Mulakan

Cari dalam skrip untuk "volume profile"

Angled Volume Profile [feeble]BETA VERSION this indicator maps volume as brightness over an SMA. the brightness then fades over time. It draws 30 bands, so you will need to load multiple instances to get a large picture. Configure the settings, then copy and paste the indicator, modifying only the vertOffset attribute each time Patience, bruh. This takes a long time load. Chrome runs it faster than Firefox. ¯\_(ツ)_/¯ Please let me know if you can think of how to optimize it. Feedback is appreciated is you use it :) sample with 6 instances: settings: useLog: enable if you are using a log graph rowHeight: resolution of rows. vertOffset: normally if you have 5 instances, the values will be -2,-1,0,1,2 fadeAmt: how long it takes for volume to fade once it is picked up volumeMin and Max: the volume range displayed. volumeResolution: time resolution at which volume data is collected - this is why the fadeAmt is so high, and why the graph runs out of data after a period back EMA length: its Actually SMA but I wrote it wrong. eg. for a 20 day period on a 15min chart you go ( 20 days x 24 hrs x 4 quarter hours = 1920) - I hope to automate this in a future version :p
Penunjuk Pine Script®
oleh gamazama
25
FHX Bands (VWMA BB)This study is an optimized version of Bollinger Bands based on volume weighted data points: more volume on a bar gives those prices a higher impact. FHX bands base on the assumptions of auction market theory (e.g., as does volume profiling). Bollinger Bands implicitly assume a uniform probability mass function for data points and consider only the - somewhat arbitrary - close price. In contrast to this, FHX bands take all four available data points into account (OHLC) and use the volume at each candle* to define a probability mass function in order to compute mean and standard deviation. As an indicator, FHX bands could be used in the same way as BB to facilitate or confirm Break-Out trades and identify strong momentum moves. Settings for the standard deviation multiplier should be interpreted as follows (following the 68–95–99.7 rule): x standard deviation set to 1: ~32% chance that a move outside the bands is by chance x standard deviation set to 2: ~5% chance that a move outside the bands is by chance x standard deviation set to 3: ~0.3% chance that a move outside the bands is by chance This however assumes a fairly solid period of consolidation beforehand (visible through notable contraction of the bands) and a normal distribution of values within that consolidation period. Therefore users need to experiment within their time frame in order to identify a Length setting that suits their needs. Personally, I set Length to 21 or lower, depending on my targeted time frame. Note that the indicator does not test for normality in any way; you can, however, use a quick visual test using the fixed range volume profile indicator to increase its reliability. Good luck and mind your risk -fhx * of course tick data would be the real deal, but we work with what we have
Penunjuk Pine Script®
oleh fheinrichs
2
DriftLine - Pivot Open Zones [SiDec]What is DriftLine? DriftLine is your visual roadmap for navigating the markets — designed for both day traders and swing traders who want to understand where price truly matters. It automatically plots the most meaningful price levels on your chart: dOpen → today’s open pdOpen → yesterday’s open bpdOpen → two days ago wOpen → this week’s open mOpen → this month’s open yOpen → this year’s open These are not just lines — they are the milestones big traders, funds, and algos watch to measure bias, performance, and momentum across timeframes. DriftLine also layers on: Fib zones (50%, 61.8%, 78.6%) between today’s and yesterday’s opens — highlighting natural pullback or continuation areas. Fade bands around monthly and yearly opens — showing where the market may be overextended, exhausted, or ripe for reversal. Optional % distance labels — letting you instantly see how stretched or compressed price is relative to key opens. How to Use DriftLine 1️⃣ Daily setups: Trade with the daily bias (dOpen vs. pdOpen). Use the fib pocket as a pullback zone or continuation platform. 2️⃣ Weekly trends: Watch wOpen breaks + retests — often the start of powerful multi-day moves. 3️⃣ Monthly & yearly pivots: Treat mOpen and yOpen as heavyweight macro levels — they shape sentiment and direction. 4️⃣ Fade bands: Spot reactions at the outer bands around mOpen and yOpen — these zones often mark where trends pause or reverse. Why Are Daily Opens So Important? Many traders overlook dOpen (today’s open), pdOpen (yesterday’s open) and bpdOpen (before previous daily open) — but they’re the heartbeat of intraday trading. Here’s why they matter: 🔷 Above dOpen → bullish bias. The market is paying more than it opened — intraday momentum leans long. 🔷 Below dOpen → bearish bias. We’re under today’s open — cautious, risk-off, or short setups. 🔷 pdOpen/bpdOpen as magnet & target. Even in strong trends, price often revisits yesterday’s open. It can act as support, resistance, or a key flip level. 🔷 The Fib pocket between dOpen and pdOpen. The 50–78.6% zone is a dynamic battleground. Watch for price to bounce, reverse, or break through here. In short: dOpen and pdOpen are your intraday compass, showing you whether you’re trading with or against the day’s flow. Why Are Monthly Opens So Powerful? The monthly open (mOpen) is a macro anchor for institutional traders. It answers: ✅ Are we green or red for the month? ✅ Are big funds defending long exposure, or trimming risk? 🔷 Above mOpen = bullish tone, momentum follows. 🔷 Below mOpen = caution, risk-off, defensive market. You’ll often see sharp reactions at mOpen — even when lower timeframes look messy. Aligning your intraday or swing trades with the monthly bias improves your edge dramatically. Why Is the Yearly Open (yOpen) Critical? The yearly open (yOpen) is the king of all opens — the most powerful macro line on the chart. Big funds, asset managers, and long-term traders benchmark everything against yOpen: 🔷 Above yOpen → bullish year tone. Funds are green on the year; dips are often bought aggressively. 🔷 Below yOpen → bearish year tone. Caution dominates; rallies tend to be sold or fade. 🔷 Sharp reactions at yOpen. Expect explosive moves or violent rejections when price approaches this level — it’s where macro players act. And when price hits the fade bands around yOpen? It's a prime territory for reversals or profit-taking. How to Add DriftLine to Your Chart ✅ Easiest way → Go to my TradingView profile, open the Scripts tab, and ⭐ Add to Favourites. Then, on your chart: 1️⃣ Click Indicators → Favourites → select DriftLine 2️⃣ Done — you’re live! Can I Customise It? Absolutely! You can: 🎨 Change line colours and thickness. 🎨 Pick fade band colours to match your theme. 🎨 Adjust fade zone width (e.g., 0.5% or 1%). 🎨 Toggle % distance labels on/off for a clean or detailed view. ⚡ Pro Tip: Use DriftLine With Confluence! ⚡ DriftLine is not a buy/sell signal tool. It’s your map — but you need your own compass. Combine it with: Fibonacci retracements & extensions Elliott Wave patterns Order flow or volume profile Momentum or trend indicators Other tools When multiple tools align at a DriftLine level, that’s where the magic happens — and where the highest-probability trades live. Key Takeaway DriftLine doesn’t predict the future — it frames the battlefield. It highlights where the real action is happening: Where price flips, where traders fight, and where momentum builds. Use it as your market map, combine it with your favourite strategies, and let it sharpen your decisions. 🌊 Read the currents. Trade the flow. Stay sharp, stay patient and trade with clarity. Happy trading!

Penunjuk Pine Script®
oleh SiDec
Market Sessions & Volume Profile [A0A_Indicator]Description: This advanced chart overlay is designed for traders who want maximum clarity in price formation and market structure. The tool visualizes the true market activity within individual sessions using multi-zonal approaches. It offers highly distinctive levels for both historically relevant and real-time trading ranges, all in a dynamic, adaptive visual structure. What makes it unique: Multiple layered price acceptance areas: Several tiers of market activity are shown, with each zone individually highlighted for optimal pattern recognition. Session-adaptive boundaries: The displayed ranges adjust automatically depending on the trading session you select, for optimal relevance. Precision liquidity markers: A central focus level is always marked and stands out clearly against the chart background. Real-time adaptive: The profile responds immediately as new market data arrives, providing up-to-date structure and context. Visual customization: All graphical features can be shown or hidden to match your personal analytical style. Who should use this: Anyone seeking to identify genuine value consensus, rejection extremes, and price memory zones within global trading hours—whether for intraday or swing analysis.
Penunjuk Pine Script®
oleh A0A_Indicator
RSI with Trend LinesThe RSI with Trend Lines indicator is a tool designed to analyze the behavior of the Relative Strength Index (RSI) combined with dynamic trend lines. This indicator not only provides the standard RSI reading but also identifies pivot points on the RSI and draws bullish and bearish trend lines based on these points. It also includes customizable options for adjusting trend lines, displaying the RSI moving average, and highlighting key levels such as overbought, oversold, and the center line. This indicator is ideal for finding and identifying clear trends in the RSI and taking advantage of market breakout or consolidation signals. It also includes a table with the POC value, which represents the price level at which the most trading activity has occurred, indicating the highest liquidity and highest trading volume. Key Features: 1. Basic RSI: • Calculates the RSI using a configurable period length (default 14). • Colors the RSI based on its direction (green for rising, red for falling) and its position relative to the center line (50). 2. Key Levels: • Displays overbought (70 and 80), oversold (20 and 30), and the center line (50) levels for easy visual interpretation. 3. RSI Moving Average: • Enables and configures an RSI moving average (SMA, EMA, WMA, or ALMA) to smooth out fluctuations and detect clearer trends. 4. Dynamic Trend Lines: • Identifies pivot points on the RSI and draws bullish and bearish trend lines. • Trend lines can be extended into the future or limited to the visible range. • Includes options to display broken lines (trends that are no longer valid) and customize the style (solid or dashed). 5. Pivot Points: • Displays the high and low pivot points on the chart for a better understanding of trend changes. 6. Advanced Customization: • Adjust the pivot point period. • Control the number of pivot points to consider for trend lines. • Customize the line thickness and style. How to Use the Indicator: 1. RSI Interpretation: • Overbought Zone (RSI > 70): Indicates that the asset may be overvalued and could correct downward. • Oversold Zone (RSI < 30): Suggests that the asset may be undervalued and could rebound. • Centerline Crossover (50): A cross above 50 indicates bullish strength, while a cross below suggests weakness. 2. Trend Lines: • Bullish Lines: Drawn when the RSI forms ascending low pivot points. These lines represent dynamic support. • Bearish Lines: These are drawn when the RSI forms descending high pivot points. These lines represent dynamic resistance. • Broken Lines: When a trend line becomes invalid (the RSI breaks the line), they are displayed in a dotted style to highlight the breakout. 3. Possible Trading Signals: • Buy: When the RSI breaks an upward downtrend line. • Sell: When the RSI breaks a downward uptrend line. • Trend Confirmation: When the RSI stays within a valid trend line, it suggests that the current trend is strong. 4. A chart with the POC value: • The point of control is a price level at which the highest trading volume occurs in a given time period. It is a key component of the Volume Profile indicator, which displays volume by price. • Use of the POC in trading: • The POC is used to identify areas of high interest and liquidity for trading. • The POC provides information about the equilibrium point where buyers and sellers are most evenly matched. • Therefore, it can be considered a zone of interest, meaning it can act as support or resistance.
Penunjuk Pine Script®
oleh OskarGallard
17
Synthetic OrderBookHow to Use the Enhanced Synthetic OrderBook Indicator This indicator creates a synthetic representation of market order book data using price action, volume, and other technical factors. It's designed to help you identify significant market imbalances and potential price reversals, especially useful for crypto trading. Overview The Enhanced Synthetic OrderBook provides three different view modes, each offering unique insights into market conditions: 1. **Order Book View** - Shows simulated order book depth at different price levels 2. **Delta View** - Displays the imbalance between buying and selling pressure 3. **Liquidation View** - Highlights potential liquidation events that could drive price movements How to Use Each View Mode Order Book View This view simulates what you would see in an exchange order book, showing bids (buy orders) in green and asks (sell orders) in orange/red. **How to interpret:** - **Green bars (bids)**: Represent buying interest at different price levels below the current price - **Red bars (asks)**: Represent selling interest at different price levels above the current price - **Bar height**: Taller bars indicate stronger buying/selling interest - **Threshold lines**: The green line shows the bullish threshold, while the red line shows the bearish threshold **Trading signals:** - When green bars (bids) consistently exceed the bullish threshold, consider buying - When red bars (asks) consistently exceed the bearish threshold, consider selling - Look for imbalances where bids are significantly larger than asks (or vice versa) Delta View This view shows the difference between buying and selling pressure across different price ranges. It's more focused on the imbalance rather than raw order book depth. **How to interpret:** - **Green bars**: Positive delta (more buying than selling pressure) - **Red bars**: Negative delta (more selling than buying pressure) - **Threshold lines**: Indicate significant levels of imbalance - **Zero line**: Neutral point between buying and selling pressure **Trading signals:** - When delta stays consistently above the bullish threshold, it suggests strong buying pressure - When delta stays consistently below the bearish threshold, it suggests strong selling pressure - Changes in direction of the delta can signal potential reversals - When the bids/asks delta shallows Liquidation View This view estimates potential liquidation events in the market, which often lead to sharp price movements. **How to interpret:** - **Green bars**: Potential long liquidations (forced selling from leveraged long positions) - **Red bars**: Potential short liquidations (forced buying from leveraged short positions) - **Bar height**: Indicates the estimated severity of liquidations **Trading signals:** - Large liquidation events often lead to price continuation in that direction - After a series of liquidations, the market may become exhausted, suggesting a potential reversal - Short liquidations (red) tend to create faster upward price movements than long liquidations Tips for Beginners 1. **Start with the Order Book view** to get a feel for buying and selling pressure 2. **Use the Delta view** for confirmation of trends and potential reversals 3. **Check the Liquidation view** when markets are volatile to anticipate sharp moves 4. **Watch for strong buy/sell signals** (green/red arrows) which suggest high-confidence trade opportunities 5. **Customize the threshold levels** in the settings to match the volatility of the asset you're trading 6. **Higher timeframes** (4H, daily) generally provide more reliable signals than lower timeframes ## Important Settings to Adjust - **Order Book/Delta Thresholds**: Adjust these based on the asset's volatility (higher for more volatile assets) - **Show Bids/Asks**: Toggle to focus on specific directions - **Adaptive Threshold**: Enables the indicator to automatically adjust sensitivity based on market conditions - **Volume Profile**: Uses historical volume distribution to improve accuracy This indicator works best when combined with other confirmation tools like support/resistance levels, trend analysis, and traditional technical indicators.
Penunjuk Pine Script®
oleh s3raphic333
3
Advanced Liquidity Trap & Squeeze Detector [MazzaropiYoussef]DESCRIPTION: The "Advanced Liquidity Trap & Squeeze Detector" is designed to identify potential liquidity traps, short and long squeezes, and market manipulation based on open interest, funding rates, and aggressive order flow. KEY FEATURES: - **Relative Open Interest Normalization**: Avoids scale discrepancies across different timeframes. - **Liquidity Trap Detection**: Identifies potential bull and bear traps based on open interest and funding imbalances. - **Squeeze Identification**: Highlights conditions where aggressive buyers or sellers are trapped before a reversal. - **Volume Surge Confirmation**: Alerts when abnormal volume activity supports liquidity events. - **Customizable Parameters**: Adjust thresholds to fine-tune detection sensitivity. HOW IT WORKS: - **Long Squeeze**: Triggered when relative open interest is high, funding is negative, and aggressive selling occurs. - **Short Squeeze**: Triggered when relative open interest is high, funding is positive, and aggressive buying occurs. - **Bull Trap**: Triggered when relative open interest is high, funding is positive, and price crosses above the trend line but fails. - **Bear Trap**: Triggered when relative open interest is high, funding is negative, and price crosses below the trend line but fails. USAGE: - This indicator is useful for traders looking to anticipate reversals and avoid being caught in market manipulation events. - Works best in combination with order book analysis and volume profile tools. - Can be applied to crypto, forex, and other leveraged markets. **/
Penunjuk Pine Script®
oleh MazzaropiYoussef
Reversal Opportunity📌 Indicator Description – Reversal Opportunity 🎯 🔍 General Overview The Reversal Opportunity indicator is designed to identify ideal conditions for Reversal Trading, but it does not provide trade entry signals. Instead, it helps traders determine whether the market conditions are favorable for a potential reversal. It is specifically designed for traders who execute Reversal trades (Long or Short) and want a clear indication of whether the market is currently suitable for such setups. 💡 What does this indicator do? - Identifies strong momentum before a reversal (a sharp upward or downward move). - Detects momentum slowdown (decreasing volume and smaller candles). - Checks if the RSI is at an extreme level (above 70 or below 30), indicating potential overbought or oversold conditions. - Displays a table at the top center of the screen with the following key data: - Are the conditions for a reversal met? - Is there a slowdown in momentum? - Is RSI at an extreme level? - Was there strong uptrend momentum before a possible Short Reversal? - Was there strong downtrend momentum before a possible Long Reversal? ⚙️ How Does the Indicator Work? The indicator displays a table in the center of the screen, updating every 5 candles to indicate whether the market conditions are ideal for a reversal trade. 📊 Main Status Row: - ✔ Ideal Reversal Setup → Conditions for a reversal trade are met (not a trade recommendation). - ✖ Not Ideal → Reversal conditions are not met; it may be better to wait. 📌 Key Criteria Displayed in the Table: 1. ⚠️ Momentum Slowdown - Yes → Momentum is weakening (a good sign for reversal trades). - No → The market is still moving strongly, and a reversal might not be ready yet. 2. 📈 RSI Extreme - Yes → RSI is above 70 (overbought) or below 30 (oversold), indicating a potential reversal. - No → RSI is still in a normal range, suggesting that waiting for further confirmation might be wise. 3. 📊 Uptrend Momentum Before Reversal - Yes → There was a strong uptrend over multiple consecutive candles, potentially setting up for a Short Reversal. - No → No strong upward momentum was detected, meaning conditions for a Short Reversal may not be ideal. 4. 📉 Downtrend Momentum Before Reversal - Yes → There was a strong downtrend over multiple consecutive candles, potentially setting up for a Long Reversal. - No → No strong downward momentum was detected, meaning conditions for a Long Reversal may not be ideal. 🛠️ How to Use the Indicator? - If "✔ Ideal Reversal Setup" appears, there is a high probability of a market reversal – use your personal entry strategy for further confirmation. - If Momentum Slowdown = Yes, RSI Extreme = Yes, and strong momentum occurred beforehand, this is an ideal setup for a reversal trade. - If any conditions are missing ("No"), it may be better to wait for further confirmation instead of entering too early. - The indicator does NOT provide trade entries! Use your existing trading system for confirmation before entering a trade. 👥 Who Is This Indicator For? - Reversal traders (entering against the current trend after a strong move). - Intraday traders looking for reversal trades at extreme market levels. - Technical traders who rely on Price Action and Volume for trade setups. ⚠️ Disclaimer: This indicator does not recommend trade entries but provides insight into market conditions. The trader is responsible for risk management and decision-making. It is best used in combination with additional confirmations such as reversal candles, Order Flow, Bookmap, or Volume Profile to improve accuracy. 🚀 The indicator is ready to use – add it to TradingView and get instant feedback on whether the market is ideal for a Reversal trade!
Penunjuk Pine Script®
oleh aimandakwaradv
G.O.A.T. Scalper Diagnostics v1OVERVIEW: The G.O.A.T. Scalper Diagnostics indicator system enables users to discover unorthodox indicator patterns, reading price charts in unusual ways, thus gaining an edge over the majority of market participants they trade against. CONCEPTS: Th G.O.A.T. Scalper Diagnostics is a system that aims to satisfy the fundamental condition for successful online trading - providing an edge. It's a battle between advantages. To take other people's money, successful traders must have an advantage over everybody else. To hope for consistent success in trading, you need to do things differently and see what almost nobody else sees. Of course then you must act on it, and that's where the G.O.A.T. Scalper Diagnostic's mandate ends. I believe the vast majority of indicators out there show you what everybody else sees. I've always been an indicator guy, I respect and cherish most indicators and I know a good indicator when I see it. However, although most indicators are great works of art, their practicality is in most cases doubtful. Presenting great information is one thing, but providing an edge over the people you trade against is something different. What Everybody Else Sees The G.O.A.T. Scalper Diagnostics is based on indicators most of you have probably heard of and used: Moving Averages (particularly the Kaufman Moving Average, among others) ADX and DI Bollinger Bands Stochastic (particularly the Stochastic RSI) Most traders should be well familiar with these classic indicators, they've provided the basis for online indicator trading for decades. But it's also true that due to how popular online trading has become all over the world, one is more and more unable to use these indicators successfully on lower timeframes. Usually, more noteworthy success is achieved by going up in scale and discovering the timeframe where a particular indicator produces no false signals. Often times these timeframes range from bi-weekly to multi-month scale. In other words, consistently successful low timeframe trading and scalp trading in particular are now almost impossible using indicators. Traders that dominate the scalping arena are big professional/institutional groups of traders, who have systematic access to the order books of most exchanges. This can be achieved one way or another, but not by individuals, small groups without significant capital or simply traders who lack political/social power and influence in the trading field. In other words - giant order book traders have an edge over everybody else, who use indicators to trade on lower timeframes. Through a series of interventions into these classical indicators, the G.O.A.T. System brings them back into the lower timeframe competitive game. Most original formulas are preserved, but these immortal classics are applied in ways popular TA would consider unorthodox. Ingenious Indicators Built by Creators The G.O.A.T. Scalper Diagnostics relies on the fundamental work of others. The System is developed on the basis of: Quadratic Kernel Regression - it uses the publicly published library of Justin Dehorty: www.tradingview.com PMARP - Price Moving Average Ratio & Percentile, publicly published by "The_Caretaker": www.tradingview.com These Creators deserve full credit for their fundamental work and are endorsed by the G.O.A.T. Scalper Diagnostics project. And yet... ingenious and inspired as these tools are, in my humble opinion the general public is presented with a rather unproductive way to apply them. In my own view, these wonderful tools built by JDehorty and The_Caretaker have a massive potential should they be applied and wielded in a different direction. So I tried to bring my vision about them into flesh with the G.O.A.T. Diagnostics. What the G.O.A.T. Scalper Diagnostics Is and How to Use It It's a System for new pattern discovery, bringing the disciplines of pattern and indicator trading together. By using it as a stand-alone, or mixing it with other great indicators, one is able to discover new indicator patterns. Patterns can be compared, matched together and categorized. By applying statistics to differentiated historical pattern groups, we're able to derive their meaning. Thus, the trader is able to research their own "alphabet" to read the price charts. After categorizing and differentiating pattern groups with statistically predominant meaning, the trader is then able to read into longer scenarios - price set-ups that are harder to detect due to them being stretched in time or misshapen according to the particular situation. The G.O.A.T. Scalper leverages and encourages group trading, as different traders will probably discover different price "alphabets" for themselves, potentially giving rise to a social economy of sharing and combining "trading languages" based on indicator patterns people have discovered via the G.O.A.T. Diagnostics. Support/Resistance Trading The G.O.A.T. Scalper has its own way of deriving Support/Resistance. Unlike most existing S/R indicators, The Scalper derives Support/Resistance not by measuring price highs, lows and closes, but solely by using momentum and trend strength. This seems like a much more versatile way to plot S/R during scalping on low timeframes where time is of essence and the trader's view is too narrow to have macro S/R levels in constant consideration. The Scalper's way to derive S/R in real time and on the go, while staying very relative to important higher timeframe S/R zones, makes it much more desirable than any other S/R indicator I've thus far encountered. All S/R functionality is derived from the classical ADX and DI indicator. To do this, I use the ADX and DI in an unpopular way. To generate the actual plot of S/R levels I also modify the indicator's code, not by removing functional parts from it, but adding more to it in order to filter the signals it produces. I can metaphorically describe its action in the following way: Imagine you're Price action itself; You're walking through a labyrinth or corridors. You're walking through one straight corridor, and it has a crossing with another corridor ahead; Very strong wind is blowing along that other corridor. You can't see the wind, but when you reach it and try to move past it, the force of the wind resists your moving ahead and instead pushes you sideways. At this point, the G.O.A.T. Diagnostics already knows this can only be one thing - resistance. Orthodox TA and trading demand retests. In my opinion, this deeply rooted tradition wastes time proving the obvious, then wastes time again double-proving the validity of recent past, while scalping opportunities go to waste. Modern successful traders are way ahead of the popular strategy of testing and retesting S/R that almost every trader uses. So-called "Stops hunting" is just one expression of this situation, where wide adoption of the S/R retesting strategy actually lures unsuccessful traders into the schemes of the successful few. In my own way of trading, I use the G.O.A.T. Diagnostics to take action on Support/Resistance as it's plotted in real time. But probably my biggest heresy into the DI is my opinion, that the crossings of the +DI and -DI are useless and should actually be discarded. My research shows that the DIs often show indications of being "oversold", but don't seem to exhibit an "overbought" state. Statistically, I've had much more success basing my TA on that, rather than cross-ups and cross-downs of the DI plot lines. Therefore I discarded these crossings by presenting the DI part of the ADX and DI as a Heatmap channel rather than crossing lines. To further enhance the ability of the System to provide S/R analysis, I plot this Heatmap onto an adjustable price offset plots (a percentage above and below current price). In modern times, the vast majority of trading is done by automatic machines and algorithms. To give a specific example, one can easily notice, that a 5% offset of the BTC 1h price plot leads to remarkably accurate S/R charting. Following the rule to chart a S/R line connecting highs and lows on the 5% price offset often successfully "foresees" valid S/R zones before price ever visits them. Or, the levels were visited so far back in the timeframe's history that orthodox understanding considers them "invalidated" or washed away in the noise of the relevant volume profile. My explanation for this is simple - I think Grid bots now dominate automatic trading across the majority of exchanges. In my understanding, by adjusting the percentage offset of current price action I can often discover relevant conglomerations of dominating Grid bot cell parameters and anticipate price reaction. By plotting the DI heatmap on these price action offsets I can use the indicator for my trading decisions. Heatmaps Every heatmap produces different series of data. They're not the same. Bollinger Band heatmap depicts the percentile distance between the Band's extremes. The price candles heatmap, and the KAMA moving average heatmap, depict the percentile distance between price and the KAMA. So, it's the same thing. However, the percentile of that distance is calculated in two different ways, hence the difference in color in every particular moment. This color discrepancy aims to visualize the "strain" between price action and KAMA, like a soft and hard "springs" that go in unison with each other in sustainable moves, and in dissonance with each other during unsustainable moves. Price offset heatmap depicts the percentile average of the +DI (above price) and the -DI (below price). A Hot temperature above price and a Cold temperature below price would mean a strong bullish sentiment, and vise versa, while Green would mean neutrality in sentiment. There are important interplays between different heatmaps. For example, although representing totally different things, a Teal price bar would almost always (according to historical statistics) foreshadow a change in DI's heatmap sentiment. That's just one avenue of correlation between S/R analysis and sentiment analysis using the G.O.A.T. Diagnostics. Oscillator Chart In terms of applying Quadratic Kernel Regression, I endorse the natural principle that no center can exist without a periphery, and no periphery can exist without a center. Therefore I try to pay attention not only to the average of the regression's values, but also to the cloud of data points itself. Following this understanding, I attempt to depict the natural cycles of price converging/diverging towards/from its regression average. To do this, I apply the classic Stochastic formula. Thus, the Oscillator part of the System depicts the following: Thin heatmap line displays the cycles of price converging with its quadratic kernel regression average (moving down), and diverging with its regression average (moving up). Its heatmap depicts the percentile of this oscillation. The wider heatmap line displays the KAMA's cycles of convergence/divergence with its own quadratic kernel regression average. The reason for this is again creating discrepancy - while KAMA is based on price action, its regression data values differ from those of price action's regression. This discrepancy produces useful historic patterns that can be studied statistically. The thin and wide purple oscillator lines depict the change of slope of price action regression average and KAMA regression average, respectively. Very often change of slope is not detectable with the naked eye, but clearly indicated by the oscillators. By combining all these elements into a single analysis, a trader can detect hidden trends that are yet to become visible for the rest of market participants. For example, convergence of price with its quadratic kernel regression average while the slope of the average deteriorates down in most cases (according to statistics) means a sideways consolidation in a downtrend before downtrend continuation. Conversely, deviation of price action from its regression average while the regression average slope deteriorates down usually marks the very beginning of a downtrend. Bollinger Bands Bollinger Bands are not modified, but are based on quadratic kernel regression values. Thus, if Bollinger Bands themselves are indicative of volatility, then based on kernel regression values, they should indicate the volatility of change of values in the regression's window. Again, applying it to both the price and KAMA regression data series, a discrepancy is highlighted that leads to useful historical patterns subject to analysis and categorization. SOME EXAMPLES Support / Resistance Support/Resistance levels are market by White Triangles with dotted lines plotted from them, in real time. The indicator plots Ghost Triangles in anticipation of Support/Resistance, preparing the trader for the eventual confirmation of a zone of interest and signaling price is feeling Support or Resistance pressure. Dialing the length of the S/R lines to 25 makes the indicator more useful. Dialing the setting to 500 clearly shows macro S/R zones by conglomerating and bundling individual lines. The thicker the bundling and the confluence of lines, the more significant the zone. Thus lower timeframe scalping and trading is made more easy, without the need to do nearly as much manual S/R charting. Support/Resistance analysis and plotting is entirely based on a modified ADX. Heatmap Sustainable moves are generally marked by Green price color and calm KAMA colors. Unsustainable moves are usually marked by more extreme colors of price bars and KAMA. Red usually means price is unsustainably distanced from the KAMA, while deep Blue usually means price is undesirably close to the KAMA, foreshadowing a directional distancing. Usually Teal color of price bars and KAMA foreshadow a change of sentiment of the outside Heatmap sentiment channel. Red color of the outside channel always signals the direction of the desired sentimental movement, while Blue signals the extent at which the counter-element suffers. Thus, one side being Green, while the other is Blue, often means the Blue will soon evolve into a warmer color, attracting price in that direction. Outside Heatmap channel is entirely based on a modified DI. Oscillator Chart An example of Chart Diagnosis using the Oscillator and other elements of the G.O.A.T. Scalper: First (far left), a Resistance is plotted. This coincides with price bars being Red (distressed state). The thin colorful Oscillator line takes an Up-turn, signifying a period of price moving away from its Quadratic Kernel Regression (pink moving average). After Price cools down to Green sustainable colors, a Support is plotted. During this time, the thin colorful line is falling down, signifying a period when the distance between price action and its quadratic kernel regression average is decreasing. During this phase, the thin purple Oscillator line goes up. This signifies the slope of the price regression is restoring to the upside. Next, the thin colorful line starts going up again, signifying another period of price getting further away from its regression average. This time to the upside. Resistance is being broken and new support is established. At this point, the thin colorful line starts falling again, signifying distance between price and its regression MA is shortening. This is clearly visible as a sideways consolidation (with a slight tilt up of slope). A moment comes when all lines - the price and KAMA lines, and price and KAMA regression slopes, all point down. A new down period is clearly starting. This is further indicated by Teal price bars and new Resistance forming. Notice how the external heatmap channel goes into more balanced Green colors with trend enthusiasm calming down. This analysis may appear to be overwhelming and confusing at first, as these metrics are unorthodox and unpopular. But different aspects of the indicator can be toggled ON/OFF to single them out, which makes observations much simpler for new users. After some time spent discovering personal patterns, or reviewing other users' catalogues with already published pattern libraries, it soon becomes easy to read charts in this new way. Bollinger Bands Bollinger Bands provide another way to produce patterns that give users specific chart information. One noteworthy indication is when the price and KAMA Bollinger Bands separate their value zones. Since the zones of these Bands are based on the kernel regression values of the respective sources, their separation is significant and too often means violent reversals or violent continuations (which usually can be judged using the other metrics the System provides, or additional indicators of choice). Another noteworthy Bollinger Band pattern is when price action leaves a prolonged trending move. First phase of the end of a prolonged trending move is the BB zones expanding and doing a significant overlap. Second stage is price getting reaccepted in the Price BB. This however doesn't mean reacceptance in the KAMA BB and if the moment isn't right, usually leads to bounces and continuations. The KAMA needs to "make space" for price to get reaccepted into the KAMA BB. While the KAMA is outside its BB or very near to its wall, price reacceptance into it is not very probable. When KAMA withdraws from its BB wall, opening an "entrance on its membrane", that's when price is eligible to get reaccepted into the KAMA BB. That's usually the moment the long awaited consolidation starts and a long trending move is over. Users of the G.O.A.T. Scalper Diagnostics can discover many more patterns and correlations between patterns within the System. But the System itself can multiply all possible patterns when inspected in the context of additional indicators, leading to vast possibilities of signal and pattern discovery with huge potential. A very good idea would probably be to use the G.O.A.T. Diagnostics together with the Ichimoku. Ichimoku has always been famous for its genius simplicity and elegant profoundness, but notorious for its total lack of accuracy, as well as general uselessness on lower timeframes. The G.O.A.T. System has the potential to enhance all of Ichimoku's strengths and cure its weaknesses. Yet another good idea may be to pair it with kindred indicators, like the Gaussian Channel, which has a stunning performance, but suffers from too high level of generalization. The Diagnostics can provide the intricate texture of price manoeuvres the Gaussian Channel fails to register, while the GC can give the Scalper even more solid context for its patterns. The worthwhile possibilities seem endless... Entry Table I've added a little Entry Table at the bottom right corner. It's designed to potentially help scalpers trade faster, and to visualize a potential trade they're thinking about before they execute it. A Stop Loss is visually plotted in real time to better visualize it's placement in the chart context. It encourages responsible risk management in its settings: The user enters the amount of their trading portfolio; Then specify the percentage of their portfolio they're willing to risk at every trade; After that the user can chose to specify a flat percentage Stop Loss. The table will calculate the size of the entry of a market order, so the user only risks the specified percentage of their portfolio should the specified Stop Loss level is hit. There's also the option to use automatically suggested Stop Loss, based on recent volatility. The actual Stop Loss is calculated 20% away from the actual volatility level, to better protect from unforeseen wicks. In the current example, the user with a $1000 trading portfolio has to do a $1000 entry to lose 1% of their portfolio ($10) at a 1% Stop Loss. But the user has to do a $2,525 entry in order to lose 1% of their portfolio (%10) at a much closer Stop Loss which is less than 1%, based on recent volatility. The Entry Table should be considered as a cosmetic convenience and not a dedicated risk management tool. CONCLUSION: The G.O.A.T. Scalper Diagnostics is an indicator System, based on popular, but modified and tweaked versions of indicators like the ADX and DI, Stochastic, Bollinger Bands and MAs. It also leverages the remarkable work of inspired creators: JDehorty's Quadratic Kernel Regression library, and The_Caretaker's PMARP . The G.O.A.T. Scalper Diagnostics indicator system enables users to discover so-called new "indicator-pattern alphabets", reading price charts in new and unorthodox ways, thus gaining an edge over the majority of market participants they trade against. The high degree of freedom when discovering new patterns, either within the System itself or correlating its output to external auxiliary indicators, highlights the System's potential for original discoveries leading to highly personalized trading strategies. Exchanging information about personal pattern libraries can potentially also give birth to new private trading communities.
Penunjuk Pine Script®
oleh Xaumana
1
The Real Koops - Darvas Box v2.1What Is the Darvas Box? The Darvas Box strategy was developed by Nicholas Darvas. Aside from being a well known dancer, he began trading stock in the 1950s. Based on his success in trading, he was approached to write a book on his strategy. The book, “How I Made $2,000,000 in the Stock Market,” outlines his approach together with “You can still make it in the market”. Darvas Box Implementation The intend behind the Darvas box was for it to be used for rapidly rising technology stocks, and in fact it was never tested or used by Darvas for Commodities. This implementation of the Darvas Box was created specifically in support of Commodity Trends, which tend to be very volatile over long periods of time. The main ones for an uptrend (e.g. longing the market. Shorting the market would work exactly the opposite): 1. When the price of a rapidly rising stock (pls note rapidly rising is key - we are not interested in a sideways trend) is reaching a resistance point, which is does not surpass for three or more consecutive days, that point represents the top of the box. 2. If, after falling from the upper limit, the stock reaches a downward resistance point which it does not penetrate for three of more consecutive days, that level represents the bottom of the box. 3. A stock is in a rising trend when it is in the topmost box. If it remains there, its price fluctuations should be ignored, and the stock is a HOLD. 4. If the price of the stock moves above the top of this topmost box, this stock becomes a BUY. A 10% stop loss should be set at the breakout. 5. Having formed a new higher box, if the price falls below the bottom into the stop loss area of this box, the stock is a SELL. 6. There is no reason to HOLD or BUY a stock that is not in its topmost box. 7. In case a candle pierces out of the top of the box while establishing the bottom of the box, the box is invalidated. 8. If the Box is broken out of on the top, the color is Yellow. If the Box is broken out of on the bottom, the color is Blue. 9. If a Box is being formed in the current timeframe, it is colored Grey, and has clear Buy and Stop Loss indicators so that the user knows how to configure his/her Broker. 10. All parameters for the implementation have been made configurable, so that users can tweak both the presentation of the boxes (background color, border width and style) as well as the configuration of the breakout %, stop loss %, textual presentation and box validation e.g. display arrows where the top and the bottom of the box was drawn, draw boxes only from All Time High back test after a configurable number of years, the number of boxes to be drawn from the last box etc. 11. In addition, two other key principles are critical for application of the indicator: 1. The stock’s price must be at or above its ATH for the past 3 years or more. 2. The volume profile needs to indicate a rapidly growing volume or insider buying (e.g., a volume spike). How is this implementation different from others? This implementation holds fully true to the way Darvas described his Darvas Box in his books, but applies it to Commodities. It is in addition, highly configurable, so that it can be used to debug itself (at which points have box boundaries been drawn), and it provides Buy/Sell/Stop Loss levels for entries and exits – again, highly configurable, with defaults set as per Darvas’ books. Finally, it works over daily to quarterly timeframes (it is not suitable for high frequency trading). How to use this Indicator? First, use it with the default settings. Once a grey box is drawn for the current timeframe for the commodity you are interested in investing in (based on Darvas principles outlined above), this box will indicate a Buy level and a Stop loss level based on the principles described above, allowing you to make a purchase decision for that commodity asset accordingly. Then, stay the trade. As the stock continues to move up, more Darvas Boxes will be drawn with new Buy levels and stop loss levels – either add to your position or keep the original investment in play. Once a trend reversal occurs, the Stop loss level will be used to get you out of the trade. Second, once you are comfortable with this trading methodology, you can refine the script to use a color scheme as you prefer for your Tradingview, as well as set buy, stop loss and sell levels, aligned with your own level of comfort to deal with volatility. If you wonder why a certain box was drawn at certain levels, you can use the green and red arrows to show the levels based upon which the boxes were drawn.
Penunjuk Pine Script®
oleh TheRealKoops
6
Absolute KRI [vnhilton]The Kairi Relative Index (KRI) is a volatility momentum oscillator that plots the distance of price away from a moving average. An increase or decrease in distance is a sign of increasing/decreasing momentum respectively, & a relatively stable distance would mean momentum is also stable. An increase in momentum is a sign of strength, price extending away from the moving average, & has to revert back to the mean sooner than later, which is why some traders look to take profit or contrarian trades with this increase in momentum. This indicator plots the KRI in absolute values, meaning that the value can never be lower than 0, helping to see momentum clearer, with colours to still give information on whether or price is in an uptrend or downtrend if it's above/below the moving average respectively. This indicator also includes a standard deviation band, to help spot abnormal distances between price & the moving average, which may be more worthy of attention as that's a sign of significant activity that's caused momentum. The chart snapshot image above shows ATXI moving ~70% from its open on 30/09/22. From open to midday, we can see price extend away from the 21 EMA (impulses) several times, with retracements back towards the EMA following right after. Let's look at 3 main examples of price creating new highs. - At (1), price attempts to make a new high, & but meets historical resistance, causing price to retrace back to the mean. On the indicator, you can see momentum failing to be higher than previous momentum after making new highs, which shows that historical resistance, alongside the whole $10 dollar level, were significant in causing a reversal (you can see sell volume using the periodic volume profile (pvp) for each bar). The indicator also shows momentum extending further than the standard deviation band, which is mostly expected as it's right at the open & the stock was in play at the time. The indicator falls back under the standard deviation band which confirms the retracement, as it's showing slowing of momentum. - At (2), the indicator indicates significant activity again after exiting the standard deviation band, with the impulse slowing down right the resistance, testing it several times to satisfy passive sellers, until aggressive buyers were able to push the price higher. This confirmed new high that followed afterwards didn't exhibit the same momentum as (1), which means that the overall trend is slowing down, meaning that traders should be more cautious of trying to buy into new highs (i.e. take profit earlier, & look for reversals). - At (3), the indicator shows significant activity again as price heads towards making a new high. As new highs were created, we can see that the momentum causing this breakout is lower than the previous momentum at (2) & (1), again showing that the overall trend is slowing down. The whole $12 dollar level, & FOMO/greed buyers being trapped at the wick (you can see buy volume using the pvp indicator), allowed for short-term resistance for a mean reversion play.
Penunjuk Pine Script®
oleh vnhilton
2
Money Flow Trend Strength [CraftyChaos]I devised this indicator because I wanted to find a way to track the Money Flow Trend to exhaustion for both directions. Overview: I use two MFI series and an EMA of the faster MFI series to derive when the Money Flow is trending in one direction or another. What does this indicator not do: This indicator does not give buy and sell signals. What does this indicator do: This indicator offers confluence with your other indicators to determine when a reversal is approaching after a sustained trend of money flowing in or out of an asset. This indicator can help time your trades near reversal points, so you are not entering trades in the middle of some trending move. How to Tune I would not recommend changing the settings. I have exposed them for people that want to experiment. The short lengths are key to reducing lag How to read the indicator: When a red cross appears at the top, this indicates money flow into the asset is strong. Do not short an asset while there are red crosses. You will get REKT When a green cross appears at the bottom, this indicates money flow exiting the asset is strong. DO NOT buy an asset while there are green crosses. You will get REKT. When the white step line enters the top, but no crosses appear, this indicates money is flowing into the asset, but is weak. The trend will either gain strength soon or will collapse. When the white step line enters the bottom, but no crosses appear, this indicates money is flowing out of the asset, but is weak. The trend will either gain strength soon or will collapse. The green line is the slower MFI. I would not use any crosses with the white step line and the green line. These two lines can cross frequently and show divergences with price. very frequent crossing may indicate sideways movement with no real price movement. I often see the white step line enter the bottom and top zones under two primary conditions: Secondary tests of support and resistance zone which fail Failed breakouts/pullbacks after a pump or dump Additionally, I use my indicator with the following indicators. You may find them useful: Jurik Filtered, Composite Fractal Behavior (CFB) Channels (on current timeframe). Note: I often find strong trends trace the upper/lower bands, and end when the upper or lower band flattens Jurik Filtered, Composite Fractal Behavior (CFB) Channels (on smaller timeframe, i.e., 2hr on a 4h or 15m on the 1hr). Note: I often find weak trend pullbacks/breakouts touch the channel bands Session Volume Profile. Note: find trend completion corresponds to price above/below VAL areas
Penunjuk Pine Script®
oleh CraftyChaos
1
Baseline-C [ID: AC-P]The "AC-P" version of jiehonglim's NNFX Baseline script is my personal customized version of the NNFX Baseline concept as part of the NNFX Algorithm stack/structure for 1D Trend Trading for Forex. Everget's JMA implementation is used for the baseline smoothing method, with optional ATR bands at 1.0x and 1.5x from the baseline. NNFX = No Nonsense Forex Baseline = Component of the NNFX Algorithm that consists of a single moving average Baseline ---> Meant to be used in conjunction with ATR/C1/C2/Vol Indicator/Exit Indicator as per NNFX Algorithm setup/structure. C1 is 1st Confirmation Indicator, C2 is 2nd Confirmation Indicator. JMA (Jurik Moving Average) is used for the baseline and slow baseline. A slow baseline option is included, but disabled by default. The faint orange/purple lines are 1.0x/1.5x ATR from the Baseline, and are what I use as potential TP/SL targets or to evaluate when to stay out of a trade (chop/missed entry/exit/other/ATR breach), depending on the trade setup (in conjunction with C1/C2/Vol Indicator/Exit Indicator) This script is heavily based upon jiehonglim's NNFX Baseline script for signaling, barcoloring, and ATR. SSL Channel option included but disabled by default (Erwinbeckers SSL component) POC (Point of Control) from Volume Profile is included/enabled by default for both the current timeframe and 12HR timeframe 03.freeman's InfoPanel Divergence Indicator was used a reference to replace the current/previous ATR information infopanel/info draw from jiehonglim's script. I'm not sure whether I like the previous way ATR info was displayed vs how I have it currently, but it's something that is completely optional: Specifically: I am tuning this baseline/indicator for 1D trading as part of the NNFX system, for Forex. DO NOT USE THIS INDICATOR WITHOUT PROPER TUNING/ADJUSTMENT for your timeframe and asset class. Note about lack of alerts: Alerts for baseline crosses (and other crosses) have been purposefully omitted for this version upon initial publication. While getting alerts for baseline crosses under certain conditions/filtered conditions that eliminate low-importance signals and crossover whipsaw would be great, it's something I'm still looking into. SPECIFICALLY: There are entry, exit, take profit, and continuation signal components in relation to the Baseline to the rest of the NNFX Algorithm stack (ATR/C1/C2/Vol Indicator/Exit Indicator), including but limited to the "1 candle rule" and the "7 candle rule" as per NNFX. Implementing alerts that are significant that also factor in these rules while reducing alert spam/false signals would be ideal, but it's also the HTF/Daily chart - visually, entry/exit/continuation signal alignment is easy to spot when trading 1D - alerts may be redundant/a pursuit in diminishing returns (for now). //------------------------------------------------------------------- // Acknowledgements/Reference: // jiehonglim, NNFX Baseline Script - Moving Averages // // Fractured, Many Moving Averages // // everget, Jurik Moving Average/JMA // // 03.freeman, InfoPanel Divergence Indicator // // Ggqmna Volume stops // // Libertus RSI Divs // // ChrisMoody, CM_Price-Action-Bars-Price Patterns That Work // // Erwinbeckers SSL Channel //
Penunjuk Pine Script®
oleh auroagwei
9
4 colour MACD with Delta % + Div LabelMACD 4C + Delta % + Divergence Label This advanced MACD-based indicator is designed for professional traders seeking enhanced momentum analysis with visual clarity. It offers a multi-faceted view of MACD behavior with real-time insights into trend strength, acceleration, and divergence signals. Key Features: 4-Color MACD Histogram: Visually distinguishes between rising and falling MACD bars in both bullish and bearish zones for quicker momentum assessment. Delta % Labels: Each bar displays the percentage change in MACD compared to the previous bar, providing instant feedback on MACD acceleration and shift in momentum. Automatic Divergence Detection: Identifies regular bullish and bearish divergences using pivot-based logic. Displays clear, compact labels near MACD bars to highlight potential reversal zones. Clean, Minimalist Design: Divergence labels are sized for readability and positioned to avoid overlapping with MACD data, ensuring clean chart presentation. No repainting or lag: All divergence calculations are based on confirmed pivots, ensuring reliable signal generation without false alerts. This tool is ideal for scalpers, swing traders, and momentum traders who rely on MACD dynamics for precise timing and directional bias. Use it to improve your entry and exit accuracy by combining traditional MACD signals with real-time volume and divergence insight. 🔹 Usage Notes Recommended Timeframes: Works well on all timeframes. For scalping, use 1m–5m; for swing trading, use 15m–1H+. Best for: Traders looking for a fast, visual way to assess trend strength and spot divergence-based reversal opportunities. Pair With: Can be used alongside price action, volume profile, RSI, or order flow-based indicators for confirmation. How to Read: Green/Red MACD bars indicate bullish/bearish momentum. Delta % shows MACD change rate — increasing positive delta = strengthening trend. Arrows/text labels signal potential divergence — pay attention when divergence aligns with support/resistance or price structure. Notes: No repainting — divergence is only drawn after pivots are confirmed. All labels are automatically managed for clean display. Can be customized further for hidden divergences or alert integration.
Penunjuk Pine Script®
oleh MILO888
Apex Edge – Super RSIThe Apex Edge – Super RSI is not your average RSI. This is an institutional-grade signal engine designed for serious traders who want confluence, control, and confidence — all wrapped into one visual powerhouse. ━━━━━━━━━━━━━━━━━━━━ KEY FEATURES ━━━━━━━━━━━━━━━━━━━━ ✔ **RSI + Divergence Engine**  • Classic & Hidden Divergences (auto-detected)  • Labelled with shapes:   ▲ Green Triangle – Buy Signal (strength-based size)   ▼ Red Triangle – Sell Signal   ◆ Green Diamond – Classic Bullish Divergence   ◆ Red Diamond – Classic Bearish Divergence   ● Green Circle – Hidden Bullish Divergence   ● Red Circle – Hidden Bearish Divergence Note - Users can edit symbol colours in settings for better clarity ✔ **Trap Detection System**  • Detects low-move, high-signal clusters (liquidity traps)  • Automatically suppresses signals for X bars after detection  • Trap zones shown with shaded background (optional) ✔ **Signal Scoring Logic**  • Each signal is scored 1–6 based on:   • RSI Threshold Break   • RSI Slope   • Divergence Detected   • Trap Avoidance   • Multi-Timeframe Confluence (optional)  • The plotted shape size reflects the strength of the entry signal ✔ **Multi-Timeframe Confluence (MTF)**  • Optional filter that uses HTF and VHTF RSI alignment  • Prevents countertrend signals  • MTF Bias shown on HUD panel ✔ **Always-On HUD Panel**  • Displays:   • Signal Type   • Signal Score   • Divergence Type   • RSI (LTF & HTF)   • Trap & Cooldown Status   • MTF Bias   • Volatility % ✔ **Alert Ready**  • Buy/Sell alerts  • Trap Detected alert  • Divergence alert with dynamic message  • Perfect for webhook integrations ━━━━━━━━━━━━━━━━━━━━ 📘 HOW TO TRADE IT ━━━━━━━━━━━━━━━━━━━━ ✅ **Buy Setup**  • Green triangle (▲) appears **below bar**  • RSI is oversold and rising  • HTF RSI agrees (optional)  • Signal score is 3+ for best confidence  • Avoid signals during cooldown zone ✅ **Sell Setup**  • Red triangle (▼) appears **above bar**  • RSI is overbought and falling  • HTF RSI agrees (optional)  • Signal score is 3+ for best confidence ✅ **Divergences**  • Use diamonds/circles to identify momentum shifts  • Strongest when aligned with score 4–6 ❗**Trap Zones**  • When background is shaded, wait for cooldown  • Signals during traps are suppressed for safety ━━━━━━━━━━━━━━━━━━━━ 📊 BEST USED WITH ━━━━━━━━━━━━━━━━━━━━ 🔹 Apex Edge – Session Sweep Pro (to visualize liquidity levels) 🔹 Volume Profile or OBV (volume-based confirmation) 🔹 EMA Ribbon (for trend alignment) 🔹 Fair Value Gap indicator (smart money models) ━━━━━━━━━━━━━━━━━━━━ 🧠 PRO TIPS ━━━━━━━━━━━━━━━━━━━━ • Use the HUD for decision confidence — if everything aligns, you’ve got an Apex-grade setup. • Wait for candle close to confirm divergence-based entries. • Score 5–6 = sniper entries. Score 1–2 = warning shots. This indicator can be used alongside Apex Edge Session Sweep Pro for better visual clarity. ━━━━━━━━━━━━━━━━━━━━ © Apex Edge | All rights reserved. 3 days ago Release Notes Update - Added a toggle to show/hide HUD when using on smaller mobile devices so as not to clutter the screen.
Penunjuk Pine Script®
oleh ApexEdge
7
Key Recent Highs and LowsKey Recent Highs & Lows — Session‐Aware Market Structure TL;DR This tool plots the most important intraday price extremes for every U.S.‑equity trading segment—Early Premarket • Western Premarket • Regular Hours • Post‑Market Hours • Yesterday’s Range—and labels them so you can trade break‑outs, retests and mean‑reversion with instant context. 📐 Theory & Why These Levels Matter Liquidity Pools Visible session extremes attract resting orders (stop‑losses, take‑profits, opening prints). Price often accelerates into them and reacts at them. Market Memory The previous day’s high/low is a widely‑watched pivot for gap fills, overnight inventory corrections and multi‑day breakouts. Mean‑Reversion Windows Statistically, pre‑ and post‑market ranges are thin; an aggressive spike outside those bands often retraces when full liquidity returns. Break‑Out Confirmation A true breakout isn’t just a tick above RTH‑high—it usually closes or at least consolidates above the prior extreme. Seeing all bands lets you gauge whether a push is “real” or just probing thinner sessions. Put simply, these levels help you decide: Break‑out ➜ trade in the direction of expansion past a session extreme with follow‑through. Fade/Mean‑Revert ➜ fade a spike that tags an extreme without commitment (e.g., hits Western‑Premkt‑High then stalls before RTH). 🔍 What the Script Draws Session (UTC‑4 EST) Default Color / Style Typical Use‑Case Early Premarket 4 – 7 AM Thick semi‑transparent orange line detect overnight retail spikes / fade plays Western Premarket 7 – 9 : 30 AM Dashed orange‑red breakout watch as U.S. brokers open Regular Session (RTH) 9 : 30 – 16 : 00 Bold teal dotted line core intraday structure; classic highs/lows Post‑Market 16 – 23 : 59 Soft indigo band after‑hours news moves, earnings fades Previous‑Day RTH Solid teal gap‑fill targets, trend continuation filters (All colors, thicknesses and transparencies are editable in the settings.) ✨ Features Real‑Time Updates Levels refresh tick‑by‑tick inside their own session—no repainting later. One‑Click Visibility Toggles Show or hide any session extreme independently. Clean Auto‑Labels Optional right‑edge tags (“RTH High”, “Premkt Low”, etc.) keep your chart readable even when lines overlap. Automatic Daily Reset At midnight Eastern, buffers clear and yesterday’s extremes roll into the “Prev‑Day” pair. Zero‑Noise Design Transparencies and line styles are tuned so you can overlay on any symbol / timeframe without drowning candles. 📈 How to Trade with It Intraday Breakout Strategy Mark confluence (e.g., price pushes through Western Premkt High and Yesterday’s High). Wait for a pullback that holds above the reclaimed band. Enter with stop under that session line; target next band or measured‑move. Fade / Mean‑Reversion Pre‑market headline sends price 5 % above Early Premkt High. Volume dries up before RTH open. Short into exhaustion; cover near Western Premkt High or VWAP. Gap‑Fill & Trend Days Cash open gaps above Prev‑Day High. If first 15‑min candle closes back inside yesterday’s range, bias shifts to downside fade. If it holds above, treat gap as breakout and track RTH High extensions. Pair it with volume‑profile, VWAP, or momentum oscillators for even higher‑confidence setups. ⚙️ Settings Cheat‑Sheet Setting Effect Show Regular / Premarket / Post‑market High/Low Master visibility per session Show Previous Day High/Low Toggle yesterday’s anchor range Show Session Labels Turn the right‑edge tags on/off Style Panel Change each line’s color, width, transparency, dash/dot 🛠️ Best Practices Works on any intraday timeframe (1‑min to 1‑hour). Crypto or 24 h markets: adjust session times to match your exchange. Combine with alerts (e.g., “price crossing RTH High”) for hands‑free monitoring. Put KRHL on your chart and you’ll never wonder which high matters most again—because they’re all right there, clearly labeled and color‑coded. Trade breakouts or fades with confidence, armed with the exact market structure everyone else is watching.
Penunjuk Pine Script®
oleh garysebastianbrowniii