US Pre-Market open lineThis simple script draws a horizontal line on the candle from the US-Pre-Market Open at 10.00 a.m. (CET) / at 04.00 a.m. (NYT).
The colour, thickness and the style of the line can be changed.
It can help Price Action Traders to complete their strategy by the price action/reaction on the pre-market-opening resp. on the change of market overlapping.
Indicators and strategies
4/8/15 EMA + Classic & Camarilla PivotsSays it all in the title...4/8/15 EMA + Classic & Camarilla Pivots without setting up difficult choices on TOS. Stay on the right side of the 15. Let it detach from the 8 and follow it up. If you are entangled in the 4/8, time to bail in my humble opinon. For Scalpers and intraday traders.
4/8/15 EMA + Classic & Camarilla PivotsEssentially this is what you can get on TOS but everything included in one chart.
Daily ATR SL/TP Labels on ChartATR-Based Stop Loss & Take Profit Calculator
This script calculates 20% of the Average True Range (ATR) to determine optimal Stop Loss and Take Profit levels. Designed to assist traders in setting precise risk parameters when placing Buy/Sell orders based on daily market volatility.
Key Features:
Computes 20% of ATR value for proportional risk management
Provides dynamic SL/TP levels aligned to current market conditions
Optimised for Daily timeframe analysis to capture full trading day range
Recommended Usage:
Apply on Daily (1D) timeframe for most accurate results, as this captures the complete intraday price movement and provides reliable volatility measurements for position sizing and risk management decisions.
4/8/15 EMA Overlaya simple script to overlay your 4/8/15. If it clears the 8, it usually will raise. If it stays entangled with the 4/8, it rarely breaks above.
ADX FAST and NOICE FREE DIThis tool is designed to identify trend strength and direction earlier than the traditional ADX/DI system.
Instead of relying on the normal Wilder smoothing, this version applies momentum projection to ADX (Fast ADX)
and then filters all directional movement signals through Hull smoothing to minimize market noise.
The result:
• Trends are detected faster
• Pullbacks are filtered more cleanly
• Sideways or weak structures become easy to avoid
Recommended Usage:
• Look for Fast ADX above the threshold to confirm trend environment
• Use Noise-Free +DI and -DI to confirm trend direction (bullish / bearish dominance)
• Background color highlights only when trend + direction are aligned
This is not a buy/sell signal generator by itself; it is best used as a trend and market condition confirmation layer.
Disclaimer:
This script is provided for educational and informational purposes only.
It does not constitute financial advice or a recommendation to buy or sell any security.
Market conditions vary and past performance does not guarantee future results.
Always perform your own analysis and risk management, and trade responsibly.
Trendline Detector - 3 TimeframesThis advanced Pine Script indicator automatically identifies and draws diagonal support and resistance trendlines across three customizable timeframes simultaneously.
Key Features:
Multi-Timeframe Analysis: Configure three independent sets (A, B, C) to analyze different timeframes on a single chart
Smart Pivot Detection: Identifies local minimums and maximums based on open/close prices rather than wicks, reducing false signals from volatile candle shadows
Automatic Trendline Drawing: Calculates ascending support lines from pivot lows and descending resistance lines from pivot highs
Touch Validation: Only displays trendlines that meet your minimum touch requirements, ensuring statistical significance
Customizable Parameters: Full control over lookback period, pivot window size, deviation tolerance, and minimum touches for each timeframe
Visual Pivot Markers: Optional display of all detected pivot points with color-coded arrows (green for lows, red for highs)
Extended Lines: All valid trendlines extend to the right for forward projection
How It Works:
The indicator scans historical bars within your specified lookback period to identify pivot points. It then evaluates all possible trendline combinations, counting how many price points touch each potential line within your deviation tolerance. The trendline with the most touches (meeting your minimum requirement) is displayed.
Parameter Breakdown:
Each set (A, B, C) includes five critical parameters:
Timeframe: The chart timeframe for analysis (e.g., "1" for 1-minute, "15" for 15-minute, "1D" for daily)
Lookback Bars: How many historical bars to scan for pivot points (default: 250). Higher values capture longer-term trends but may increase computation time.
Min Touches: Minimum number of price touches required for a trendline to be considered valid (default: 3). Higher values ensure stronger, more reliable trendlines but may filter out emerging trends.
Deviation %: Percentage tolerance for what constitutes a "touch" (default: 0.1-1.0%). A 0.5% deviation means prices within 0.5% of the theoretical trendline are counted as touches. Lower values create stricter trendlines; higher values are more forgiving.
Pivot Window: Number of bars on each side used to identify local highs/lows (default: 5). A pivot window of 5 means the center bar must be the highest/lowest among 11 bars total (5 left + center + 5 right). Larger values identify more significant pivots but may miss shorter-term turning points.
Display Options:
Show Min/Max Points: Toggle visibility of pivot point markers to see exactly which price levels the algorithm identified as potential trendline anchors.
Perfect For:
Swing traders looking for multi-timeframe confluence zones
Technical analysts who rely on diagonal support/resistance levels
Traders who want automated trendline detection without manual drawing
Anyone seeking to identify trend channels and breakout opportunities
Color Coding:
Support lines are displayed in green with varying transparency, while resistance lines appear in red. Each timeframe set can be independently enabled/disabled based on which chart timeframe you're currently viewing, preventing clutter and maintaining clarity.
Technical Notes:
The indicator uses efficient algorithms to process large datasets while maintaining accuracy. It avoids repainting by only considering confirmed pivot points. The algorithm prioritizes trendlines with more touches and, in case of ties, favors more recent formations with steeper angles for maximum relevance.
Robust Scaled Dema | OquantOverview
The Robust Scaled DEMA indicator is a tool designed for traders seeking to identify potential trend directions in financial markets. It combines the smoothing capabilities of a Double Exponential Moving Average (DEMA) with a robust scaling mechanism to normalize the data, making it more resilient to outliers and extreme price movements. This scaling helps in generating long and short signals based on predefined thresholds, visualized through color-coded plots and bars. The indicator aims to provide a balanced view of market momentum, reducing the impact of noise while highlighting significant shifts in price behavior.
Key Factors/Components
DEMA (Double Exponential Moving Average): Serves as the core smoothing component, reducing lag compared to simple averages by emphasizing recent price action more effectively.
Robust Scaling Mechanism: Utilizes statistical measures like median and interquartile range to normalize the DEMA values, ensuring the indicator is less sensitive to extreme values or price spikes.
Thresholds: User-defined upper and lower levels that trigger long or short signals when the scaled DEMA crosses them.
Visual Elements: Includes plotted lines for the scaled DEMA and thresholds, plus color-coded candlestick bars for intuitive interpretation.
Alerts: Built-in conditions for notifying users of potential entry points for long or short positions.
How It Works
The indicator starts by applying a DEMA to the chosen price source to create a smoothed representation of the market's direction. This smoothed value is then scaled using a robust statistical approach that accounts for the distribution of recent DEMA values, centering it around a median and adjusting for variability to minimize the influence of outliers. The resulting scaled metric is compared against user-set upper and lower thresholds: crossing above the upper suggests a bullish momentum (long signal), while dipping below the lower indicates bearish conditions (short signal). A state variable tracks these conditions to color the chart accordingly, helping traders visualize regime changes. Optional alerts fire on transitions.
For Who Is Best/Recommended Use Cases
This indicator is ideal for traders who employ trend-following or momentum-based strategies and need tools that perform well in non-normal market conditions, such as during high volatility or in assets prone to spikes. Use cases include identifying entry/exit points in trending environments, confirming breakouts, or integrating into multi-indicator systems for added confirmation. Quantitative traders or those backtesting strategies will appreciate its customizable parameters for optimization.
Settings and Default Settings
Source: The price data input for calculations, such as close, open, high, or low. Default: close.
DEMA Length: Controls the period for the DEMA smoothing; shorter values increase responsiveness but may add noise, longer ones provide more lag but smoother signals. Default: 25.
Robust Scaling Length: Defines the lookback period for the scaling statistics; affects how adaptive the normalization is to recent data distributions. Default: 40.
Upper Threshold: The level above which a long signal is triggered; higher values make signals rarer but potentially more reliable. Default: 0.5.
Lower Threshold: The level below which a short signal is triggered; lower values allow for more aggressive bearish detection. Default: 0.
Conclusion
The Robust Scaled DEMA offers an outlier-resistant alternative to traditional moving average indicators, empowering traders to navigate volatile markets. By blending exponential smoothing with statistical robustness, it provides actionable insights into trend shifts while minimizing false positives from extreme events..
⚠️ Disclaimer: This indicator is intended for educational and informational purposes only. Trading/investing involves risk, and past performance does not guarantee future results. Always test and evaluate indicators/strategies before applying them in live markets. Use at your own risk.
Dual EMA Status Table (15m & 30m)It checks whether the 9 EMA is above or below the 21 EMA on:
the 15-minute chart, and
the 30-minute chart,
and then displays their alignment in a table:
Timeframe 9 vs 21 Status
15 min 9 > 21 Bullish
30 min 9 > 21 Bullish
CONFIRM ✅ Bullish
✅ “Bullish Confirm” → 9 EMA > 21 EMA on both → uptrend bias
❌ “Bearish Confirm” → 9 EMA < 21 EMA on both → downtrend bias
⚠️ “Mixed” → 15 m and 30 m disagree → stay neutral or wait
💡 How to Use It as a Trading Signal
You can treat it as a buy/sell framework with confirmation rules:
🔹 Buy (Long) bias
Table shows ✅ Bullish confirmation
9 EMA > 21 EMA on both timeframes
Ideally, price pulls back near one of the EMAs and then bounces
You could enter after a bullish candle close above the EMAs
📍 Example entry rule:
Enter long when “✅ Bullish” appears and price closes above both EMAs on the 15 min chart.
Stop-loss below the 21 EMA or recent swing low.
🔹 Sell (Short) bias
Table shows ❌ Bearish confirmation
9 EMA < 21 EMA on both timeframes
Price retraces upward and rejects near EMAs
📍 Example entry rule:
Enter short when “❌ Bearish” appears and price closes below both EMAs on the 15 min chart.
Stop-loss above 21 EMA or recent swing high.
Volume HeatMap Divergence [BigBeluga]🔵 OVERVIEW
The Volume HeatMap Divergence is a smart volume visualization tool that overlays normalized volume data directly on the chart. Using a color heatmap from aqua to red, it transforms raw volume into an intuitive scale — highlighting areas of weak to intense market participation. Additionally, it detects volume-based divergences from price to signal potential reversals or exhaustion zones. Combined with clear visual labeling, this tool empowers traders with actionable volume insights.
🔵 CONCEPTS
Normalized Volume Heatmap : Volume is normalized to a 0–100% scale and visually represented as candles below the chart.
float vol = volume / ta.percentile_nearest_rank(volume, 1000, 100) * 100
Bar Coloring : Price candles are dynamically colored based on volume intensity.
Volume Divergence Logic :
Bullish Divergence : Price forms a lower low, but volume forms a higher low.
Bearish Divergence : Price forms a higher high, but volume forms a lower high.
Dynamic Detection Range : Customizable range ensures divergence signals are meaningful and not random.
Volume Labels : Additional info on divergence bars shows both the actual volume and its normalized % score.
🔵 FEATURES
Volume Heatmap Plot : Normalized volume values colored using a smooth gradient from aqua (low) to red (high).
Price Bar Coloring : Candlesticks on the main chart adopt the same heatmap color based on volume.
Divergence Detection :
Bullish divergence with label and low marker
Bearish divergence with label and high marker
Dual Divergence Labels :
On the volume plot : Direction (Bull/Bear), raw volume, and normalized %
On the price chart : Shape labels showing "Bull" or "Bear" at local highs/lows
Custom Inputs :
Divergence range (min & max), pivot detection distance (left/right)
Toggle to show/hide divergence labels, volume, and % text
Clear Bull/Bear Coloring : Fully customizable label and line colors for both bullish and bearish signals.
🔵 HOW TO USE
Use the indicator as an overlay to monitor real-time volume strength using the heatmap color.
Watch for divergence markers:
Bullish divergence: Candle shows higher volume while price makes a new low
Bearish divergence: Candle shows lower volume while price makes a new high
Use the volume info labels to verify the context of divergence:
Actual volume at divergence candle
Normalized % of that volume compared to past 1000 bars
Adjust pivot sensitivity using "Pivot Left" and "Pivot Right" to tune signal frequency and lag with a right pivot length.
Use divergence zones as early warnings for potential reversals or trend shifts.
Disable or customize labels in settings depending on your charting preferences.
🔵 CONCLUSION
Volume HeatMap Divergence merges heatmap-style volume visualization with intelligent divergence detection — giving traders a clean yet powerful edge. By revealing hidden disconnections between price and participation, it helps users spot exhaustion moves or hidden accumulation zones before the market reacts. Whether you’re a scalper, swing trader, or intraday strategist, this tool offers real-time clarity on who’s in control behind the candles.
RSI Multi-Timeframe HeatmapThe RSI Multi-Timeframe Heatmap displays the Relative Strength Index (RSI) across multiple timeframes in a single, easy-to-read visual grid.
It allows traders to instantly assess RSI conditions (overbought, oversold, neutral) across short-, medium-, and long-term perspectives — all at once.
Each column represents a different timeframe, and each cell is color-coded based on the RSI value.
The active cell in each column shows the current RSI for that timeframe, with both the numerical value and a background color that corresponds to RSI intensity.
Features
Displays RSI values for multiple timeframes simultaneously.
Includes the following timeframes:
5m, 15m, 30m, 45m, 1h, 2h, 3h, 4h, 6h, 8h, 12h, 23h, 1d, 1w, and the current chart timeframe.
Color-coded RSI heatmap with intuitive gradient from cold (oversold) to hot (overbought).
Uses closing prices for RSI calculation.
Table layout updates in real-time on every bar.
Highly visual and ideal for multi-timeframe momentum analysis.
Each timeframe has 3 values - current, 7 bars ago and 14 bars ago.
Performance (Improved + Position & Size) This indicator displays a performance heat-table on the chart, showing percentage returns for multiple timeframes such as 1W, 1M, 3M, 6M, 9M, 1Y and To-Date periods (MTD / QTD / YTD style).
The goal is to quickly visualize how the current symbol has performed across different timeframes in a compact and readable format.
RSI Multi-Timeframe HeatmapThe RSI Multi-Timeframe Heatmap displays the Relative Strength Index (RSI) across multiple timeframes in a single, easy-to-read visual grid.
It allows traders to instantly assess RSI conditions (overbought, oversold, neutral) across short-, medium-, and long-term perspectives — all at once.
Each column represents a different timeframe, and each cell is color-coded based on the RSI value.
The active cell in each column shows the current RSI for that timeframe, with both the numerical value and a background color that corresponds to RSI intensity.
Features
Displays RSI values for multiple timeframes simultaneously.
Includes the following timeframes:
5m, 15m, 30m, 45m, 1h, 2h, 3h, 4h, 6h, 8h, 12h, 23h, 1d, 1w, and the current chart timeframe.
Color-coded RSI heatmap with intuitive gradient from cold (oversold) to hot (overbought).
Uses closing prices for RSI calculation.
Table layout updates in real-time on every bar.
Highly visual and ideal for multi-timeframe momentum analysis.
Each timeframe has 3 values - current, 7 bars ago and 14 bars ago.
Rage of UltronRage of Ultron - Multi-Timeframe Smart Money Trading System
Advanced Confluence-Based Trading Indicator
Rage of Ultron is a comprehensive multi-timeframe trading system that combines Smart Money Concepts (SMC) with macro market context, RSI divergences, liquidity sweeps, and volume analysis to identify high-probability setups across all markets.
Key Features
Multi-Timeframe Alignment
* Weekly Bias - Directional trend context
* Daily Structure - Order Blocks and Fair Value Gaps
* 4H Confirmation - Entry timing and execution
* Real-time MTF alignment scoring (🟢 Bull Aligned / 🔴 Bear Aligned / 🟡 Mixed)
Smart Money Concepts
* Order Blocks (OB) - Institutional entry zones with visual clarity
* Fair Value Gaps (FVG) - Price imbalances and retracement magnets
* Change of Character (CHoCH) - Market structure breaks (▲▼)
* Liquidity Sweeps - Stop hunt detection before reversals (💧)
Technical Analysis
* RSI Divergences - Regular and hidden divergences with zones (◆)
* RSI Swing Failure Patterns - Grade-A reversal setups (★)
* Automatic Fibonacci - Dynamic retracements and extensions
* Volume Impulse Detection - Weighted confirmation signals
Macro Market Radar
* DXY - Dollar strength assessment
* BTC Dominance - Crypto market risk gauge
* USDT Dominance - Stablecoin flow analysis
* Combined risk environment scoring
Confluence Scoring System (0-7)
Quantified setup quality with three alert tiers:
* Tier 1 (Score 6-7): Full confluence + sweep + volume + MTF alignment
* Tier 2 (Score 5): High confluence + volume or sweep
* Tier 3 (Score 4): Standard confluence setups
"Rage" Volume State
* 🟢 RAGE PULSE - Explosive volume spike (score 6+ trigger)
* ⚡ Active - Strong volume with good confluence
* 🟡 Stable - Moderate volume conditions
* 🔴 Dormant - Low volume, wait for confirmation
Visual Design
* Clean Zone Rendering - Persistent OB/FVG boxes with limited extension
* Signal Bar Highlighting - Colored fills and contrasting borders for instant recognition
* Dynamic Symbol Placement - ATR-based offset prevents overlap
* Comprehensive Panel - Real-time macro + trade metrics in one view
* Toggleable Legend - Learn signals, hide once familiar
How to Use
1. Set Your Timeframes - Default 1W/1D/4H works for swing trading
2. Monitor Macro Environment - Check risk-on/off context
3. Wait for Confluence ≥4 - Let multiple signals align
4. Enter on Tier 1/2 Alerts - Best probability setups
5. Use Fib Extensions for Targets - Systematic profit taking
Customizable Settings
* Multi-timeframe periods
* RSI length and divergence sensitivity
* Liquidity sweep parameters
* Fibonacci swing lookback
* Volume thresholds
* Shape offset multiplier
* Visual toggles (Fibs, extensions, legend)
Built-in Alert System
Three-tier alert structure lets you filter by setup quality. Set alerts for Tier 1 only for highest conviction trades, or include Tier 2 for more opportunities.
Best Practices
* Use on clean timeframes - 1H+ for less noise
* Combine with support/resistance - Zones near key levels = highest probability
* Respect the macro - Don't fight extreme risk-off environments
* Wait for the full stack - Best trades have 4+ aligned signals
* Practice on demo first - Learn signal behavior in your market
Works On
* Cryptocurrency (spot & futures)
* Forex pairs
* Stock indices
* Individual stocks
* Commodities
Note: This indicator identifies potential setups but does not guarantee profits. Always use proper risk management, position sizing, and stops. Past performance does not predict future results.
Created by cdotgnz | For educational purposes
HTF MACD Dual Zero Cross + First EMA PullbackThis script aims to get the trader on the right side of the momentum and get better entries by only alerting when price pulls back to the trader's specified EMA.
This script isnt meant to catch tops or bottoms but to trade with the momentum once it starts.
This script will alert whe nthe MACD and signal line both cross the zero line, after that the script waits for price to make a pullback and then alet either a sell or buy. Ive found this works best when you trade with the trend on a higher timeframe.
You can use whatever MACD settings you prefer and really customize this to the asset youre trading.
You can also change whether you get an alert based on a wick touch of the EMA or a candle close.
Low Volume Detector//@version=5
indicator("Low Volume Detector", overlay=true)
// Parameters
length = input.int(20, title="Volume MA Length")
threshold = input.float(0.5, title="Low Volume Threshold (as % of MA)", minval=0.1, step=0.1)
// Volume logic
vol = volume
volMA = ta.sma(vol, length)
lowVol = vol < (volMA * threshold)
// Plot background when volume is low
bgcolor(lowVol ? color.new(color.red, 85) : na, title="Low Volume Background")
// Optional: plot volume and its MA in separate pane
plot(vol, title="Volume", color=color.gray, style=plot.style_columns)
plot(volMA, title="Volume MA", color=color.orange)
Put Option Profits inspired by Travis Wilkerson; SPX BacktesterPut Option Profits — Travis Wilkerson inspired. This tester evaluates a simple monthly SPX at-the-money credit-spread timing idea: enter on a fixed calendar rule (e.g., 1st Friday or 8th day with business-day shifting) at Open or Close, then exit exactly N calendar days later (first tradable day >= target, at Close). A trade is marked WIN if price at exit is above the entry price (1:1 risk proxy).
The book suggests forward testing 60-day and 180-day expirations to prove the concept. This tool lets you backtest both (and more) to see what actually works best. In the book, profits are taken when the spread reaches ~80% of max credit; losers are left to expire and cash-settle. This backtester does not model early profit-taking—every trade is held to the configured hold period and evaluated on price vs entry at the exit close. Think of it as a pure “set it and forget it” stress test. In live trading, you can still follow Travis’s 80% take-profit rule; TradingView just doesn’t simulate that here. Happy trading!
Features:
Schedule: Day-of-Month (with Prev/Next business-day shift, optional “stay in month”) or Nth Weekday (e.g., 1st Friday).
Entry timing: Open or Close.
Exit: N calendar days later at Close (holiday/weekend aware).
Filters: Optional EMA-200 “risk-on” filter.
Scope: Date range limiter.
Visuals: Entry/exit bubbles (paired colors) or simple win/loss dots.
Table: Overall Win% and N (within range).
Alerts: Entry alert (static condition + dynamic alert() message).
How to use:
[* ]Choose Start Mode (NthWeekday or DayOfMonth) and parameters (e.g., 1st Friday or DOM=8, PrevBizDay).
Pick Entry Timing (Open or Close).
Set Days In Trade (e.g., 150).
(Optional) Enable EMA filter and set Date Range.
Turn Bubbles on/off and/or Dots on/off.
Create alert:
Simple ping: Condition = this indicator -> Monthly Entry Signal -> “Once per bar” (Open) or “Once per bar close” (Close).
Rich message: Condition = this indicator -> Any alert() function call.
Notes:
Keep DOM shift in same month: when a DOM falls on a weekend/holiday, PrevBizDay/NextBizDay shift will stay inside the month if enabled; otherwise it can spill into the prior/next month. (Ignored for NthWeekday.)
Credits: Concept sparked by “Put Option Profits – How to turn ten minutes of free time into consistent cash flow each month” by Travis Wilkerson; this script is a neutral research tool (not financial advice).
Slick Strategy Weekly PCS TesterInspired by the book “The Slick Strategy: A Unique Profitable Options Trading Method.” This indicator tests weekly SPX put-credit spreads set below Monday’s open and judged at Friday’s close.
WHAT IT DOES
• Sets weekly PCS level = Monday (or first trading day) OPEN − your offset; win/loss checked at Friday close.
• Optional core filter at entry: Price ≥ 200-SMA AND 10-SMA ≥ 20-SMA; pause if Price < both 10 & 20 while > 200.
• Reference modes: Strict = Mon OPEN vs Fri SMAs (no repaint); Mid = Mon OPEN vs Mon SMAs
KEY INPUTS
• Date range (Start/End) to limit backtest window.
• Offset mode/value (Points or Percent).
• Entry day (Monday only or first trading day).
• Core filters (On/Off) and Strict/Mid reference.
• SMA settings (source; 10/20/200 lengths).
• Table settings (position, size, padding, border).
VISUALS
• Active week line: Orange = trade taken; Gray = skipped.
• History: Green = win; Red = loss; Purple = skipped.
• Optional week bands highlight active/win/loss/skipped weeks (adjustable opacity).
TABLE
• Shows Date range, Trades, Wins, Losses, Win rate, and Active level (this week’s PCS price).
NOTES
• PCS level freezes at week open and persists through the week.
Major exchages total Open interest & Long/Short OI trends📊 Indicator: Major Exchanges Total OI & Long/Short Trends
This Pine Script™ indicator is designed to provide a comprehensive analysis of Open Interest (OI) and Long/Short position trends across major cryptocurrency exchanges (Binance, Bybit, OKX, Bitget, HTX, Deribit). It serves as a powerful tool for traders seeking to understand market liquidity, participant positioning, and overall market sentiment.
🔑 Key Features and Functionalities
Aggregated Multi-Exchange Open Interest (OI):
Consolidates real-time Open Interest data from user-selected major cryptocurrency exchanges.
Provides a unified view of the total OI, offering insights into the collective market liquidity and the aggregate size of participants' open positions.
Visualized Combined OI Candles:
Presents the aggregated total OI data in a candlestick chart format.
Displays the Open, High, Low, and Close of the combined OI, with color variations indicating increases or decreases from the previous period. This enables intuitive visualization of OI trend shifts.
Estimated Long/Short OI and Visualization:
Calculates and visualizes estimated Long and Short position Open Interest based on the total aggregated OI data.
Estimation Logic:
Employs a sophisticated logic that considers both price changes and OI fluctuations to infer the balance between Long and Short positions. For instance, an increase in both price and OI may suggest an accumulation of Long positions, while a price decrease coupled with an OI increase might indicate growing Short positions.
Initial 50:50 Ratio:
The estimation for Long/Short OI begins with an assumption of a 50:50 ratio at the initial data point available for the selected timeframe. This establishes a neutral baseline, from which subsequent price and OI changes drive the divergence and evolution of the estimated Long/Short balance.
Flexible Visualization Options:
Allows users to display Long/Short OI data in either line or candlestick styles, with customizable color schemes. This flexibility aids in clearly discerning bullish or bearish positioning trends.
💡 Development Background
The development of this indicator stems from the critical importance of Open Interest data in the cryptocurrency derivatives market. Recognizing the limitations of analyzing individual exchange OI in isolation, the primary objective was to integrate data from leading exchanges to offer a holistic perspective on market sentiment and overall positioning dynamics.
The inclusion of the Long/Short position estimation feature is crucial for deciphering the specific directional biases of market participants, which is often not evident from raw OI data alone. This enables a deeper understanding of how positions are being accumulated or liquidated, moving beyond simple OI change analysis.
Furthermore, a key design consideration was to leverage the characteristic where the indicator's data start point dynamically adjusts with the chart's timeframe selection. This allows for the analysis of short-term Long/Short trends on shorter timeframes and long-term trends on longer timeframes. This inherent flexibility empowers traders to conduct analyses across various time scales, aligning with their diverse trading strategies.
🚀 Trading Applications
Leveraging Combined Open Interest (OI):
Trend Confirmation: A sustained increase in total OI signifies growing market interest and capital inflow, potentially confirming the strength of an existing trend. Conversely, decreasing OI may suggest diminishing participant interest or widespread position liquidation.
Validation of Price Extremes: If price forms a new high but OI fails to increase or declines, it could signal a potential trend reversal (divergence). Conversely, a sharp increase in OI during a price decline might indicate a surge in short positions or renewed selling pressure.
Identifying Volatility Triggers: Monitoring rapid shifts in OI during significant news events or market catalysts can help assess immediate market reactions and liquidity changes.
📈Utilizing Long/Short OI Trends
Assessing Market Bias: A sustained dominance or rapid increase in Long OI suggests a prevalent bullish sentiment, which could inform decisions to enter or maintain long positions. The inverse scenario indicates bearish sentiment and potential short entry opportunities.
Anticipating Squeezes: The indicator can help identify scenarios conducive to short or long squeezes. Excessive short positioning followed by a price uptick can trigger a short squeeze, leading to rapid price appreciation. Conversely, an oversupply of long positions preceding a price drop can result in a long squeeze and sharp declines.
Divergence Analysis: Divergences between price action and Long/Short OI estimates can signal potential trend reversals. For example, if price is rising but the increase in Long OI slows down or Short OI begins to grow, it may suggest weakening buying pressure.
🕔Timeframe-Specific Trend Analysis:
Shorter Timeframes (e.g., 1m, 5m, 15m): Ideal for identifying short-term shifts in participant positioning, beneficial for day trading and scalping strategies. Provides insights into immediate market reactions to price movements.
Longer Timeframes (e.g., 1h, 4h, Daily): Valuable for evaluating broader positioning trends and the sustainability or potential reversal of medium-to-long-term trends. Offers a macro perspective on Long/Short dynamics, suitable for swing trading or long-term investment strategies.
This indicator integrates complex market data, provides nuanced Long/Short position estimations, and offers multi-timeframe analytical capabilities, empowering traders to make more informed and strategic decisions.
Inverse Fair Value Gaps (Wicks) v6 — Sticky + IFVG
This script identifies Fair Value Gaps (FVGs) and Inverse FVGs (IFVGs) using wicks (high/low) rather than candle bodies. It helps traders identify price gaps that could act as potential support/resistance or trigger reversals.
FVGs: Unfilled gaps in price caused by rapid price movement.
IFVGs: Occur when price breaks beyond a previous FVG, signaling potential continuation or reversal
Direction LineThis is a simplified indicator for the TradingView platform, intended for beginner traders. It draws a line that follows the candle's closing price, coloring it green on an uptick (close > open) and red on a downtick. The indicator helps visualize the market impulse direction based on the basic concept of pivot levels, without unnecessary elements such as labels, alerts, or additional levels. Ideal for those who want to quickly understand the trend without data overload.
MACD crossover while RSI Oversold/Overbought# MACD Crossover with RSI Overbought/Oversold Indicator Explained
## Indicator Overview
This is a trading signal system that combines two classic technical indicators: **MACD (Moving Average Convergence Divergence)** and **RSI (Relative Strength Index)**. Its core logic is: MACD crossover signals are only triggered when RSI is in extreme zones (overbought/oversold), thereby filtering out many false signals and improving trading accuracy.
## Core Principles
### 1. **Dual Confirmation Mechanism**
This indicator doesn't use MACD or RSI alone, but requires both conditions to be met simultaneously:
- **Short Signal (Orange Triangle)**: MACD bearish crossover (fast line crosses below signal line) + RSI was overbought (≥71)
- **Long Signal (Green Triangle)**: MACD bullish crossover (fast line crosses above signal line) + RSI was oversold (≤29)
### 2. **RSI Memory Function**
The indicator checks the RSI values of the current and past 5 candlesticks. As long as any one of them reaches the overbought/oversold level, the condition is satisfied. This design avoids overly strict requirements, as RSI may have already left the extreme zone before the MACD crossover occurs.
```pine
wasOversold = rsi <= 29 or rsi <= 29 or ... or rsi <= 29
wasOverbought = rsi >= 71 or rsi >= 71 or ... or rsi >= 71
```
## Parameter Settings
### MACD Parameters
- **Fast MA**: 12 periods (adjustable 7-∞)
- **Slow MA**: 26 periods (adjustable 7-∞)
- **Signal Line**: 9 periods
### RSI Parameters
- **Oversold Threshold**: 29 (traditional 30)
- **Overbought Threshold**: 71 (traditional 70)
- **Calculation Period**: 14
## Visual Elements
### 1. **Signal Markers**
- 🔻 **Orange Downward Triangle**: Appears above the candlestick, labeled "overbought", indicating a shorting opportunity
- 🔺 **Green Upward Triangle**: Appears below the candlestick, labeled "oversold", indicating a long opportunity
### 2. **Price Level Lines**
- **Orange Dashed Line**: Extends rightward from the high of the short signal, serving as a potential resistance level
- **Green Dashed Line**: Extends rightward from the low of the long signal, serving as a potential support level
Each time a new signal appears, the old level line is deleted, keeping only the most recent reference line.
## Trading Logic Explained
### Short Signal Scenario
1. Price rises, RSI surges above 71 (market overheated)
2. Momentum subsequently weakens, MACD fast line crosses below signal line
3. Indicator draws an orange triangle at the high, alerting to reversal risk
4. Orange dashed line marks the high point of the short entry position
### Long Signal Scenario
1. Price falls, RSI drops below 29 (market oversold)
2. Selling pressure exhausted, MACD fast line crosses above signal line
3. Indicator draws a green triangle at the low, suggesting a rebound opportunity
4. Green dashed line marks the low point of the long entry position
## Advantages and Limitations
### ✅ Advantages
- **Filters Noise**: Reduces false signals through dual confirmation
- **Captures Reversals**: Catches trend reversals in extreme conditions
- **Visual Clarity**: Level lines help identify support/resistance
- **Built-in Alerts**: Can set up message push notifications
### ⚠️ Limitations
- **Lag**: Both indicators are lagging, signals may be delayed
- **Poor Performance in Ranging Markets**: Prone to whipsaws during consolidation
- **Needs Other Analysis**: Should not be the sole decision-making basis
- **Parameter Sensitivity**: Different markets and timeframes may require parameter adjustments
## Practical Trading Suggestions
1. **Confirm Trend Context**: Counter-trend signals carry high risk in strong trending markets
2. **Combine with Candlestick Patterns**: Confirm with patterns (such as engulfing, hammer candles)
3. **Set Stop Losses**: Use level lines as stop-loss references (long stop below green line, short stop above orange line)
4. **Watch Volume**: Signals accompanied by high volume are more reliable
5. **Multi-Timeframe Verification**: Signals appearing simultaneously on daily and 4-hour charts are more credible
## Summary
This indicator follows the "mean reversion from extremes" philosophy, seeking reversal opportunities when market sentiment becomes excessive. It's suitable for auxiliary judgment, particularly in swing trading and position trading strategies. But remember, no indicator is perfect—always combine risk management and multi-dimensional analysis when making trading decisions
