移動平均線
bollinger bandsWhat the indicator is (Generated by trade-pilot.app Builder)
This is a hybrid trend/continuation + EMA crossover signal indicator that generates LONG/SHORT entries only when multiple filters agree. It’s built to avoid “random” signals by forcing confirmation from trend direction, volatility, and risk/reward conditions, and it can also restrict signals to a specific trading session + timezone.
Main modules inside the code
1) Session filter (time-based)
The script checks if the current bar is inside the chosen session (default 09:30–16:00 New York time).
✅ Signals only trigger inSession
❌ No signals outside session
This helps you avoid entries during dead/low-quality hours.
2) Bollinger “Continuation Setup”
It calculates Bollinger Bands (default Length 20, Mult 2) and looks for a continuation pattern:
Trend detection (slope-based):
It measures the slope of the Bollinger middle band (basis).
If slope is up and price is above the basis → uptrend
If slope is down and price is below the basis → downtrend
Pullback + confirmation:
Long setup: price makes a pullback toward the middle band area (without breaking too deep) and then prints a bullish confirmation candle closing above the basis.
Short setup: same idea but reversed (pullback up + bearish confirmation candle closing below the basis).
✅ Result: signals that aim to catch trend continuation after a pullback, not random touches.
3) Stop & Target visualization (Bollinger-based)
When a continuation setup happens, the script calculates:
Stop (long): near the middle band / recent lowest lows
Stop (short): near the middle band / recent highest highs
Target (long): upper Bollinger band
Target (short): lower Bollinger band
On the chart (like in your screenshot), you see:
Bollinger Bands
Stop/target points shown as colored circles when a setup triggers
This makes it easier to visually understand the trade structure.
4) Bandwidth filter (volatility filter)
It calculates Bollinger Bandwidth (percentage width of the bands).
Signal only passes if:
Bandwidth ≥ minimum threshold (default 0.8%)
✅ Helps avoid trading when volatility is too low (chop / squeeze conditions).
5) Risk:Reward filter (quality filter)
This part estimates whether the trade has enough “room” to make sense:
Stop distance is ATR-based: ATR × multiplier
Target distance is approximated using recent swing potential:
Long: distance to recent highest high (last 10 bars)
Short: distance to recent lowest low (last 10 bars)
Then it calculates:
RR = targetDistance / stopDistance
and requires:
RR ≥ minimum RR (default 1.0)
✅ Helps filter out trades where the potential reward is too small compared to risk.
6) EMA crossover signals (secondary signal engine)
It also plots:
Fast EMA (default 20)
Slow EMA (default 50)
It generates extra signals on:
Bullish crossover (fast crosses above slow)
Bearish crossunder
So final signals can come from:
Bollinger continuation OR
EMA crossover
…but still must pass bandwidth + RR + session filters.
Final signal rule (important)
A LONG is printed only when:
(Bollinger continuation long OR EMA bullish crossover)
AND bandwidth filter passes
AND RR filter passes
AND inside session
Same logic for SHORT.
That’s why the signals are more selective.
What you see on the chart (like your screenshot)
Bollinger Bands (upper/middle/lower)
EMA fast + EMA slow
Red/green arrows for entries
“LONG/SHORT” labels on signal candles
Optional alert triggers for automation
How it helps traders
✅ Cleaner entries (trend + pullback continuation + confirmation)
✅ Less chop (volatility bandwidth filter)
✅ Better trade quality (risk/reward filter)
✅ Session control (only trade when market conditions are best)
✅ Easy visual decision making (bands, EMAs, and stop/target markers on the chart)
✅ Alerts-ready for live notifications
Small note (so you don’t get surprised)
You have an input called “Show Dashboard”, but the current code does not actually create a dashboard table (no table.new section exists). Everything else works as shown.
prnt.sc
VIX Crossing# VIX Crossing Strategy
## Overview
VIX Crossing is a quantitative trading strategy that combines volatility signals from the VIX index with trend confirmation from the Nasdaq-100 (NDX) to generate long entry signals. The strategy employs multiple exit conditions to manage risk and lock in profits systematically.
## Strategy Logic
### Entry Condition
The strategy initiates a long position when:
- **VIX Crossunder**: The VIX closing price crosses below its 5-bar simple moving average (SMA), signaling a decrease in implied volatility
- **AND NDX Confirmation**: The Nasdaq-100 closes above its 21-bar exponential moving average (EMA), confirming uptrend strength
This dual-signal approach reduces false entries by requiring both volatility normalization and positive market momentum.
### Exit Conditions
The strategy automatically closes positions when any of the following conditions are met:
1. **VIX Crossover (Volatility Exit)**: VIX closes above its SMA, indicating rising volatility
2. **Time-Based Exit**: Position is force-closed after 10 bars from entry, preventing prolonged drawdowns
3. **Take-Profit Exit**: Position closes when unrealized profit exceeds $3,000 per contract
4. **Stop-Loss Exit**: Position closes when unrealized loss exceeds $1,500 per contract
Exit conditions are evaluated each bar while the position is open, with explicit logging of the exit reason for trade analysis.
## Configuration Parameters
| Parameter | Default | Purpose |
|-----------|---------|---------|
| VIX SMA Length | 5 | Smoothing period for VIX volatility baseline |
| NDX EMA Length | 21 | Smoothing period for Nasdaq-100 trend confirmation |
| Force Close After X Bars | 10 | Maximum holding period in bars |
| TP Amount per Contract | $3,000 | Profit target per contract |
| SL Amount per Contract | $1,500 | Loss limit per contract |
## Risk Management Features
- **Position Sizing**: Capital allocation based on profit/loss per contract rather than fixed units, allowing for scalable risk
- **Dual Risk Controls**: Combined time-based and price-based exits prevent extended exposure
- **Profit Asymmetry**: 2:1 profit-to-loss ratio encourages risk/reward discipline
- **Contract-Based Accounting**: Profit targets and stop losses scale with position size
## Capital Requirements
- **Initial Capital**: $50,000
- **Commission**: $3 per contract (cash-based)
- **Instrument**: Designed for index-based derivatives or equities with liquid options markets
## Technical Indicators Used
- Simple Moving Average (SMA) for VIX smoothing
- Exponential Moving Average (EMA) for NDX trend detection
- Crossover/Crossunder detection for signal generation
## Underlying Assumptions
1. VIX crossunder events represent mean-reversion opportunities in Nasdaq-heavy portfolios
2. NDX EMA confirmation filters out uncorrelated volatility spikes
3. 10-bar holding period aligns with typical mean-reversion timeframes
4. Contract-based profit targets accommodate varying leverage levels
Adaptive Support/Resistance EMA IndicatorThis indicator automatically identifies and displays the optimal Exponential Moving Average (EMA) period for the current market conditions by analyzing how well different EMAs act as support or resistance levels.
How It Works
Adaptive Period Selection:
The indicator tests 33 different EMA periods (ranging from 5 to 400, including Fibonacci numbers like 8, 13, 21, 34, 55, 89, 144, 233, 377) and scores each based on how effectively it functions as support or resistance.
Intelligent Scoring System:
Each EMA is evaluated using three key metrics:
Respect Rate - Percentage of time price stays on the correct side of the EMA (above for support, below for resistance)
Successful Bounces - Number of times price approached the EMA and reversed without breaking through
Break Severity - Penalties for failed breaks, weighted by both depth and duration of the violation
Trend-Aware Behavior:
Uptrend (price > 50 EMA): Finds the EMA that best acts as a support floor below price
Downtrend (price < 50 EMA): Finds the EMA that best acts as a resistance ceiling above price
Adaptive Features:
Dynamic Lookback: Automatically adjusts analysis period (50-200 bars) based on market volatility
Sticky Selection: Won't switch EMAs unless new choice shows significant improvement (8% threshold by default)
Update Frequency: Recalculates every 20 bars or immediately during high volatility periods
Visual Elements
EMA Display:
Green line = Support (in uptrends)
Red line = Resistance (in downtrends)
Optional glow effect for enhanced visibility
Optional fill between price and EMA
Labels:
Shows "SUP " or "RES " when the selected EMA changes
Markers appear only when there's a meaningful change
Info Table:
Displays real-time statistics:
Current EMA period
Role (Support or Resistance)
Adaptive lookback length
Number of successful bounces
Number of breaks
Break severity score (color-coded: green < 5, yellow 5-20, red > 20)
Key Advantages
No manual EMA period selection needed
Adapts to changing market conditions automatically
Considers both bounce quality and break severity
Reduces whipsaws through sticky selection logic
Provides transparency with detailed performance metrics
Settings
Performance Settings:
Min/Max Lookback: Range for adaptive analysis window
Update Frequency: How often to recalculate (higher = faster performance)
Sticky Threshold: Required improvement % to switch EMAs
Detection Settings:
Touch Threshold: How close price must get to count as a "touch"
Bounce Window: Bars to confirm a successful bounce vs break
Visual Settings:
Customizable support/resistance colors
Toggle glow and fill effects
Show/hide info table and change markers
4MAs+5VWAPs+FVG+ Fractals4MAs + 5VWAPs + FVG + Fractals
All-in-one market structure indicator combining 4 moving averages, 5 VWAP timeframes, fair value gaps, fractals, and order blocks.
🔧 Features:
· 4 MAs - SMA/EMA, customizable lengths & colors
· 5 VWAPs - Daily, Weekly, Monthly, RTH, Custom sessions
· Fractals - Market structure with breakout lines & custom colors
· FVG/Imbalances - Bullish/bearish gap detection with alerts
· Order Blocks - Dynamic institutional levels
· Smart Labels - VWAP labels with color matching
⚙️ Quick Setup:
1. Toggle groups in Master Control Panel
2. Customize colors for each component
3. Set sessions for RTH/Custom VWAP
4. Adjust fractal periods (default: 2)
📈 Trading Use:
· Identify market structure with fractals
· Find confluence at VWAP + MA levels
· Trade FVG fills and order block reactions
· Multiple timeframe analysis with 5 VWAPs
Customizable • Color-Coordinated • Performance Optimized
AHR999 Index (Renewed)AHR999 Indicator
The AHR999 Indicator is created by a Weibo user named ahr999. It assists Bitcoin investors in making investment decisions based on a timing strategy. This indicator implies the short-term returns of Bitcoin accumulation and the deviation of Bitcoin price from its expected valuation.
When the AHR999 index is < 0.45, it indicates a buying opportunity at a low price.
When the AHR999 index is between 0.45 and 1.2, it is suitable for regular investment.
When the AHR999 index is > 1.2, it suggests that the coin price is relatively high and not suitable for trading.
In the long term, Bitcoin price exhibits a positive correlation with block height. By utilizing the advantage of regular investment, users can control their short-term investment costs, keeping them mostly below the Bitcoin price.
SIV Trading LightSmartInVisions Trading Light (SIV Trading Light)
**Multi-Factor Market Regime & Trade Bias Indicator**
---
## Overview and Purpose
**SmartInVisions Trading Light (SIV Trading Light)** is a market **context and trade-bias indicator**, not a signal generator.
Its purpose is to answer one practical trading question:
> *“Given the current market conditions, is it statistically more favorable to think LONG, SHORT, or stay neutral?”*
Instead of relying on a single indicator, SIV Trading Light **combines several independent market dimensions into one coherent score**.
This allows traders to avoid over-trading in unfavorable environments and to align trades with the dominant market context.
---
## Why This Is NOT a Simple Indicator Mashup
This script does **not** simply merge popular indicators.
Each component is:
* normalized,
* weighted,
* evaluated against thresholds,
* and translated into **positive, neutral, or negative score contributions**.
Only the **combined interaction** of these components produces the final trade bias.
No single indicator can dominate the result on its own.
---
## Core Calculation Concept
At every bar, the indicator evaluates multiple independent factors.
Each factor contributes points to a **total bias score**.
The score is then classified into one of three states:
* **LONG bias**
* **NEUTRAL**
* **SHORT bias**
The indicator does **not** predict price direction.
It classifies the **current trading environment**.
---
## Components and How They Work Together
### 1. Trend Structure (Moving Averages)
**Purpose:** Identify the dominant directional structure.
* Fast MA vs Slow MA relationship
* Price position relative to the slow MA
* Optional slope confirmation
Contribution:
* Positive points in aligned uptrends
* Negative points in aligned downtrends
* Neutral in mixed or unclear structures
---
### 2. Momentum (RSI)
**Purpose:** Measure directional strength.
* RSI above upper threshold → bullish momentum
* RSI below lower threshold → bearish momentum
* Mid-range RSI → neutral
Momentum refines trend signals by confirming or weakening them.
---
### 3. Trend Quality / Choppiness (ADX)
**Purpose:** Filter out sideways or noisy markets.
* ADX above threshold → trending environment
* ADX below threshold → choppy environment
ADX does **not** define direction.
It modifies how much weight trend and momentum signals receive.
---
### 4. Volatility Risk (ATR%)
**Purpose:** Penalize structurally dangerous environments.
ATR is normalized as a percentage of price:
* Excessively high volatility → risk penalty
* Extremely low volatility → participation penalty
* Balanced volatility → neutral or positive contribution
This prevents aggressive trading in unstable regimes.
---
### 5. Market Participation (Relative Volume)
**Purpose:** Confirm whether moves are supported by volume.
* High relative volume → confirmation
* Low volume → weaker confidence
Volume acts as a confidence modifier, not as a directional signal.
---
### 6. Higher-Timeframe Market Regime (Optional)
**Purpose:** Align trades with the dominant higher-timeframe context.
On a user-defined **regime timeframe**, the script evaluates:
* trend structure
* RSI momentum
The regime filter can:
* amplify signals aligned with the higher timeframe
* suppress signals against it
This avoids trading aggressively against dominant market structure.
---
## Multi-Timeframe Design
The indicator separates two concepts:
* **Trading Timeframe**: the chart timeframe used for execution
* **Regime Timeframe**: a higher timeframe used for contextual bias
This design allows the same logic to be applied to:
* day trading
* swing trading
* longer-term investing
---
## Presets and Customization
Built-in presets are provided for:
* Day Trading (USA / Europe)
* Swing Trading (USA / Europe)
* Investing (USA / Europe)
Presets define:
* factor weights
* thresholds
* score boundaries
They do **not** define:
* timeframes
* moving average types or lengths
This keeps structural decisions under user control while simplifying parameter tuning.
A **Custom mode** allows full manual configuration.
---
## Visual Output
The indicator provides:
* two moving average overlays (fast / slow)
* an optional background color reflecting the current bias
* a compact badge summarizing mode, score, and state
* an optional breakdown table showing how each factor contributes to the score
These visuals are designed to explain **why** the current bias exists.
---
## Alerts
Alerts are based on **state changes**, not on every bar.
Alert outputs include:
* numerical state (`1 = LONG, 0 = NEUTRAL, -1 = SHORT`)
* score value
* rounded moving average values
This allows integration into discretionary or systematic workflows without alert noise.
---
## How This Indicator Should Be Used
✔ As a **trade filter**
✔ To avoid trading in unfavorable conditions
✔ To align discretionary entries with market context
---
## What This Indicator Is NOT
✘ Not a buy/sell signal
✘ Not a prediction model
✘ Not a replacement for risk management
---
## Credits and License
**Publisher:** SmartInVisions GmbH
**Concept & Design:** Reiner Ernst
**Implementation & Iterative Development:** SmartInVisions GmbH + ChatGPT (OpenAI)
**License:** Mozilla Public License 2.0 (MPL-2.0)
---
## Disclaimer
This script is provided for educational and research purposes only.
It does not constitute financial advice. Trading involves risk.
---
4 EMA BUMIDNDFX offers the BUMI method ( Biru Ungu Merah Ijo ), a market entry indicator using four EMAs: 5, 13, 21, and 34. It analyzes market trends and signals optimal buy or sell positions.
Momentum Candles Pro“See the strength behind every trend — Momentum Candles Pro turns price action into powerful visual signals.
Disclaimer:
This script is for educational purposes only. Trading involves risk, and past performance does not guarantee future results. Please test thoroughly and use at your own discretion. You are solely responsible for your trading decisions
Ripster EMA Clouds with MTFCredits & Origins:
This script is a modification of the widely popular EMA Clouds system originally created by @Ripster47. Full credit goes to him for the strategy and original concept. This version simply adds a quality-of-life feature for traders who use multi-timeframe analysis.
What is this Indicator?
The Ripster EMA Clouds system uses overlapping Exponential Moving Averages (EMAs) to visualize trends, momentum, and dynamic support/resistance zones. The "clouds" differ in color to indicate bullish or bearish trends, acting as a visual guide for keeping you on the right side of the trade.
What is New in This Version? (MTF Capability)
The standard version of this indicator calculates EMAs based on your current chart timeframe. If you switch from a 10-minute chart to a 1-minute chart, the clouds change completely.
I have added a "Fixed Timeframe" variable/input that allows you to "lock" the clouds to a specific timeframe, regardless of what chart you are viewing.
Why is this useful? This allows for true Multi-Timeframe (MTF) scalping.
Example: You can set the clouds to look at the 10-minute trend (identifying major support levels) but execute your entries on a 1-minute chart.
The clouds will remain locked to the 10-minute data, giving you the "big picture" view while you trade the micro-movements.
How to Use
Open the indicator settings.
Go to the Inputs tab.
Find the "Fixed Timeframe" option at the top.
Leave Empty (Default): The indicator behaves exactly like the original (adjusts to your chart).
Select a Timeframe (e.g., 10 Minutes): The clouds will lock to the 10-minute EMAs, even if you switch your chart to 1-minute or 5-seconds.
Note on Visuals When viewing Higher Timeframe (HTF) clouds on a Lower Timeframe (LTF) chart, the clouds will appear to have a "stepped" or "ladder-like" appearance. This is normal and accurate. It represents the single EMA value holding constant for that entire higher-timeframe period. This helps you see the true support level rather than a smoothed, repainted line.
8 EMA. 21 EMA. VWAP This trio is popular for momentum, scalping, and trend-following on 1m–15m charts (stocks, futures, indices).
1. Trend & Bias Filter
• Overall bullish when: Price > VWAP and 8 EMA > 21 EMA
• Overall bearish when: Price < VWAP and 8 EMA < 21 EMA
VWAP adds volume context — many ignore EMA signals against the VWAP side.
2. Crossover Signals (Primary Entries)
• Bullish crossover: 8 EMA crosses above 21 EMA → potential long (especially if price is already above VWAP)
• Bearish crossover: 8 EMA crosses below 21 EMA → potential short (especially if price is below VWAP)
VWAP confirmation reduces whipsaws: only take longs above VWAP, shorts below it.
3. Pullback / Retest Entries (Higher Probability)
• In an uptrend (price > VWAP, 8 > 21): Wait for dips to the 8 EMA (or sometimes 21 EMA) → buy the bounce.
• In a downtrend: Wait for rallies to the 8 EMA → short the rejection.
VWAP often acts as a magnet or pivot — price gravitating toward it can signal mean-reversion trades.
Weighted CCI Oscillator [SeerQuant]Weighted CCI Oscillator (WCCI)
The Weighted CCI Oscillator (WCCI) is an enhanced CCI-style deviation oscillator that builds on the classic Commodity Channel Index framework by introducing adaptive weighting and configurable smoothing. By dynamically scaling deviation based on a selected market “weight” (Volume, Momentum, Volatility, or Reversion Factor), WCCI helps trend strength and regime shifts stand out more clearly, while still retaining the familiar CCI-style structure and ±200 extreme zones.
⚙️ How It Works
WCCI starts by calculating a baseline (your chosen moving average type) of the selected CCI source (Typical Price / HLC3, or a custom input source). It then measures how far price deviates from that baseline, and applies an adaptive weight to that deviation based on your selected weighting method.
The weighting is normalized for stability so it remains usable across different assets and changing regimes, then clamped to prevent abnormal spikes from distorting the oscillator. The weighted deviation is normalized by a weighted mean absolute deviation term (using the standard CCI constant k), producing a CCI-like oscillator that responds differently depending on the “state” of the market.
Trend logic is defined using a neutral zone around the 0 midline: bullish when WCCI holds above (0 + Neutral Zone), bearish when it holds below (0 - Neutral Zone), and neutral while it remains inside that band. A smoothed WCCI line is also provided for cleaner confirmation.
✨ Customizable Settings
WCCI is designed to be tuned without overcomplication. You can choose the CCI source mode (Typical Price / HLC3 or Input Source), set the calculation length, and apply smoothing using your preferred moving average type (SMA, EMA, RMA, HMA, DEMA, TEMA, etc.).
The weighting method is the key differentiator:
Volume weighting emphasizes participation and activity.
Momentum weighting emphasizes impulse and directional pressure.
Volatility weighting emphasizes expansion/contraction phases.
Reversion Factor weighting responds inversely to variance, biasing toward mean-reversion conditions.
On the style side, you can select a preset colour scheme (Default/Modern/Cool/Monochrome) or enable custom bull/bear/neutral colours. Candle coloring is optional, and you can choose whether candles follow the raw WCCI or the smoothed WCCI.
🚀 Features and Benefits
WCCI provides a CCI-style oscillator that adapts to market conditions instead of treating every regime the same. The weighting engine helps meaningful moves stand out when conditions justify it, while the neutral-zone framework reduces noise and improves readability compared to relying purely on midline flips. With flexible smoothing, clean state transitions, optional candle coloring, and clear ±200 extreme markers, WCCI works well as a trend filter, confirmation layer, or regime signal alongside other systems.
📜 Disclaimer
This indicator is for educational purposes only and does not constitute financial advice. Past performance does not guarantee future results. Always consult a licensed financial advisor before making trading decisions. Use at your own risk.
Strategy #2 [Rider Algo]Strategy #2 (Indicator) — What it does
Strategy #2 is a rebound-confirmation indicator built around Trend Optimizer lines and WaveTrend confirmation .
Its main purpose is to print high-quality rebound labels when price aggressively tests an optimizer line and then confirms the bounce.
The two key labels are:
Strat #2 LT (Long-Term optimizer rebound label)
Strat #2 ST (Short-Term optimizer rebound label)
These labels are the core of the indicator.
The two Optimizer Lines
LT Optimizer Line (Long Term): stronger, more reliable line (primary mean-reversion / support-resistance reference).
ST Optimizer Line (Short Term): faster, weaker line (more aggressive, more signals, more noise).
Strat #2 LT — When the label appears (most important)
Bullish Strat #2 LT (rebound long)
The label “Strat #2 LT” prints when ALL conditions are met:
Price context: price is still considered “coming from strength” (HH context remains valid even if a LH appears, as long as the LT line has not been tested yet).
Test: price drops and touches the LT Optimizer line as support (low reaches the LT support line).
Hold: the LT line does NOT break (no confirmed close below LT support after the touch and before confirmation).
Confirmation (first time after the touch): the first confirmed candle that prints either:
Bullish M , or
Attention
...triggers the label.
Meaning: price sold off into LT support, support held, and momentum confirms the rebound.
Bearish Strat #2 LT (rebound short) — Mirror logic
Price context: remains valid from bearish strength (LL context).
Test: price rallies and touches LT Optimizer line as resistance.
Hold: LT line does NOT break (no confirmed close above resistance).
Confirmation (first time after the touch): first confirmed candle after the touch printing:
Bearish M , or
Warning
...triggers “Strat #2 LT” .
Strat #2 ST — When the label appears
“Strat #2 ST” follows the exact same logic , but using the Short-Term Optimizer line instead of LT.
More frequent signals
More sensitive
Best used with higher timeframe confluence or as an aggressive early entry / scale-in
Default visibility (clean chart by default)
Enabled by default: Strat #2 LT labels
Disabled by default: Optimizer lines, Strat #2 ST labels, and WaveTrend (M / Warning / Attention)
This keeps the focus on the only thing that matters: the Strategy #2 labels .
McGinley Dynamic + MA FilterMcGinley Dynamic + MA Filter Long/Short Gauge
Author: Simon20cent
Purpose:
Provides a fast, adaptive trend indicator using the McGinley Dynamic, with an optional moving average filter for stronger confirmation of LONG or SHORT bias. Designed to give clear visual signals without cluttering the chart.
How it Works:
McGinley Dynamic: tracks price direction adaptively.
Price above MD → bullish
Price below MD → bearish
Optional MA Filter: confirms trend using a chosen SMA or EMA.
LONG only if MD > MA
SHORT only if MD < MA
Visual Signals:
Line: McGinley Dynamic (colored by bias)
Optional MA line: blue reference
Background color: green = LONG, red = SHORT
Labels: optional “LONG” / “SHORT” above/below bars
Customization Options:
MD period
MA type (SMA/EMA) and period
Show/hide lines and labels
Enable/disable MA filter
Use Cases:
Quick trend bias detection
Entry filter for trades (aligns MD and MA)
Works on any timeframe for scalping, intraday, or swing setups
Key Advantage:
Adaptive, low-lag trend detection with optional confirmation, giving a clean and clear long/short gauge.
200 EMA strategy Manual Execution Checklist (A+ / B+ Trades)This indicator is designed to improve discretionary trading discipline by providing a manual execution checklist with weighted scoring, directly on the chart.
It does not generate buy or sell signals.
Instead, it helps traders evaluate trade quality before entry, similar to professional prop-firm execution sheets.
Each rule is manually confirmed by the trader, and the indicator calculates a setup quality score in real time.
✅ How It Works
The checklist is based on four core execution rules, each worth 25%:
200 EMA Bias Confirmed
Candle Breaks + Closes
3-Dot Connected Trendline
One Structure → One Trade
You manually tick these rules from the indicator settings after visually confirming them on the chart.
The indicator then calculates a score:
100% → A+ Setup (Ideal execution)
75% → B+ Setup (Acceptable, reduced risk)
Below 75% → Poor Setup (Trade should be avoided)
📊 On-Chart Features
📌 Compact checklist table displayed on the chart
📌 Movable table position (Top / Bottom / Center – mobile friendly)
📌 200 EMA plotted with optional higher-timeframe bias
📌 EMA Bullish / Bearish visual label
📌 Clear A+ / B+ / POOR grading
📌 Designed for fast decision-making on mobile and desktop
⚠️ Important Notes
This is not a signal indicator
No automated entries, exits, or alerts
No repainting
Manual confirmation is required for every rule
Checklist ticking is done via indicator settings (TradingView platform limitation)
This tool is best used as a pre-trade execution filter, not as a strategy or backtesting system.
🎯 Who This Indicator Is For
Discretionary traders
Price-action and structure traders
Prop-firm traders
Traders who want quality over quantity
Traders who want to reduce emotional or impulsive trades
🛠 Customization
All key elements are customizable:
EMA length
EMA timeframe
Checklist position
Manual rule confirmation
📌 Disclaimer
This indicator is for educational and execution-discipline purposes only.
It does not provide financial advice or trade recommendations.
Always manage risk according to your trading plan.
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manual-trading, ema, market-structure, execution, prop-firm
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trading-discipline
price-action
manual-trading
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market-structure
execution
trade-management
Buddys 9 Cloud9 EMA Cloud - High, Close, Low Channel
A clean and simple trend indicator that visualizes the 9-period EMA calculated separately for High, Close, and Low prices, creating a dynamic channel that adapts to price action.
How It Works:
This indicator plots three distinct 9 EMA lines:
9 EMA High (red) - Upper boundary tracking the high prices
9 EMA Close (blue) - Middle line tracking closing prices
9 EMA Low (green) - Lower boundary tracking the low prices
The space between the High and Low EMAs is filled with a subtle cloud, creating a visual channel that represents the trend's strength and direction.
Features:
Clean, easy-to-read triple EMA system
Visual cloud/channel between high and low EMAs
No clutter - just three key trend lines
Works on all timeframes
Trading Applications:
Trend Direction: When price is above the cloud, trend is bullish; below the cloud is bearish
Support/Resistance: The cloud acts as dynamic support in uptrends and resistance in downtrends
Channel Width: Wider clouds indicate volatility; narrower clouds suggest consolidation
EMA Close Position: Watch how the blue line (close) interacts with the red (high) and green (low) for momentum clues
Best Use:
Ideal for trend following and identifying key support/resistance zones. The 9-period setting makes it responsive to short-term price movements while filtering out noise.
ORB + Expected Move + Trade Bias ***THE ONE***Indicator to assist with credit spreads, iron condors, etc.
Nifty Bustar Nifty Bustar is a comprehensive trading indicator designed specifically for Nifty traders.It combines multiple powerful technical analysis tools into one intuitive interface. The indicator provides clear trend direction signals, dynamic support/resistance levels, and pattern detection to help you make informed trading decisions.
Key Features:
1. Dual Trend Confirmation System - Combines Trend Wave and Main Sync indicators for reliable trend direction
2. Smart Background Colors - Visual alert system: Green (both bullish), Red (both bearish), White (conflict)
3. Opening Range Analysis - Identifies key levels from 9:15-9:20 AM session with projection targets
4. Dynamic Trendlines - Automatically draws support/resistance lines with swing detection
5. Pattern Recognition - Detects symmetrical triangle patterns for breakout opportunities
6. Round Number Levels - Optional display of key psychological price levels (25-point intervals)
7. Custom EMA System - Add your preferred EMAs for additional confirmation
Perfect For:
· Nifty intraday traders
· Swing traders looking for clear entry/exit points
· Traders who want multiple confirmation signals
· Those who need visual trend direction at a glance
Setup Recommendations:
· Use default settings for Nifty 5-minute charts
· Combine with price action for best results
· Look for confluence between different indicators
Risk Warning:
This is a technical analysis tool.Always use proper risk management and combine with fundamental analysis. Past performance doesn't guarantee future results.
Settings Customization:
All features can be toggled on/off in settings.Adjust parameters according to your trading style and market conditions.
Dios51 - EMA Trend Arrows + EMA200 BufferDios51 - EMA Trend Arrows + EMA200 Buffer Cheat Sheet
Trend Filter: EMA200 → overall trend direction
EMAs: EMA20, EMA50 → short-term momentum
Shading:
Green → bullish alignment (EMA20 & EMA50 above EMA200)
Red → bearish alignment (EMA20 & EMA50 below EMA200)
Arrows (Ignition Entry):
Buy (Green Triangle Below Bar): price > EMA20 & EMA50, EMA20 & EMA50 > EMA200, bullish candle
Sell (Red Triangle Above Bar): price < EMA20 & EMA50, EMA20 & EMA50 < EMA200, bearish candle
Leg Rule: Only one ignition entry per trend leg; leg resets when price crosses EMA200 buffer
Tips:
Use higher timeframes for cleaner signals (1H+).
Confirm trend with shading before entering.
Combine with support/resistance, volume, or other confirmation.
Alerts: Bullish Arrow / Bearish Arrow → notifications for trend ignition.
SS_FTS_V03This indicator is built for traders who rely on multi-timeframe analysis to increase accuracy in scalping and intraday strategies.
Instead of switching between multiple charts, this tool brings essential higher timeframe context directly into one chart. It combines trend visualization, momentum analysis, and session-based tools to help traders identify high-probability setups with greater confidence.
The indicator is suitable for forex, crypto, indices, and stocks, and works best on lower timeframes such as 1m, 3m, 5m, and 15m
🔹 Features
Multi-Timeframe trend analysis on a single chart
Heiken Ashi-based trend visualization
CCI (Commodity Channel Index) integration
Session-based settings (London, New York, etc.)
Clean and non-cluttered visual design
Optimized for scalping and intraday trading
Customizable inputs for personal trading style
🔹 How to Use
Apply the indicator to a lower timeframe chart (1m–15m recommended).
Use higher timeframe trend direction as the main bias.
Look for entries aligned with the dominant trend.
Use CCI and Heiken Ashi signals for timing and confirmation.
Avoid counter-trend trades during strong momentum phases.
Tip: Best results are achieved when combined with proper risk management and market structure awareness.
🔹 Best Use Cases
Scalping
Intraday trading
Trend-following strategies
Multi-timeframe confluence trading
🔹 Disclaimer
This indicator is a technical analysis tool and does not provide financial advice. Always use proper risk management. Past performance does not guarantee future results.
Force of Multi Strategy Bot: Backtest Webhook Alert Adaptive MTFForce of Multi Strategy - Innovative solution designed for crypto trading 📈
Overview:
Intraday algo trading bot with 29 strategies, up to 10 symbols, and multi-timeframe filters. Sends pre-configured Webhook Alerts (TTA format) to major crypto exchanges. Includes a live strategy Switcher that selects the best-performing strategy based on real-time backtest data
Key Features:
29 non-repaint strategies on up to 10 symbols
Buy/Sell signals based on TV Technical Rating, classic and adaptive indicators
Higher Timeframe filters (ADX, Volatility, Volume, ATR) with multipliers from chart TF
Advanced risk management and backtest metrics
Automated "Switcher” to pick the best-performing strategies from backtest data in real time
Webhook alerts in TTA format (tradingview to anywhere) pre-configured to major Crypto Exchanges: Binance, Bitget, BingX, Bybit, GateIO, KuCoin and OKX
Main Inputs:
"All Strategies" on/off - two base mode options, trading all strategies on chart symbol or one strategy for 10 symbols
HTF Mult 1/2 - multipliers for 2 higher timeframes filters
InitCap/Trade$/Leverage - position size of one trade and initial capital
Min ROI/WR/PF/SRP/MAR/Trades - minimal cutoff for key strategy performance metrics. When "All Strategies" is "on" switcher will open trades for strategies which occur this criteria
"Check Last" on/off - check performance metrics for a specified number of recent trades.
If the option is disabled, metrics are checked for the entire duration of the backtest
BacktestDays/MaxBars - set how long the script will perform backtests in days, with a limitation on the number of bars for acceptable calculation speed
How it works:
Just one trade can be opened at time for one symbol, strategies or symbols are calculates using their own setting initial capital
When "All strategies" is "off" - script executes trades, records backtest and send alerts from one selected strategy for each symbol This mode useful when you calibrate risk management options on different symbols, or if you find that one of 29 strategies is profitable on many symbols and want trade with many of them simultaneously. This opens up the possibility of mass diversification, for example, launching trading on 200 symbols with just 20 notifications
When "All strategies" is "on" - script executes trades and records backtest results continuously from all strategies for chart symbol In this mode, strategy switcher executes trades and send alerts only from strategies that meet your pre-defined performance criteria, based on backtest results of all strategies. This opens up opportunities, allowing you to not only test the performance of one or many strategies, but also test the logic behind switching them. What could become a new key way for adapt to changing markets
Interface:
Labels: on chart show open long/short and result in USD for closed trades, when "All strategies" is active - labels at bottom of indicator window show which exactly number of strategy opens a deal. The "No" label means that none of the strategies that meet the performance criteria have opened a trade at this time
Lines: indicator window contained equity line (aqua) and HTF Technical rating area, chart contain SL/TP (red/green) and open price (blue) lines for opened trades
Table 1 (all strategies or all symbols):
- TR: count of closed trading deals; WR: Winning Rate; PF: Profit Factor
- MDD: Max Draw Down for all calculated time from initial capital
- R$: trading Profit Result in USD
First row shows some of script settings, in published example: initial capital 100$, leverage 50L, 20 backtest days, 10$ is invest in one deal, 15m is chart timeframe, 60m is higher timeframe 1 and 120m is higher timeframe 2.
The exchange name in the second row determines the alert messages format
If strategy meet cutoff criteria you will see "Ok" label, if strategy meet criteria and have maximum from other reached ROI they labeled "Best". Chart strategy labeled "Chart", Chart and Ok labels in one time is "Chart+", "Chart" and "Best" is labeled "Best+"
Green or red color of strategy number/symbol means a long or short trade is currently active
Table 2 (chart symbol):
- PT: Result in USD Per one Trade; PW: Result Per Win, PL: Result Per Lose
- ROI: Return On Investment; SR: Sharpe Ratio, MR: CalMAR ration
- Tx: Commission Fee in $; R$: trading Profit Result in USD
There separate trade results of backtesting for longs and shorts. In first column you see how many USD were invested in one trade, taking into account possible position splitting
Update frequency: closed trades information updated every bar, but check "ok"/"best" labels in table 1 would be when chart have not open trade. Its need for calculation speed purpose
Risk management options:
When a buy or sell trade is opened, you'll see three lines on the chart: a red stop-loss line ( SL ), a green take-profit line ( TP ), and a blue line representing the entry price . The trade will be closed if the high price or low price reaches the line TP or SL (no wait for bar close) and alert will be triggered once per bar when script recalculates
Several options are available to control the behaviour of SL/TP lines, such as stop-loss by percent, ATR, Highest High (HH) and Lowest Low (LL) . Take Profit can be in percent, ATR, Risk Reward ratio . There some Trailing Stop with start trail trigger options - ATR, % or HH/LL
Additionally, implemented a function for adding a position when the breakeven level expressed in the current ROI is reached for opened trade (splitting). The position is added within the bar
Webhook alerts in TTA format with message contained next info : Buy / Sell or adding Quantity, Leverage, SL price, TP price and close trade Result in USD
(for easy forward tests and check difference between actual trade result and alerts logs)
Backtest Engine:
Profit or Loss is USD = close trade price * open trade quantity - open trade price * open trade quantity - open trade quantity * (open trade price + close trade price)/2 * commission
Possible slippage or alert sending delay needed to be include in commission % which you will set in risk management settings block, default settings is 0.15% (0,06% for open, 0,06% for close and 0,03% for possible slippage or additional fees)
Maximum Draw Down Drawdown = (peak - current equity) / peak * 100 ;
Drawdown > maxDrawdown ? maxDrawdown = Drawdown
ROI = profit result in USD / sum of all positions margin
CalMAR Ratio = ROI / (-MaxDrawDown)
Sharpe Ratio = ROI / standard deviation for (Sum of all results) / (Sum of all Position Margins)
Strategies:
You can enable or disable various Higher Timeframes Filters (ADX, volatility, technical rating). When filters enabled, trades will only open when the setting are reached for one of 2
Number 1, 2 and 3: is Higher Timeframe TradingView Technical Ratings, 1 is summary total rating, 2 is oscillators and 3 is moving averages. When TR filter cross filter levels trade will be open at chart bar close. By Default on chart you see Summary Technical Rating oscillator, but here the options for change it to Oscillator TR or Moving Average TR
Number 4, 5 and 6: is Chart TimeFrame TR. Trades will open when its values (Summary, Oscillators and Moving Averages) reached setting buy sell level
Number 7, 8 and 9: is Alternative buy sell logic for Chart TimeFrame TR, trades will open when counting rising or falling setting values will be reached
Number from 10 to 18: is chosen by user adaptive moving averages and oscillators indicators. In settings you will see many different adaptive length algorithms for trading and different types of moving averages and oscillators (more than 30 variations). All adaptive strategies have their options for calibrating and plotting. Default adaptive length algorithm is unique, developed by author and based on ADX: shorten the length of ma/osc when market detected as trending. Trades are opened when the user-defined buy/sell levels are crossed
Number from 19 to 29: its can't be calibrated for avoid overfitting, i try to found mostly time worked strategies and use its with standard settings. In future it's possible to changing current or adding additional strategies. At the time of publication this script uses :
- Dynamic Swing HH LL ( 19 ): trades opens when trend swing is determined by comparing the timing of the latest high vs. low within a 50-bar window;
- Composite indicator ( 20 ): 0.25 * smaNormalized + 0.15 * rsiNormalized + 0.25 * macdNormalized + 0.35 * rocNormalized, buy/sell when 0,8/-0,8 level is crossed;
-%R Exhausting with different signals ( 21,22 ): buy/sell when long term Williams %R (112) and short %R (21) cross centre line (-50) or -20/-80 levels;
- Pivot Point SuperTrend ( 23 ): ident 5 bars pivot point centreline with 3,5 ATR bands, buy/sell signal when trend direction is changed as usual supertrend (price crossing bands)
- Ichimoku Cloud ( 24 ): buy/sell when tenkan crossing kijun with trend confirmation (tenkan > or < then 25 bars back senkou A and B)
- TSI ( 25 ): trades opens when true strength index (26) crossing -0,5/0,5 levels
- Band Level RSI ( 26 ): ident bands based on wma(100) and close stdev(100), buy/sell signals when fast RSI(5) cross 25/75 with price out of bands
- RSI/MacD ( 27, 28 ): trades opens when macd crossing signal line if RSI was out of 37/69 level in last 5 bars, and open trades when signal line crossed zero macd level
-5 Bars UpDown( 29 ): trades opens when last 5 bars ups or downs.
For clarity , classic strategies are not plotted in this script
Why this mashup? No one single trading strategy can't works consistently in all conditions. Diverse of very different trend follow and reversal strategies needed to identify the best-performing ones at any given time
Originality and Value:
Diverse Strategy Suite: The indicator includes many strategies, each employing a different technical analysis techniques. This breadth of strategies allows the script to adapt and perform well across a wide range of market conditions
Adaptive Algorithms: Many of the strategies within the indicator utilize proprietary, adaptive algorithms that dynamically adjust the parameters of indicators and oscillators based on real-time market conditions, such as volatility and trend strength. This helps the strategies remain responsive even as market shifts
Advanced Risk Management: incorporates different sophisticated risk controls, including dynamic stop-loss and take-profit levels, position sizing. These help to preserve capital and optimize the risk-reward profile of the trading
Comprehensive Backtest Engine: provides detailed performance analysis, including P&L, ROI, Sharpe ratio, and maximum drawdown. This allows for comparison and identification the best of available strategies
Automated Strategy Switching: The author-developed “Switcher” unique feature allows traders to pick on the best-performing strategy in real-time, improving their chances of success
This combination, along with the developer’s extensive research and testing, sets the “Force of Multi Strategy” apart from many other trading solutions available on the market. Strategy switcher combines backtest with adaptive indicators to dynamically select top performers, enhancing adaptability in volatile markets—unlike standard strategies that rely on fixed rules. By providing adaptive, and risk-managed approach, the "FoMS" aims to potentially generate significant returns
Usage Example:
4 scripts was added to chart with different filters settings (No Filters, ADX, ATR, TV.TR)
All instances have same settings - Symbol:PEPE on BingX; Chart TF:15m, HTF Mult 1/2: 4/8; InitCap:100$;One trade: 10$/50Leverage; Strategies switches with same logic - choose strategy which for last 4 trades reached minimal ROI 0.4, with WR >=50%. As you can see results are different, best ROI received with ATR filters (No trade if ATR 5 / ATR 20 < 1.2)
Choose liked option and create New Alert with Webhook address given from TTA, that's all - and next signal from strategy who reach setting ROI and WR from last 4 trades with HTF filters will be opened by script and alert will be sends to Webhook address for opens position on exchange
Keep in mind , script open a market orders and alerts have slight delay, some negative or positive difference (usually 3-10%, L50) in close trade result between alert and actual trade results is possible, alert message example: Close 1000PEPEUSDT C=LINEAR +2.27$ Buy 1000PEPEUSDT Q=13276.2944 SL=0.006545 TP=0.010168 L=50 D=2 C=LINEAR St:21
Might be important, this script generates alerts for market orders that are then executed on pre-configured crypto exchanges via the TTA service, along with native SL/TP orders
Finally:
Usage example backtests demonstrate that Force of Multi Strategy could generate returns. In my testing across various configurations, I observed profitable backtest results for approximately 20-25% of crypto assets when using the strategy switcher
Currently there no universal instruction a "how to" be profitable in all markets and in any time. However, i continue research and will share some tips in the future. First one i found through many tests: last 4 trades say more about next one number 5, than 10 about 11
Invite-only access protects the script’s proprietary research and unique multi-strategy framework, not found in public scripts, ensuring users to have tailored tools without risk of imitation. To get access please see the Author's instructions!
Happy trading, and stay tuned for updates!
DISCLAIMER: No sharing, copying, reselling, modifying, or any other forms of use are authorized for this script, and the information published with them. This script is strictly for individual use. No one know future and Investments are always made at your own risk. I am not responsible for any losses you may incur. Before investment make sure that your logic is enough profitable on demo account
Blockcircle MMS - Multi-Timeframe Momentum ScorecardOVERVIEW
Most momentum indicators tell you where price has been. The MMS tells you where momentum stands across multiple timeframes right now, how reliable historical signals have been on your specific chart, and what the statistical probabilities suggest for your next decision.
The Blockcircle Multi-Timeframe Momentum Scorecard is a comprehensive momentum analysis system built around three core innovations that work together as an integrated decision framework.
WHAT MAKES IT ORIGINAL AND DIFFERENT
T3-Smoothed CCI Transformation: Standard CCI is notoriously choppy and generates excessive false signals. The T3 transformation applies a cascade of exponential moving averages with adjustable smoothing coefficients (default 0.618) to dramatically reduce noise while preserving responsiveness to genuine momentum shifts. This produces a cleaner oscillator that filters out minor fluctuations triggering premature entries on raw CCI readings.
Automatic Timeframe Hierarchy Construction: Rather than manually configuring higher timeframes and hoping they align properly, the auto-calculation engine selects five higher timeframes that maintain appropriate separation based on your current chart. On a 15-minute chart, it monitors 30m, 1H, 2H, 4H, and 8H simultaneously. On a daily chart, it shifts to 3D, Weekly, 2-Week, Monthly, and Quarterly. This adaptive architecture ensures multi-timeframe analysis remains meaningful regardless of trading horizon.
Chart-Specific Statistical Probability Engine: The indicator tracks your specific chart's historical behavior around key momentum zones. It calculates the actual win rate of zero-line crosses going back through your visible data, the probability of price rejecting versus breaking through the zero line based on past approaches, and the average number of bars spent in extreme zones before reversals occur. These metrics are computed from the chart in front of you, not theoretical assumptions.
Volatility-Adaptive Extreme Zone Bands: Fixed overbought and oversold thresholds fail when market conditions shift. The MMS calculates a rolling standard deviation of smoothed momentum values and positions extreme zone boundaries at a configurable multiple of that deviation from the mean. Bands expand automatically during high volatility and contract during consolidation.
Multi-Indicator Divergence Confirmation: Single-indicator divergences fail too often to be actionable. The divergence detection system requires confirmation from at least two indicators (Momentum, RSI, MACD, MFI, CMF) before flagging a potential reversal.
Weighted Multi-Timeframe Confluence Scoring: Higher timeframes receive progressively greater weight because momentum conditions on larger timeframes tend to persist longer and exert stronger influence on price direction. Current timeframe receives weight 1.0, HTF1 receives 1.5, HTF2 receives 2.0, up to HTF5 at 3.5. The resulting confluence percentage indicates whether timeframes are aligned, conflicted, or mixed.
THE UNDERLYING METHODOLOGY
The T3 smoothing algorithm applies six cascaded exponential moving averages with coefficients derived from the smoothing factor B. The mathematical construction uses polynomial coefficients c1 through c4 calculated from B to weight the final combination of smoothed values. This approach preserves trend information while eliminating the lag and noise issues inherent in standard smoothing methods.
The weighted confluence score forms the backbone of multi-timeframe analysis. Each enabled timeframe contributes a directional bias (+1 bullish, -1 bearish, 0 neutral) multiplied by its assigned weight. The sum is normalized against total possible weight to produce a percentage ranging from -100 to +100.
The Summary Score aggregates four components: confluence contribution (0-30 points), trend strength based on timeframe alignment (0-25 points), momentum health assessing acceleration versus deceleration (0-25 points), and zone status evaluating current position relative to extreme and neutral zones (0-20 points).
Win rate tracking monitors zero-line crosses and evaluates outcomes 10 bars later. If price moved in the expected direction following an upward cross, that cross is counted as a win. The accumulated statistics provide instrument-specific and timeframe-specific reliability metrics.
DASHBOARD INTERPRETATION
The scorecard table uses a traffic light system for rapid assessment:
Green: Favorable or bullish conditions
Yellow: Neutral states or caution warranted
Red: Unfavorable or bearish conditions
MOMENTUM TIMEFRAME SECTION
Displays current value, directional trend arrow, zone status (Bullish/Bearish/Neutral/Overbought/Oversold), and signal indicator for each enabled timeframe
STATISTICS SECTION
MTF Confluence: Weighted percentage indicating overall timeframe agreement
TF Alignment: Count of bullish versus bearish timeframes
Percentile Rank: Current momentum position relative to historical distribution
ZERO LINE ANALYSIS SECTION
Cross Up/Down Win Rate: Historical success rate of directional crosses
Reject from Below/Above: Probability of zero-line rejection based on past approaches
EXTREME ZONES SECTION
Current Zone: Position relative to volatility bands and zero zone
Avg Bars to Reversal: Historical duration of extreme zone conditions before mean reversion
Volatility Band Levels: Current dynamic threshold values
DIVERGENCE SIGNALS SECTION
Bullish/Bearish Divergence: Shows confirmation count and status when multiple indicators agree
PROBABILITY SECTION
Bullish/Bearish Probability: Composite assessment incorporating momentum direction, confluence, dynamics, divergences, extreme zone status, and percentile rank
PRACTICAL APPLICATIONS
Trend Continuation Entries: Look for confluence scores above 60% with multiple timeframes aligned. The Summary Score provides a quick filter before analyzing individual timeframes.
Mean Reversion Setups: Monitor extreme zone statistics. When momentum enters an extreme zone, the average bars to reversal metric indicates how long similar conditions have historically persisted. Combine with divergence signals for higher-probability reversal identification.
Signal Reliability Assessment: Zero-line win rate statistics help evaluate whether crosses on your particular instrument and timeframe have historically followed through. A 70% win rate carries different implications than 45%.
Multi-Timeframe Confirmation: Use the TF Alignment count to confirm that higher timeframes support your intended trade direction before entry.
CONFIGURABLE PARAMETERS
Momentum Core: CCI Period (14), T3 Period (5), Smoothing Factor (0.618)
Volatility Bands: Lookback Period (100), Standard Deviation Multiplier (2.0), Fixed Thresholds when disabled
Zero Zone: Width adjustment for instrument-specific ranges
Statistics: Lookback period for probability calculations, Divergence pivot lookback
Timeframes: Auto-calculate toggle with manual override options for HTF1-5
Divergence Indicators: Enable/disable RSI, MACD, MFI, CMF with individual parameter controls
Display: Table position, text size, compact mode, signal markers, divergence markers, all plot colors
BUILT-IN ALERTS
Zero Line Cross Up/Down
Entered Extreme High/Low Zone
Bullish/Bearish Divergence Confirmed
Strong Bullish/Bearish Confluence (>80%)
Strong Trend Signal (Summary Score ≥80)
IMPORTANT CONSIDERATIONS
This indicator analyzes momentum conditions and historical patterns. It does not predict future price movements and cannot guarantee trading outcomes.
Statistical metrics are derived from historical data visible on your chart and reflect past behavior only. Market conditions change, and past signal reliability does not ensure future reliability.
Multi-timeframe analysis provides context for decision-making, but trade management, position sizing, and risk control remain your responsibility.
The indicator works on standard chart types only. Non-standard charts such as Heikin Ashi, Renko, Kagi, Point & Figure, and Range produce distorted momentum readings and unreliable statistics.
