Smart RSI Divergence PRO | Auto Lines + Alerts📌 Purpose
This indicator automatically detects Regular and Hidden RSI Divergences between price action and the RSI oscillator.
It plots divergence lines directly on the chart, labels signals, and includes alerts for automated monitoring.
🧠 How It Works
1. RSI Calculation
RSI is calculated using the selected Source (default: Close) and RSI Length (default: 14).
2. Divergence Detection via Fractals
Swing points on both price and RSI are detected using fractal logic (5-bar patterns).
Regular Divergence:
Bearish: Price forms a higher high, RSI forms a lower high.
Bullish: Price forms a lower low, RSI forms a higher low.
Hidden Divergence:
Bearish: Price forms a lower high, RSI forms a higher high.
Bullish: Price forms a higher low, RSI forms a lower low.
3. Auto Drawing Lines
Lines are drawn automatically between divergence points:
Red = Regular Bearish
Green = Regular Bullish
Orange = Hidden Bearish
Blue = Hidden Bullish
Line width and transparency are adjustable.
4. Labels and Alerts
Labels mark divergence points with up/down arrows.
Alerts trigger for each divergence type.
📈 How to Use
Use Regular Divergences to anticipate trend reversals.
Use Hidden Divergences to confirm trend continuation.
Combine with support/resistance, trendlines, or volume for higher probability setups.
Recommended Timeframes: Works on all timeframes; more reliable on 1h, 4h, and Daily.
Markets: Forex, Crypto, Stocks.
⚙️ Inputs
Source (Close, HL2, etc.)
RSI Length
Toggle Regular / Hidden Divergence visibility
Toggle Lines / Labels
Line Width & Line Transparency
⚠️ Disclaimer
This script is for educational purposes only. It does not constitute financial advice.
Always test thoroughly before using in live trading.
Analisi trend
Buy Sell Magic Rework📌 Purpose
This script is a reworked version of the Parabolic SAR strategy, with an optional ZigZag filter to confirm reversal points.
It helps traders identify potential trend reversals with reduced noise compared to the standard SAR.
🧠 How It Works
1. Parabolic SAR Flip Signals
Buy Signal: Triggered when SAR flips from above price to below price.
Sell Signal: Triggered when SAR flips from below price to above price.
(Default SAR parameters: Start = 0.02, Increment = 0.02, Max = 0.2)
2. ZigZag Filter (Optional)
When Use ZigZag Filter = true:
The script confirms reversals only at significant pivots (swing highs/lows) detected by the ZigZag algorithm over the selected ZigZag Period (default = 14 bars).
Buy Signal: Appears only when a new pivot low is detected.
Sell Signal: Appears only when a new pivot high is detected.
3. Trade-Off
Without ZigZag: More signals, more noise.
With ZigZag: Fewer signals, but stronger confirmation and reduced false entries.
📈 How to Use
Signals appear as green arrows for buy and red arrows for sell.
Works well for:
Trend reversal detection.
Swing trading confirmation.
Filtering entries for other systems.
Recommended Timeframes: 15m, 1h, 4h.
Markets: Forex, Crypto, Stocks.
⚙️ Inputs
ZigZag Period (bars for pivot detection)
SAR Start / Increment / Max (SAR parameters)
Use ZigZag Filter (toggle for confirmation)
⚠️ Disclaimer
This script is for educational purposes only. It does not constitute financial advice.
Always test thoroughly before live trading.
Smart Money Breakout Channels [AlgoAlpha]🟠 OVERVIEW
This script draws breakout detection zones called “Smart Money Breakout Channels” based on volatility-normalized price movement and visualizes them as dynamic boxes with volume overlays. It identifies temporary accumulation or distribution ranges using a custom normalized volatility metric and tracks when price breaks out of those zones—either upward or downward. Each channel represents a structured range where smart money may be active, helping traders anticipate key breakouts with added context from volume delta, up/down volume, and a visual gradient gauge for momentum bias.
🟠 CONCEPTS
The script calculates normalized price volatility by measuring the standard deviation of price mapped to a scale using the highest and lowest prices over a set lookback period. When normalized volatility reaches a local low and flips upward, a boxed channel is drawn between the highest and lowest prices in that zone. These boxes persist until price breaks out, either with a strong candle close (configurable) or by touching the boundary. Volume analysis enhances interpretation by rendering delta bars inside the box, showing volume distribution during the channel. Additionally, a real-time visual “gauge” shows where volume delta sits within the channel range, helping users spot pressure imbalances.
🟠 FEATURES
Automatic detection and drawing of breakout channels based on volatility-normalized price pivots.
Optional nested channels to allow multiple simultaneous zones or a clean single-zone view.
Gradient-filled volume gauge with dynamic pointer to show current delta pressure within the box.
Three volume visualization modes: raw volume, comparative up/down volume, and delta.
Alerts for new channel creation and confirmed bullish or bearish breakouts.
🟠 USAGE
Apply the indicator to any chart. Wait for a new breakout box to form—this occurs when volatility behavior shifts and a stable range emerges. Once a box appears, monitor price relative to its boundaries. A breakout above suggests bullish continuation, below suggests bearish continuation; signals are stronger when “Strong Closes Only” is enabled.
Watch the internal volume candles to understand where buy/sell pressure is concentrated during the box. Use the gauge on the right to interpret whether net pressure is building upward or downward before breakout to anticipate the direction.
Use alerts to catch breakout events without needing to monitor the chart constantly 🚨.
多维度市场分析指标 v2 (区间框选)使用大周期MACD的能量柱作为背景用于识别趋势并且搭配上伦敦和纽约交易session
we are using a high time frame macd momentum as chart background to analysis a trend and using london and newyork session to help you trade better
Price Exhaustion Envelope [BackQuant]Price Exhaustion Envelope
Visual preview of the bands:
What it is
The Price Exhaustion Envelope (PEE) is a multi‑factor overextension detector wrapped inside a dynamic envelope framework. It measures how “tired” a move is by blending price stretch, volume surges, momentum and acceleration, plus optional RSI divergence. The result is a composite exhaustion score that drives both on‑chart signals and the adaptive width of three optional envelope bands around a smoothed baseline. When the score spikes above or below your chosen threshold, the script can flag exhaustion, paint candles, tint the background and fire alerts.
How it works under the hood
Exhaustion score
Price component: distance of close from its mean in standard deviation units.
Volume component: normalized volume pressure that highlights unusual participation.
Momentum component: rate of change and acceleration of price, scaled by their own volatility.
RSI divergence (optional): bullish and bearish divergences gently push the score lower or higher.
Mode control: choose Price, Volume, Momentum or Composite. Composite averages the main pieces for a balanced view.
Energy scale (0 to 100)
The composite score is pushed through a logistic transform to create an “energy” value. High energy (above 70 to 80) signals a move that may be running hot, while very low energy (below 20 to 30) points to exhaustion on the downside.
Envelope engine
Baseline: EMA of price over the main lookback length.
Width: base width is standard deviation times a multiplier.
Type selector:
• Static keeps the width fixed.
• Dynamic expands width in proportion to the absolute exhaustion score.
• Adaptive links width to the energy reading so bands breathe with market “heat.”
Smoothing: a short EMA on the width reduces jitter and keeps bands pleasant to trade around.
Band architecture
You can toggle up to three symmetric bands on each side of the baseline. They default to 1.0, 1.6 and 2.2 multiples of the smoothed width. Soft transparent fills create a layered thermograph of extension. The outermost band often maps to true blow‑off extremes.
On‑chart elements
Baseline line that flips color in real time depending on where price sits.
Up to three upper and lower bands with progressive opacity.
Triangle markers at fresh exhaustion triggers.
Tiny warning glyphs at extreme upper or lower breaches.
Optional bar coloring to visually tag exhausted candles.
Background halo when energy > 80 or < 20 for instant context.
A compact info table showing State, Score, Energy, Momentum score and where price sits inside the envelope (percent).
How to use it in trading
Mean reversion plays
When price pierces the outer band and an exhaustion marker prints, look for reversal candles or lower‑timeframe confirmation to fade the move back toward the baseline.
For conservative entries, wait for the composite score to roll back under the threshold or for energy to drop from extreme to neutral.
Set stops just beyond the extreme levels (use extreme_upper and extreme_lower as natural invalidation points). Targets can be the baseline or the opposite inner band.
Trend continuation with smart pullbacks
In strong trends, the first tag of Band 1 or Band 2 against the dominant direction often offers low‑risk continuation entries. Use energy readings: if energy is low on a pullback during an uptrend, a bounce is more likely.
Combine with RSI divergence: hidden bullish divergence near a lower band in an uptrend can be a powerful confirmation.
Breakout filtering
A breakout that occurs while the composite score is still moderate (not exhausted) has a higher chance of follow‑through. Skip signals when energy is already above 80 and price is punching the outer band, as the move may be late.
Watch env_position (Envelope %) in the table. Breakouts near 40 to 60 percent of the envelope are “healthy,” while those at 95 percent are stretched.
Scaling out and risk control
Use exhaustion alerts to trim positions into strength or weakness.
Trail stops just outside Band 2 or Band 3 to stay in trends while letting the envelope expand in volatile phases.
Multi‑timeframe confluence
Run the script on a higher timeframe to locate exhaustion context, then drill down to a lower timeframe for entries.
Opposite signals across timeframes (daily exhaustion vs. 5‑minute breakout) warn you to reduce size or tighten management.
Key inputs to experiment with
Lookback Period: larger values smooth the score and envelope, ideal for swing trading. Shorter values make it reactive for scalps.
Exhaustion Threshold: raise above 2.0 in choppy assets to cut noise, drop to 1.5 for smooth FX pairs.
Envelope Type: Dynamic is great for crypto spikes, Adaptive shines in stocks where volume and volatility wave together.
RSI Divergence: turn off if you prefer a pure price/volume model or if divergence floods the score in your asset.
Alert set included
Fresh upper exhaustion
Fresh lower exhaustion
Extreme upper breach
Extreme lower breach
RSI bearish divergence
RSI bullish divergence
Hook these to TradingView notifications so you get pinged the moment a move hits exhaustion.
Best practices
Always pair exhaustion signals with structure. Support and resistance, liquidity pools and session opens matter.
Avoid blindly shorting every upper signal in a roaring bull market. Let the envelope type help you filter.
Use the table to sanity‑check: a very high score but mid‑range env_position means the band may still be wide enough to absorb more movement.
Backtest threshold combinations on your instrument. Different tickers carry different volatility fingerprints.
Final note
Price Exhaustion Envelope is a flexible framework, not a turnkey system. It excels as a context layer that tells you when the crowd is pressing too hard or when a move still has fuel. Combine it with sound execution tactics, risk limits and market awareness. Trade safe and let the envelope breathe with the market.
J-Lines Ribbon • 4-Cycle Engine (CHOP / ANTI / LONG / SHORT)📈 J-Lines Ribbon • 4-Cycle Engine (CHOP / ANTI / LONG / SHORT)
Version: Pine Script v6
Author: Thomas Lee
Category: Trend-Following / Mean Reversion / Scalping
Timeframes: Optimized for 1–5m (but adaptable) Seems to work best on Fibb Time
🧠 Strategy Overview:
The J-Lines Ribbon 4-Cycle Engine is a precision trading algorithm designed to navigate complex market microstructure across four adaptive states:
🔁 CHOP (No Trade / Flatten)
🟡 ANTI (Legacy Layer / Under Development)
🟢 LONG (Trend-Continuation & Rebounds)
🔴 SHORT (Inverse Trend-Continuation & Rebounds)
It combines a multi-layer EMA ribbon, ADX-based CHOP detection, and smart pivot analysis to dynamically shift between market modes, entering and exiting trades with surgical precision.
🔍 Core Features:
Dynamic Market Cycle Detection
Auto-classifies each bar into one of the 4 market states using ADX + EMA 72/89 crossovers.
One-Shot Entries & Rebound Logic
Initiates base entries at the start of new trend cycles. Re-entries (ReLong/ReShort) trigger on EMA 72 and EMA 126 pullbacks with momentum resumption.
CHOP State Autopilot
Automatically closes open positions when CHOP begins, preventing sideways market exposure.
Precision Take-Profits & Pivots-Based Stop Losses
Real-time adaptive exits using pivot high/low swing points as dynamic SL/TP anchors.
Customizable Parameters
Pivot length (left/right)
ADX thresholds
Rebound tolerance bands
Ribbon display and state-labels
📊 Indicator Components:
📏 EMA Ribbon: 72, 89, 126, 267, 360, 445
📉 ADX Filter: Filters out sideways noise, confirms directional bias
🔁 Crossover Events: Detects trend initiations
🌀 Cycle Labels: Real-time visual display of current market state
🛠️ Ideal Use Cases:
Scalping volatile markets
Automated strategy testing & optimization
Entry/exit signal confirmation for discretionary traders
Trend filtering in algorithmic stacks
⚠️ Notes:
ANTI cycle logic is scaffolded but not fully deployed in this version. It will be extended in a future release for deep mean-reversion detection.
Tailor ADX floor and pivot sensitivity to your specific asset and timeframe for optimal performance.
Supertrend & MACD with 60 EMA Signalsthis is a great way to understand market without getting biased ...excellent for intraday entry
Enhanced Predator Suite🎯 Simple Predator Suite Guide - What You See on Your Chart
📍 What to Look For RIGHT NOW on Your BTC Chart
1. BAR COLORS (Most Important)
Look at the color of each price bar:
🟢 BRIGHT GREEN = BUY SIGNAL (Bull Strong)
🟢 LIGHT GREEN = Weak buy (be careful)
🟠 ORANGE = Weak sell (take profits)
🔴 RED = SELL SIGNAL (Bear Strong)
⚫ GRAY = DON'T TRADE (choppy market)
2. TRIANGLE SIGNALS
These are your entry points:
▲ GREEN TRIANGLE UP = Enter LONG (buy) on next bar
▼ RED TRIANGLE DOWN = Enter SHORT (sell) on next bar
3. TRAILING STOP LINES
🟢 GREEN LINE = Exit your long trades if price hits this
🔴 RED LINE = Exit your short trades if price hits this
🚀 SUPER SIMPLE TRADING METHOD
FOR LONG TRADES (BUYING)
Wait for a green triangle ▲ to appear
Buy on the next candle
Set stop loss below the green line
Take profit when bars turn orange or red
FOR SHORT TRADES (SELLING)
Wait for a red triangle ▼ to appear
Sell on the next candle
Set stop loss above the red line
Take profit when bars turn light green or bright green
WHEN TO STAY OUT
Gray bars = Market is confused, don't trade
No triangles = No clear entry signal
Price far from lines = You missed the move
🚫 COMMON MISTAKES TO AVOID
DON'T Do These Things:
❌ Trade during gray bars (choppy market)
❌ Enter without seeing a triangle signal
❌ Ignore the trailing stop lines
❌ Trade with big position sizes at first
❌ Chase price if you missed the triangle
DO These Instead:
✅ Wait patiently for clear triangle signals
✅ Always use the stop loss lines
✅ Start with tiny position sizes
✅ Take profits when bar colors change
✅ Stay out during gray bar periods
New Rsi For Entry FiltrationThis indicator, which is based on the RSI indicator, is written to prevent you from entering the wrong trade. Its operation is very simple. Enter a long trade when both the main area and the lower ribbon are green. Also, for a short trade, both the main area and the lower ribbon are red. The purple line also shows the stop loss level based on ATR. It is not advisable to enter the trade at the points indicated by R because the candlestick length is long.
100-Candle Look-Back MarkerIt simply redraws one vertical dotted line that always sits exactly 100 bars behind the current bar, so you can check at a glance that any trend-line you draw has at least 100 candles of data to the right of it.
Hawkes Volatility Exit IndicatorOverview
The Hawkes Volatility Exit Indicator is a powerful tool designed to help traders capitalize on volatility breakouts and exit positions when momentum fades. Built on the Hawkes process, it models volatility clustering to identify optimal entry points after quiet periods and exit signals during volatility cooling. Designed to be helpful for swing traders and trend followers across markets like stocks, forex, and crypto.
Key Features Volatility-Based Entries: Detects breakouts when volatility spikes above the 95th percentile (adjustable) after quiet periods (below 5th percentile).
This indicator is probably better on exits than entries.
Smart Exit Signals: Triggers exits when volatility drops below a customizable threshold (default: 30th percentile) after a minimum hold period.
Hawkes Process: Uses a decay-based model (kappa) to capture volatility clustering, making it responsive to market dynamics.
Visual Clarity: Includes a volatility line, exit threshold, percentile bands, and intuitive markers (triangles for entries, X for exits).
Status Table: Displays real-time data on position (LONG/SHORT/FLAT), volatility regime (HIGH/LOW/NORMAL), bars held, and exit readiness.
Customizable Alerts: Set alerts for breakouts and exits to stay on top of trading opportunities.
How It Works Quiet Periods: Identifies low volatility (below 5th percentile) that often precede significant moves.
Breakout Entries: Signals bullish (triangle up) or bearish (triangle down) entries when volatility spikes post-quiet period.
Exit Signals: Suggests exiting when volatility cools below the exit threshold after a minimum hold (default: 3 bars).
Visuals & Table: Tracks volatility, position status, and signals via lines, shaded zones, and a detailed status table.
Settings
Hawkes Kappa (0.1): Adjusts volatility decay (lower = smoother, higher = more sensitive).
Volatility Lookback (168): Sets the period for percentile calculations.
ATR Periods (14): Normalizes volatility using Average True Range.
Breakout Threshold (95%): Volatility percentile for entries.
Exit Threshold (30%): Volatility percentile for exits.
Quiet Threshold (5%): Defines quiet periods.
Minimum Hold Bars (3): Ensures positions are held before exiting.
Alerts: Enable/disable breakout and exit alerts.
How to Use
Entries: Look for triangle markers (up for long, down for short) and confirm with the status table showing "ENTRY" and "LONG"/"SHORT."
Exits: Exit on X cross markers when the status table shows "EXIT" and "Exit Ready: YES."
Monitoring: Use the status table to track position, bars held, and volatility regime (HIGH/LOW/NORMAL).
Combine: Pair with price action, support/resistance, or other indicators for better context.
Tips : Adjust thresholds for your market: lower breakout thresholds for more signals, higher exit thresholds for earlier exits.
Test on your asset to ensure compatibility (best for markets with volatility clustering).
Use alerts to automate signal detection.
Limitations Requires sufficient data (default: 168 bars) for reliable signals. Check "Data Status" in the table.
Focuses on volatility, not price direction—combine with trend tools.
May lag slightly due to the smoothing nature of the Hawkes process.
Why Use It?
The Hawkes Volatility Exit Indicator offers a unique, data-driven approach to timing trades based on volatility dynamics. Its clear visuals, customizable settings, and real-time status table make it a valuable addition to any trader’s toolkit. Try it to catch breakouts and exit with precision!
This indicator is based on neurotrader888's python repo. All credit to him. All mistakes mine.
This conversion published for wider attention to the Hawkes method.
Fibonacci Range Detector ║ BullVision🔬 Overview
The Fibonacci Range Mapper is a dynamic technical tool designed to identify, track, and visualize price ranges using Fibonacci levels. Whether you're trading manually or prefer automated structure recognition, this indicator helps you contextualize market moves and locate key price zones with precision.
⚙️ Core Logic
🔍 Range Detection (Auto & Manual Modes)
In Auto mode, the indicator uses an advanced ZigZag system based on ATR or percentage thresholds to confirm market swings and construct Fibonacci-based ranges.
In Manual mode, traders can define their own swing low and high to generate precise custom ranges.
📐 Fibonacci Mapping
Each detected range is automatically plotted with key Fibonacci retracement levels — 0%, 25%, 50%, 75%, 100% — along with optional extensions (127.2% and 161.8%) to anticipate price continuations or reversals.
📋 Live Data Table
An integrated info panel dynamically displays crucial metrics:
• Range size
• Current price zone (Discount / Mid / Premium)
• Position within range (%)
• Distance to range extremes
• Range status (Pending or Confirmed)
🕰️ Historical Memory
Up to 20 past ranges can be stored and visualized simultaneously, helping traders recognize repeated price behaviors and contextual support/resistance levels.
🎨 Visual Highlights
Zones of interest (0–25% = Discount, 75–100% = Premium) are color-coded with custom transparency, and labels can be toggled for clarity. The current active range updates in real time as structure evolves.
🔧 User Customization
• Detection Method: Choose between ATR or % ZigZag for automated swing identification
• Confirmation Delay: Set how many bars to wait before confirming a new high
• Manual Overrides: Select exact price levels when you want full control
• Extensions & Labels: Toggle additional lines and info to suit your charting style
• Visual Table Position: Customize where the data table appears on screen
• Color Scheme: Define your own zone gradients for better visual interpretation
📈 Use Cases
This indicator is ideal for traders who want to:
• Identify value zones within local or macro price structures
• Plan trades around Fibonacci retracement and extension levels
• Detect shifts in market structure using an adaptive ZigZag logic
• Track recurring price ranges and historical reaction points
• Enhance technical confluence with clean, visual price mapping
⚠️ Important Notes
This tool is not a buy/sell signal generator — it is a visual framework for structure-based analysis.
Use it in conjunction with your existing strategy and risk management process.
Always confirm with broader context and multi-timeframe alignment.
Hypothesis TF Strategy EvaluationThis script provides a statistical evaluation framework for trend-following strategies by examining whether mean returns (measured here as 1-period Rate of Change, ROC) differ significantly across different price quantile groups.
Specifically, it:
Calculates rolling 25th (Q1) and 75th (Q3) percentile levels of price over a user-defined window.
Classifies returns into three groups based on whether price is above Q3, between Q1 and Q3, or below Q1.
Computes mean returns and sample sizes for each group.
Performs Welch's t-tests (which account for unequal variances) between groups to assess if their mean returns differ significantly.
Displays results in two tables:
Summary Table: Shows mean ROC and number of observations for each group.
Hypothesis Testing Table: Shows pairwise t-statistics with significance stars for 95% and 99% confidence levels.
Key Features
Rolling quantile calculations: Captures local price distributions dynamically.
Robust hypothesis testing: Welch's t-test allows for heteroskedasticity between groups.
Significance indicators: Easy visual interpretation with "*" (95%) and "**" (99%) significance levels.
Visual aids: Plots Q1 and Q3 levels on the price chart for intuitive understanding.
Extensible and transparent: Fully commented code that emphasizes the evaluation process rather than trading signals.
Important Notes
Not a trading strategy: This script is intended as a tool for research and validation, not as a standalone trading system.
Look-ahead bias caution: The calculation carefully avoids look-ahead bias by computing quantiles and ROC values only on past data at each point.
Users must ensure look-ahead bias is removed when applying this or similar methods, as look-ahead bias would artificially inflate performance and statistical significance.
The statistical tests rely on the assumption of independent samples, which might not fully hold in financial time series but still provide useful insights
Usage Suggestions
Use this evaluation framework to validate hypotheses about the behavior of returns under different price regimes.
Integrate with your strategy development workflow to test whether certain market conditions produce statistically distinct return distributions.
Example
In this example, the script was run with a quantile length of 20 bars and a lookback of 500 bars for ROC classification.
We consider a simple hypothetical "strategy":
Go long if the previous bar closed above Q3 the 75th percentile).
Go short if the previous bar closed below Q1 (the 25th percentile).
Stay in cash if the previous close was between Q1 and Q3.
The screenshot below demonstrates the results of this evaluation. Surprisingly, the "long" group shows a negative average return, while the "short" group has a positive average return, indicating mean reversion rather than trend following.
The hypothesis testing table confirms that the only statistically significant difference (at 95% or higher confidence) is between the above Q3 and below Q1 groups, suggesting a meaningful divergence in their return behavior.
This highlights how this framework can help validate or challenge intuitive assumptions about strategy performance through rigorous statistical testing.
UngliMulti-Indicator Confluence System
This is a **multi-indicator confluence trading signal system** called "Ungli" that combines RSI, ADX, and MACD to identify high-probability momentum opportunities when used alongside chart pattern and trend line breakouts.
## Core Concept
The script identifies moments when multiple technical indicators align to suggest potential price momentum moves, specifically looking for oversold and overbought conditions with momentum confirmation. Use green and red highlights along with chart patterns and trend line breakouts that signal a breakout for confluence for a likely momentum move.
## Technical Indicators Used
**RSI (Relative Strength Index)**
- Default 14-period RSI
- Oversold threshold: < 40
- Overbought threshold: > 60
**ADX (Average Directional Index)**
- Default 14-period ADX with DI+ and DI-
- Threshold: 21
- Looks for ADX below threshold but ticking upward (momentum building)
**MACD (Moving Average Convergence Divergence)**
- Fast: 12, Slow: 26, Signal: 9
- Uses MACD line direction as trend filter
## Signal Logic
**Green Background (Bullish Momentum Signal):**
- RSI > 60 (overbought)
- ADX < 21 AND rising
- MACD line trending upward
**Red Background (Bearish Momentum Signal):**
- RSI < 40 (oversold)
- ADX < 21 AND rising
- MACD line trending downward
## Key Strategy Elements
1. **Confluence Approach**: Requires all three indicators to align, reducing false signals
2. **Momentum Filter**: ADX must be building (rising) even if low, indicating emerging trend strength
3. **Trend Confirmation**: MACD direction must match the expected move
4. **Visual Simplicity**: Clean background highlighting without chart clutter
5. **Pattern Integration**: Designed to work with chart patterns and breakout strategies
## Use Case
This indicator is designed for swing trading and breakout strategies, identifying moments when oversold/overbought conditions coincide with building momentum in the expected direction. The ADX filter helps avoid choppy, trendless markets. Best used in conjunction with:
- Support/resistance breakouts
- Chart pattern breakouts (triangles, flags, channels)
- Trend line breaks
- Key level violations
The background highlights serve as confluence confirmation when combined with your chart analysis and breakout setups.
Markov Chain Trend ProbabilityA Markov Chain is a mathematical model that predicts future states based on the current state, assuming that the future depends only on the present (not the past). Originally developed by Russian mathematician Andrey Markov, this concept is widely used in:
Finance: Risk modeling, portfolio optimization, credit scoring, algorithmic trading
Weather Forecasting: Predicting sunny/rainy days, temperature patterns, storm tracking
Here's an example of a Markov chain: If the weather is sunny, the probability that will be sunny 30 min later is say 90%. However, if the state changes, i.e. it starts raining, how the probability that will be raining 30 min later is say 70% and only 30% sunny.
Similar concept can be applied to markets price action and trends.
Mathematical Foundation
The core principle follows the Markov Property: P(X_{t+1}|X_t, X_{t-1}, ..., X_0) = P(X_{t+1}|X_t)
Transition Matrix :
-------------Next State
Current----
--------P11 P12
-----P21 P22
Probability Calculations:
P(Up→Up) = Count(Up→Up) / Count(Up states)
P(Down→Down) = Count(Down→Down) / Count(Down states)
Steady-state probability: π = πP (where π is the stationary distribution)
State Definition:
State = UPTREND if (Price_t - Price_{t-n})/ATR > threshold
State = DOWNTREND if (Price_t - Price_{t-n})/ATR < -threshold
How It Works in Trading
This indicator applies Markov Chain theory to market trends by:
Defining States: Classifies market conditions as UPTREND or DOWNTREND based on price movement relative to ATR (Average True Range)
Learning Transitions: Analyzes historical data to calculate probabilities of moving from one state to another
Predicting Probabilities: Estimates the likelihood of future trend continuation or reversal
How to Use
Parameters:
Lookback Period: Number of bars to analyze for trend detection (default: 14)
ATR Threshold: Sensitivity multiplier for state changes (default: 0.5)
Historical Periods: Sample size for probability calculations (default: 33)
Trading Applications:
Trend confirmation for entry/exit decisions
Risk assessment through probability analysis
Market regime identification
Early warning system for potential trend reversals
The indicator works on any timeframe and asset class. Enjoy!
Custom ZigZag IndicatorOverview
The Custom ZigZag Indicator is a technical analysis tool built in Pine Script (version 5) for TradingView. It overlays on price charts to visualize market trends by connecting significant swing highs and lows, filtering out minor price noise. This helps identify the overall market direction (uptrends or downtrends), potential reversal points, and key support/resistance levels. Unlike standard price lines, it "zigzags" only between meaningful pivots, making trends clearer.
Core Logic and How It Works
The script uses a state-machine approach to track market direction and pivots:
Initialization
Starts assuming an upward trend on the first bar.
sets initial high/low prices and bar indices based on the current bar's high/low.
Direction Tracking:
Upward Trend (direction = 1):
Monitors for new highs: If the current high exceeds the tracked high, update the high price and bar.
Checks for reversal: If the low drops below the high by the deviation percentage (e.g., high * (1 - 0.05) for 5%), it signals a downtrend reversal.
Draws a green line from the last pivot (low) to the new high.
If labels are enabled, adds a label: "HH" (Higher High if above previous high), "LH" (Lower High if below), or "H" (for the first one).
Updates the last high and switches to downward direction.
Downward Trend (direction = -1):
Monitors for new lows: If the current low is below the tracked low, update the low price and bar.
Checks for reversal: If the high rises above the low by the deviation percentage (e.g., low * (1 + 0.05)), it signals an uptrend reversal.
Draws a red line from the last pivot (high) to the new low.
If labels are enabled, adds a label: "LL" (Lower Low if below previous low), "HL" (Higher Low if above), or "L" (for the first one).
Updates the last low and switches to upward direction.
GLOBEX BOX v1.0All credit to the creator and teacher of this strategy, @RS.
The "GOBEX BOX v1.0" indicator draws customizable horizontal rectangles (with optional midlines and labels) around specific opening candles in the EST timezone ("America/New_York").
It highlights:
The 09:30–09:31 EST 1-minute candle high/low for Monday through Friday.
The 18:00–18:05 EST 5-minute candle high/low for Sunday through Thursday.
Various customizable features are in the indicator settings.
Happy trading!
Larry Williams's Market Structure
Here is a Pine script based on Larry Williams' market structure model.
Note: When processing real-time ticks, heavy calculations can cause script errors. To prevent this, please adjust the script's data range accordingly.
As I'm not an expert in Pine Script, there may be some imperfections. Your understanding is appreciated.
I have great admiration for the wisdom of Larry Williams.
May the trend be with you.
RSI+BOLLINGER (LONG & SHORT)This indicator combines two of the most popular tools in technical analysis, the Relative Strength Index (RSI) and Bollinger Bands (BB), to generate both long (BUY) and short (SELL) trading signals.
Strategy:
Entries (Buy/Short): Entry signals are based on the RSI.
A BUY is suggested when the RSI crosses above an oversold level (default: 29), indicating a possible upward reversal.
A SHORT is suggested when the RSI crosses below an overbought level (default: 71), indicating a possible downward reversal.
Exits (Position Closure): Exit signals are based on Bollinger Bands.
A long position is closed when the price crosses below the upper Bollinger Band.
A short position is closed when the price crosses above the lower Bollinger Band.
Key Features:
Cascade Filter: Includes a smart filter that prevents opening new consecutive trades if the price hasn't moved significantly in favor of a new entry, optimizing signal quality.
Automation Alerts: Generates detailed alerts in JSON format for each event (buy, sell, close), designed for easy integration with trading bots and automated systems via webhooks.
Fully Configurable: All parameters of the RSI, Bollinger Bands, and strategy filters can be adjusted from the indicator’s settings menu.
SMT Divergence x outofoptions🔍 SMT Divergence — Advanced Market Correlation Analysis
This was created with and approved by @outofoptions to bring you smaller SMTs based on his original SMT Divergence indicator
SMT Divergence is a sophisticated technical analysis indicator designed to identify high-probability reversal and continuation signals through intelligent correlation analysis between related markets. This powerful tool reveals hidden market dynamics by comparing price action divergences across correlated instruments, providing traders with institutional-level market insight.
🎯 Core Capabilities:
Multi-Market Analysis : Automatically compares your chart with a correlated instrument to identify divergence patterns and market inefficiencies
Smart Liquidity Detection : Advanced algorithms identify key liquidity levels and sweep patterns for enhanced signal accuracy
Dynamic Divergence Mapping : Real-time visualization of bullish and bearish divergences with customizable line styles and colors
Intelligent Signal Validation : Optional candle-based confirmation system to filter high-probability setups from noise
Automated Line Management : Smart removal of invalidated divergences to maintain clean, actionable chart analysis
📊 Professional Features:
The SMT Divergence indicator excels at revealing market structure imbalances that often precede significant price movements. By analyzing the relationship between correlated markets, it identifies when institutional money may be positioned differently than retail sentiment suggests, providing early warning signals for potential reversals.
⚙️ Advanced Customization:
Flexible correlation pair selection for any market combination
Customizable visual styling with multiple line types and color schemes
Adjustable validation criteria for different trading styles
Professional alert system with detailed message customization
Automatic cleanup of broken or invalidated divergences
🎨 Visual Excellence:
Clean, professional line drawing with customizable styling
Dynamic labeling system with size and color options
Real-time divergence tracking and management
Institutional-grade chart presentation
Optimized performance for extended analysis periods
📈 Ideal For:
Swing traders seeking high-probability reversal signals
Multi-market analysts comparing correlated instruments
Institutional-style traders using correlation analysis
Advanced technical analysts studying market structure
Those seeking early warning signals for trend changes
🔔 Smart Alerts:
Comprehensive alert system with customizable messaging allows you to stay informed of new divergences across multiple timeframes and market sessions, ensuring you never miss critical market developments.
💡 Market Intelligence:
SMT Divergence transforms complex inter-market relationships into clear, actionable signals, giving you the same analytical edge used by professional trading institutions to identify market turning points before they become obvious to retail traders.
Educational Tool: This indicator is designed for educational and analytical purposes. Divergence analysis requires understanding of market correlation principles. Always combine with proper risk management and additional analysis methods.
SMC XAU/USD Pro✅ Structure filter: Only BUY if the price is above the last bullish BOS, and SELL if it is below the last bearish BOS.
✅ Significant candle body: At least 40% of the range to avoid weak signals.
✅ Boxes limited to 3 per type (old ones automatically cleared).
✅ Visual display of Take Profit and Stop Loss with green and red dashed lines.
✅ Clear BUY/SELL signals with visible labels.
Refined MA + Engulfing (M5 + Confirmed Structure Break)I would like to start by saying that this strategy was put together using ChatGPT, some past trades from myself and some backtested trades, and from my time as a student in Wallstreet Academy under Cue Banks.
I am not profitable yet. I am too jumpy and blow accounts. I'm hoping this strategy (and it's indicator twin) can help me spend less time on the charts, so that I'm not tempted to press buttons as much.
It does fire quite a bit. But, the Strategy Tester tab shows a 30% win rate with our wins being significant to our losses. So, in theory, if you followed the rules of this strategy STRICTLY, you COULD BE profitable.
With that being said, there are times that this strategy has shown to trigger and I ask, "Why?".
I just want to help myself and others, and maybe make some decent\cool stuff along the way. Enjoy
KR
Waterfall ScreenerHow to Use This to Screen Stocks: A Step-by-Step Guide
Save the Screener Script: Open the Pine Editor, paste the code above, and save it with a clear name like "Waterfall Screener".
Open the Stock Screener: Go to the TradingView homepage or any chart page and click the "Screener" tab at the bottom. Make sure you are on the "Stock" screener.
Set Your Market: Choose the market you want to scan (e.g., NASDAQ, NYSE).
Add Your Custom Filter (The Magic Step):
Click the "Filters" button on the right side of the screener panel.
In the search box that appears, type the name of your new script: "Waterfall Screener".
It will appear as a selectable filter. Click it.
Configure the Filter:
A new filter will appear in your screener list named "Waterfall Screener".
You can now set conditions for the "ScreenerSignal" value we plotted.
To find stocks with a new, actionable trade plan, set the filter to:
Waterfall Screener | Equal | 1
Refine and Scan:
Add other essential filters to reduce noise, such as:
Volume > 1M (to find liquid stocks)
Market Cap > 1B (to find established companies)
The screener will now automatically update and show you a list of all stocks that currently have a "PENDING_ENTRY" setup according to the indicator's logic and your chosen timeframe (e.g., Daily).
