FeraTrading Auto ORBThe FeraTrading Auto ORB Indicator automatically plots the high, low, and midline from your selected opening range timeframe—then resets them daily to keep your chart clean and readable.
Customizable Features:
You can choose from multiple ORB timeframes: 1min, 2min, 3min, 5min, 10min, 15min, 30min, 45min, and 60min. These levels display on any chart timeframe, so you can watch a 2-minute chart while tracking 15-minute ORB levels for broader structure.
Toggle each line individually (high, low, midline) on or off
Set custom colors to the lines to match your style
Built for flexibility, simplicity, and clarity.
Also, open source!
指標和策略
SuperTrade ST1 StrategyOverview
The SuperTrade ST1 Strategy is a long-only trend-following strategy that combines a Supertrend indicator with a 200-period EMA filter to isolate high-probability bullish trade setups. It is designed to operate in trending markets, using volatility-based exits with a strict 1:4 Risk-to-Reward (R:R) ratio, meaning that each trade targets a profit 4× the size of its predefined risk.
This strategy is ideal for traders looking to align with medium- to long-term trends, while maintaining disciplined risk control and minimal trade frequency.
How It Works
This strategy leverages three key components:
Supertrend Indicator
A trend-following indicator based on Average True Range (ATR).
Identifies bullish/bearish trend direction by plotting a trailing stop line that moves with price volatility.
200-period Exponential Moving Average (EMA) Filter
Trades are only taken when the price is above the EMA, ensuring participation only during confirmed uptrends.
Helps filter out counter-trend entries during market pullbacks or ranges.
ATR-Based Stop Loss and Take Profit
Each trade uses the ATR to calculate volatility-adjusted exit levels.
Stop Loss: 1× ATR below entry.
Take Profit: 4× ATR above entry (1:4 R:R).
This asymmetry ensures that even with a lower win rate, the strategy can remain profitable.
Entry Conditions
A long trade is triggered when:
Supertrend flips from bearish to bullish (trend reversal).
Price closes above the Supertrend line.
Price is above the 200 EMA (bullish market bias).
Exit Logic
Once a long position is entered:
Stop loss is set 1 ATR below entry.
Take profit is set 4 ATR above entry.
The strategy automatically exits the position on either target.
Backtest Settings
This strategy is configured for realistic backtesting, including:
$10,000 account size
2% equity risk per trade
0.1% commission
1 tick slippage
These settings aim to simulate real-world conditions and avoid overly optimistic results.
How to Use
Apply the script to any timeframe, though higher timeframes (1H, 4H, Daily) often yield more reliable signals.
Works best in clearly trending markets (especially in crypto, stocks, indices).
Can be paired with alerts for live trading or analysis.
Important Notes
This version is long-only by design. No short positions are executed.
Ideal for swing traders or position traders seeking asymmetric returns.
Users can modify the ATR period, Supertrend factor, or EMA filter length based on asset behavior.
ATR-Based Target & Stop-Loss📈 ATR-Based Stop Loss & Target Finder Indicator – Description
The ATR-Based SL & Target Finder is a dynamic risk management tool designed to calculate optimal stop loss and target levels based on market volatility. It leverages the Average True Range (ATR)—a popular volatility indicator—to adaptively scale your risk according to current market conditions.
🔧 How It Works:
Input Parameters:
ATR Length (Default: 14): Determines the period over which ATR is calculated.
Risk Multiplier (for SL): The SL is calculated as a multiple of the ATR (e.g., 1.5× ATR).
Reward Multiplier (for Target): The target is calculated as a multiple of the ATR (e.g., 2× or 3× ATR).
Entry Candle Logic:
You define the entry candle (either via strategy logic or manual marking).
The indicator uses the high/low of this entry candle to place the SL and target.
Stop Loss & Target Levels:
For Long Positions:
SL = Entry Candle Low − (Risk Multiplier × ATR)
Target = Entry Price + (Reward Multiplier × ATR)
For Short Positions:
SL = Entry Candle High + (Risk Multiplier × ATR)
Target = Entry Price − (Reward Multiplier × ATR)
Visuals on Chart:
Horizontal lines or labels indicating SL and target levels.
Option to enable/disable real-time labels and color-coded zones.
✅ Key Features:
Volatility-Adjusted: Adapts to market conditions automatically.
Customizable Multipliers: Supports various risk-reward ratios (e.g., 1:2, 1:3).
Intraday & Positional: Works across timeframes (5-min to daily).
Trend-Agnostic: Can be paired with any entry strategy (EMA cross, candle rating, RSI/VWAP, etc.).
🎯 Ideal Use Case:
Traders seeking objective, emotion-free exits based on volatility—especially in fast-moving instruments like Nifty/Bank Nifty, stocks, or crypto. The indicator fits seamlessly with both manual trading setups and algo executions that require SL/target auto-calculation.
Time-based LiquidityThis indicator automatically marks important time-based liquidity levels on your chart, helping you stay aware of where major price reactions may occur and the market is forced to show its hand.
Key Features:
Previous Month’s, Week’s, and Day’s Highs and Lows: Displays PMH/PML, PWH/PWL, and PDH/PDL — key reference points where liquidity often accumulates.
Intraday Session Highs and Lows: Divides the trading day into quarters (00:00–06:00, 06:00–12:00, etc. following Day’s Quarterly Theory) and tracks session highs and lows dynamically across these periods.
Current Session 90-Minute Quarters: Splits the active session into 90-minute intervals to highlight short-term liquidity structures and potential reaction zones.
Level Alerts: Tracks when each liquidity level is reached and enables customizable alerts so you don’t miss important price movements.
Use Case:
This tool provides an organized, time-based framework for identifying where liquidity is likely to concentrate across different timeframes and intraday cycles. Use these levels for forming bias, planning entries, exits, or anticipating price reactions at key points in the market structure.
Customization Options:
Enable/disable liquidity levels to display (Daily, Weekly, Monthly, Sessions, Session Quarters)
Customize the appearance of each level (color, style, line width)
Enable or disable tracking and alerts for level interactions
MA Dispersion+MA Dispersion+ — read the “breathing space” between your moving-averages
Get instant feedback on trend strength, volatility expansion and mean-reversion — across any timeframe.
MA Dispersion+ turns the humble moving-average stack into a single, easy-to-read oscillator that tells you at a glance whether price is coiling or fanning out.
🧩 What it does
Plugs into your favourite MA setup
• Pick the classic 5 / 20 / 50 / 200 lengths or disable any combination with one click.
• Choose the MA engine you trust — SMA, EMA, RMA, VWMA or WMA.
• Works on any timeframe thanks to TradingView’s security() engine.
Measures “spread”
For every bar it calculates the absolute distance of each selected MA from their average.
The tighter the stack, the lower the value; the wider the fan, the higher the value.
Adds professional-grade controls
• Weighting — let short-term MAs dominate (Inverse Length), keep everything equal, or dial in your own custom weights.
• Normalisation — convert the raw distance into a percentage of price, ATR multiples, or scale by the MAs’ own mean so you can compare symbols of any price or volatility.
🔍 How traders use it
Trend confirmation – rising dispersion while price breaks out = momentum is genuine.
Volatility squeeze – dispersion parking near zero warns that a big move is loading.
Multi-TF outlook – drop one pane per timeframe (e.g. 5 m, 1 h, 1 D) and see which layer of the market is driving.
Mean-reversion plays – spikes that fade quickly often coincide with exhaustion and snap-backs.
⚙️ Quick-start
Add MA Dispersion+ to your chart.
Set the pane’s timeframe in the first input.
Tick the MA lengths you actually use.
(Optional) Pick a weighting scheme and a normaliser.
Repeat the indicator for as many timeframes as you like — each instance keeps its own settings.
✨ Why you’ll love it
Zero clutter – one orange line tells you what four separate MAs whisper.
Configurable yet bullet-proof – all lengths are hard-coded constants, so Pine never complains.
Context aware – normalisation lets you compare BTC’s $60 000 chaos with EURUSD’s four--decimals calm.
Lightweight – no labels, no drawings, no background processing — perfect for mobile and multi-pane layouts.
Give MA Dispersion+ a try and let your charts breathe — you’ll never look at moving-average ribbons the same way again.
Happy trading!
NeuroTrendNeuroTrend is an advanced, self-adjusting trend analysis system that continuously adapts to changing market conditions using volatility-aware smoothing, momentum weighting, and intelligent trend classification. It provides real-time trend detection, confidence scoring, early reversal warnings, and slope projection, all delivered through a coaching dashboard and structured rule-based commentary system.
At its core, NeuroTrend uses two EMAs whose smoothing lengths change automatically based on current volatility, measured by the ATR relative to price, and momentum bias, measured by RSI displacement from the neutral level. These adaptive EMAs create a flexible baseline that adjusts to the pace of the market. From these EMAs, the system calculates angular slope and derives a slope power score, which reflects directional momentum weighted by volatility.
NeuroTrend classifies each bar into one of five market phases: Impulse, Cooling, Reversal Risk, Stall, or Neutral. This classification is based on slope strength, slope variability, and RSI behavior. Each phase offers specific context for whether to enter, continue, or avoid a position.
The indicator uses what is referred to as a neural memory engine, which is inspired by the idea of memory but is not a neural network or machine learning model. Instead, it is a statistical recalibration system that adjusts thresholds using recent ATR conditions and slope standard deviation. This allows the indicator to remain aligned with the current market environment without the need for manual tuning.
Although NeuroTrend is fully adaptive, it includes inputs for the base fast and slow EMAs. These inputs define the central anchor points around which the adaptive logic operates. This gives the trader the ability to control the default behavior of the indicator while still benefiting from real-time responsiveness to volatility and momentum.
To assess the strength of a trend, NeuroTrend computes a confidence score based on four elements: DMI trend strength, directional bias from DI+ and DI–, slope normalization, and volatility efficiency measured by ATR in relation to EMA distance. This score is used to inform alerts, commentary, and dashboard visualization.
The indicator also includes a slope projection engine that estimates near-term direction based on slope change and acceleration. This projection is scaled and clamped using a dynamic volatility factor to prevent unrealistic or unstable values.
Reversal and stall detection are built in. Reversal detection is based on slope collapsing, sign flipping, and RSI weakness. Stall detection is triggered when slope magnitude is low, RSI is flat, and ATR is compressed. These filters help prevent entries in low-quality or high-risk environments.
The system also includes AI-style commentary. This feature is not powered by machine learning or natural language processing. It is rule-based, using prioritized conditions to generate clear statements that reflect the current market state. Messages such as "Strong trend forming" or "Reversal risk rising" are created by predefined logic that adapts to the market.
A visual dashboard is provided on the chart. It displays the current phase, trend direction, slope score, confidence level, reversal status, stall condition, and projected slope angle. This helps traders interpret market behavior at a glance without scanning multiple indicators.
Alerts are triggered only when specific conditions are met: trend strength must be in the impulse phase, confidence must be high, and there must be no active reversal or stall conditions. This ensures alerts are reserved for high-quality setups with strong directional alignment.
Disclaimer:
This script is intended for educational and informational use only. It does not constitute financial advice. The author accepts no responsibility for any trading or investment decisions made using this tool. Always do your own research and consult a licensed financial advisor before making financial decisions.
IBD Style Candles [tradeviZion]IBD Style Candles - Visualize Price Bars Like the Pros
Transform your chart with institutional-grade IBD-style bars and customizable moving averages for both daily and weekly timeframes. This indicator helps you visualize price action the way professionals at Investors Business Daily do.
What This Indicator Offers:
IBD-style bar visualization (clean, professional appearance)
Customizable coloring based on price movement or previous close
Automatic timeframe detection for appropriate moving averages
Four customizable moving averages for daily timeframes (10, 21, 50, 200)
Four customizable moving averages for weekly timeframes (10, 20, 30, 40)
Options to use SMAs or EMAs with adjustable colors and line widths
"The IBD-style bars provide a cleaner view of price action, allowing you to focus on market structure without the visual noise of traditional candles."
How to Apply the IBD-Style Bars:
On your TradingView chart, select "Bars" as the chart type from the main chart type selection menu (next to the time interval options).
Right-click on the chart and select "Settings".
Go to the "Symbol" tab.
Uncheck the "Thin Bars" option to display thicker bars.
Set the "Up Color" and "Down Color" opacity to 0 for a clean IBD-style appearance.
Enable "IBD-style Candles" from the script's settings.
To revert to the original chart style, repeat the above steps and restore the default settings.
Moving Average Configuration:
The indicator automatically detects your timeframe and displays the appropriate moving averages:
Daily Timeframe Moving Averages:
10-day moving average (SMA/EMA)
21-day moving average (SMA/EMA)
50-day moving average (SMA/EMA)
200-day moving average (SMA/EMA)
Weekly Timeframe Moving Averages:
10-week moving average (SMA/EMA)
20-week moving average (SMA/EMA)
30-week moving average (SMA/EMA)
40-week moving average (SMA/EMA)
Usage Tips:
Enable "Color bars based on previous close" to identify momentum shifts based on prior candle closes
Customize colors to match your chart theme or preference
Enable only the moving averages relevant to your trading strategy
For cleaner charts, reduce the number of visible moving averages
For stock trading, the 10/21/50/200 daily and 10/40 weekly MAs are most commonly used by institutions
// Example configuration for different timeframes
if timeframe.isweekly
// Weekly configuration
showSMA1_Weekly = true // 10-week MA
showSMA4_Weekly = true // 40-week MA
else
// Daily configuration
showMA2_Daily = true // 21-day MA
showMA3_Daily = true // 50-day MA
showMA4_Daily = true // 200-day MA
While the IBD style provides clarity, remember that no visualization method guarantees trading success. Always combine with proper analysis and risk management.
If you found this indicator helpful, please consider leaving a comment or suggestion for future improvements. Happy trading!
Ceres Trader Inv DXY % OverlayIntroducing the “Inverse DXY % Overlay” for TradingView
What it does:
• Plots the U.S. Dollar Index (DXY) as an inverted %-change line directly over your primary chart (e.g. XAUUSD).
• Dollar strength shows as a downward line; dollar weakness shows as an upward line—instantly highlighting negative correlation.
Why it helps:
• Trend confirmation – Ride Gold breakouts only when the dollar is actually weakening.
• Divergence signals – Spot early turn setups when Gold and DXY % don’t move in sync.
• Risk management – Trim or tighten stops when the dollar pivots against your position.
Key features:
Overlay on any symbol (Gold, Silver, Oil, Crypto, equities)
Auto-scaled to left-axis %, so your price chart stays on the right
Lightweight & transparent—1 px grey line, minimal clutter
Now you’ll have a real-time, inverted DXY % line beneath your candles—perfect for gauging USD flow before you pull the trigger on any trade.
Happy trading! 🚀
—Michael (Ceres Trader)
Momentum Trend Signals: Buy/Cautious/Add/Sell with EMA FilterMomentum Trend Signals is a trend-following and momentum-based indicator designed to assist traders in identifying optimal entry and exit points using a combination of price action patterns, EMA filters, and RSI strength.
📌 Core Logic:
This script generates Buy, Cautious, Add, and Sell signals based on:
Candle Structure: Checks for strong higher highs/lows (buy) or lower highs/lows (sell).
Momentum Confirmation: Uses RSI > 50 for bullish strength.
Trend Filter: Employs a combination of EMA21 and EMA50 to confirm trend direction.
Long-term Trend: Incorporates a 30-week WMA (approximated as a 150-day WMA) to align with broader trends.
✅ Signal Definitions:
Buy (B): Triggered when price shows upward momentum with RSI and EMA filters confirming bullish strength above 30-week WMA.
Cautious (⚠️): Warns of potential short-term weakness in an ongoing uptrend.
Add (A): Suggests re-entry or position addition after a bounce from EMA21, following a Cautious signal (not after a Sell).
Sell (S): Activated when bearish candle structure aligns with price closing below EMA21, indicating a breakdown in momentum.
📊 How to Use:
Use Buy signals to initiate long positions when all trend conditions align.
Monitor Cautious alerts to manage risk or tighten stops.
Consider Add signals to scale into winning positions.
Use Sell signals for potential exits or short opportunities.
LANZ Strategy 2.0🔷 LANZ Strategy 2.0 — London Breakout Confirmation with Structural Swing Protection
LANZ Strategy 2.0 is a structured trading system that leverages the last confirmed market direction before the London session to define directional bias and manage trades based on key structural swing levels. It is tailored for intraday traders looking to capitalize on early London volatility with built-in risk management and visual clarity.
🧠 Core Components:
Directional Confirmation (Pre-London Bias): Validates the last breakout or structural move from the 15-minute timeframe before 02:15 a.m. New York time (start of the London session), establishing the expected market direction.
Time-Based Execution: Executes potential entries strictly at 02:15 a.m. NY time, using market structure to support Long or Short bias.
Dynamic Swing-Based SL System: Allows user to select between three SL protection models: First Swing (most recent structural point) Second Swing (prior level) Total Coverage (includes both swings + extra buffer) This supports flexibility based on trader profile or market conditions.
Visual Risk Mapping: All SL and TP levels are clearly plotted.
End-of-Session Management: Positions are automatically evaluated for closure at 11:45 a.m. NY time. SL, TP, or manual close outcomes are labeled accordingly.
📊 Visual Features:
Labels for 1st and 2nd swing levels upon entry.
Dynamic lines projecting SL/TP levels toward the end of the session.
Session background coloring for Pre-London, Execution, and NY sessions.
Real-time percentage outcome labels (+2.00%, -1.00%, or net % at session end).
Automatic deletion of previous visuals on new entries for clean charting.
⚙️ How It Works:
Detects last structural breakout on the 15m timeframe before 02:15 a.m. NY.
On the 02:15 a.m. candle, executes a Long or Short logic entry.
Plots corresponding SL and TP based on selected swing model.
Monitors price action: If TP or SL is hit, labels it accordingly. If no exit is hit, trade closes manually at 11:45 a.m. NY with net result shown.
Optional logic to reverse entries if market structure breaks before execution.
🔔 Alerts:
Daily execution alert at 02:15 a.m. NY (prompting manual review or action).
Optional alert logic can be extended for SL/TP hits or structure breaks.
📝 Notes:
Designed for semi-automated or discretionary intraday trading.
Best used on Forex pairs or indices with strong London session behavior.
Adjustable parameters include session hours, swing SL type, and buffer settings.
Credits:
Developed by LANZ, this script combines time-based execution with dynamic structure protection, offering a disciplined framework for participating in the London session breakout with clear visuals and risk logic.
Intraday Call Signal - StrategyThis indicator identifies high-probability intraday long (call option) setups based on a combination of trend and momentum conditions. It scans the current chart (e.g., NVDA, AAPL, TSLA) for the following:
The 9-period EMA crosses above the 21-period EMA (signals momentum shift).
Price is above VWAP (indicating buyers are in control intraday).
RSI (14) is greater than 55 (confirms bullish strength).
All conditions must occur within the 9:45 AM to 11:30 AM ET window to avoid early "fakeouts" and catch strong morning trends.
The indicator triggers only once per day (first valid signal) to reduce noise.
A green marker is plotted on the chart when a valid signal is detected, and an alert condition is available to send notifications in real time. Designed for use with liquid, high-volume stocks and index ETFs for intraday call option strategies.
Price Lag Factor (PLF)📊 Price Lag Factor (PLF) for Crypto Traders: A Comprehensive Breakdown
The Price Lag Factor (PLF) is a momentum indicator designed to identify overextended price movements and gauge market momentum. It is particularly optimized for the crypto market, which is known for its high volatility and rapid trend shifts.
🔎 What is the Price Lag Factor (PLF)?
The PLF measures the difference between long-term and short-term price momentum and scales it dynamically based on recent volatility. This helps traders identify when the market might be overbought or oversold while filtering out noise.
The formula used in the PLF calculation is:
PLF = (Z-Long - Z-Short) / Stdev(PLF)
Where:
Z-long: Z-score of the long-term moving average (50-period by default).
Z-short: Z-score of the short-term moving average (14-period by default).
Stdev(PLF): Standard deviation of the PLF over a longer period (50-period by default).
🧠 How to Interpret the PLF:
1. Trend Direction:
Positive PLF (Green Bars): Indicates bullish momentum. The long-term trend is up, and short-term movements are confirming it.
Negative PLF (Red Bars): Indicates bearish momentum. The long-term trend is down, and short-term movements are consistent with it.
2. Momentum Strength:
PLF near Zero (±0.5): Low momentum; trend direction is not strong.
PLF between ±1 and ±2: Moderate momentum, indicating that the market is moving with strength but not in an overextended state.
PLF beyond ±2: High momentum (overbought/oversold), indicating potential trend exhaustion and a possible reversal.
📈 Trading Strategies:
1. Trend Following:
Bullish Signal:
Enter long when PLF crosses above 0 and remains green.
Confirm with other indicators like RSI or MACD to reduce false signals.
Bearish Signal:
Enter short when PLF crosses below 0 and remains red.
Use trend confirmation (e.g., moving average crossover) for better accuracy.
2. Reversal Trading:
Overbought Signal:
If PLF rises above +2, look for signs of bearish divergence or a reversal pattern to consider a short entry.
Oversold Signal:
If PLF falls below -2, watch for bullish divergence or a support bounce to consider a long entry.
3. Momentum Divergence:
Bullish Divergence:
Price makes a lower low while PLF makes a higher low.
Indicates weakening bearish momentum and a potential bullish reversal.
Bearish Divergence:
Price makes a higher high while PLF makes a lower high.
Signals weakening bullish momentum and a potential bearish reversal.
💡 Best Practices:
Combine with Volume:
Volume spikes during high PLF readings can confirm trend continuation.
Low volume during PLF extremes may hint at false breakouts.
Watch for Extreme Levels:
PLF beyond ±2 suggests overextended price action. Use caution when entering new positions.
Confirm with Other Indicators:
Use with Relative Strength Index (RSI) or Bollinger Bands to get a better sense of overbought/oversold conditions.
Overlay with a moving average to gauge trend consistency.
🚀 Why the PLF Works for Crypto:
Crypto markets are highly volatile and prone to rapid trend changes. The PLF's adaptive scaling ensures it remains relevant regardless of market conditions.
It highlights momentum shifts more accurately than static indicators because it accounts for changing volatility in its calculation.
🚨 Disclaimer for Traders Using the Price Lag Factor (PLF) Indicator:
The Price Lag Factor (PLF) indicator is designed as a technical analysis tool to gauge momentum and identify potential overbought or oversold conditions. However, it should not be relied upon as a sole decision-making factor for trading or investing.
Important Points to Consider:
Market Risk: Trading cryptocurrencies and other financial assets involves significant risk. The PLF may not accurately predict future price movements, especially during unexpected market events.
Indicator Limitations: No technical indicator, including the PLF, is infallible. False signals can occur, particularly in low-volume or highly volatile conditions.
Supplementary Analysis: Always combine PLF insights with other technical indicators, fundamental analysis, and risk management strategies to make informed decisions.
Personal Judgment: Traders should use their own discretion when interpreting PLF signals and never trade based solely on this indicator.
No Guarantees: The PLF is designed for educational and informational purposes only. Past performance is not indicative of future results.
Always perform thorough research and consider consulting with a professional financial advisor before making any trading decisions.
Buy and Sell Pressure Signals (Clean)This script identifies strong buy and sell pressure based purely on candlestick structure — no indicators, no clutter. It highlights key reversal or momentum candles using minimal visuals:
🔼 Green Triangle (Buy Pressure): A bullish candle with a large body and small upper/lower wicks, indicating strong upward momentum and buyer control.
🔽 Red Triangle (Sell Pressure): A bearish candle with a large body and small wicks, showing strong downward momentum and seller dominance.
Designed for traders who prefer clean, price-action-based signals without text labels or distracting overlays. Ideal for scalping, trend confirmation, or identifying exhaustion zones.
Divergence Macro Sentiment Indicator (DMSI)The Divergence Macro Sentiment Indicator (DMSI)
Think of DMSI as your daily “mood ring” for the markets. It boils down the tug-of-war between growth assets (S&P 500, copper, oil) and safe havens (gold, VIX) into one clear histogram—so you instantly know if the bulls have broad backing or are charging ahead with one foot tied behind.
🔍 What You’re Seeing
Green bars (above zero): Risk-on conviction.
Equities and commodities are rallying while gold and volatility retreat.
Red bars (below zero): Risk-off caution.
Gold or VIX are climbing even as stocks rise—or stocks aren’t fully joined by oil/copper.
Zero line: The line in the sand between “full-steam ahead” and “proceed with care.”
📈 How to Read It
Cross-Zero Signals
Bullish trigger: DMSI flips up through zero after a red stretch → fresh long entries.
Bearish trigger: DMSI tumbles below zero from green territory → tighten stops or go defensive.
Divergence Warnings
If SPX makes new highs but DMSI is rolling over (lower green bars or red), that’s your early red flag—rallies may fizzle.
Strength Confirmation
On pullbacks, only buy dips when DMSI ≥ 0. When DMSI is deeply positive, you can be more aggressive on position size or add leverage.
💡 Trade Guidance & Use Cases
Trend Filter: Only take your S&P or sector-ETF long setups when DMSI is non-negative—avoids hollow rallies.
Macro Pair Trades:
Deep red DMSI: go long gold or gold miners (GLD, GDX).
Strong green DMSI: lean into cyclicals, industrials, even energy names.
Risk Management:
Scale out as DMSI fades into negative territory mid-trade.
Scale in or add to winners when it stays bullish.
Swing Confirmation: Overlay on any oscillator or price-pattern system—accept signals only when the macro tide is flowing in your favour.
🚀 Why It Works
Markets don’t move in a vacuum. When stocks rally but the “real-economy” metals and volatility aren’t cooperating, something’s off under the hood. DMSI catches those cross-asset cracks before price alone can—and gives you an early warning system for smarter entries, tighter risk, and bigger gains when the macro trend really kicks in.
Multiple Smas and timeframesIndicator Title: Multiple SMAs Across Custom Timeframes
Short Title: Multi-Timeframe SMAs
Description:
The "Multiple SMAs Across Custom Timeframes" indicator is designed for traders who want to visualize Simple Moving Averages (SMAs) across multiple timeframes on a single chart or synchronize SMA configurations across different chart windows. This Pine Script indicator allows users to plot two groups of SMAs (each with three customizable periods: shorter, middle, and longest) on user-defined timeframes, making it ideal for multi-timeframe analysis. For example, you can display 20, 50, and 200-period SMAs calculated on a 2-minute or 1-hour timeframe, ensuring consistent SMA visualization across charts like 30-minute, 5-minute, and 1-minute windows for assets like QQQ.
Key Features:
Two SMA Groups: Configure two independent groups of SMAs, each with three periods (e.g., 20, 50, 200) for flexible analysis.
Custom Timeframes: Set distinct timeframes for each SMA group (e.g., 2 minutes, 1 hour) to align with your trading strategy.
Dashed Line Option: Toggle dashed or solid lines for each SMA group to differentiate them visually.
Timeframe Conversion: Automatically adjusts SMA calculations based on the chart’s timeframe, supporting minute, daily, weekly, and monthly charts.
Color-Coded SMAs: Each SMA is plotted with distinct colors (orange, purple, blue) for easy identification.
Performance Optimization: Limits SMA calculations to periods under 5000 bars to prevent performance issues.
How It Works:
The script calculates SMAs by scaling the input periods based on the ratio between the user-specified timeframe and the chart’s timeframe. For instance, a 20-period SMA on a 2-minute timeframe displayed on a 1-minute chart will adjust to reflect the equivalent number of 1-minute bars. The indicator supports seamless visualization across multiple chart windows, ensuring consistent SMA configurations. Group 1 and Group 2 SMAs can be set to different timeframes, allowing simultaneous analysis of short-term and long-term trends.
Inputs:
SMA Group 1:
Shorter SMA (default: 20)
Middle SMA (default: 50)
Longest SMA (default: 200)
Use Dashed Line (default: false)
Timeframe (default: 2 minutes)
SMA Group 2:
Shorter SMA (default: 20)
Middle SMA (default: 50)
Longest SMA (default: 200)
Use Dashed Line (default: false)
Timeframe (default: 60 minutes)
Use Case:
Perfect for traders analyzing assets like QQQ across multiple timeframes (e.g., 30-minute, 5-minute, 1-minute charts). Set Group 1 to calculate SMAs (20, 50, 200) on a 2-minute timeframe and Group 2 on a 1-hour timeframe. Apply the indicator to all chart windows to maintain consistent SMA visualization, aiding in trend identification and cross-timeframe confirmation.
Notes:
Timeframe inputs are ignored on weekly or monthly charts, as the script adapts to the chart’s native timeframe.
Ensure SMA periods, when scaled, do not exceed 5000 bars to maintain performance.
Use the dashed line option to visually distinguish between SMA groups when analyzing multiple timeframes.
Ideal For:
Multi-timeframe traders
Trend-following strategies
Swing and day trading
Technical analysts seeking synchronized SMA displays across chart windows
Enhance your trading with precise, timeframe-adjusted SMA visualizations and streamline your multi-chart analysis with this versatile indicator!
Explain timeframe conversion
Exponential Moving Averages
ICT iFVG Detector and Alert [by ote618]Description
This script detects ICT - fair value gaps (FVG) formed by price gaps between Candle 1 and Candle 3, then monitors the next 5 candles for an inverse fair value gap (iFVG).
What It Detects
Bullish FVG: When Candle 1 high is below Candle 3 low (BISI)
Bearish FVG: When Candle 1 low is above Candle 3 high (SIBI)
Once an FVG is detected, the script checks the next 5 candles:
A Bullish FVG becomes a Bearish IFVG if price closes below Candle 1 high
A Bearish FVG becomes a Bullish IFVG if price closes above Candle 1 low
Only the first bar that validates the FVG triggers the transition to an IFVG.
Visual Output
A shaded rectangle is plotted to mark the original FVG zone (from Candle 1 to Candle 3)
Color-coded:
Red for Bearish IFVG (validated Bullish IG)
Green for Bullish IFVG (validated Bearish IG)
The rectangle extends from Candle 1 to the validating bar
Alerts
You can receive alerts when an FVG becomes an IFVG:
Configurable to fire only on selected timeframes (1m, 5m, 15m, 60m)
Alerts include the direction and the chart timeframe
Settings
Enable Alerts For Timeframe: Choose which timeframe(s) trigger alerts
This tool helps traders identify inverse FVGs (iFVG), a useful ICT concept.
1H Reversal Strategy + Supertrend Exit (met ta.dmi)Eerste strategie, dus ik wil even uitproberen of dit werkt met Cryptohopper.
Internal Market Structure + Order BlocksInternal Market Structure + Order Blocks
This indicator combines internal market structure shifts with order block detection to help traders identify key zones of institutional interest and potential trend reversals. It highlights bullish and bearish engulfing conditions that mark the formation of valid order blocks, and it plots internal structure shifts—early signals that may precede a larger move.
Key Features:
-Bullish & Bearish Order Blocks: Highlighted with shaded boxes (green for bullish, red for bearish) following engulfing price action.
-Internal Structure Shifts: Small black triangles show early signs of a potential reversal, offering a unique perspective beyond standard structure analysis.
-Engulfing Breakouts: Marks when price breaks previous opposing structure, confirming new directional intent.
-Alerts Included: Get notified on key structure breaks and internal shifts to stay ahead of potential setups.
This tool is designed to support price action trading by visually mapping key structural changes and zones of interest directly on your chart. It is not intended to function as a standalone trading strategy , but rather as a supplementary tool to inform your own analysis and discretion.
Note: The arrows, polylines, and colored trendlines shown in the chart example are not generated by the indicator. They have been added manually for illustration purposes to demonstrate how the indicator can be used to trace market structure. Likewise, the order blocks in the example are manually drawn and may differ slightly from the indicator's automatic calculations, serving only to enhance visual clarity.
Balance-Tilt Indicator – Micro Range Equilibrium Tool (V2)The Extreme Conditions Background Gradient Tint indicator is designed to visually highlight extreme conditions in the market by applying dynamic background color changes based on a specific score—referred to as the tilt_score. This indicator helps traders quickly identify potential critical points in price movement, which could indicate a turning point, overbought, or oversold conditions.
Key Features:
Dynamic Background Tint:
- The indicator changes the background color to provide a visual cue based on the value of the tilt_score:
Green Tint: When the tilt_score exceeds 0.85, a green background is applied, signaling a highly bullish condition. The opacity of the tint decreases as the score rises above 0.85, providing a gradient effect.
Red Tint: When the tilt_score falls below -0.85, a red background is applied, signaling a highly bearish condition. The opacity of the red tint decreases as the score becomes more negative, again creating a gradient effect.
Neutral Zone (No Tint): For values of the tilt_score between -0.85 and 0.85, no background tint is applied, indicating neutral or moderate market conditions.
- Opacity Adjustment Based on Score:
The opacity of the background color is dynamically adjusted depending on how extreme the tilt_score is. The further the score deviates from the neutral range (i.e., above 0.85 or below -0.85), the more intense the color becomes, making it easier for traders to spot extreme market conditions at a glance.
- Visual Alerts for Extreme Conditions:
The green tint alerts traders to a strong uptrend or bullish momentum, while the red tint alerts to a strong downtrend or bearish momentum. These visual cues help traders identify potential reversal points, exhaustion, or other significant market shifts.
How to Use the Indicator:
- Spotting Market Extremes:
Bullish Signal: When the background turns green, with a tilt_score higher than 0.85, it suggests that the market may be entering an extreme bullish phase. Traders can look for continuation signals, confirm with other indicators, or prepare for a potential pullback if the score continues to rise sharply.
Bearish Signal: When the background turns red, with a tilt_score lower than -0.85, it indicates an extreme bearish market condition. Traders may look for potential reversal patterns or prepare for a continuation of the downtrend if the score continues to decrease.
- Use in Conjunction with Other Indicators:
While this background tint provides a useful visual cue, it is recommended to use it alongside other technical indicators (such as RSI, MACD, or moving averages) to confirm trends or identify overbought/oversold conditions. The tilt_score focuses on extreme price movement and should be seen as a supplementary tool to help validate trade setups.
- Avoiding Overreaction:
A background shift to extreme colors (green or red) does not automatically indicate a reversal but rather a strong trend condition. Ensure confirmation with other technical tools before making trade decisions based purely on these background signals.
Conclusion:
The Extreme Conditions Background Gradient Tint is a straightforward, effective tool for identifying extreme market conditions. Its dynamic color-changing feature helps you quickly detect potential trend reversals or confirmation of strong trends. By monitoring the tint and combining it with other analysis tools, you can enhance your market timing and improve trading decisions based on visual cues from price action.
Futures Globex Session (Auto Session Times)This indicator will automatically change the globex session start and stop times relative to the product you are trading. For it to work correctly you have to be on the continuous unadjusted chart (MES1!, MCL1!, etc..)
21/200 EMA Cross with circles - Crypto GoatizThis script detects The 21/200 EMA crossovers which signals trend confirmations in the market. The script enhances that signal with clear visual cues so that you never miss a critical trend shift on lock in those gainzzz! 🤑🤑🤑
Useful when Scalping on the 3 min Timeframe, but also good on higher timeframes for swings!
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🔗 Discord: discord.gg
RSI Ichimoku Cloud + SignalsIndicator Name: RSI Ichimoku Cloud with SMA200 Filter
Description:
This custom indicator combines the Relative Strength Index (RSI) with Ichimoku Cloud logic and a 200-period Simple Moving Average (SMA) applied to RSI, providing enhanced signal filtering and trend validation.
How It Works:
RSI Calculation
Standard RSI is calculated (default period: 14).
Ichimoku Cloud on RSI
Traditional Ichimoku components (Tenkan-sen, Kijun-sen, Senkou Span A & B) are applied directly to the RSI instead of price.
The future cloud (Senkou Span A/B) helps anticipate RSI momentum shifts.
SMA 200 on RSI
A 200-period SMA is calculated on the RSI line, acting as a trend filter.
Only long (buy) signals are allowed when RSI > SMA200.
Only short (sell) signals are allowed when RSI < SMA200.
Entry Signals
Buy Signal: RSI crosses above the Ichimoku cloud + cloud is bullish + Tenkan > Kijun + RSI above SMA200.
Sell Signal: RSI crosses below the cloud + cloud is bearish + Tenkan < Kijun + RSI below SMA200.
Visual Output
Buy and Sell signals are plotted as labels on the main price chart.
The indicator does not draw the RSI or SMA visually, but uses them internally for signal generation.
Extended Altman Z-Score ModelThe Extended Altman Z-Score Model represents a significant advancement in financial analysis and risk assessment, building upon the foundational work of Altman (1968) while incorporating contemporary data analytics approaches as proposed by Fung (2023). This sophisticated model enhances the traditional bankruptcy prediction framework by integrating additional financial metrics and modern analytical techniques, offering a more comprehensive approach to identifying financially distressed companies.
The model's architecture is built upon two distinct yet complementary scoring systems. The traditional Altman Z-Score components form the foundation, including Working Capital to Total Assets (X1), which measures a company's short-term liquidity and operational efficiency. Retained Earnings to Total Assets (X2) provides insight into the company's historical profitability and reinvestment capacity. EBIT to Total Assets (X3) evaluates operational efficiency and earning power, while Market Value of Equity to Total Liabilities (X4) assesses market perception and leverage. Sales to Total Assets (X5) measures asset utilization efficiency.
These traditional components are enhanced by extended metrics introduced by Fung (2023), which provide additional layers of financial analysis. The Cash Ratio (X6) offers insights into immediate liquidity and financial flexibility. Asset Composition (X7) evaluates the quality and efficiency of asset utilization, particularly in working capital management. The Debt Ratio (X8) provides a comprehensive view of financial leverage and long-term solvency, while the Net Profit Margin (X9) measures overall profitability and operational efficiency.
The scoring system employs a sophisticated formula that combines the traditional Z-Score with weighted additional metrics. The traditional Z-Score is calculated as 1.2X1 + 1.4X2 + 3.3X3 + 0.6X4 + 1.0X5, while the extended components are weighted as follows: 0.5 * X6 + 0.3 * X7 - 0.4 * X8 + 0.6 * X9. This enhanced scoring mechanism provides a more nuanced assessment of a company's financial health, incorporating both traditional bankruptcy prediction metrics and modern financial analysis approaches.
The model categorizes companies into three distinct risk zones, each with specific implications for financial stability and required actions. The Safe Zone (Score > 3.0) indicates strong financial health, with low probability of financial distress and suitability for conservative investment strategies. The Grey Zone (Score between 1.8 and 3.0) suggests moderate risk, requiring careful monitoring and additional fundamental analysis. The Danger Zone (Score < 1.8) signals high risk of financial distress, necessitating immediate attention and potential risk mitigation strategies.
In practical application, the model requires systematic and regular monitoring. Users should track the Extended Score on a quarterly basis, monitoring changes in individual components and comparing results with industry benchmarks. Component analysis should be conducted separately, identifying specific areas of concern and tracking trends in individual metrics. The model's effectiveness is significantly enhanced when used in conjunction with other financial metrics and when considering industry-specific factors and macroeconomic conditions.
The technical implementation in Pine Script v6 provides real-time calculations of both traditional and extended scores, offering visual representation of risk zones, detailed component breakdowns, and warning signals for critical values. The indicator automatically updates with new financial data and provides clear visual cues for different risk levels, making it accessible to both technical and fundamental analysts.
However, as noted by Fung (2023), the model has certain limitations that users should consider. It may not fully account for industry-specific factors, requires regular updates of financial data, and should be used in conjunction with other analysis tools. The model's effectiveness can be enhanced by incorporating industry-specific benchmarks and considering macroeconomic factors that may affect financial performance.
References:
Altman, E.I. (1968) 'Financial ratios, discriminant analysis and the prediction of corporate bankruptcy', The Journal of Finance, 23(4), pp. 589-609.
Li, L., Wang, B., Wu, Y. and Yang, Q., 2020. Identifying poorly performing listed firms using data analytics. Journal of Business Research, 109, pp.1–12. doi.org
