Trend Lines+++scripts taken from
Nothing here is mine , just put it as I like the combination of those script together when I analyse data
so it make life easy to draw line automode
I suggest 4 hours or daily chart with MACD and RSI
Thanks to autors in scripts
ابحث في النصوص البرمجية عن "trendline"
Higher High Lower Low Strategy (With Source Code)This script finds pivot highs and pivot lows then calculates higher highs & lower lows. And also it calculates support/resistance by using HH-HL-LL-LH points.
Generally HH and HL shows up-trend, LL and LH shows down-trend.
If price breaks resistance levels it means the trend is up or if price breaks support level it means the trend is down, so the script changes bar color blue or black. if there is up-trend then bar color is blue, or if down-trend then bar color is black. also as you can see support and resistance levels change dynamically.
If you use smaller numbers for left/right bars then it will be more sensitive.
source code of :
Supertrend collectorHello traders
This is an example of how you can add multiple indicators into a unique one
In this instance, I added two supertrend multitimeframes and draw them on a different timeframe chart
Enjoy
David
Zero Lag - ZigZag - JDThis is a alternative version of the well known "ZigZag indicator" but it uses turning points of the Jurik ma
instead of the traditional "pivot points" that are by definition lagging by a large lookback period, the (almost-) Zero Lag ZigZag lags by about 2 bars on average (depending on the candles forming)
The ZigZag pattern can be used to draw trendlines and S/R lines
It can also be used for "wave counting" in a way that reduces interpretation.
If you find other uses, please leave your ideas in the comments!
Shoutout to Everget for the awesome Jurik code!!
JD.
#NotTradingAdvice #DYOR
[New series!] [Consistent Losing Strategies] 34 EMA Scalping//---------------------------INTRO------------------------------
Hi All!
Let me introduce myself as a semi-successful forex trader & lover of automation.
I've taken to algo trading and have been hunting down strategies (that usually use indicators) to automate, backtest, and hopefully implement in MT4.
Unfortunately, most strategies are complete bulls*** and the select cases that are shown to "prove" success are limited.
These strategy sources often do not provide useful analytics either.
I want to change that approach to trading! We can really benefit each other and the community by being methodical about backtesting
as well as evaluating our results with some kind of scoring heuristic.
As for what that standardized process looks like..well I'm still working on it.
I'm pretty much on Tv for multiple hours of the day, screening strategies via Pinescript and I'd like to start sharing my progress!
This is a new series I'd like to start on consistently losing strategies. I'll make all the code public, so if you think I've made a blunder
or approached a problem the wrong way, then drop me a DM or paste your fix into the comments.
//---------------------------STRAT------------------------------
34 EMA Scalping strategy (ref. forextradingstrategies4u )
How you're supposed to trade it:
BUY:
1. Market is in an down trend as shown by the 34 EMA
2. Price breaks above a downwards trend line
3. Price breaks above the 34 EMA
4. Look for a very bullish candlestick or chart pattern
SELL:
1. Look for the 34 EMA to show we are in an uptrend
2. Price breaks below an upwards sloping trend line
3. Price breaks below 34 EMA
4. Look for a bearish candlestick or a chart pattern
//---------------------------CONC------------------------------
Q: Why does it fail?
A: I believe this strategy relies too much on subjective input (aka, trendlines).
Q: Why does it fail as an algo?
A: The 34 EMA is no more predictive than any other EMA, although it does a good job at filtering out noise.
Q: Should I try it out?
A: No, it's trash. This is the proof that it is trash.
RSI with Visual Buy/Sell Setup | Corrective/Impulsive IndicatorRSI with Visual Buy/Sell Setup | 40-60 Support/Resistance | Corrective/Impulsive Indicator v2.15
|| RSI - The Complete Guide PDF ||
Modified Zones with Colors for easy recognition of Price Action.
Resistance @ downtrend = 60
Support @ uptrend = 40
Over 70 = Strong Bullish Impulse
Under 30 = Strong Bearish Impulse
Uptrend : 40-80
Downtrend: 60-20
--------------------
Higher Highs in price, Lower Highs in RSI = Bearish Divergence
Lower Lows in price, Higher Lows in RSI = Bullish Divergence
--------------------
Trendlines from Higher/Lower Peaks, breakout + retest for buy/sell setups.
###################
There are multiple ways for using RSI, not only divergences, but it confirms the trend, possible bounce for continuation and signals for possible trend reversal.
There's more advanced use of RSI inside the book RSI: The Complete Guide
Go with the force, and follow the trend.
"The Force is more your friend than the trend"
BE-EMA(12,26) (Blue Empire Exponential Moving Average)
Simple EMA where you get a CROSS mark between EMA 12 and EMA 26.
Each time a cross happens, a spot gets created.
If it's cyan, it goes up.
If it's magenta, it goes down.
I'm studying Trading at Blue Empire Academy, if you want to know more send me a PM.
Wave Analysis study the wave's behavior and tries to predict by using trendlines, elliot waves, fibonacci retracements, and EMAs basically.
In this Indicator, It's a confirmation when EMA 12 goes over to confirm the price may go up. and Vice versa.
Hope you like, please share if you think it's useful and comment if you think this can be better.
Thank you again for reading
>> This is just an indicator, it doesn't predict the future. Use it at your own risk. <<
##########
All the credits to @tracks, a genius who helped me polish the code. :] thank you.
ETH/BTC MMAs Daytrade strategy 15min UT 0.05% feesPlayed around with Moving Averages, with the goal to bounce on trendlines and trend reversals.
Time Unit : 15 min
Candle Type : Heikin Ashi
Commission : 0.05% on trades (Binance fees)
Initial capital : 1k €
Do you think this could work?
Bat MACDWorks on Bullish divergence indicators and is identical to MACD during an uptrend, works best on 2H or higher timeframes.
Incorporates a SL which can be changed at will. SL is also used as a buy signal on lower timeframe crossovers.
Uses 6H MACD to differentiate between up and downtrends.
Recommend to take profits at pivots, trendlines instead of strategy's position which is delayed.
Signals on downtrend best used when SL is flat.
Scalping Swing Trading Tool R1-4 by JustUncleLDescription:
This study project is a "Scalping Swing trading Tool" and is an alternative to the "Scalping Pullback Tool R1". It is designed for a two pane TradingView chart layout :
the first pane set to 15min Time Frame;
the second pane set to 1min Time Frame(TF).
The tools incorporates the majority of the indicators needed to analyse and scalp Trends for Swings, PullBacks and reversals on 15min charts and 1min charts.
Incorporated within this tool are the following indicators:
1. The following EMAs are drawn automatically:
Green = EMA89 (15min TF) = EMA75 (1min TF)
Blue = EMA200 (15min TF) = EMA180 (1min TF)
Black = EMA633 (15min TF) = EMA540 (1min TF)
2. The 10EMA (default) High/Low+Close Price Action Channel (PAC), the PAC channel
display is disabled by default.
3. Optionally display Fractals and optional Fractal levels
4. Optional HH, LH, LL, HL finder.
5. Coloured coded Bar high lighting based on the PAC:
blue = bar closed above PAC
red = bar closed below PAC
gray = bar closed inside PAC
lime Line = EMA10 of bar close
6. Pivot points (disables Fractals automatically when selected) with optional labels.
7. EMA5-12 Channel is displayed by default.
8. EMA12-36 Ribbon is displayed by default
9. Optionally display EMA36 and PAC instead of EMA12-36 Ribbon.
Set up and hints:
I am unable to provide a full description here, as Pullback Trading incorporates a full trading Methodology, there are a number of articles and books written on the subject.
Set to two pane TradingView chart, set first pane to 15Min and second to 1min.
Set the chart to Heikin Ashi Candles (optional).
I also add a "Sweetspot Gold2" indicator to the chart as well to help with support and resistance finding and shows where the important "00" lines are.
Use the EMA200 on the 15min pane as the anchor. So when prices above EMA200 we only trade long (buy) and when prices below the EMA200 we only trade short (sell).
On the 15min chart draw any obvious Vertical Trend Lines (VTL), use Pivots point as a guide.
On the 15min chart what we’re looking for price to Pullback into the EMA5-12 Channel or EMA12-36 ribbon, we draw Trendlines uitilising the Pivot points or Fractals to guide your TL drawing.
On the 15min chart look for the trend to resume and break through the drawn TL. The bar color needs to change back to the trend direction colour to confirm as a break.
Now this break can be traded as a 15min trade or now look to the 1min chart.
On the 1min chart draw any Pullback into any of the EMAs.
On the 1min chart look for the trend to resume and break through the drawn TL. The bar color needs to change back to the trend direction colour to confirm as a break.
Now this break can be traded as a 1min trade.
There is also an option to select Pristine (ie Ideal) filtered Fractals, which look like tents or V shape 5-candle patterns. These are actually used to calculate the Pivot points as well.
Other than the "SweetSpot Gold2" indicator, you should not need any other indicator to successfully trade trends for Pullbacks and reversals. If you really want another indicator use the AO (Awesome Oscillator) as it is momentum based.
Scalping PullBack Tool R1 by JustUncleLDescription
This study project is a Scalping Pullback trading Tool that incorporates the majority of the indicators needed to analyse and scalp Trends for Pull Backs and reversals on 1min, 5min or 15min charts. The set up utilies Heikin Ashi candle charts. Incorporated within this tool are the following indicators:
1. Major industry (Banks) recognised important EMAs in an EMA Ribbon:
Green = EMA89
Blue = EMA200
Black = EMA633
2. The 36EMA (default) High/Low+Close Price Action Channel (PAC).
3. Fractals
4. HH, LH, LL, HL finder to help with drawing Trend lines and mini Trend Lines.
5. Coloured coded Bar high lighting based on the PAC:
blue = bar closed above PAC
red = bar closed below PAC
gray = bar closed inside PAC
red line = EMA36 of bar close
Setup and hints:
Set the chart to Heikin Ashi Candles.
Add "Sweetspot Gold10" indicator to the chart as well to help with support and resistance finding and shows where the important "00" and "0" lines are.
When price is above the PAC(blue bars) we are only looking to buy as price comes back to the PAC
When price is below the PAC(red bars), we are only looking to sell when price comes back to the PAC
What we’re looking for when price comes back into the PAC we draw mini Trendlines utilising the Fractals and HH/LL points to guide your TL drawing.
Now look for the trend to pull back and break the drawn TL. That's is when we place the scalp trade.
So we are looking for continuation signals in terms of a strong, momentum driven pullbacks (normally short term 10-20 pips) of the EMA36.
The other EMAs are there to check for other Pullbacks when EMA36 is broken.
Other than the SweetSpot Gold10 indicator, you should not need any other indicator to scalp the pullbacks.
References:
Fractals V8 by RicardoSantos
Price Action Trading System v0.3 by JustUncleL
SweetSpot Gold10 R1 by JustUncleL
www.swing-trade-stocks.com
www.forexstrategiesresources.com
Pump_Doctor Trends**You must enable bar colors in the options for the script if you wish to see them**
This indicator is very useful for spotting trends / tops / bottoms.
This is the ultimate altcoin pump spotting tool. Use on higher timeframes for greatest accuracy. If altcoin is newish (ZEC for example), try 4h rather than 1D or 3D.
Green = Uptrend
Red = Downtrend
Gray = Top/local top, bottom/local bottom, or continuation. You will need some knowledge of price action to determine which condition applies.
You can use the oscillator at the bottom as a measure of momentum / trend strength. You can draw trendlines on the oscillator on the top/bottom or the interior.
Relative Price Difference [LAVA]EDIT: Look below for updates to the script.
EDIT: After several updates to this script, I think it's safe to say it will work with all timelines. Using hand drawn trendlines, it can predict tops and bottoms with pretty good accuracy.
Shows a change in the relative price difference via percentage on a 0 horizontal. Added a bollinger band to help identify weak areas (orange). If orange starts showing, the current price direction is strong but can reverse harshly. If you are in a weak position, exit here. Otherwise, don't enter a trade after/during orange sessions until a full cycle (up/dn > 1% without orange) has completed. The main line indicator fluctuates according to the price difference. 1% horizontal lines are added to help identify profit taking spots or OTE zones. Ensure the 1% line is crossed completely before you decide to enter/exit. Cross points are identified with crosses if you missed your window, this is the last spot to exit, enter. This indicator doesn't work that well with small time intervals. As always, use more than one indicator to ensure your decision is right. (The colors are ugly so change them if you wish! :)
Fusion Signals Pro [Apicode]# Fusion Signals Pro
**Technical Documentation**
## 1. Overview
**Fusion Signals Pro** is a multi-indicator, multi-timeframe confirmation system developed in **Pine Script v6**.
Its primary goal is to **identify high-probability long and short entries** by requiring alignment across several momentum, trend, and oscillator indicators.
The indicator combines:
* Momentum (RPM, MACD)
* Oscillators (RSI, Stochastic, CCI, BBO)
* Trend-following logic (SuperTrend, EMA + T3 smoothing)
* A proprietary Heiken-Ashi–based trend module (**HACOLT**)
When all components align, the system generates **entry signals**, visual confirmations, and alerts.
---
## 2. Indicator Characteristics
| Property | Value |
| ------------------ | ----------------------------- |
| Script Version | Pine Script™ v6 |
| Overlay | Yes (candles, EMAs, signals) |
| Main Panel | Oscillator-style status panel |
| Repainting Control | Configurable per indicator |
| Market Types | Crypto, Stocks, ETFs |
| Timeframes | 15m, 30m, 1H, 2H and higher |
---
## 3. Architecture Summary
The indicator consists of **five major modules**:
1. **Multi-Timeframe Data Engine**
2. **Indicator Calculation Engine**
3. **Scoring & State Engine**
4. **Signal & Alert Engine**
5. **Trendline & HACOLT Engine**
---
## 4. Multi-Timeframe Data Engine
### `getSecurityData()`
This function safely retrieves higher- or alternate-timeframe data while controlling repainting behavior.
**Key features:**
* Supports real-time vs historical bar handling
* Optional repainting toggle per indicator
* Uses `request.security()` internally
```pinescript
getSecurityData(src, resolution, allowRepainting)
```
---
## 5. Indicator Components
### 5.1 RPM (Rate of Price Momentum)
**Purpose:**
Measures cumulative percentage price change over a defined period.
**Logic:**
* Calculates bar-to-bar % change
* Sums the change over `RPM Period`
**Signal Logic:**
* `> 0` → Bullish
* `< 0` → Bearish
---
### 5.2 BBO (Bull–Bear Oscillator)
**Custom oscillator combining:**
* Candle price structure
* RSI confirmation
* Super Smoother filter
**Output values:**
* `+100` → Bullish impulse
* `-100` → Bearish impulse
* `0` → Neutral
Smoothed using a **Super Smoother Moving Average**.
---
### 5.3 MACD
**Configurable elements:**
* Fast EMA
* Slow EMA
* Signal line
* Histogram or MACD line selection
**Signal Logic:**
* Positive value → Bullish
* Negative value → Bearish
Supports independent timeframe and repainting control.
---
### 5.4 RSI (Relative Strength Index)
**Standard RSI logic (14-period default)**
**Signal Threshold:**
* `> 50` → Bullish
* `< 50` → Bearish
---
### 5.5 Stochastic Oscillator
**Calculation:**
* %K → smoothed by SMA
* Uses configurable smoothing parameters
**Signal Threshold:**
* `> 50` → Bullish
* `< 50` → Bearish
---
### 5.6 CCI (Commodity Channel Index)
**Signal Logic:**
* `> 0` → Bullish
* `< 0` → Bearish
---
### 5.7 SuperTrend
**Parameters:**
* ATR Period
* Multiplier Factor
**Trend Logic:**
* Price above SuperTrend → Bullish
* Price below SuperTrend → Bearish
---
## 6. Visual Status Panel (Fusion Matrix)
Each indicator is plotted as a **horizontal square block**, color-coded:
* **Green** → Bullish
* **Red** → Bearish
### Indicator Order (Top to Bottom):
1. RPM
2. MACD
3. RSI
4. Stochastic
5. CCI
6. BBO
7. SuperTrend
8. HACOLT
Labels dynamically update on the last bar.
---
## 7. Scoring System
Each indicator contributes **1 point** when bullish.
| Indicator | Condition |
| ---------- | ----------- |
| RPM | `> 0` |
| MACD | `> 0` |
| RSI | `> 50` |
| Stochastic | `> 50` |
| CCI | `> 0` |
| BBO | `> 0` |
| SuperTrend | Price above |
**Score Range:** `0 → 7`
### Color Mapping
* **7** → Strong Green (Full alignment)
* **5–6** → Light Green
* **4** → Neutral (Gray)
* **1–3** → Light Red
* **0** → Strong Red
This score controls:
* Candle color
* Bar color
* Visual confidence level
---
## 8. Entry Logic
### Long Entry
All bullish conditions must be met:
```text
RPM > 0
MACD > 0
RSI > 50
Stochastic > 50
CCI > 0
BBO > 0
SuperTrend bullish
```
### Short Entry
All bearish conditions must be met (inverse logic).
---
## 9. Position State Machine
The indicator tracks trade direction using an internal state:
| State | Meaning |
| ----- | ---------- |
| `1` | Long bias |
| `-1` | Short bias |
| `0` | Neutral |
**Signals trigger only on state transitions**, reducing false signals and repeated entries.
---
## 10. Alerts
### Available Alerts
* Long Entry
* Short Entry
* Generic Entry (Long or Short)
* HACOLT Trend Change
Alerts include:
* Symbol
* Price
* Direction
---
## 11. Trendline Engine (EMA + T3)
### Features:
* Multi-timeframe EMA calculation
* T3 smoothing for noise reduction
* Auto / Multiplier / Manual timeframe selection
### Logic:
* EMA1 (fast) vs EMA2 (slow)
* Filled area changes color on crossover
* Acts as a **trend bias filter**
---
## 12. HACOLT Module (Advanced Trend Filter)
**HACOLT** is a proprietary trend detection system based on:
* Heiken-Ashi logic
* TEMA smoothing
* Candle structure analysis
* State persistence logic
### States:
* `1` → Bullish trend
* `-1` → Bearish trend
### Uses:
* Additional confirmation
* Early trend detection
* Visual trend persistence
---
## 13. Repainting Control
Each major component includes:
* Independent timeframe
* Independent repainting toggle
This allows:
* Backtesting accuracy
* Real-time responsiveness
* Hybrid confirmation setups
---
## 14. Intended Use
**Fusion Signals Pro is designed for:**
* Trend-following strategies
* Confirmation-based entries
* Multi-timeframe analysis
* Crypto and equity markets
⚠️ It is **not** intended as a standalone trading system without risk management.
---
## 15. Conclusion
Fusion Signals Pro is a **high-confluence trading indicator** that merges momentum, oscillators, and trend-following logic into a unified decision framework.
Its strength lies in **signal alignment**, **state tracking**, and **visual clarity**, making it suitable for both discretionary and systematic traders.
Advanced Scalping Navigator free by S B PrasadAdvanced Scalping Navigator Lite • Features
by S B Prasad
Advanced Scalping Navigator Lite is a powerful multi-factor scalping and intraday indicator designed to generate high-probability BUY and SELL signals using trend, momentum, volatility, and smart-money concepts.
This FREE version retains the complete core signal engine while limiting certain premium visual and channel features.
🚀 Core Features (Included in Lite Version)
✅ High-Accuracy BUY & SELL Signals
Signals are generated only when multiple technical and structural conditions align, including:
ATR-based trend direction & strength
EMA trend bias
MACD momentum
RSI confirmation
VWAP institutional bias
Ribbon & Hull MA filters
Higher-timeframe (HTF) trend confirmation
Smart-money liquidity sweep validation
Supply & demand zone filtering
Session-based trading filter
✅ Smart-Money Liquidity Sweeps
Detects equal highs/lows and stop-hunt behavior to identify institutional accumulation or distribution before issuing signals.
✅ Supply & Demand Zones
Automatically plots demand and supply zones using pivot-based market structure to improve trade location quality.
✅ Higher-Timeframe (HTF) Confirmation
Filters trades in the direction of the dominant higher-timeframe trend for better probability alignment.
✅ Session Filter (Market Timing Control)
Limits signals to selected market sessions:
Indian Market
London Session
New York Session
✅ Multi-Factor Confirmation Engine
Combines EMA, MACD, RSI, VWAP, Ribbon, and HMA into a weighted factor score to avoid low-quality trades.
✅ Real-Time Dashboard Panel
On-chart dashboard displaying:
Trend direction
Trend strength
Factor alignment score
HTF bias
Zone context
Signal state
Session status
🔒 Features Limited or Disabled in Lite Version
The following premium visuals and channels are not available in the FREE version:
❌ ATR trendline (dynamic support / resistance)
❌ ATR trendline strength coloring
❌ Full ATR channel (upper / average / lower)
❌ Channel fills & premium visual layers
❌ Pivot ATR trend channel visuals
❌ Enhanced trend-zone background fills
🎯 Best For
Intraday traders
Scalpers
Index & stock traders
Futures and options traders
Traders who prefer clean charts with powerful signals
📣 Join Our Telegram (Updates & PRO Access)
👉 Telegram: t.me
💬 For updates, support & PRO version access, join our Telegram.
⚠️ Disclaimer
This indicator is for educational and informational purposes only.
It does not constitute financial advice.
Trading involves risk. Always use proper risk management.
moving_averages# MovingAverages Library - PineScript v6
A comprehensive PineScript v6 library containing **50+ Moving Average calculations** for TradingView.
---
## 📦 Installation
```pinescript
import TheTradingSpiderMan/moving_averages/1 as MA
```
---
## 📊 All Available Moving Averages (50+)
### Basic Moving Averages
| Function | Selector Key | Description |
| -------- | ------------ | ------------------------------------------ |
| `sma()` | `SMA` | Simple Moving Average - arithmetic mean |
| `ema()` | `EMA` | Exponential Moving Average |
| `wma()` | `WMA` | Weighted Moving Average |
| `vwma()` | `VWMA` | Volume Weighted Moving Average |
| `rma()` | `RMA` | Relative/Smoothed Moving Average |
| `smma()` | `SMMA` | Smoothed Moving Average (alias for RMA) |
| `swma()` | - | Symmetrically Weighted MA (4-period fixed) |
### Hull Family
| Function | Selector Key | Description |
| -------- | ------------ | ------------------------------- |
| `hma()` | `HMA` | Hull Moving Average |
| `ehma()` | `EHMA` | Exponential Hull Moving Average |
### Double/Triple Smoothed
| Function | Selector Key | Description |
| -------------- | ------------ | --------------------------------- |
| `dema()` | `DEMA` | Double Exponential Moving Average |
| `tema()` | `TEMA` | Triple Exponential Moving Average |
| `tma()` | `TMA` | Triangular Moving Average |
| `t3()` | `T3` | Tillson T3 Moving Average |
| `twma()` | `TWMA` | Triple Weighted Moving Average |
| `swwma()` | `SWWMA` | Smoothed Weighted Moving Average |
| `trixSmooth()` | `TRIXSMOOTH` | Triple EMA Smoothed |
### Zero/Low Lag
| Function | Selector Key | Description |
| --------- | ------------ | ----------------------------------- |
| `zlema()` | `ZLEMA` | Zero Lag Exponential MA |
| `lsma()` | `LSMA` | Least Squares Moving Average |
| `epma()` | `EPMA` | Endpoint Moving Average |
| `ilrs()` | `ILRS` | Integral of Linear Regression Slope |
### Adaptive Moving Averages
| Function | Selector Key | Description |
| ---------- | ------------ | ------------------------------- |
| `kama()` | `KAMA` | Kaufman Adaptive Moving Average |
| `frama()` | `FRAMA` | Fractal Adaptive Moving Average |
| `vidya()` | `VIDYA` | Variable Index Dynamic Average |
| `vma()` | `VMA` | Variable Moving Average |
| `vama()` | `VAMA` | Volume Adjusted Moving Average |
| `rvma()` | `RVMA` | Rolling VMA |
| `apexMA()` | `APEXMA` | Apex Moving Average |
### Ehlers Filters
| Function | Selector Key | Description |
| ----------------- | --------------- | --------------------------------- |
| `superSmoother()` | `SUPERSMOOTHER` | Ehlers Super Smoother |
| `butterworth2()` | `BUTTERWORTH2` | 2-Pole Butterworth Filter |
| `butterworth3()` | `BUTTERWORTH3` | 3-Pole Butterworth Filter |
| `instantTrend()` | `INSTANTTREND` | Ehlers Instantaneous Trendline |
| `edsma()` | `EDSMA` | Deviation Scaled Moving Average |
| `mama()` | `MAMA` | Mesa Adaptive Moving Average |
| `fama()` | `FAMAVAL` | Following Adaptive Moving Average |
### Laguerre Family
| Function | Selector Key | Description |
| -------------------- | ------------------ | ------------------------ |
| `laguerreFilter()` | `LAGUERRE` | Laguerre Filter |
| `adaptiveLaguerre()` | `ADAPTIVELAGUERRE` | Adaptive Laguerre Filter |
### Special Weighted
| Function | Selector Key | Description |
| ---------- | ------------ | -------------------------------- |
| `alma()` | `ALMA` | Arnaud Legoux Moving Average |
| `sinwma()` | `SINWMA` | Sine Weighted Moving Average |
| `gwma()` | `GWMA` | Gaussian Weighted Moving Average |
| `nma()` | `NMA` | Natural Moving Average |
### Jurik/McGinley/Coral
| Function | Selector Key | Description |
| ------------ | ------------ | --------------------- |
| `jma()` | `JMA` | Jurik Moving Average |
| `mcginley()` | `MCGINLEY` | McGinley Dynamic |
| `coral()` | `CORAL` | Coral Trend Indicator |
### Mean Types
| Function | Selector Key | Description |
| -------------- | ------------ | ------------------------- |
| `medianMA()` | `MEDIANMA` | Median Moving Average |
| `gma()` | `GMA` | Geometric Moving Average |
| `harmonicMA()` | `HARMONICMA` | Harmonic Moving Average |
| `trimmedMA()` | `TRIMMEDMA` | Trimmed Moving Average |
| `cma()` | `CMA` | Cumulative Moving Average |
### Volume-Based
| Function | Selector Key | Description |
| --------- | ------------ | -------------------------- |
| `evwma()` | `EVWMA` | Elastic Volume Weighted MA |
### Other Specialized
| Function | Selector Key | Description |
| ----------------- | --------------- | --------------------------- |
| `hwma()` | `HWMA` | Holt-Winters Moving Average |
| `gdema()` | `GDEMA` | Generalized DEMA |
| `rema()` | `REMA` | Regularized EMA |
| `modularFilter()` | `MODULARFILTER` | Modular Filter |
| `rmt()` | `RMT` | Recursive Moving Trendline |
| `qrma()` | `QRMA` | Quadratic Regression MA |
| `wilderSmooth()` | `WILDERSMOOTH` | Welles Wilder Smoothing |
| `leoMA()` | `LEOMA` | Leo Moving Average |
| `ahrensMA()` | `AHRENSMA` | Ahrens Moving Average |
| `runningMA()` | `RUNNINGMA` | Running Moving Average |
| `ppoMA()` | `PPOMA` | PPO-based Moving Average |
| `fisherMA()` | `FISHERMA` | Fisher Transform MA |
---
## 🎯 Helper Functions
| Function | Description |
| ---------------- | ------------------------------------------------------------- |
| `wcp()` | Weighted Close Price: (H+L+2\*C)/4 |
| `typicalPrice()` | Typical Price: (H+L+C)/3 |
| `medianPrice()` | Median Price: (H+L)/2 |
| `selector()` | **Master selector** - choose any MA by string name |
| `getAllTypes()` | Returns all supported MA type names as comma-separated string |
---
## 🔧 Usage Examples
### Basic Usage
```pinescript
//@version=6
indicator("MA Example")
import quantablex/moving_averages/1 as MA
// Simple calls
plot(MA.sma(close, 20), "SMA 20", color.blue)
plot(MA.ema(close, 20), "EMA 20", color.red)
plot(MA.hma(close, 20), "HMA 20", color.green)
```
### Using the Selector Function (50+ MA Types)
```pinescript
//@version=6
indicator("MA Selector")
import quantablex/moving_averages/1 as MA
// Full list of all supported types:
// SMA,EMA,WMA,VWMA,RMA,SMMA,HMA,EHMA,DEMA,TEMA,TMA,T3,TWMA,SWWMA,TRIXSMOOTH,
// ZLEMA,LSMA,EPMA,ILRS,KAMA,FRAMA,VIDYA,VMA,VAMA,RVMA,APEXMA,SUPERSMOOTHER,
// BUTTERWORTH2,BUTTERWORTH3,INSTANTTREND,EDSMA,LAGUERRE,ADAPTIVELAGUERRE,
// ALMA,SINWMA,GWMA,NMA,JMA,MCGINLEY,CORAL,MEDIANMA,GMA,HARMONICMA,TRIMMEDMA,
// EVWMA,HWMA,GDEMA,REMA,MODULARFILTER,RMT,QRMA,WILDERSMOOTH,LEOMA,AHRENSMA,
// RUNNINGMA,PPOMA,MAMA,FAMAVAL,FISHERMA,CMA
maType = input.string("EMA", "MA Type", options= )
length = input.int(20, "Length")
plot(MA.selector(close, length, maType), "Selected MA", color.orange)
```
### Advanced Moving Averages
```pinescript
//@version=6
indicator("Advanced MAs")
import quantablex/moving_averages/1 as MA
// ALMA with custom offset and sigma
plot(MA.alma(close, 20, 0.85, 6), "ALMA", color.purple)
// KAMA with custom fast/slow periods
plot(MA.kama(close, 10, 2, 30), "KAMA", color.teal)
// T3 with custom volume factor
plot(MA.t3(close, 20, 0.7), "T3", color.yellow)
// Laguerre Filter with custom gamma
plot(MA.laguerreFilter(close, 0.8), "Laguerre", color.lime)
```
---
## 📈 MA Selection Guide
| Use Case | Recommended MAs |
| ---------------------- | ------------------------------------------- |
| **Trend Following** | EMA, DEMA, TEMA, HMA, CORAL |
| **Low Lag Required** | ZLEMA, HMA, EHMA, JMA, LSMA |
| **Volatile Markets** | KAMA, VIDYA, FRAMA, VMA, ADAPTIVELAGUERRE |
| **Smooth Signals** | T3, LAGUERRE, SUPERSMOOTHER, BUTTERWORTH2/3 |
| **Support/Resistance** | SMA, WMA, TMA, MEDIANMA |
| **Scalping** | MCGINLEY, ZLEMA, HMA, INSTANTTREND |
| **Noise Reduction** | MAMA, EDSMA, GWMA, TRIMMEDMA |
| **Volume-Based** | VWMA, EVWMA, VAMA |
---
## ⚙️ Parameters Reference
### Common Parameters
- `src` - Source series (close, open, hl2, hlc3, etc.)
- `len` - Period length (integer)
### Special Parameters
- `alma()`: `offset` (0-1), `sigma` (curve shape)
- `kama()`: `fastLen`, `slowLen`
- `t3()`: `vFactor` (volume factor)
- `jma()`: `phase` (-100 to 100)
- `laguerreFilter()`: `gamma` (0-1 damping)
- `rema()`: `lambda` (regularization)
- `modularFilter()`: `beta` (sensitivity)
- `gdema()`: `mult` (multiplier, 2 = standard DEMA)
- `trimmedMA()`: `trimPct` (0-0.5, percentage to trim)
- `mama()/fama()`: `fastLimit`, `slowLimit`
- `adaptiveLaguerre()`: Uses `len` for adaptation period
---
## 📝 Notes
- All 50+ functions are exported for use in any PineScript v6 indicator/strategy
- The `selector()` function supports **all MA types** via string key
- Use `getAllTypes()` to get a comma-separated list of all supported MA names
- Some MAs (CMA, INSTANTTREND, LAGUERRE, MAMA) don't use `len` parameter
- Use `nz()` wrapper if handling potential NA values in your calculations
---
**Author:** thetradingspiderman
**Version:** 1.0
**PineScript Version:** 6
**Total MA Types:** 50+
Adaptive Market Structure Channel By S B PrasadAdaptive Market Structure Channel (AMSC)
Institutional-Grade Trend, Volatility & Liquidity Framework
Overview
The Adaptive Market Structure Channel (AMSC) is a multi-engine, adaptive trading framework designed to read market structure, volatility, liquidity, and trend strength in real time.
It integrates ATR-based channels, pivot structure, supply–demand zones, liquidity sweeps, multi-factor momentum, and higher-timeframe confirmation into a single, coherent visual system.
AMSC is not a single-indicator strategy.
It is a context-driven decision framework intended to help traders align entries with dominant trend, structural levels, and institutional activity.
Core Components
1️⃣ Adaptive ATR Trend Channel
Dynamic ATR-based support & resistance
Automatically adjusts to volatility
Color-coded trend strength (strong / weak regimes)
Acts as the primary trend bias filter
2️⃣ Pivot-Based ATR Trend Channels
Channels built from confirmed pivot highs and lows
ATR-expanded structure, not fixed slopes
Separates impulse moves from corrections
Useful for trend continuation and pullback trades
3️⃣ Market Structure: Supply & Demand Zones
Automatically plots fresh demand and supply zones
Zones extend forward until violated
Helps identify high-probability reaction areas
Used as a location filter, not a standalone signal
4️⃣ Liquidity Sweep Detection (Smart Money Logic)
Identifies equal high / equal low liquidity pools
Detects stop-hunt style sweeps
Validates sweeps only when price reacts from structure zones
Prevents chasing false breakouts
5️⃣ Multi-Factor Trend Confirmation Engine
Combines:
EMA structure
MACD momentum
RSI regime
VWAP positioning
Optional ribbon & HMA filters
Signals are generated only when a majority of factors align, avoiding single-indicator bias.
6️⃣ Volatility Context (Bollinger Bands)
Provides volatility expansion / contraction context
Helps distinguish trend continuation vs compression
Works as a background regime filter
7️⃣ Higher Timeframe Confirmation
Confirms trend using a user-selected HTF
Prevents counter-trend trades during strong HTF bias
Essential for intraday and swing traders
8️⃣ Session-Aware Trading
Optional India, London, and New York session filters
Signals only during active market participation
Avoids low-liquidity false signals
9️⃣ Professional Dashboard
Real-time display of:
Trend direction
Trend strength
Factor alignment
HTF bias
Active zone
Trade signal
Session status
Designed for quick decision-making, not clutter.
How to Use AMSC (Best Practice)
✔ Trade in the direction of the ATR trend
✔ Enter near demand/supply within the channel
✔ Confirm with factor alignment & HTF bias
✔ Use liquidity sweeps as entry triggers, not signals alone
✔ Avoid trades during low-strength or inactive sessions
AMSC performs best when used as a confluence system, not a mechanical entry-exit robot.
Ideal Use Cases
Intraday index trading
Swing trading in trending markets
Futures & FX structure-based trading
Traders who prefer context over indicators
What AMSC Is NOT
❌ Not a scalping toy
❌ Not a repainting indicator
❌ Not a one-click signal generator
It is built for disciplined traders who understand structure and risk.
Final Note
AMSC is designed to think like the market, not predict it.
Use it to read conditions, not chase signals.
MSC — BEST CLEAN SETUP (RECOMMENDED)
🎯 Design Philosophy
“Context first, signals last.”
The goal is to:
Read trend & structure at a glance
Avoid indicator overload
Let price + zones + channel do the heavy lifting
1️⃣ CORE VISUALS (KEEP ON)
These are non-negotiable.
🔹 Adaptive ATR Trend Channel
✅ ON
Primary trend bias
Use ATR Trendline Color = ON
This alone defines:
Bull vs Bear
Strength vs weakness
👉 If price is above channel → bullish context
👉 If price is below channel → bearish context
🔹 Pivot ATR Trend Channel
✅ ON
Channel fill: ON
Transparency ≥ 85
Purpose:
Visualise trend slope
Spot pullbacks inside trend
👉 Treat channel edges as dynamic structure, not entry signals.
🔹 Supply & Demand Zones
✅ ON
Transparency: 80–85
Zones auto-expire visually when violated
👉 These are your only horizontal levels.
2️⃣ SMART FILTERS (SELECTIVE)
💧 Liquidity Sweep
✅ ON
Lookback: 5
Tolerance: 0.15 ATR
👉 Use sweeps only near zones
❌ Ignore sweeps in the middle of nowhere
⏱ Session Filter
✅ ON
Trade only one session
India (for NSE)
London (for FX)
New York (for US indices)
❌ Do NOT enable multiple sessions simultaneously
🔍 Higher Timeframe (HTF)
✅ ON
Intraday: Daily
Swing: Weekly
👉 If HTF disagrees → no trade
3️⃣ WHAT TO TURN OFF (CRITICAL)
This is where clutter dies.
❌ Bollinger Bands
🚫 OFF by default
Use only when studying volatility compression
Otherwise adds visual noise
❌ Full ATR Channel (Ver 15)
🚫 OFF
Redundant with pivot + ATR trend
Keep only one channel logic
❌ SuperTrend Channel
🚫 OFF
ATR Trend Channel already covers this
❌ Pivot Levels (P, R1, S1…)
🚫 OFF
Zones replace static pivots
Too many horizontal lines = paralysis
❌ Previous Day / Week Levels
🚫 OFF
Turn ON only for index option trading
Otherwise clutter
4️⃣ MOVING AVERAGES (STRICT RULE)
Keep ONLY:
EMA Fast (9)
EMA Slow (21)
Optional:
HMA → ON only for scalping
❌ Do NOT stack multiple MAs visually
5️⃣ DASHBOARD (MINIMAL MODE)
🧭 Dashboard
✅ ON
Position: Top Right
Text Size: Small
Watch only:
Trend
Strength
HTF
Zone
Signal
Ignore factor numbers once confidence develops.
6️⃣ SIGNAL USAGE (DISCIPLINE RULE)
✔ Signal must appear inside a zone
✔ Signal must align with trend & HTF
✔ Signal must be during session
❌ Never take:
Signals mid-channel
Signals against HTF
Signals during flat strength (<30%)
7️⃣ RECOMMENDED PRESETS (COPY THIS)
🔹 Intraday (Clean)
Timeframe: 5m / 15m
HTF: Daily
Session: India / NY
BB: OFF
Full ATR: OFF
SuperTrend: OFF
Pivots: OFF
🔹 Swing (Ultra Clean)
Timeframe: 1H / 4H
HTF: Weekly
Liquidity: ON
Zones: ON
Dashboard: ON (small)
8️⃣ GOLDEN RULE (MOST IMPORTANT)
If you cannot explain the trade using only:
Trend channel
One zone
One sweep
Do not trade it.
🏁 FINAL VERDICT
AMSC is not cluttered by design.
Clutter comes from turning everything ON.
Used correctly:
The chart stays clean
Decisions become obvious
Overtrading disappears
AMSC – TRADE EXECUTION RULEBOOK
Framework rule:
Trend → Structure → Liquidity → Entry → Risk → Exit
1️⃣ MARKET PRE-CONDITIONS (MANDATORY)
❌ NO TRADE unless ALL are TRUE
✅ Trend Filter
ATR Trend Channel = Bull for longs / Bear for shorts
Trend strength ≥ 40%
Price must be on the correct side of the channel
✅ HTF Confirmation
HTF bias must match LTF trend
If HTF is neutral → NO TRADE
✅ Session Filter
Trade only during active session
No first 5 minutes after session open
No last 15 minutes before session close
2️⃣ LOCATION RULE (MOST IMPORTANT)
🔹 Long Trades
Price must be inside or just above a DEMAND zone
Zone must be:
Fresh (not tested more than twice)
Within the Pivot ATR Channel
🔹 Short Trades
Price must be inside or just below a SUPPLY zone
Same freshness rules apply
❌ No zone → no trade
3️⃣ LIQUIDITY CONFIRMATION (ENTRY TRIGGER)
🔹 Long Entry Trigger
At the demand zone, you must see:
✔ Sell-side liquidity sweep
✔ Sweep candle closes bullish
✔ Sweep occurs inside the zone
🔹 Short Entry Trigger
At the supply zone, you must see:
✔ Buy-side liquidity sweep
✔ Sweep candle closes bearish
✔ Sweep occurs inside the zone
4️⃣ ENTRY RULE (EXECUTION)
🔵 LONG ENTRY
Enter BUY when all conditions align and:
Enter at:
Close of the sweep candle OR
50% retrace of the sweep candle (preferred)
🔴 SHORT ENTRY
Enter SELL when:
Enter at:
Close of the sweep candle OR
50% retrace of the sweep candle
5️⃣ STOP-LOSS RULES (NON-NEGOTIABLE)
🔻 Long SL
Place SL at:
Lowest point of the demand zone
OR
Below sweep low − 0.1 ATR (whichever is lower)
🔺 Short SL
Place SL at:
Highest point of the supply zone
OR
Above sweep high + 0.1 ATR (whichever is higher)
❌ Never trail SL early
❌ Never move SL to break-even before partial exit
6️⃣ POSITION SIZE (FIXED RISK ONLY)
Risk per trade: 0.5% – 1% max
If SL distance is large → reduce position size
Do not widen SL to fit position
7️⃣ EXIT RULES (STRUCTURED)
🎯 TARGET 1 (T1 – Protection)
At 1R
Action:
Book 50%
Move SL to Break-Even
🎯 TARGET 2 (T2 – Structure)
Next opposite zone
OR
Pivot ATR Channel mid-line
Book 30%
🎯 FINAL EXIT (TREND FOLLOW)
Exit remaining 20% when:
✔ Opposite liquidity sweep occurs
✔ Price closes beyond Pivot ATR Channel
✔ HTF bias flips
✔ Session ends
8️⃣ NO-TRADE CONDITIONS (ABSOLUTE)
❌ Trend strength < 30%
❌ Zone already tested 3+ times
❌ Liquidity sweep outside zone
❌ Entry candle is oversized (>1.8 ATR)
❌ Trade against HTF
❌ Emotional or revenge trade
9️⃣ ONE-SCREEN TRADE CHECKLIST
Before clicking BUY/SELL:
✔ Trend aligned
✔ HTF aligned
✔ In session
✔ At zone
✔ Sweep confirmed
✔ SL defined
✔ R ≥ 2 possible
If any answer = NO → skip trade
🔒 DISCIPLINE STATEMENT (PRINT THIS)
AMSC does not pay for activity.
It pays for patience, location, and discipline.
🏁 EXPECTED PERFORMANCE (REALISTIC)
Win rate: 45–60%
R:R average: 1:2.5 to 1:4
Drawdown: low
Trade frequency: selective
Adaptive Market Structure Channel — Visual Layout
5
🧭 How to READ the Chart (Left → Right)
1️⃣ Core Trend Context (FIRST thing your eyes see)
ATR Trend Channel
Acts as dynamic support/resistance
Green = bullish regime
Red = bearish regime
No second trendline competing with it
👉 If price is on the wrong side → no trade
2️⃣ Pivot ATR Structure Channel (SECOND layer)
Sloping channel following real swing structure
Shows:
Trend acceleration
Healthy pullbacks
Channel fill is very light (high transparency)
👉 Pullbacks inside this channel are valid
👉 Breaks outside = caution / exit
3️⃣ Supply & Demand Zones (ONLY horizontal objects)
Few, wide, soft-colored zones
No pivot clutter, no fibs, no grids
👉 Trades happen only here
4️⃣ Liquidity Sweep Markers (EVENT-BASED)
Appears only near zones
Indicates stop-hunt, not entry by itself
👉 Sweep + zone + trend = setup
👉 Sweep alone = ignore
5️⃣ Dashboard (Decision Support, not distraction)
Small
Corner-placed
Shows only:
Trend
Strength
HTF bias
Zone
Signal
Session
👉 After experience, you’ll barely look at it
🚫 What You DO NOT See (Very Important)
A clean AMSC chart intentionally avoids:
Multiple moving averages
Pivot levels (P/R/S)
Too many channels
Oscillator panels
Bright fills or thick lines
If your chart looks “busy”, something is ON that should be OFF.
🧠 Mental Model (Keep This Image in Mind)
AMSC chart =
1 dynamic trend
1 structure channel
1 zone
1 liquidity event
1 decision
Anything more → clutter
Anything less → blind trading
✅ Final Visual Checklist (Before Trading)
✔ Chart background visible
✔ Candles clearly readable
✔ Zones visible but not loud
✔ Channel guides the eye
✔ Nothing overlaps price excessively
If yes → you are trading AMSC correctly
Hyperfork Matrix🔱 Hyperfork Matrix 🔱 A manual Andrews Pitchfork tool with action/reaction propagation lines and lattice matrix functionality. This indicator extends Dr. Alan Andrews' and Patrick Mikula's median line methodology by automating the projection of reaction and action lines at equidistant intervals, creating a time-price grid that highlights where pivot levels intersect the matrix.
Three pitchfork variants are supported: Original, Schiff, and Modified Schiff. Each variant adjusts the anchor point position to accommodate different trend angles.
═══════════════════════════════════════════════════════════════
█ THE METHOD
Andrews Pitchfork
Dr. Alan Andrews developed the pitchfork as a trend channel tool. The core principle: price tends to return to the median line roughly 80% of the time. When it fails to reach the median, a reversal may be developing.
A pitchfork requires three pivot points:
• Point A — The anchor (starting pivot)
• Point B — First swing in the opposite direction
• Point C — Second swing, same direction as A
The median line runs from Point A through the midpoint of B-C. Parallel lines through B and C form the channel boundaries.
Action/Reaction Principle
Based on Newton's third law ("action and reaction are equal and opposite"), this principle suggests that price movements elicit proportional reactions in the future. By projecting lines at equal intervals along the pitchfork's slope, we anticipate where these reactions may occur.
Lattice Matrix
The lattice squares pivot price levels to the matrix structure. A horizontal from your selected pivot intersects the pitchfork and propagation lines, with verticals drawn at each intersection. These verticals mark time points where price-time geometry converges—potential areas to watch for trend changes.
═══════════════════════════════════════════════════════════════
█ HOW THE INDICATOR WORKS
This section explains the calculation flow from your inputs to the final drawing.
Step 1 — Pivot Selection
You click on the chart to select three timestamps. The indicator retrieves the high or low price at each timestamp based on your starting pivot type selection:
• Starting with "Low" creates a Low-High-Low pattern
• Starting with "High" creates a High-Low-High pattern
Step 2 — Anchor Calculation
The anchor position depends on your pitchfork variant:
• Original — Anchor stays at Point A
• Schiff — Anchor shifts 50% toward B in price (Y-axis only)
• Modified Schiff — Anchor shifts 50% toward B in both time and price
Step 3 — Median Line
A line is drawn from the anchor through the midpoint of the B-C segment. This median line defines the channel's slope and center.
Step 4 — Parallel Tines
Parallel lines are drawn through Points B and C, maintaining the median line's slope. These form the upper and lower channel boundaries.
Step 5 — Extra Parallels
If configured, additional parallel lines are drawn at equal spacing beyond B and C. The spacing equals the distance from the median to each tine.
Step 6 — Handle Length
The "handle" is the segment from the anchor to the B-C midpoint. This length becomes the unit of measurement for propagation.
Step 7 — Propagation Points
Points are placed along the median line at handle-length intervals:
• Forward points extend into the future
• Backward points extend into the past
Step 8 — Reaction Lines
Through each propagation point, a line is drawn parallel to B-C (the transversal slope). These reaction lines mark time-price zones based on the original swing rhythm, where trend changes may occur.
Step 9 — Action Lines
Through each propagation point, a line is drawn parallel to A-B (the initial move slope). These action lines project the original momentum into future price zones.
Step 10 — Lattice Grid
If enabled, a horizontal line is drawn at the price level of your selected pivot. Vertical lines are then drawn at every intersection between this horizontal and the selected line type (pitchfork, reaction, or action lines).
Step 11 — Alert Monitoring
On each bar, the indicator checks if the price has crossed any of the drawn lines. Crossings trigger alerts based on your configuration.
═══════════════════════════════════════════════════════════════
█ PITCHFORK VARIANTS
Original (Andrews)
The classic pitchfork. The anchor remains at Point A. Best suited for strong trending markets where price respects steep channels.
Schiff
Named after Jerome Schiff, a student of Andrews. The anchor shifts halfway toward Point B in price only—same time position as A, but price is the midpoint of A and B.
This produces a less steep channel, better suited for:
• Shallow trends
• Corrective phases
• Markets where the original pitchfork angle is too aggressive
Modified Schiff
The anchor shifts halfway toward Point B in both time and price—positioned at the midpoint of the A-B segment.
This creates an even gentler slope than the standard Schiff variant. Use when:
• Trends are weak or ranging
• Price doesn't respect steeper channel angles
• You need a middle ground between Original and Schiff
═══════════════════════════════════════════════════════════════
█ ACTION & REACTION LINES
Reaction Lines
These run parallel to the B-C segment (the "transversal"). They represent the market's response rhythm—the swing from B to C sets a pattern that may repeat at predictable intervals.
Action Lines
These run parallel to the A-B segment (the initial impulse). They project the original momentum forward, suggesting where similar price movements may begin or end.
Forward vs Backward
• Forward Lines — Project into the future beyond the B-C midpoint
• Backward Lines — Project into the past before Point A
Most analysis focuses on forward lines, but backward lines can reveal historical confluence with past pivots.
Propagation Spacing
Lines are spaced at equal intervals defined by the handle length (anchor to B-C midpoint). This creates a rhythmic structure where each segment equals the original pitchfork's core measurement.
Action Lines
Reaction Lines
Extra Parallels with/ both Action & Reactions Line extended within the grid
═══════════════════════════════════════════════════════════════
█ LATTICE MATRIX
The lattice creates a grid overlay within the pitchfork structure.
Horizontal Line
A horizontal line is drawn at the price level of your selected pivot (A, B, or C). This squares the pivot's price level to find where it aligns with the matrix structure. These confluences may represent higher-probability reaction points in time.
Vertical Lines
Vertical lines are drawn at every point where the horizontal intersects your selected line source. These verticals mark time points—potential areas to watch for trend changes.
• Pitchfork & Parallels — Intersections with median and all parallel tines
• Action Lines — Intersections with action transversals
• Reaction Lines — Intersections with reaction transversals
• Action & Reaction — Both types combined
Envelope Clamping
Lattice lines are automatically clamped to stay within the pitchfork's channel envelope (bounded by the outermost parallels). This keeps the grid visually clean and focused on relevant areas.
═══════════════════════════════════════════════════════════════
█ ALERTS
The indicator monitors price crossings and triggers alerts when the price moves through any drawn line type.
Available Alert Types
• Pitchfork Lines — Crossing the median or any parallel
• Action Lines — Crossing any action transversal (when action lines are drawn)
• Reaction Lines — Crossing any reaction transversal (when reaction lines are drawn)
• Lattice Horizontal — Crossing the horizontal price level (when lattice is enabled)
• Any Line Crossing — Combined alert for all of the above
Setting Up Alerts
1. Right-click on the indicator or use the alert menu
2. Select "Create Alert."
3. Choose the desired condition from the dropdown
4. Configure notification preferences (pop-up, email, webhook, etc.)
Alert Timing
Alerts trigger once per bar close when a crossing is detected between the previous and current bar's close prices.
═══════════════════════════════════════════════════════════════
█ HOW TO USE
Basic Setup
1. Add the indicator to your chart
2. When prompted, click on three pivot points in sequence: A, B, C
3. Choose starting pivot type: Auto (detects pattern), Low (LHL), or High (HLH)
4. The pitchfork draws automatically
Adjusting the Pitchfork
• Change the variant (Original/Schiff/Modified Schiff) if the angle doesn't suit your trend
• Add extra parallel levels to see where price might react beyond the main channel
• Disable or Adjust price range min/max to hide parallels outside your focus area
Adding Propagation Lines
• Adjust forward offset to add/remove lines beyond auto-extend (0 = to current bar)
• Choose which line types to display: Reaction Only, Action Only, or Both
• Customize colors to distinguish line types visually
Using the Lattice
• Enable "Draw Lattice" in the Lattice settings group
• Select which pivot's price level to use for the horizontal
• Choose the intersection source that matches your analysis style
• Look for time zones where verticals cluster—these may be significant dates
Log Scale Charts
If your chart uses logarithmic scale, enable "Logarithmic Scale" in Pitchfork Settings. This ensures all calculations transform correctly for log price axes.
═══════════════════════════════════════════════════════════════
█ SETTINGS REFERENCE
1. Pivot Points
• Starting Pivot Type — Auto (detect pattern), Low (force LHL), or High (force HLH)
• Pivot A/B/C Time — Timestamps for your three pivots (click to select)
• Show Pivot Labels — Display A, B, C labels at pivot locations
• Pivot Colors — Customize high/low label colors
• Label Size — Tiny, Small, Normal, or Large
2. Pitchfork Settings
• Logarithmic Scale — Enable for log charts
• Pitchfork Type — Original, Schiff, or Modified Schiff
• Extra Parallel Levels — Additional parallels beyond B and C
• Line styling (color, width, style)
• Extend Direction — Right only or Both directions
• Enable Price Range Filter — Toggle filtering of extra parallels
• Price Range Min/Max — Hide extra parallels outside this range
3. Action / Reaction Lines
• Draw Type — None, Reaction Only, Action Only, or Both
• Forward Lines Offset — Adjust from auto-extend (0 = to current bar, positive adds more)
• Backward Lines Count — Number of lines projected before Point A
• Separate styling for reaction and action lines
4. Lattice
• Draw Lattice — Master toggle
• Select Pivot for Horizontal — A, B, or C price level
• Intersection Source — Which lines to use for vertical placement
• Lattice styling
═══════════════════════════════════════════════════════════════
█ LIMITATIONS
• Maximum 500 lines — TradingView limits line objects; complex setups with many parallels and propagation lines may approach this limit
• Manual pivot selection — Pivots must be selected manually via timestamp inputs; no auto-detection
• Log scale requires toggle — You must enable "Logarithmic Scale" manually if your chart uses log axes
• Minor visual drift — Action/Reaction lines may shift slightly when toggling between odd and even extra parallel counts (cosmetic only)
• Backward lines visibility — When adding backward propagation lines, you may need to scroll the chart left for them to render
═══════════════════════════════════════════════════════════════
█ FURTHER READING
For deeper study of pitchfork analysis and action/reaction methodology:
• Patrick Mikula's "The Best Trendline Methods of Alan Andrews and Five New Trendline Techniques"
No affiliation implied. Referenced for educational context only.
═══════════════════════════════════════════════════════════════
█ RELATED
For a video walkthrough of the Super Pitchfork methodology that inspired this indicator:
How to Build a Super Pitchfork with Reaction & Trigger Lines
This tutorial covers manual pitchfork construction, reaction line projection, and timing techniques.
London Session Counter-Trend Strategy
👉 Timeframe: 15 minutes
🕗 Phase 1 — Morning Market Reading
Between 8:00 and 9:00, we observe the dominant market direction.
This direction is considered structural for the rest of the trading day.
If this movement continues until 10:00, it is also validated until a clear pullback occurs.
➡️ Therefore:
8:00–9:00 (and possibly until 10:00) = analysis zone
📐 Phase 2 — Trendline Construction
We draw a dashed trendline based on:
the lowest point if the 9:00 trend is bullish
the highest point if the 9:00 trend is bearish
This trendline acts as a key reference level.
🔄 Phase 3 — Trade Setup
We do NOT trade in the direction of the 8:00 trend.
Instead, we wait for:
a price retracement back to the trendline
Then:
we enter a position in the opposite direction of the 8:00 trend
👉 This is a counter-trend strategy, but a structural and rule-based one — not emotional.
Log Trend Channel Enhanced**Log Trend Channel Enhanced (LTC+)**
A logarithmic regression channel with 11 deviation bands and comprehensive statistical metrics.
**Features:**
- Logarithmic regression trendline from customizable start date
- 11 parallel bands at ±0.5σ, ±1σ, ±1.5σ, ±2σ, ±2.5σ standard deviations
- Color-coded zones (green = undervalued, red = overvalued)
**Metrics displayed:**
- R² (goodness of fit)
- Pearson correlation
- Implied CAGR (annualized return from trendline)
- Distance from trend (%)
- Current σ position
- Channel position (%)
- Historical percentile rank
**Usage:**
Ideal for long-term trend analysis on assets with exponential growth patterns. Use on log-scale charts for best visualization. Green zones near -2σ historically indicate accumulation opportunities; red zones near +2σ suggest distribution phases.
**Settings:**
- Adjustable start date (default: 1 year ago)
- Customizable colors and line widths
- Optional deviation labels
- Configurable future projection
Quantum Market Analyzer X7Quantum Market Analyzer X7 - Complete Study Guide
Table of Contents
1. Overview
2. Indicator Components
3. Signal Interpretation
4. Live Market Analysis Guide
5. Best Practices
6. Limitations and Considerations
7. Risk Disclaimer
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Overview
The Quantum Market Analyzer X7 is a comprehensive multi-timeframe technical analysis indicator that combines traditional and modern analytical methods. It aggregates signals from multiple technical indicators across seven key analysis categories to provide traders with a consolidated view of market sentiment and potential trading opportunities.
Key Features:
• Multi-Indicator Analysis: Combines 20+ technical indicators
• Real-Time Dashboard: Professional interface with customizable display
• Signal Aggregation: Weighted scoring system for overall market sentiment
• Advanced Analytics: Includes Order Block detection, Supertrend, and Volume analysis
• Visual Progress Indicators: Easy-to-read progress bars for signal strength
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Indicator Components
1. Oscillators Section
Purpose: Identifies overbought/oversold conditions and momentum changes
Included Indicators:
• RSI (14): Relative Strength Index - momentum oscillator
• Stochastic (14): Compares closing price to price range
• CCI (20): Commodity Channel Index - cycle identification
• Williams %R (14): Momentum indicator similar to Stochastic
• MACD (12,26,9): Moving Average Convergence Divergence
• Momentum (10): Rate of price change
• ROC (9): Rate of Change
• Bollinger Bands (20,2): Volatility-based indicator
Signal Interpretation:
• Strong Buy (6+ points): Multiple oscillators indicate oversold conditions
• Buy (2-5 points): Moderate bullish momentum
• Neutral (-1 to 1 points): Balanced conditions
• Sell (-2 to -5 points): Moderate bearish momentum
• Strong Sell (-6+ points): Multiple oscillators indicate overbought conditions
2. Moving Averages Section
Purpose: Determines trend direction and strength
Included Indicators:
• SMA: 10, 20, 50, 100, 200 periods
• EMA: 10, 20, 50 periods
Signal Logic:
• Price >2% above MA = Strong Buy (+2)
• Price above MA = Buy (+1)
• Price below MA = Sell (-1)
• Price >2% below MA = Strong Sell (-2)
Signal Interpretation:
• Strong Buy (6+ points): Price well above multiple MAs, strong uptrend
• Buy (2-5 points): Price above most MAs, bullish trend
• Neutral (-1 to 1 points): Mixed MA signals, consolidation
• Sell (-2 to -5 points): Price below most MAs, bearish trend
• Strong Sell (-6+ points): Price well below multiple MAs, strong downtrend
3. Order Block Analysis
Purpose: Identifies institutional support/resistance levels and breakouts
How It Works:
• Detects historical levels where large orders were placed
• Monitors price behavior around these levels
• Identifies breakouts from established order blocks
Signal Types:
• BULLISH BRK (+2): Breakout above resistance order block
• BEARISH BRK (-2): Breakdown below support order block
• ABOVE SUP (+1): Price holding above support
• BELOW RES (-1): Price rejected at resistance
• NEUTRAL (0): No significant order block interaction
4. Supertrend Analysis
Purpose: Trend following indicator based on Average True Range
Parameters:
• ATR Period: 10 (default)
• ATR Multiplier: 6.0 (default)
Signal Types:
• BULLISH (+2): Price above Supertrend line
• BEARISH (-2): Price below Supertrend line
• NEUTRAL (0): Transition period
5. Trendline/Channel Analysis
Purpose: Identifies trend channels and breakout patterns
Components:
• Dynamic trendline calculation using pivot points
• Channel width based on historical volatility
• Breakout detection algorithm
Signal Types:
• UPPER BRK (+2): Breakout above upper channel
• LOWER BRK (-2): Breakdown below lower channel
• ABOVE MID (+1): Price above channel midline
• BELOW MID (-1): Price below channel midline
6. Volume Analysis
Purpose: Confirms price movements with volume data
Components:
• Volume spikes detection
• On Balance Volume (OBV)
• Volume Price Trend (VPT)
• Money Flow Index (MFI)
• Accumulation/Distribution Line
Signal Calculation: Multiple volume indicators are combined to determine institutional activity and confirm price movements.
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Signal Interpretation
Overall Summary Signals
The indicator aggregates all component signals into an overall market sentiment:
Signal Score Range Interpretation Action
STRONG BUY 10+ Overwhelming bullish consensus Consider long positions
BUY 4-9 Moderate to strong bullish bias Look for long opportunities
NEUTRAL -3 to 3 Mixed signals, consolidation Wait for clearer direction
SELL -4 to -9 Moderate to strong bearish bias Look for short opportunities
STRONG SELL -10+ Overwhelming bearish consensus Consider short positions
Progress Bar Interpretation
• Filled bars indicate signal strength
• Green bars: Bullish signals
• Red bars: Bearish signals
• More filled bars = stronger conviction
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Live Market Analysis Guide
Step 1: Initial Assessment
1. Check Overall Summary: Start with the main signal
2. Verify with Component Analysis: Ensure signals align
3. Look for Divergences: Identify conflicting signals
Step 2: Timeframe Analysis
1. Set Appropriate Timeframe: Use 1H for intraday, 4H/1D for swing trading
2. Multi-Timeframe Confirmation: Check higher timeframes for trend context
3. Entry Timing: Use lower timeframes for precise entry points
Step 3: Signal Confirmation Process.
For Buy Signals:
1. Oscillators: Look for oversold conditions (RSI <30, Stoch <20)
2. Moving Averages: Price should be above key MAs
3. Order Blocks: Confirm bounce from support levels
4. Volume: Check for accumulation patterns
5. Supertrend: Ensure bullish trend alignment.
For Sell Signals:
1. Oscillators: Look for overbought conditions (RSI >70, Stoch >80)
2. Moving Averages: Price should be below key MAs
3. Order Blocks: Confirm rejection at resistance levels
4. Volume: Check for distribution patterns
5. Supertrend: Ensure bearish trend alignment.
Step 4: Risk Management Integration
1. Signal Strength Assessment: Stronger signals = larger position size
2. Stop Loss Placement: Use Order Block levels for stops
3. Take Profit Targets: Based on channel analysis and resistance levels
4. Position Sizing: Adjust based on signal confidence
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Best Practices
Entry Strategies
1. High Conviction Entries: Wait for STRONG BUY/SELL signals
2. Confluence Trading: Look for multiple components aligning
3. Breakout Trading: Use Order Block and Trendline breakouts
4. Trend Following: Align with Supertrend direction.
Risk Management
1. Never Risk More Than 2% Per Trade: Regardless of signal strength
2. Use Stop Losses: Place at invalidation levels
3. Scale Positions: Stronger signals warrant larger (but still controlled) positions
4. Diversification: Don't rely solely on one indicator.
Market Conditions
1. Trending Markets: Focus on Supertrend and MA signals
2. Range-Bound Markets: Emphasize Oscillator and Order Block signals
3. High Volatility: Reduce position sizes, widen stops
4. Low Volume: Be cautious of breakout signals.
Common Mistakes to Avoid
1. Signal Chasing: Don't enter after signals have already moved significantly
2. Ignoring Context: Consider overall market conditions
3. Overtrading: Wait for high-quality setups
4. Poor Risk Management: Always use appropriate position sizing
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Limitations and Considerations
Technical Limitations
1. Lagging Nature: All technical indicators are based on historical data
2. False Signals: No indicator is 100% accurate
3. Market Regime Changes: Indicators may perform differently in various market conditions
4. Whipsaws: Possible in choppy, sideways markets.
Optimal Use Cases
1. Trending Markets: Performs best in clear trending environments
2. Medium to High Volatility: Requires sufficient price movement for signals
3. Liquid Markets: Works best with adequate volume and tight spreads
4. Multiple Timeframe Analysis: Most effective when used across different timeframes.
When to Use Caution
1. Major News Events: Fundamental analysis may override technical signals
2. Market Opens/Closes: Higher volatility can create false signals
3. Low Volume Periods: Signals may be less reliable
4. Holiday Trading: Reduced participation affects signal quality
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Risk Disclaimer
IMPORTANT LEGAL DISCLAIMER FROM aiTrendview
WARNING: TRADING INVOLVES SUBSTANTIAL RISK OF LOSS
This Quantum Market Analyzer X7 indicator ("the Indicator") is provided for educational and informational purposes only. By using this indicator, you acknowledge and agree to the following terms:
No Investment Advice
• The Indicator does NOT constitute investment advice, financial advice, or trading recommendations
• All signals generated are based on historical price data and mathematical calculations
• Past performance does not guarantee future results
• No representation is made that any account will achieve profits or losses similar to those shown.
Risk Acknowledgment
• TRADING CARRIES SUBSTANTIAL RISK: You may lose some or all of your invested capital
• LEVERAGE AMPLIFIES RISK: Margin trading can result in losses exceeding your initial investment
• MARKET VOLATILITY: Financial markets are inherently unpredictable and volatile
• TECHNICAL ANALYSIS LIMITATIONS: No technical indicator is infallible or guarantees profitable trades.
User Responsibility
• YOU ARE SOLELY RESPONSIBLE for all trading decisions and their consequences
• CONDUCT YOUR OWN RESEARCH: Always perform independent analysis before making trading decisions
• CONSULT PROFESSIONALS: Seek advice from qualified financial advisors
• RISK MANAGEMENT: Implement appropriate risk management strategies
No Warranties
• The Indicator is provided "AS IS" without warranties of any kind
• aiTrendview makes no representations about the accuracy, reliability, or suitability of the Indicator
• Technical glitches, data feed issues, or calculation errors may occur
• The Indicator may not work as expected in all market conditions.
Limitation of Liability
• aiTrendview SHALL NOT BE LIABLE for any direct, indirect, incidental, or consequential damages
• This includes but is not limited to: trading losses, missed opportunities, data inaccuracies, or system failures
• MAXIMUM LIABILITY is limited to the amount paid for the indicator (if any)
Code Usage and Distribution
• This indicator is published on TradingView in accordance with TradingView's house rules
• UNAUTHORIZED MODIFICATION or redistribution of this code is prohibited
• Users may not claim ownership of this intellectual property
• Commercial use requires explicit written permission from aiTrendview.
Compliance and Regulations
• VERIFY LOCAL REGULATIONS: Ensure compliance with your jurisdiction's trading laws
• Some trading strategies may not be suitable for all investors
• Tax implications of trading are your responsibility
• Report trading activities as required by law
Specific Risk Factors
1. False Signals: The Indicator may generate incorrect buy/sell signals
2. Market Gaps: Overnight gaps can invalidate technical analysis
3. Fundamental Events: News and economic data can override technical signals
4. Liquidity Risk: Some markets may have insufficient liquidity
5. Technology Risk: Platform failures or connectivity issues may prevent order execution.
Professional Trading Warning
• THIS IS NOT PROFESSIONAL TRADING SOFTWARE: Not intended for institutional or professional trading
• NO REGULATORY APPROVAL: This indicator has not been approved by any financial regulatory authority
• EDUCATIONAL PURPOSE: Designed primarily for learning technical analysis concepts
FINAL WARNING
NEVER INVEST MONEY YOU CANNOT AFFORD TO LOSE
Trading financial instruments involves significant risk. The majority of retail traders lose money. Before using this indicator in live trading:
1. Practice on paper/demo accounts extensively
2. Start with small position sizes
3. Develop a comprehensive trading plan
4. Implement strict risk management rules
5. Continuously educate yourself about market dynamics
By using the Quantum Market Analyzer X7, you acknowledge that you have read, understood, and agree to this disclaimer. You assume full responsibility for all trading decisions and their outcomes.
Contact: For questions about this disclaimer or the indicator, contact aiTrendview through official TradingView channels only.
________________________________________
This study guide and indicator are published on TradingView in compliance with TradingView's community guidelines and house rules. All users must adhere to TradingView's terms of service when using this indicator.
Document Version: 1.0
Publisher: aiTrendview
________________________________________
Disclaimer
The content provided in this blog post is for educational and training purposes only. It is not intended to be, and should not be construed as, financial, investment, or trading advice. All charting and technical analysis examples are for illustrative purposes. Trading and investing in financial markets involve substantial risk of loss and are not suitable for every individual. Before making any financial decisions, you should consult with a qualified financial professional to assess your personal financial situation.
saodisengxiaoyu-lianghua-2.1- This indicator is a modular, signal-building framework designed to generate long and short signals by combining a chosen leading indicator with selectable confirmation filters. It runs on Pine Script version 5, overlays directly on price, and is built to be highly configurable so traders can tailor the signal logic to their market, timeframe, and trading style. It includes a dashboard to visualize which conditions are active and whether they validate a signal, and it outputs clear buy/sell labels and alert conditions so you can automate or monitor trades with confidence.
Core Design
- Leading Indicator: You choose one primary signal generator from a broad list (for example, Range Filter, Supertrend, MACD, RSI, Ichimoku, and many others). This serves as the anchor of the system and determines when a preliminary long or short setup exists.
- Confirmation Filters: You can enable additional filters that validate the leading signal before it becomes actionable. Each “respect…” input toggles a filter on or off. These filters include popular tools like EMA, 2/3 EMA crosses, RQK (Nadaraya Watson), ADX/DMI, Bollinger-based oscillators, MACD variations, QQE, Hull, VWAP, Choppiness Index, Damiani Volatility, and more.
- Signal Expiry: To avoid waiting indefinitely for confirmations, the indicator counts how many consecutive bars the leading condition holds. If confirmations do not align within a defined number of bars, the setup expires. This controls latency and helps reduce late or stale entries.
- Alternating Signals: An optional mode enforces alternation (long must follow short and vice versa), helping avoid repeated entries in the same direction without a meaningful reset.
- Aggregation Logic: The final long/short conditions are formed by combining the leading condition with all selected confirmation filters through logical conjunction. Only if all enabled filters validate the signal (within expiry constraints) does the indicator consider it a confirmed long or short.
- Visualization and Alerts: The script plots buy/sell labels at signal points, provides alert conditions for automation, and displays a compact dashboard summarizing the leading indicator’s status and each confirmation’s pass/fail result using checkmarks.
Leading Indicator Options
- The indicator includes a very large menu of leading tools, each with its own logic to determine uptrend or downtrend impulses. Highlights include:
- Range Filter: Uses a dynamic centerline and bands computed via conditional EMA/SMA and range sizing to define directional movement. It can operate in a default mode or an alternative “DW” mode.
- Rational Quadratic Kernel (RQK): Applies a kernel smoothing model (Nadaraya Watson) to detect uptrends and downtrends with a focus on noise reduction.
- Supertrend, Half Trend, SSL Channel: Classic trend-following tools that derive direction from ATR-based bands or moving average channels.
- Ichimoku Cloud and SuperIchi: Multi-component systems validating trend via cloud position, conversion/base line relationships, projected cloud, and lagging span.
- TSI (True Strength Index), DPO (Detrended Price Oscillator), AO (Awesome Oscillator), MACD, STC (Schaff Trend Cycle), QQE Mod: Momentum and cycle tools that parse direction from crossovers, zero-line behavior, and momentum shifts.
- Donchian Trend Ribbon, Chandelier Exit: Trend and exit tools that can validate breakouts or sustained trend strength.
- ADX/DMI: Measures trend strength and directional movement via +DI/-DI relationships and minimum ADX thresholds.
- RSI and Stochastic: Use crossovers, level exits, or threshold filters to gate entries based on overbought/oversold dynamics or relative strength trends.
- Vortex, Chaikin Money Flow, VWAP, Bull Bear Power, ROC, Wolfpack Id, Hull Suite: A diverse set of directional, momentum, and volume-based indicators to suit different markets and styles.
- Trendline Breakout and Range Detector: Price-behavior filters that confirm signals during breakouts or within defined ranges.
Confirmation Filters
- Each filter is optional. When enabled, it must validate the leading condition for a signal to pass. Examples:
- EMA Filter: Requires price to be above a specified EMA for longs and below for shorts, filtering signals that contradict broader trend or baseline levels.
- 2 EMA Cross and 3 EMA Cross: Enforce moving average cross conditions (fast above slow for long, the reverse for short) or a three-line stacking logic for more stringent trend alignment.
- RQK, Supertrend, Half Trend, Donchian, QQE, Hull, MACD (crossover vs. zero-line), AO (zero line or AC momentum variants), SSL: Each adds its characteristic validation pattern.
- RSI family (MA cross, exits OB/OS zones, threshold levels) plus RSI MA direction and RSI/RSI MA limits: Multiple ways to constrain signals via relative strength behavior and trajectories.
- Choppiness Index and Damiani Volatility: Prevent entries during ranging conditions or insufficient volatility; choppiness thresholds and volatility states gate the trade.
- VWAP, Volume modes (above MA, simple up/down, delta), Chaikin Money Flow: Volume and flow conditions that ensure signals happen in supportive liquidity or accumulation/distribution contexts.
- ADX/DMI thresholds: Demand a minimum trend strength and directional DI alignment to reduce whipsaw trades.
- Trendline Breakout and Range Detector: Confirm that the price is breaking structure or remains within active range consistent with the leading setup.
- By combining several filters you can create strict, conservative entries or looser setups depending on your goals.
Range Filter Engine
- A core building block, the Range Filter uses conditional EMA and SMA functions to compute adaptive bands around a dynamic centerline. It supports two types:
- Type 1: The centerline updates when price exceeds the band thresholds; bands define acceptable drift ranges.
- Type 2: Uses quantized steps (via floor operations) relative to the previous centerline to handle larger moves in discrete increments.
- The engine offers smoothing for range values using a secondary EMA and can switch between raw and averaged outputs. Its hi/lo bands and centerline compose a corridor that defines directional movement and potential breakout confirmation.
Signal Construction
- The script computes:
- leadinglongcond and leadingshortcond : The primary directional signals from the chosen leading indicator.
- longCond and shortCond : Final signals formed by combining the leading conditions with all enabled confirmations. Each confirmation contributes a boolean gate. If a filter is disabled, it contributes a neutral pass-through, keeping the logic intact without enforcing that condition.
- Expiry Logic: The code counts consecutive bars where the leading condition remains true. If confirmations do not line up within the user-defined “Signal Expiry Candle Count,” the setup is abandoned and the signal does not trigger.
- Alternation: An optional state ensures that long and short signals alternate. This can reduce repeated entries in the same direction without a clear reset.
- Finally, longCondition and shortCondition represent the actionable signals after expiry and alternation logic. These drive the label plotting and alert conditions.
Visualization
- Buy and Sell Labels: When longCondition or shortCondition confirm, the script plots annotated labels directly on the chart, making entries easy to see at a glance. The labels use color coding and clear text tags (“long” vs. “short”).
- Dashboard: A table summarizes the status of the leading indicator and all confirmations. Each row shows the indicator label and whether it passed (✔️) or failed (❌) on the current bar. This intensely practical UI helps you diagnose why a signal did or did not trigger, empowering faster strategy iteration and parameter tuning.
- Failed Confirmation Markers: If a setup expires (count exceeds the limit) and confirmations failed to align, the script can mark the chart with a small label and provide a tooltip listing which confirmations did not pass. It’s a helpful audit trail to understand missed trades or prevent “chasing” invalid signals.
- Data Window Values: The script outputs signal states to the data window, which can be useful for debugging or building composite conditions in multi-indicator templates.
Inputs and Parameters
- You control the indicator from a comprehensive input panel:
- Setup: Signal expiry count, whether to enforce alternating signals, and whether to display labels and the dashboard (including position and size).
- Leading Indicator: Choose the primary signal generator from the large list.
- Per-Filter Toggles: For each confirmation, a respect... toggle enables or disables it. Many include sub-options (like MACD type, Stochastic mode, RSI mode, ADX variants, thresholds for choppiness/volatility, etc.) to fine-tune behavior.
- Range Filter Settings: Choose type and behavior; select default vs. DW mode and smoothing. The underlying functions adjust band sizes using ATR, average change, standard deviation, or user-defined scales.
- Because everything is customizable, you can adapt the indicator to different assets, volatility regimes, and timeframes.
Alerts and Automation
- The script defines alert conditions tied to longCondition and shortCondition . You can set these alerts in your chart to trigger notifications or webhook calls for automated execution in external bots. The alert text is simple, and you can configure your own message template when creating alerts in the chart, including JSON payloads for algorithmic integration.
Typical Workflow
- Select a Leading Indicator aligned with your style. For trend following, Supertrend or SSL may be appropriate; for momentum, MACD or TSI; for range/trend-change detection, Range Filter, RQK, or Donchian.
- Add a few key Confirmation Filters that complement the leading signal. For example:
- Pair Supertrend with EMA Filter and RSI MA Direction to ensure trend alignment and positive momentum.
- Combine MACD Crossover with ADX/DMI and Volume Above MA to avoid signals in low-trend or low-liquidity conditions.
- Use RQK with Choppiness Index and Damiani Volatility to only act when the market is trending and volatile enough.
- Set a sensible Signal Expiry Candle Count. Shorter expiry keeps entries timely and reduces lag; longer expiry captures setups that mature slowly.
- Observe the Dashboard during live markets to see which filters pass or fail, then iterate. Tighten or loosen thresholds and filter combinations as needed.
- For automation, turn on alerts for the final conditions and use webhook payloads to notify your trading robot.
Strengths and Practical Notes
- Flexibility: The indicator is a toolkit rather than a single rigid model. It lets you test different combinations rapidly and visualize outcomes immediately.
- Clarity: Labels, dashboard, and failed-confirmation markers make it easy to audit behavior and refine settings without digging into code.
- Robustness: The expiry and alternation options add discipline, avoiding the temptation to enter late or repeatedly in one direction without a reset.
- Modular Design: The logical gates (“respect…”) make the behavior transparent: if a filter is on, it must pass; if it’s off, the signal ignores it. This keeps reasoning clean.
- Avoiding Overfitting: Because you can stack many filters, it’s tempting to over-constrain signals. Start simple (one leading indicator and one or two confirmations). Add complexity only if it demonstrably improves your edge across varied market regimes.
Limitations and Recommendations
- No single configuration is universally optimal. Markets change; tune filters for the instrument and timeframe you trade and revisit settings periodically.
- Trend filters can underperform in choppy markets; likewise, momentum filters can false-trigger in quiet periods. Consider using Choppiness Index or Damiani to gate signals by regime.
- Use expiry wisely. Too short may miss good setups that need a few bars to confirm; too long may cause late entries. Balance responsiveness and accuracy.
- Always consider risk management externally (position sizing, stops, profit targets). The indicator focuses on signal quality; combining it with robust trade management methods will improve results.
Example Configurations
- Trend-Following Setup:
- Leading: Supertrend uptrend for longs and downtrend for shorts.
- Confirmations: EMA Filter (price above 200 EMA for long, below for short), ADX/DMI (trend strength above threshold with +DI/-DI alignment), Volume Above MA.
- Expiry: 3–4 bars to keep entries timely.
- Result: Strong bias toward sustained moves while avoiding weak trends and thin liquidity.
- Mean-Reversion to Momentum Crossover:
- Leading: RSI exits from OB/OS zones (e.g., RSI leaves oversold for long and leaves overbought for short).
- Confirmations: 2 EMA Cross (fast crossing slow in the same direction), MACD zero-line behavior for added momentum validation.
- Expiry: 2–3 bars for responsive re-entry.
- Result: Captures momentum transitions after short-term extremes, with extra confirmation to reduce head-fakes.
- Range Breakout Focus:
- Leading: Range Filter Type 2 or Donchian Trend Ribbon to detect breakouts.
- Confirmations: Damiani Volatility (avoid low-volatility false breaks), Choppiness Index (prefer trend-ready states), ROC positive/negative threshold.
- Expiry: 1–3 bars to act on breakout windows.
- Result: Better alignment to breakout dynamics, gating trades by volatility and regime.
Conclusion
- This indicator is a comprehensive, configurable framework that merges a chosen leading signal with an array of corroborating filters, disciplined expiry handling, and intuitive visualization. It’s designed to help you build high-quality entry signals tailored to your approach, whether that’s trend-following, breakout trading, momentum capturing, or a hybrid. By surfacing pass/fail states in a dashboard and allowing alert-based automation, it bridges the gap between discretionary analysis and systematic execution. With sensible parameter tuning and thoughtful filter selection, it can serve as a robust backbone for signal generation across diverse instruments and timeframes.
