spot **momentum extensions** or **contractions**.
3. **Divergences**
- Compare PSK vs. price swings to catch early **trend reversals**.
---
## 🖼️ Visual Guide
- **Green PSK Line** → Bullish momentum
- **Red PSK Line** → Bearish momentum
- **Blue Line** → Smoothing MA
- **Shaded Green Bands** → Bollinger Bands (if enabled)
- **Gray Dotted Line** → Zero momentum baseline
---
Inefficient Candle TrackerThe Inefficient Candle Tracker indicator highlights large, inefficient price moves and plots their midpoints as Squared Up Points.
Detects large candles using Percentile or ATR multiple methods
Draws dynamic dashed lines at candle midpoints until price “squares them up”
Built-in alerts for new SUP creation and when levels are touched
Great for spotting unfinished business in price action, confluence with support/resistance, and potential return levels.
Inverse Fisher Transform COMBO XThis is a vastly improved version of the indicator "Inverse Fisher Transform COMBO STO+RSI+CCIv2" by KIVANÇ fr3762 and updated previously by lordofcodes.
This script includes all the original oscillators included in the original script including CCI, CCIv2, MFI, RSI, Stochastic, and SMI oscillators. In Inverse Fisher Transform, one looks for the indicator lines of your choosing to be either above or below the centerline as with all oscillators. In addition it has many new features that greatly enhance the variety of uses for this very helpful indicator.
-Updated the script to indicator in pinescript v6.
-An Inverse Fisher Transform of the Heikin Ashi Calculation has been included in the script, with
both a raw Heikin Ashi signal output as well as a smoothed Heikin Ashi calculation are included.
-In addition, bar coloring according to the raw Heikin Ashi calculation is included in order to
allow for a standard bar chart to also give the visual indication of the Heikin Ashi chart type
This allows the trader to maintain the accuracy of price information on the chart that standard candles provide while still being able to reference the smoothed trend calculation of Heikin Ashi candles.
-Updated the script to add smoothing method and length inputs for each indicator.
-Smoothing methods available include the original wma smoothing, as well as sma, ema, dema,
tema, rma, hma, vwma, and t3 moving average calculations.
-Now you can also select the method for calculating the Inverse Fisher Transform using either
the default method of whether the oscillator is above or below the centerline, or to be based
on the oscillator's position in relation to a signal line instead, which can potentially give more
timely and accurate signals.
-The signal line's length and moving average calculation method are also adjustable according to
the same variety as the oscillators themselves. For simplicity the same signal line calculation
will be applied to all oscillators except for the Heikin Ashi since Heikin Ashi is not an oscillator.
In general, a low smoothing input works best for a slower moving average types such as rma and t3 which are my personal preference, while a larger number works better for the faster moving average calculations such as wma, hma, ema, dema, or tema. Though in practice, the combination of different smoothing methods and lengths across the variety of included indicators are greatly variable and can offer a complete trading strategy including long and short term trend analysis as well as volume analysis and Heikin Ashi candle analysis with just this one indicator.
As always, one indicator never guarantees results, which is a problem this script seeks to address, but it still benefits one to look for confirmation from other indicators and methods.
I hope you are able to find this indicator an effect addition to your trading strategy.
Corner Badge: PDC,Open,VWAP & Current + Delta to PDCSimple corner badge highlighting previous day's close, opening price, vwap and current price. Calculates delta to PDC and shades green or red if above or below PDC
We know this is all on the chart, but the data is easily accesible, offers a basic heat map and shows quickly whether opening is gapped up or down vs PDC when scrolling a watchlist.
Other two will just confirm trend or reversal.
An all green box means Price gapped up from PDC, VWAP and Current Price and above PDC.
Possible continuation?
Green, Red Red, reveals gap up followed by reversal or vice versa.
Nothing fancy. It's a start.
Might edit or delete after trying for a while.
Prev Day Close Line + Label — White Text / Royal Blue (v6)Previous Day Close line with clear labeling.
- Gap up vs PDC
- Gap down vs PDC
Helps analyze what yesterday attempted to do helps to confirm whether the attempt was successful.
Kidev Pro -HLx4 Modes + Dual BB + WMA + HMA + Labels/Alerts [v6]This script is a multi-purpose technical toolkit designed for intraday and swing traders who rely on high/low reference levels, volatility bands, and moving averages for decision-making.
Features Included:
High/Low Levels (4 Lines, Multiple Modes):
Rolling Mode: Plots the Highest High & Lowest Low of two different lookback periods (fast/slow).
Prev Day / Week Mode: Automatically plots Previous Day’s High/Low (PDH/PDL) and Previous Week’s High/Low (PWH/PWL), with optional labels.
Session Mode (Custom): Marks the current session’s High/Low and the previous session’s High/Low (default 09:15–15:30 for NSE).
Fractal Mode: Plots last confirmed fractal Highs/Lows (fast & slow pivots).
Bollinger Bands (Dual):
Two independent Bollinger Bands, each with customizable MA length and standard deviation.
Optional shaded fills between bands for better volatility visualization.
Moving Averages:
A single Weighted Moving Average (WMA).
A single Hull Moving Average (HMA).
Both with custom lengths, colors, and visibility toggles.
Labels & Visuals:
Automatic labeling of PDH/PDL/PWH/PWL with customizable label colors.
Optional session shading to highlight market hours.
Alerts:
Trigger alerts when price crosses any of the four High/Low lines.
Useful for breakout/breakdown strategies.
Intended Use Cases:
Identify key support/resistance using High/Low lines from multiple perspectives (rolling, prior day/week, fractals, or sessions).
Track volatility compression/expansion with dual Bollinger Bands.
Overlay trend filters with WMA/HMA.
Combine levels + bands + averages for breakout or mean-reversion strategies.
Market Breadth (NIFTY50)This market breadth indicator good to indentified short term market sentiment.
Divergences v2.4 [LTB][SPTG]Open-source credit & license
Original author: LonesomeTheBlue.
This fork by: sirpipthegreat — with attribution to the original work.
License: Open-source, published under the MPL-2.0 (same license header in the code).
I am publishing this open-source in accordance with TradingView’s Open-source reuse rules.
What’s new:
- Fixes & stability (addresses “historical offset beyond buffer” errors)
- Capped and validated all historical indexing with guarded lookbacks (e.g., min(…, 200) style limits) to prevent referencing data beyond the buffer on shorter histories/thin symbols.
- Refactored highest/lowest bars scans to obey the cap and avoid cumulative overflows on long sessions.
- Added per-bar counters with safety clamps to ensure it never exceeds available history.
- Ensured HTF switching doesn’t create invalid offsets when the higher timeframe compresses history.
Modernization & user control:
- Pine v6 upgrade and re-organization of logic for clarity/performance.
- More predictable tops/bottoms detection.
What it does:
- Detects regular (trend-reversal) and optional hidden (trend-continuation) divergences between price swing tops/bottoms and the selected oscillator(s).
- Computes candidate pivots with a light HTF alignment to reduce micro-noise; validates divergence when oscillator and price move in opposite directions across those pivots.
- Plots colored lines/labels on price to highlight bearish (regular & hidden) and bullish (regular & hidden) patterns.
How to use:
- Choose the oscillator set you trust (start with RSI + MACD).
- Consider confluence (S/R, volume, trend filters). This tool only identifies conditions
JL - Market HeatmapThis indicator plots a static table on your chart that displays any tickers you want and their % change on the day so far.
It updates in real time, changes color as it updates, and has several custom functions available for you:
1. Plot up to 12 tickers of your choice
2. Choose a layout with 1-4 rows
3. Display % Change or Not
4. Choose your font size (Tiny, Small, Normal, Large)
5. Up/Down Cell Colors (% change dependent)
6. Up/Down Text Colors (high contrast to your color choices)
The purpose of the indicator is to quickly measure a broad basket of market instruments to paint a more context-rich perspective of the chart you are looking at.
I hope this indicator can help you (and me) accomplish this task in a simple, clean, and seamless manner.
Thanks and enjoy - Jack
Daily Weekly Monthly HLC (بهداد)خطوط مهم روزانه هفتگی ماهانه This is an indicator that shows the closing lines and the highest and lowest prices for daily, weekly and monthly periods. In addition, we can divide the entire weekly period into several parts.