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Breadth Indicators

Stephis Supply & Demand Zones v3 📉 Support Definition: Support is a price level where a downtrend can be expected to pause or reverse due to a concentration of buying interest. Why it matters: When the price of an asset falls to a support level, traders expect buyers to step in, preventing the price from falling further. Visual clue: On a chart, support often appears as a horizontal line where the price has bounced up multiple times. 📈 Demand Definition: Demand refers to the willingness and ability of buyers to purchase an asset at a given price. In trading context: High demand typically pushes prices up, while low demand can lead to price drops. Relation to support: A support level exists because of demand—buyers are willing to buy at that price, creating a floor. 🧠 How They Work Together When price approaches a support level, traders watch to see if demand increases—if it does, the price may bounce. If the support level is broken, it may signal that demand has weakened, and the price could fall further. 🔁 Opposite Concept: Resistance & Supply Resistance is the opposite of support—it's a level where selling pressure (supply) may stop a price from rising. Just like demand creates support, supply creates resistance.
Pine Script® indicator
by behreste
Aggressive Volume Indications + SupertrendVolume Precision: The aggressive volume logic is well-designed to filter for conviction-backed price movement. Using (high - low) * 0.7 as the body filter adds a nice touch to weed out noise. Customizability: The script allows for tunable inputs on both the volume and trend side, which gives flexibility across different instruments or timeframes. Trend Detection Logic: Your use of persistent variables to track supertrend and trendUp adds robustness to the trend-following element. 💡 Suggestions: Optional Signal Confirmation: You could incorporate a confirmation mechanism—like checking if price closes above or below the Supertrend line before plotting the aggressive volume markers. That might help filter out traps during ranging markets. Barcolor or Background Highlighting: For visual clarity, adding barcoloring based on aggressive buying/selling might amplify signal visibility. Entry/Exit Potential: Consider integrating a simple crossover strategy to simulate entries based on these signals—especially since you're already working on a Nifty 50 script with market psychology in mind.
Pine Script® indicator
by m_vinodrufus_stocks
High/LowPrevious Day High/Low & Weekly Open Indicator A clean and simple indicator that displays key reference levels for intraday trading. Features: Previous day's high and low levels Current week's opening price Auto-hides levels once broken (prevents clutter) Resets automatically at the start of each trading day No repainting - uses proper security function calls How it works: The indicator plots yesterday's high/low as horizontal lines on your chart. When price breaks above the previous day's high, that level disappears. Same for the low. This keeps your chart clean and shows only unbroken levels. Perfect for: Day traders using previous day's range as reference Breakout trading strategies Support/resistance analysis Clean chart setup without manual level drawing The cyan lines show previous day's high/low, while the orange line displays the weekly open. All levels use non-repainting data for reliable backtesting.
Pine Script® indicator
by RabeInvest
Unified Strategy Traffic Light + Trend Trader Description: The Trend Trader strategy leverages the power of moving averages (MAs) and MACD to identify market trends and capitalize on momentum shifts. This indicator is ideal for traders seeking consistent signals for both entry and exit points, making it versatile across various markets, including stocks, forex, and commodities. Key Features: Dynamic Trend Detection: Short and long-term moving averages (MAs) provide insights into the current market trend. Crossovers between MAs signal potential buy or sell opportunities. MACD Confirmation: Combines MA crossovers with MACD for double confirmation of trend changes. Color-coded background highlights bullish or bearish momentum during active trading sessions. Session Customization: Allows traders to focus on specific trading hours by customizing session times. Ensures the strategy aligns with your preferred trading schedule. Instrument-Specific Targeting: Tailored targets for popular instruments like US30, NDX100, GER40, and GOLD. Adaptable to different volatility profiles and market behaviors. How to Use: Buy Signal: When the short MA crosses above the long MA, confirmed by MACD trending upward. Sell Signal: When the short MA crosses below the long MA, confirmed by MACD trending downward. Background Colors: Green indicates bullish momentum; red highlights bearish momentum during the session. Benefits: Enhances trend-following strategies by reducing noise and false signals. Suitable for both short-term scalping and long-term trend trading. Highly customizable for different trading styles and instruments. Tags: Trend Trader, Moving Average Crossover, MACD, Forex, Stocks, Scalping, Swing Trading, Long, Short, TradingView Indicator. Additional Instructions: Ensure session times and target levels are tailored to your trading strategy.
Pine Script® indicator
by Legacy-28K
Small Body Candle Highlighter//@version=5 indicator("Small Body Candle Highlighter", overlay=true) // Set max difference in points (adjust as needed based on asset's price scale) max_diff = 1.5 // Calculate the open-close difference body_diff = math.abs(close - open) // Conditions small_body = body_diff <= max_diff bullish = close > open bearish = open > close // Colors bull_color = color.new(color.green, 0) bear_color = color.new(color.red, 0) // Plot shapes on qualifying candles plotshape(small_body and bullish, location=location.abovebar, color=bull_color, style=shape.circle, size=size.small, title="Bullish Small Body") plotshape(small_body and bearish, location=location.belowbar, color=bear_color, style=shape.circle, size=size.small, title="Bearish Small Body")
Pine Script® indicator
by thought_eng
📅 Non-Euclidean Fib Gibbonaci📅 *Non-Euclidean Fib Gibbonaci** This indicator dynamically identifies high-probability liquidity zones using a combination of **weekly market structure**, **asymmetric Fibonacci geometry**, and **volume clustering**. ### 🔍 **What It Does:** * **Detects Weekly Structure Shifts:** Automatically checks each new week for a break in weekly highs or lows. If a structural change is detected, all liquidity levels are recalculated. * **Builds Non-Euclidean Fibonacci Ranges:** Instead of traditional swing-based Fibs, this indicator creates a **distorted Fibonacci zone** around the weekly close using the Golden Ratio (φ ≈ 1.618). This generates asymmetric, forward-projected Fib levels. * **Volume-Based Liquidity Zones:** For each projected level, volume is accumulated from the past 50 bars when the price closed near that level. These volumes are then **tiered dynamically based on the previous week’s total volume**. * **5 Dynamic Volume Tiers:** Liquidity levels are color-coded based on volume interaction: * 🔴 **Very High** * 🟠 **High** * 🟡 **Mid** * 🔵 **Low** * ⚪ **Very Low** (Thresholds are based on **percentage of last week’s volume**, fully adjustable via settings.) * **Smart Drawing Engine:** * Only draws when structure changes. * Includes inverse bands (bottom-up projections), midlines (optional), and clean auto-clearing of old levels. * Optional labels show Fib level and volume tier. * **Predictive Liquidity Zones:** High-volume extension levels (e.g. Fib 1.272 or above) trigger **"🔺 Potential Top"** and **"🔻 Potential Bottom"** labels, helping to forecast potential exhaustion zones. --- ### ⚙️ **Customizable Settings:** * Enable/disable: * Inverse Fibonacci bands * Midlines between bands * Volume-based labels * Adjust: * Volume tier thresholds (% of prior weekly volume) * Label display filtering (only show top tiers) --- ### ✅ **Best Used For:** * Traders who want to identify **key liquidity zones** based on structural shifts. * Spotting **volume-backed Fib confluences** that may act as magnets or reversal zones. * Forecasting **potential tops/bottoms** using historical price/volume behavior — dynamically, and in context. --- ### 🚫 No Repainting: Once weekly structure is established, levels do not repaint. Volume clustering is based on actual historic bar closes. --- Let me know if you want a shorter version or a version with emojis minimized for a more formal audience.
Pine Script® indicator
by gleefulApple0010110
Spaghetti 2.0 - Multi-Asset Performance [By Barbell_Fi]This is an updated and more opinionated take on the original Spaghetti indicator. Multi Asset Performance indicator (also called “Spaghetti”) makes it easy to monitor the changes in Price, Open Interest, and On Balance Volume across multiple assets simultaneously, distinguish assets that are overperforming or underperforming, observe the relative strength of different assets or currencies, use it as a tool for identifying mean reversion opportunities and even for constructing pairs trading strategies, detect "risk-on" or "risk-off" periods, evaluate statistical relationships between assets through metrics like correlation and beta, construct hedging strategies, trade rotations and much more. Start by selecting a time period (e.g., 1 DAY) to set the interval for when data is reset. This will provide insight into how price, open interest, and on-balance volume change over your chosen period. In the settings, asset selection is fully customizable, allowing you to create three groups of up to 30 tickers each. These tickers can be displayed in a variety of styles and colors. Additional script settings offer a range of options, including smoothing values with a Simple Moving Average (SMA), highlighting the top or bottom performers, plotting the group mean, applying heatmap/gradient coloring, generating a table with calculations like beta, correlation, and RSI, creating a profile to show asset distribution around the mean, and much more. One of the most important script tools is the screener table, which can display: 🔸 Percentage Change (Represents the return or the percentage increase or decrease in Price/OI/OBV over the current selected period) 🔸 Beta (Represents the sensitivity or responsiveness of asset's returns to the returns of a benchmark/mean. A beta of 1 means the asset moves in tandem with the market. A beta greater than 1 indicates the asset is more volatile than the market, while a beta less than 1 indicates the asset is less volatile. For example, a beta of 1.5 means the asset typically moves 150% as much as the benchmark. If the benchmark goes up 1%, the asset is expected to go up 1.5%, and vice versa.) 🔸 Correlation (Describes the strength and direction of a linear relationship between the asset and the mean. Correlation coefficients range from -1 to +1. A correlation of +1 means that two variables are perfectly positively correlated; as one goes up, the other will go up in exact proportion. A correlation of -1 means they are perfectly negatively correlated; as one goes up, the other will go down in exact proportion. A correlation of 0 means that there is no linear relationship between the variables. For example, a correlation of 0.5 between Asset A and Asset B would suggest that when Asset A moves, Asset B tends to move in the same direction, but not perfectly in tandem.) 🔸 RSI (Measures the speed and change of price movements and is used to identify overbought or oversold conditions of each asset. The RSI ranges from 0 to 100 and is typically used with a time period of 14. Generally, an RSI above 70 indicates that an asset may be overbought, while RSI below 30 signals that an asset may be oversold.) ⚙️ Settings Overview: ◽️ Period Periodic inputs (e.g. daily, monthly, etc.) determine when the values are reset to zero and begin accumulating again until the period is over. This visualizes the net change in the data over each period. The input "Visible Range" is auto-adjustable as it starts the accumulation at the leftmost bar on your chart, displaying the net change in your chart's visible range. There's also the "Timestamp" option, which allows you to select a specific point in time from where the values are accumulated. The timestamp anchor can be dragged to a desired bar via Tradingview's interactive option. Timestamp is particularly useful when looking for outperformers/underperformers after a market-wide move. The input positioned next to the period selection determines the timeframe on which the data is based. It's best to leave it at default (Chart Timeframe) unless you want to check the higher timeframe structure of the data. ◽️ Data The first input in this section determines the data that will be displayed. You can choose between Price, OI, and OBV. The second input lets you select which one out of the three asset groups should be displayed. The symbols in the asset group can be modified in the bottom section of the indicator settings. ◽️ Appearance You can choose to plot the data in the form of lines, circles, areas, and columns. The colors can be selected by choosing one of the six pre-prepared color palettes. ◽️ Labeling This input allows you to show/hide the labels and select their appearance and size. You can choose between Label (colored pointed label), Label and Line (colored pointed label with a line that connects it to the plot), or Text Label (colored text). ◽️ Smoothing If selected, this option will smooth the values using a Simple Moving Average (SMA) with a custom length. This is used to reduce noise and improve the visibility of plotted data. ◽️ Highlight If selected, this option will highlight the top and bottom N (custom number) plots, while shading the others. This makes the symbols with extreme values stand out from the rest. ◽️ Group Mean This input allows you to select the data that will be considered as the group mean. You can choose between Group Average (the average value of all assets in the group) or First Ticker (the value of the ticker that is positioned first on the group's list). The mean is then used in calculations such as correlation (as the second variable) and beta (as a benchmark). You can also choose to plot the mean by clicking on the checkbox. ◽️ Profile If selected, the script will generate a vertical volume profile-like display with 10 zones/nodes, visualizing the distribution of assets below and above the mean. This makes it easy to see how many or what percentage of assets are outperforming or underperforming the mean. ◽️ Gradient If selected, this option will color the plots with a gradient based on the proximity of the value to the upper extreme, zero, and lower extreme. ◽️ Table This section includes several settings for the table's appearance and the data displayed in it. The "Reference Length" input determines the number of bars back that are used for calculating correlation and beta, while "RSI Length" determines the length used for calculating the Relative Strength Index. You can choose the data that should be displayed in the table by using the checkboxes. ◽️ Asset Groups This section allows you to modify the symbols that have been selected to be a part of the 3 asset groups. If you want to change a symbol, you can simply click on the field and type the ticker of another one. You can also show/hide a specific asset by using the checkbox next to the field.
Pine Script® indicator
by barbell_fi
Yelober - Intraday ETF Dashboard# How to Read the Yelober Intraday ETF Dashboard The Intraday ETF Dashboard provides a powerful at-a-glance view of sector performance and trading opportunities. Here's how to interpret and use the information: ## Basic Dashboard Reading ### Color-Coding System - **Green values**: Positive performance or bullish signals - **Red values**: Negative performance or bearish signals - **Symbol colors**: Green = buy signal, Red = sell signal, Gray = neutral ### Example 1: Identifying Strong Sectors If you see XLF (Financials) with: - Day % showing +2.65% (green background) - Symbol in green color - RSI of 58 (not overbought) **Interpretation**: Financial sector is showing strength and momentum without being overextended. Consider long positions in top financial stocks like JPM or BAC. ### Example 2: Spotting Weakness If you see XLK (Technology) with: - Day % showing -1.20% (red background) - Week % showing -3.50% (red background) - Symbol in red color - RSI of 35 (approaching oversold) **Interpretation**: Technology sector is showing weakness across multiple timeframes. Consider avoiding tech stocks or taking short positions in names like MSFT or AAPL, but be cautious as the low RSI suggests a bounce may be coming. ## Advanced Interpretations ### Example 3: Sector Rotation Detection If you observe: - XLE (Energy) showing +2.10% while XLK (Technology) showing -1.50% - Both sectors' Week % values showing the opposite trend **Interpretation**: This suggests money is rotating out of technology into energy stocks. This rotation pattern is actionable - consider reducing tech exposure and increasing energy positions (look at XOM, CVX in the Top Stocks column). ### Example 4: RSI Divergences If you see XLU (Utilities) with: - Day % showing +0.50% (small positive) - RSI showing 72 (overbought, red background) **Interpretation**: Despite positive performance, the high RSI suggests the sector is overextended. This divergence between price and indicator suggests caution - the rally in utilities may be running out of steam. ### Example 5: Relative Strength in Weak Markets If SPY shows -1.20% but XLP (Consumer Staples) shows +0.30%: **Interpretation**: Consumer staples are showing defensive strength during market weakness. This is typical risk-off behavior. Consider defensive positions in stocks like PG, KO, or PEP for protection. ## Practical Application Scenarios ### Day Trading Setup 1. **Morning Market Assessment**: - Check which sectors are green pre-market - Focus on sectors with Day % > 1% and RSI between 40-70 - Identify 2-3 stocks from the Top Stocks column of the strongest sector 2. **Midday Reversal Hunting**: - Look for sectors with symbol color changing from red to green - Confirm with RSI moving away from extremes - Trade stocks from that sector showing similar pattern changes ### Swing Trading Application 1. **Trend Following**: - Identify sectors with positive Day % and Week % - Look for RSI values in uptrend but not overbought (45-65) - Enter positions in top stocks from these sectors, using daily charts for confirmation 2. **Contrarian Setups**: - Find sectors with deeply negative Day % but RSI < 30 - Look for divergence (price making new lows but RSI rising) - Consider counter-trend positions in the stronger stocks within these oversold sectors ## Reading Special Conditions ### Example 6: Risk-Off Environment If you observe: - XLP (Consumer Staples) and XLU (Utilities) both green - XLK (Technology) and XLY (Consumer Disc) both red - SPY slightly negative **Interpretation**: Classic risk-off rotation. Investors are moving to safety. Consider defensive positioning and reducing exposure to growth sectors. ### Example 7: Market Breadth Analysis Count the number of sectors in green vs. red: - If 7+ sectors are green: Strong bullish breadth, consider aggressive long positioning - If 7+ sectors are red: Weak market breadth, consider defensive positioning or shorts - If evenly split: Market is indecisive, focus on specific sector strength instead of broad market exposure Remember that this dashboard is most effective when combined with broader market analysis and appropriate risk management strategies.
Pine Script® indicator
by yelober
[FS] Time & Cycles Time & Cycles A comprehensive trading session indicator that helps traders identify and track key market sessions and their price levels. This tool is particularly useful for forex and futures traders who need to monitor multiple trading sessions. Key Features: • Multiple Session Support: - London Session - New York Session - Sydney Session - Asia Session - Customizable TBD Session • Session Visualization: - Clear session boxes with customizable colors - Session labels with adjustable visibility - Support for sessions crossing midnight - Timezone-aware calculations • Price Level Tracking: - Daily High/Low levels - Weekly High/Low levels - Previous session High/Low levels - Customizable history depth for each level type • Customization Options: - Adjustable colors for each session - Customizable border styles - Label visibility controls - Timezone selection - History level depth settings • Technical Features: - High-performance calculation engine - Support for multiple timeframes - Efficient memory usage - Clean and intuitive visual display Perfect for: • Forex traders monitoring multiple sessions • Futures traders tracking market hours • Swing traders identifying key session levels • Day traders planning their trading hours • Market analysts studying session patterns The indicator helps traders: - Identify active trading sessions - Track session-specific price levels - Monitor market activity across different time zones - Plan trades based on session boundaries - Analyze price action within specific sessions Note: This indicator is designed to work across all timeframes and is optimized for performance with minimal impact on chart loading times.
Pine Script® indicator
by SF_Trade
Vix FIX / StochRSI StrategyVix FIX / StochRSI Strategy — Smart Gold Trading with Market Fear Detection Pine Script Version 6 | Timeframe: 1H | Supports Long & Short 🔍 Strategy Overview: This strategy is designed for trading gold and other highly volatile assets. It combines three powerful components: Williams VIX Fix (WVF) – A fear-based volatility indicator inspired by the CBOE VIX Index, adapted for non-index assets. Stochastic RSI – Measures overbought and oversold momentum, used as an exit trigger. Price Action Filters – Confirms strong bullish or bearish bars to trigger high-conviction entries. 📌 Entry Conditions: ✅ Long Entry WVF indicates the end of fear (mean reversion signal). Bullish momentum bar (upRange). Price is higher than n bars ago but still below medium/long-term recent highs. ✅ Short Entry WVF indicates the market just cooled down from fear. Bearish momentum bar (downRange). Price is lower than n bars ago but still above recent lows. 📌 Exit Conditions: 🔴 Exit Long when Stochastic Overbought + %K cross below %D 🔵 Exit Short when Stochastic Oversold + %K cross above %D 📊 Key Features: Dual-side entries (Long & Short) Timeframe-limited to 1 Hour (60 minutes) for consistent signal quality Ideal for gold and volatile assets (crypto, index CFDs) Backtested with strong performance across major pairs
Pine Script® strategy
by Bosschai
1
Log Regression Oscillator (caN)fi(ki)=>'ra' // This Pine Script™ code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org // © fikira //@version=6 indicator('Log Regression Oscillator', max_bars_back=5000, max_labels_count=500, max_lines_count=500, overlay=false) ________________________________________________________________________________________________________________________ =' ⎞ Settings ⎛ (__--------__) ' cGREEN = #089981, cRED = #F23645, cGRAY = #757a79 threshold = input.int (300 , minval=150) proactive = input.bool (false ) GRE = input.color(cGREEN , 'Bull' , group='Style' ) RED = input.color(cRED , 'Bear' , group='Style' ) GRY = input.color(cGRAY , 'Unconfirmed Bull/Bear' , group='Style' ) showDsh = input.bool ( true , 'Show Dashboard' , group='Dashboard' ) dshLoc = str.replace(str.lower(input.string('Top Right', 'Location', group='Dashboard', options= )), ' ', '_') txtSize = str.lower(input.string('Normal' , 'Size' , group='Dashboard', options= ) ) ________________________________________________________________________________________________________________________ :=' ⎞ Constants and general variables ⎛ (__-------------------------------__) ' INV = color(na) n = bar_index ________________________________________________________________________________________________________________________ :=' ⎞ Functions ⎛ (__---------__) ' dot(x, y)=> if x.size() > 1 and y.size() > 1 m1 = matrix.new() m2 = matrix.new() m1.add_col(m1.columns(), y) m2.add_row(m2.rows (), x) m1.mult (m2) .eigenvalues() .sum() //Closed form solution to best fit log function log_reg(log_x, log_x2, log_y) => sum_log_x = log_x . sum() sum_y = log_y . sum() sum_log_x_y = dot(log_x ,log_y) sum_log_x_sq = log_x2 . sum() n_ = log_x .size() //Closed-form solutions for a and b a = (n_ * sum_log_x_y - sum_log_x * sum_y) / (n_ * sum_log_x_sq - math.pow(sum_log_x , 2)) b = ( sum_y - a * sum_log_x ) / n_ //Variables declared for draw() var arrayarr = array.new(4, na) proActH = false, proActL = false var lastHi = 0., var lastLi = 0. draw(aTop_x, aTop_x2, aTop_y, aBot_x, aBot_x2, aBot_y, top_points, prc_points, btm_points, refit) => var label labH = na, var label labL = na vTop = 0. vBtm = 0. if refit top_points.clear(), prc_points.clear(), btm_points.clear() = log_reg(aTop_x, aTop_x2, aTop_y), arr.set(0, a_top), arr.set(1, b_top) = log_reg(aBot_x, aBot_x2, aBot_y), arr.set(2, a_btm), arr.set(3, b_btm) for i = 0 to n top = math.exp(a_top * math.log(i) + b_top) btm = math.exp(a_btm * math.log(i) + b_btm) avg = math.avg(top, btm) if i == n vTop := top vBtm := btm ix = n - i if ix < 4999 hi = high lo = low cl = close getC = hi > avg ? hi : lo < avg ? lo : cl prc_points.push(chart.point.from_index(i, 100 * math.max(-1.5, math.min(1.5, (getC - btm) / (top - btm))))) for lab in label.all lab.delete() firstH = proactive ? true : false firstL = proactive ? true : false color colH = na, color colL = na sz = prc_points.size() if aTop_x.size() > 0 for i = aTop_x.size() -1 to 0 idx = int(math.exp(aTop_x.get(i))) if idx < sz and idx > n - 5000 and idx >= 0 if firstH if aTop_x.last() != lastHi colH := GRY firstH := false else colH := RED else colH := RED top = math.exp(a_top * math.log(idx) + b_top) btm = math.exp(a_btm * math.log(idx) + b_btm) label.new(idx , 100 * math.max(-1.5, math.min(1.5, (high - btm) / (top - btm) ) ), '●', textcolor = colH, color=INV, size=8) if aBot_x.size() > 0 for i = aBot_x.size() -1 to 0 idx = int(math.exp(aBot_x.get(i))) if idx < sz and idx > n - 5000 and idx >= 0 if firstL if aBot_x.last() != lastLi colL := GRY firstL := false else colL := GRE else colL := GRE top = math.exp(a_top * math.log(idx) + b_top) btm = math.exp(a_btm * math.log(idx) + b_btm) label.new(idx , 100 * math.max(-1.5, math.min(1.5, (low - btm) / (top - btm) ) ), '●', textcolor = colL, color=INV, size=8 , style = label.style_label_up) else top = math.exp(arr.get(0) * math.log(n) + arr.get(1)) btm = math.exp(arr.get(2) * math.log(n) + arr.get(3)) avg = math.avg(top, btm) vTop := top vBtm := btm hi = high, lo = low, cl = close getC = hi > avg ? hi : lo < avg ? lo : cl prc_points.push(chart.point.from_index(n, 100 * math.max(-1.5, math.min(1.5, (getC - btm) / (top - btm))))) for poly in polyline.all poly.delete() if barstate.islast labH.delete(), labH := label.new(n, 100, str.tostring(vTop, format.mintick), color=color.new(chart.fg_color, 85), textcolor=RED, style=label.style_label_lower_left, size=12) labL.delete(), labL := label.new(n, 0, str.tostring(vBtm, format.mintick), color=color.new(chart.fg_color, 85), textcolor=GRE, style=label.style_label_upper_left, size=12) polyline.new(prc_points.size() >= 5000 ? prc_points.slice(prc_points.size()-4999, prc_points.size()-1) : prc_points, line_color=chart.fg_color) ________________________________________________________________________________________________________________________ :=' ⎞ Variables ⎛ (__---------__) ' //bool trigerring fit refit = false var top_points = array.new(0) var prc_points = array.new(0) var btm_points = array.new(0) //Variables arrays var peaks_y = array.new(0) var peaks_x = array.new(0) var peaks_x2 = array.new(0) var btms_y = array.new(0) var btms_x = array.new(0) var btms_x2 = array.new(0) var tb = table.new(dshLoc, 4, 8 , bgcolor = #1e222d , border_color = #373a46 , border_width = 1 , frame_color = #373a46 , frame_width = 1) ________________________________________________________________________________________________________________________ :=' ⎞ Exec ⎛ (__----__) ' //Top Bottom detection max = ta.max(high) var min = low min := max == high ? low : math.min(low , min) barsmax = ta.barssince(high == max) barsmin = ta.barssince(low == min) if barsmax == threshold nmax = n-barsmax if peaks_x .size() > 0 and peaks_x.last() != lastHi peaks_y .set(-1, math.log( max) ) peaks_x .set(-1, math.log(nmax) ) peaks_x2.set(-1, math.pow(math.log(nmax), 2)) else peaks_y .push( math.log(max) ) peaks_x .push( math.log(nmax) ) peaks_x2.push( math.pow(math.log(nmax), 2)) lastHi := math.log(nmax) refit := true else min := math.min(low , min) if barsmin == threshold nmin = n-barsmin if btms_x .size() > 0 and btms_x.last() != lastLi btms_y .set(-1, math.log(min) ) btms_x .set(-1, math.log(nmin) ) btms_x2 .set(-1, math.pow(math.log(nmin), 2)) else btms_y .push( math.log( min) ) btms_x .push( math.log(nmin) ) btms_x2.push( math.pow(math.log(nmin), 2)) lastLi := math.log(nmin) refit := true chMax = ta.change(max) , chMin = ta.change(min) if (chMax != 0 or chMin != 0) and proactive and not refit and n > threshold = log_reg(peaks_x, peaks_x2, peaks_y) = log_reg( btms_x, btms_x2, btms_y) top = math.exp(a_top * math.log(n) + b_top) btm = math.exp(a_btm * math.log(n) + b_btm) if 100 * ((high - btm) / (top - btm)) > 90 if peaks_x.last() == lastHi peaks_y .push(math.log(max)) peaks_x .push(math.log(n)) peaks_x2.push(math.log(n) *math.log(n)) else peaks_y .set(-1, math.log(max)) peaks_x .set(-1, math.log(n)) peaks_x2.set(-1, math.log(n) * math.log(n)) arr.set(0, a_top), arr.set(1, b_top) arr.set(2, a_btm), arr.set(3, b_btm) refit := true proActH := true if 100 * ((low - btm) / (top - btm)) < 10 if btms_x.last() == lastLi btms_y .push(math.log(min)) btms_x .push(math.log(n)) btms_x2.push(math.log(n) *math.log(n)) else btms_y .set(-1, math.log(min)) btms_x .set(-1, math.log(n)) btms_x2.set(-1, math.log(n) * math.log(n)) arr.set(0, a_top), arr.set(1, b_top) arr.set(2, a_btm), arr.set(3, b_btm) refit := true proActL := true enough = peaks_x.size() > 1 and btms_x.size() > 1 if enough draw(peaks_x, peaks_x2, peaks_y, btms_x, btms_x2, btms_y, top_points, prc_points, btm_points, refit) else if barstate.islast txt = '' if peaks_x.size() < 2 txt += str.format('{0} Top Swing', peaks_x.size()) if btms_x .size() < 2 if txt != '' txt += ', ' txt += str.format('{0} Bottom Swing', btms_x .size()) txt += ' Change "Threshold" or timeframe for more Swings' tb.cell(0, 0, txt, text_color=chart.fg_color, text_size=txtSize) ________________________________________________________________________________________________________________________ :=' ⎞ Plot ⎛ (__----__) ' plot(n%2==0? 30 : na,'30' , color=color.new(chart.fg_color, 50), style=plot.style_linebr, display=display.pane) plot(n%2==0? 70 : na,'70' , color=color.new(chart.fg_color, 50), style=plot.style_linebr, display=display.pane) _100 = plot(100, 'na(100)', display=display.none) _70 = plot( 70, 'na(70)' , display=display.none) _60 = plot( 60, 'na(60)' , display=display.none) _50 = plot( 50, 'na(50)' , display=display.none) _40 = plot( 40, 'na(40)' , display=display.none) _30 = plot( 30, 'na(30)' , display=display.none) _00 = plot( 0, 'na(0)' , display=display.none) fill(_100, _70, 100, 70, color.new(RED, 50), INV) fill( _60, _50, 60, 50, INV, color.new(chart.fg_color, 85)) fill( _50, _40, 50, 40, color.new(chart.fg_color, 85), INV) fill( _30, _00, 30, 0, INV, color.new(GRE, 75)) ________________________________________________________________________________________________________________________ :=' ⎞ End ⎛ (__---__) '
Pine Script® indicator
by cancaliskan2516
log regression forex and altcoin dom (caN)(0-100 Range)NO REPAİNTİNG Stablecoin Dominance Indicator The Stablecoin Dominance Indicator is a powerful tool designed to analyze the relative dominance of stablecoins within the cryptocurrency market. It utilizes a combination of regression analysis and standard deviation to provide valuable insights into market sentiment and potential turning points. This indicator is particularly useful for traders and investors looking to make informed decisions in the dynamic world of cryptocurrencies. How to Read the Indicator: The Stablecoin Dominance Indicator comprises three key lines, each serving a specific purpose: Middle Line (Regression Line): The middle line represents the Regression Line of stablecoin dominance, acting as a baseline showing the average or mean dominance of stablecoins in the market. When the stablecoin dominance hovers around this middle line, it suggests a relatively stable market sentiment with no extreme overbought or oversold conditions. Upper Line (2 Standard Deviations Above Mean): The upper line, positioned 2 standard deviations above the Regression Line, indicates a significant deviation from the mean. When stablecoin dominance approaches or surpasses this upper line, it may imply that the cryptocurrency market is experiencing oversold conditions, potentially signaling a market bottom. This is an opportune time for traders to consider increasing their exposure to cryptocurrencies. Lower Line (2 Standard Deviations Below Mean): The lower line, positioned 2 standard deviations below the Regression Line, shows a significant deviation in the opposite direction, indicating overbought conditions. When stablecoin dominance approaches or falls below this lower line, it suggests overbought conditions in the market, possibly indicating a market top. Traders may consider reducing their cryptocurrency holdings or taking profits during this phase. It's important to note that the Stablecoin Dominance Indicator should be used in conjunction with other analysis tools and strategies. By understanding and applying the insights provided by this indicator, traders and investors can make more informed decisions in the ever-changing cryptocurrency landscape, potentially enhancing their trading strategies and risk management practices.
Pine Script® indicator
by cancaliskan2516
EMA 65 and 200 Strategy (Updated)//@version=5 strategy("EMA 65 and 200 Strategy (Updated)", overlay=true, default_qty_type=strategy.percent_of_equity, default_qty_value=10) // Define EMAs ema65 = ta.ema(close, 65) ema200 = ta.ema(close, 200) // Plot EMAs plot(ema65, color=color.blue, linewidth=2, title="EMA 65") plot(ema200, color=color.red, linewidth=2, title="EMA 200") // Conditions for sell entry (Price touching EMA65 or EMA200 with a bearish trend) sell_condition = (close < ema65 and close > ema65) or (close < ema200 and close > ema200) sell_stop_loss = close + 20 // 20 points above the entry sell_take_profit = close - 10 // 10 points below the entry // Conditions for buy entry (Price touching EMA65 or EMA200 with a bullish trend) buy_condition = (close > ema65 and close < ema65) or (close > ema200 and close < ema200) buy_stop_loss = close - 20 // 20 points below the entry buy_take_profit = close + 10 // 10 points above the entry // Strategy execution: Buy and Sell orders if (sell_condition) strategy.entry("Sell", strategy.short, stop=sell_stop_loss, limit=sell_take_profit) if (buy_condition) strategy.entry("Buy", strategy.long, stop=buy_stop_loss, limit=buy_take_profit) // Plot buy and sell signals plotshape(series=sell_condition, location=location.abovebar, color=color.red, style=shape.labeldown, title="Sell Signal", text="SELL") plotshape(series=buy_condition, location=location.belowbar, color=color.green, style=shape.labelup, title="Buy Signal", text="BUY") // Draw stop loss and take profit levels for visualization plot(sell_condition ? sell_stop_loss : na, color=color.red, style=plot.style_line, linewidth=1, title="Sell Stop Loss") plot(sell_condition ? sell_take_profit : na, color=color.green, style=plot.style_line, linewidth=1, title="Sell Take Profit") plot(buy_condition ? buy_stop_loss : na, color=color.red, style=plot.style_line, linewidth=1, title="Buy Stop Loss") plot(buy_condition ? buy_take_profit : na, color=color.green, style=plot.style_line, linewidth=1, title="Buy Take Profit")
Pine Script® strategy
by hamadmalik730