OBHOW-TO: Advanced Order Block & Liquidity Mapping Tool
This script combines order block detection using 3- and 5-bar fractal structures with dynamic and static liquidity zones, plus optional time-based label calculations.
Key features:
– Fractal-based detection of bullish and bearish order blocks
– Automatic removal of broken OBs to keep charts clean
– Optional FVG validation for higher-quality OBs
– Custom time label logic for bar/session analysis
– Configurable visuals: line styles, widths, label placement, and time offsets
The logic for liquidity detection is adapted from the open-source LiquidityFinderLibrary by TFlab. This version adds custom cleanup behavior and visual enhancements to improve usability.
This script is published as open-source and intended for educational and analytical use only. No performance guarantees are implied.
If you have questions or suggestions, feel free to message me privately on TradingView.
Indicadores e estratégias
_CM_MacD_Ult_MTF_V2.1//------New V2 Update 07-28-2021----------
//Thanks to @SKTennis for help in Updating code to V2
//Added Groups to Settings Pane.
//Added Color Plots to Settings Pane
//Switched MTF Logic to turn ON/OFF automatically w/ TradingView's Built in Feature
//Updated Color Transparency plots to work in future update
//Added Ability to Turn ON/OFF Show MacD & Signal Line
//Added Ability to Turn ON/OFF Show Histogram
//Added Ability to Change MACD Line Colors Based on Trend
//Added Ability to Highlight Price Bars Based on Trend
//Added Alerts to Settings Pane.
//Customized how Alerts work. Must keep Checked in Settings Pane, and...
//When you go to Alerts Panel, Change Symbol to Indicator (CM_Ult_MacD_MTF_V2)
//Customized Alerts to Show Symbol, TimeFrame, Closing Price, MACD Crosses Up & MACD Crosses Down Signals in Alert
//Alerts are Pre-Set to only Alert on Bar Close
//------New V2.1 Update 08-03-2021----------
//Added back in ability to show Dots when MACD Crosses.
//Added Ability to Change Plot Widths in Settings Pane
//Added in Alert Feature where Cross Up if above 0 or cross down if below 0 (OFF By Default) user Request. @creid58
//FIXED - Plot Orders to Default what Plots are on top of each other
//FIXED - Two of the histogrm colors were backwrds
//------New V2.1 Update 12-07-2021----------
//Updated to PineScript V5
//------Minor Update 02-16-2022----------
//Per user request...Increased the Maxval for Signal Smoothing
//Next Add in Plot Types to Settings Pane.
//Next Add in more Moving Average types.
//See Video for Detailed Overview
//@version=5
indicator(title="_CM_MacD_Ult_MTF_V2.1", shorttitle="_CM_Ult_MacD_MTF_V2.1")
//Plot Inputs
res = input.timeframe("", "Indicator TimeFrame")
fast_length = input.int(title="Fast Length", defval=12)
slow_length = input.int(title="Slow Length", defval=26)
src = input.source(title="Source", defval=close)
signal_length = input.int(title="Signal Smoothing", minval = 1, maxval = 999, defval = 9)
sma_source = input.string(title="Oscillator MA Type", defval="EMA", options= )
sma_signal = input.string(title="Signal Line MA Type", defval="EMA", options= )
// Show Plots T/F
show_macd = input.bool(true, title="Show MACD Lines", group="Show Plots?", inline="SP10")
show_macd_LW = input.int(3, minval=0, maxval=5, title = "MACD Width", group="Show Plots?", inline="SP11")
show_signal_LW= input.int(2, minval=0, maxval=5, title = "Signal Width", group="Show Plots?", inline="SP11")
show_Hist = input.bool(true, title="Show Histogram", group="Show Plots?", inline="SP20")
show_hist_LW = input.int(5, minval=0, maxval=5, title = "-- Width", group="Show Plots?", inline="SP20")
show_trend = input.bool(true, title = "Show MACD Lines w/ Trend Color", group="Show Plots?", inline="SP30")
show_HB = input.bool(false, title="Show Highlight Price Bars", group="Show Plots?", inline="SP40")
show_cross = input.bool(false, title = "Show BackGround on Cross", group="Show Plots?", inline="SP50")
show_dots = input.bool(true, title = "Show Circle on Cross", group="Show Plots?", inline="SP60")
show_dots_LW = input.int(5, minval=0, maxval=5, title = "-- Width", group="Show Plots?", inline="SP60")
//show_trend = input(true, title = "Colors MACD Lines w/ Trend Color", group="Show Plots?", inline="SP5")
// MACD Lines colors
col_macd = input.color(#FF6D00, "MACD Line ", group="Color Settings", inline="CS1")
col_signal = input.color(#2962FF, "Signal Line ", group="Color Settings", inline="CS1")
col_trnd_Up = input.color(#4BAF4F, "Trend Up ", group="Color Settings", inline="CS2")
col_trnd_Dn = input.color(#B71D1C, "Trend Down ", group="Color Settings", inline="CS2")
// Histogram Colors
col_grow_above = input.color(#26A69A, "Above Grow", group="Histogram Colors", inline="Hist10")
col_fall_above = input.color(#B2DFDB, "Fall", group="Histogram Colors", inline="Hist10")
col_grow_below = input.color(#FF5252, "Below Grow", group="Histogram Colors", inline="Hist20")
col_fall_below = input.color(#FFCDD2, "Fall", group="Histogram Colors", inline="Hist20")
// Alerts T/F Inputs
alert_Long = input.bool(true, title = "MACD Cross Up", group = "Alerts", inline="Alert10")
alert_Short = input.bool(true, title = "MACD Cross Dn", group = "Alerts", inline="Alert10")
alert_Long_A = input.bool(false, title = "MACD Cross Up & > 0", group = "Alerts", inline="Alert20")
alert_Short_B = input.bool(false, title = "MACD Cross Dn & < 0", group = "Alerts", inline="Alert20")
// Calculating
fast_ma = request.security(syminfo.tickerid, res, sma_source == "SMA" ? ta.sma(src, fast_length) : ta.ema(src, fast_length))
slow_ma = request.security(syminfo.tickerid, res, sma_source == "SMA" ? ta.sma(src, slow_length) : ta.ema(src, slow_length))
macd = fast_ma - slow_ma
signal = request.security(syminfo.tickerid, res, sma_signal == "SMA" ? ta.sma(macd, signal_length) : ta.ema(macd, signal_length))
hist = macd - signal
// MACD Trend and Cross Up/Down conditions
trend_up = macd > signal
trend_dn = macd < signal
cross_UP = signal >= macd and signal < macd
cross_DN = signal <= macd and signal > macd
cross_UP_A = (signal >= macd and signal < macd) and macd > 0
cross_DN_B = (signal <= macd and signal > macd) and macd < 0
// Condition that changes Color of MACD Line if Show Trend is turned on..
trend_col = show_trend and trend_up ? col_trnd_Up : trend_up ? col_macd : show_trend and trend_dn ? col_trnd_Dn: trend_dn ? col_macd : na
//Var Statements for Histogram Color Change
var bool histA_IsUp = false
var bool histA_IsDown = false
var bool histB_IsDown = false
var bool histB_IsUp = false
histA_IsUp := hist == hist ? histA_IsUp : hist > hist and hist > 0
histA_IsDown := hist == hist ? histA_IsDown : hist < hist and hist > 0
histB_IsDown := hist == hist ? histB_IsDown : hist < hist and hist <= 0
histB_IsUp := hist == hist ? histB_IsUp : hist > hist and hist <= 0
hist_col = histA_IsUp ? col_grow_above : histA_IsDown ? col_fall_above : histB_IsDown ? col_grow_below : histB_IsUp ? col_fall_below :color.silver
// Plot Statements
//Background Color
bgcolor(show_cross and cross_UP ? col_trnd_Up : na, editable=false)
bgcolor(show_cross and cross_DN ? col_trnd_Dn : na, editable=false)
//Highlight Price Bars
barcolor(show_HB and trend_up ? col_trnd_Up : na, title="Trend Up", offset = 0, editable=false)
barcolor(show_HB and trend_dn ? col_trnd_Dn : na, title="Trend Dn", offset = 0, editable=false)
//Regular Plots
plot(show_Hist and hist ? hist : na, title="Histogram", style=plot.style_columns, color=color.new(hist_col ,0),linewidth=show_hist_LW)
plot(show_macd and signal ? signal : na, title="Signal", color=color.new(col_signal, 0), style=plot.style_line ,linewidth=show_signal_LW)
plot(show_macd and macd ? macd : na, title="MACD", color=color.new(trend_col, 0), style=plot.style_line ,linewidth=show_macd_LW)
hline(0, title="0 Line", color=color.new(color.gray, 0), linestyle=hline.style_dashed, linewidth=1, editable=false)
plot(show_dots and cross_UP ? macd : na, title="Dots", color=color.new(trend_col ,0), style=plot.style_circles, linewidth=show_dots_LW, editable=false)
plot(show_dots and cross_DN ? macd : na, title="Dots", color=color.new(trend_col ,0), style=plot.style_circles, linewidth=show_dots_LW, editable=false)
//Alerts
if alert_Long and cross_UP
alert("Symbol = (" + syminfo.tickerid + ") TimeFrame = (" + timeframe.period + ") Current Price (" + str.tostring(close) + ") MACD Crosses Up.", alert.freq_once_per_bar_close)
if alert_Short and cross_DN
alert("Symbol = (" + syminfo.tickerid + ") TimeFrame = (" + timeframe.period + ") Current Price (" + str.tostring(close) + ") MACD Crosses Down.", alert.freq_once_per_bar_close)
//Alerts - Stricter Condition - Only Alerts When MACD Crosses UP & MACD > 0 -- Crosses Down & MACD < 0
if alert_Long_A and cross_UP_A
alert("Symbol = (" + syminfo.tickerid + ") TimeFrame = (" + timeframe.period + ") Current Price (" + str.tostring(close) + ") MACD > 0 And Crosses Up.", alert.freq_once_per_bar_close)
if alert_Short_B and cross_DN_B
alert("Symbol = (" + syminfo.tickerid + ") TimeFrame = (" + timeframe.period + ") Current Price (" + str.tostring(close) + ") MACD < 0 And Crosses Down.", alert.freq_once_per_bar_close)
//End Code
Bilateral Filter For Loop [BackQuant]Bilateral Filter For Loop
The Bilateral Filter For Loop is an advanced technical indicator designed to filter out market noise and smooth out price data, thus improving the identification of underlying market trends. It employs a bilateral filter, which is a sophisticated non-linear filter commonly used in image processing and price time series analysis. By considering both spatial and range differences between price points, this filter is highly effective at preserving significant trends while reducing random fluctuations, ultimately making it suitable for dynamic trend-following strategies.
Please take the time to read the following:
Key Features
1. Bilateral Filter Calculation:
The bilateral filter is the core of this indicator and works by applying a weight to each data point based on two factors: spatial distance and price range difference. This dual weighting process allows the filter to preserve important price movements while reducing the impact of less relevant fluctuations. The filter uses two primary parameters:
Spatial Sigma (σ_d): This parameter adjusts the weight applied based on the distance of each price point from the current price. A larger spatial sigma means more smoothing, as further away values will contribute more heavily to the result.
Range Sigma (σ_r): This parameter controls how much weight is applied based on the difference in price values. Larger price differences result in smaller weights, while similar price values result in larger weights, thereby preserving the trend while filtering out noise.
The output of this filter is a smoothed version of the original price series, which eliminates short-term fluctuations, helping traders focus on longer-term trends. The bilateral filter is applied over a rolling window, adjusting the level of smoothing dynamically based on both the distance between values and their relative price movements.
2. For Loop Calculation for Trend Scoring:
A for-loop is used to calculate the trend score based on the filtered price data. The loop compares the current value to previous values within the specified window, scoring the trend as follows:
+1 for upward movement (when the filtered value is greater than the previous value).
-1 for downward movement (when the filtered value is less than the previous value).
The cumulative result of this loop gives a continuous trend score, which serves as a directional indicator for the market's momentum. By summing the scores over the window period, the loop provides an aggregate value that reflects the overall trend strength. This score helps determine whether the market is experiencing a strong uptrend, downtrend, or sideways movement.
3. Long and Short Conditions:
Once the trend score has been calculated, it is compared against predefined threshold levels:
A long signal is generated when the trend score exceeds the upper threshold, indicating that the market is in a strong uptrend.
A short signal is generated when the trend score crosses below the lower threshold, signaling a potential downtrend or trend reversal.
These conditions provide clear signals for potential entry points, and the color-coding helps traders quickly identify market direction:
Long signals are displayed in green.
Short signals are displayed in red.
These signals are designed to provide high-confidence entries for trend-following strategies, helping traders capture profitable movements in the market.
4. Trend Background and Bar Coloring:
The script offers customizable visual settings to enhance the clarity of the trend signals. Traders can choose to:
Color the bars based on the trend direction: Bars are colored green for long signals and red for short signals.
Change the background color to provide additional context: The background will be shaded green for a bullish trend and red for a bearish trend. This visual feedback helps traders to stay aligned with the prevailing market sentiment.
These features offer a quick visual reference for understanding the market's direction, making it easier for traders to identify when to enter or exit positions.
5. Threshold Lines for Visual Feedback:
Threshold lines are plotted on the chart to represent the predefined long and short levels. These lines act as clear markers for when the market reaches a critical threshold, triggering a potential buy (long) or sell (short) signal. By showing these threshold lines on the chart, traders can quickly gauge the strength of the market and assess whether the trend is strong enough to warrant action.
These thresholds can be adjusted based on the trader's preferences, allowing them to fine-tune the indicator for different market conditions or asset behaviors.
6. Customizable Parameters for Flexibility:
The indicator offers several parameters that can be adjusted to suit individual trading preferences:
Window Period (Bilateral Filter): The window size determines how many past price values are used to calculate the bilateral filter. A larger window increases smoothing, while a smaller window results in more responsive, but noisier, data.
Spatial Sigma (σ_d) and Range Sigma (σ_r): These values control how sensitive the filter is to price changes and the distance between data points. Fine-tuning these parameters allows traders to adjust the degree of noise reduction applied to the price series.
Threshold Levels: The upper and lower thresholds determine when the trend score crosses into long or short territory. These levels can be customized to better match the trader's risk tolerance or asset characteristics.
Visual Settings: Traders can customize the appearance of the chart, including the line width of trend signals, bar colors, and background shading, to make the indicator more readable and aligned with their charting style.
7. Alerts for Trend Reversals:
The indicator includes alert conditions for real-time notifications when the market crosses the defined thresholds. Traders can set alerts to be notified when:
The trend score crosses the long threshold, signaling an uptrend.
The trend score crosses the short threshold, signaling a downtrend.
These alerts provide timely information, allowing traders to take immediate action when the market shows a significant change in direction.
Final Thoughts
The Bilateral Filter For Loop indicator is a robust tool for trend-following traders who wish to reduce market noise and focus on the underlying trend. By applying the bilateral filter and calculating trend scores, this indicator helps traders identify strong uptrends and downtrends, providing reliable entry signals with minimal market noise. The customizable parameters, visual feedback, and alerting system make it a versatile tool for traders seeking to improve their timing and capture profitable market movements.
Thus following all of the key points here are some sample backtests on the 1D Chart
Disclaimer: Backtests are based off past results, and are not indicative of the future.
INDEX:BTCUSD
INDEX:ETHUSD
CRYPTO:SOLUSD
Daily trend by TrendsniperAlgoDaily trend by TrendsniperAlgo
Day's trend for better idea of premarket
A+ Trade Checklist (Table Only)This is the only A+ trading checklist you'll ever need.
Let me know if you'd like anything added!
If you want to help my journey USDT address is below :)
Network
BNB Smart Chain
0x539c59b98b6ee346072dd2bafbf9418dad475dbc
Follow my insta:
@liviupircalabu10
BTC ETF Flows & Correlation with BTC Pricebtc etf flows and correlation with btc price, btc etf flows and correlation with btc price, btc etf flows and correlation with btc price, btc etf flows and correlation with btc price
ATR Bands PRO + Sweep Label + Divergence [MASTER]🔰 ATR Bands PRO + Liquidity Sweep & Divergence (RSI/MACD)
## 🔰 ATR Bands PRO + Liquidity Sweep & Divergence
A powerful institutional-grade toolkit that combines advanced ATR band visualization, customizable stop bands, dynamic grid lines, real-time liquidity sweep detection, and built-in swing-point divergence signals (RSI/MACD) – all fully adjustable.
**Key Features:**
- **Multi-Timeframe ATR Bands:**
Visualize ATR-based bands from any higher timeframe, fully customizable in color, width, style, and extension.
- **Smart Stops & Grid:**
Add stop bands and dynamic ATR grid lines with user control over appearance and step.
- **Liquidity Sweep Detection:**
Instantly see “Bull Sweep” or “Bear Sweep” labels every time price touches high/low liquidity sweeps from your chosen timeframe.
- **Divergence Alerts (RSI/MACD):**
Detect bullish or bearish divergence at swing highs/lows (on the main timeframe) – complete with highly visible, color-customizable labels.
- **Professional, Non-Cluttered Visuals:**
All labels and lines are managed with smart array handling – zero repaint, zero overlay clutter.
**How to Use:**
1. Choose your ATR “base” timeframe and customize band/stop/grid appearance.
2. Pick the Liquidity Sweep timeframe (e.g., H1, H4, D1) for institutional swing levels.
3. Enable divergence detection (RSI or MACD) to reveal hidden reversal signals at market pivots.
4. Adjust label offsets and colors for maximum clarity on your chart.
**Perfect for:**
- Liquidity-driven scalping, swing, and positional strategies.
- Spotting liquidity grabs, institutional sweeps, and “trap” price action.
- Fast visual confirmation of potential reversal zones using built-in divergence signals.
- Traders who demand high-performance, flexible visuals without chart clutter.
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**Credit:**
Original logic inspired by RunStrat, AlgoAlpha, and custom adaptations by MILO888.
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*For educational and professional use. Test on your own symbol/timeframe before live trading. Enjoy an edge!*
SUPER-MAGFLXMAGFLX
Made a bunch of these for different sectors, then realized they’re all basically the same—so you really only need one.
Here it is, with a few extra features like customizable display position and metric options.
Track 1 to 20+ tickers, your way, all in one clean, versatile template.
Features & Uses
Custom Ticker List: Enter any tickers you want to track—mix and match sectors or asset classes freely.
Flexible Display: Choose where the table appears on your chart (top-right, top-left, bottom-right, bottom-left).
Metric Options: Toggle on/off daily percentage change, current price, and price difference columns based on what you want to monitor.
Highlight Movers: Automatically spot and highlight the biggest gainer and biggest loser each day for quick insights.
Compact & Efficient: Fits neatly on your chart without clutter, whether tracking 1 ticker or 20+.
Color-Coded Data: Intuitive colors make it easy to spot gains, losses, and key movers at a glance.
User-Friendly: No coding needed—simply input your tickers and preferences to tailor your watchlist instantly.
Use it to:
Monitor your portfolio across multiple sectors in one place.
Quickly spot daily winners and losers.
Keep an eye on price trends and changes without opening multiple charts.
Save chart space while gaining market clarity.
Any comments welcomed there is no way to tell if a public script is being used right ? so if you use and like it give it boost or a comment to let me know
OBV PanelOBV Panel – Volume-Based Price Prediction & Signal Dashboard
Powered by Pine Script v6
🔍 Overview
This multi-functional indicator is designed around the On-Balance Volume (OBV) concept, enhancing it with prediction models, trend tracking, and actionable buy/sell signals. It uses a combination of real-time OBV movement, smoothed OBV with EMA, and linear regression-based OBV forecasts to deliver both intraday and weekly insights — all neatly displayed in a table panel and directly plotted on your chart.
⚙️ Core Components
📌 1. OBV Core
OBV is calculated based on volume flowing into or out of a stock as price moves up or down.
Tracks raw OBV and its EMA (Exponential Moving Average) for smoother trend reading.
Computes a Predicted OBV using Linear Regression (ta.linreg) over a user-defined number of bars.
🔮 2. Predicted Price Forecast
Uses OBV percentage changes combined with a user-set sensitivity factor to project next day’s expected price.
Offers an AI-style price forecast based on OBV strength, not just price action.
💹 3. Buy/Sell Signal Logic
Daily Signals: Triggered when OBV, OBV EMA, and Predicted OBV all move upward or downward from the previous day.
Weekly Signals: Based on EMA changes over a 5-bar period (approx. 1 week).
Signal markers are drawn on the chart for visual reference.
📊 Table Panel (Top-Right Overlay)
A detailed visual panel shows:
Metric Description
OBV, OBV EMA, Predicted OBV From previous close to current value
OBV - Predicted OBV Difference In lakhs (scaled for readability)
% Change Stats Daily percentage change in OBV, EMA, and Predicted OBV
Weekly OBV EMA Change Actual & % change over 5 bars
Signal Summary BUY/SELL or HOLD based on logic
OBV Dominance Whether OBV > EMA and Predicted OBV
Predicted Price (Next Day) Based on OBV dynamics and sensitivity
Low Liquidity Marker📘 Indicator Description – Low Liquidity Marker
The Low Liquidity Marker is a simple yet powerful tool designed to highlight candles where Volume × Low Price falls below a customizable threshold — signaling potential low liquidity zones on the chart.
🔍 How it works:
It calculates volume × low for each candle.
When this value drops below your defined threshold, a red triangle is plotted below that bar.
These bars may indicate poor institutional participation or market inefficiency.
⚠️ Why it matters:
Low liquidity makes it difficult to build or exit large positions efficiently.
Stocks or instruments flagged by this tool may be suitable for small capital investments but are generally unsuitable for high-volume or institutional-grade trading.
Use this indicator to filter out illiquid setups when screening for quality trades.
🛠 Customizable Input:
Volume × Low Threshold: Tune this parameter based on your instrument or trading timeframe.
💡 Ideal For:
Retail traders avoiding illiquid zones.
Investors wanting to identify where the market lacks sufficient depth.
Enhancing trade filters in systematic or discretionary setups.
내 스크립트//@version=5
indicator("Support/Resistance Scalping Strategy", overlay=true)
// === 사용자 설정 ===
support_level = input.float(101000, title="지지선", step=10)
resistance_level = input.float(104000, title="저항선", step=10)
rsi = ta.rsi(close, 14)
bb_upper = ta.bb(close, 20, 2).upper
bb_lower = ta.bb(close, 20, 2).lower
// === 조건 ===
// 롱 조건: 지지선 근처 도달 + RSI < 40 + 볼린저 하단 근접
long_condition = (low <= support_level * 1.002) and (rsi < 40) and (close <= bb_lower)
plotshape(long_condition, title="Long Signal", location=location.belowbar, color=color.green, style=shape.labelup, text="LONG")
// 숏 조건: 저항선 근처 도달 + RSI > 60 + 볼린저 상단 근접
short_condition = (high >= resistance_level * 0.998) and (rsi > 60) and (close >= bb_upper)
plotshape(short_condition, title="Short Signal", location=location.abovebar, color=color.red, style=shape.labeldown, text="SHORT")
// 시각적 지지/저항선 표시
hline(support_level, "지지선", color=color.green, linestyle=hline.style_dashed)
hline(resistance_level, "저항선", color=color.red, linestyle=hline.style_dashed)
SupertrendThis script is a technical trading system based on the Supertrend indicator applied to traditional candlestick charts. The Supertrend is a popular trend-following indicator that helps identify the prevailing market direction and provides clear entry and exit signals.
✅ Key Features:
Indicator Used: Supertrend (based on ATR - Average True Range)
Chart Type: Regular candlestick (time-based) chart
Buy Signal: Triggered when the price closes above the Supertrend line (trend flips to bullish)
Sell Signal: Triggered when the price closes below the Supertrend line (trend flips to bearish)
Signal Alerts: Optionally, the script can be set to send alerts for each buy/sell signal
Customisable Inputs:
Supertrend period (length) – controls ATR smoothing
Supertrend multiplier (factor) – affects the sensitivity of the trend change
Entry Type: Signals are based on confirmed candle closes, avoiding false signals
Visuals: Colour-coded Supertrend lines (e.g., green for buy, red for sell) for easy trend identification
내 스크립트//@version=5
indicator("Support/Resistance Scalping Strategy", overlay=true)
// === 사용자 설정 ===
support_level = input.float(101000, title="지지선", step=10)
resistance_level = input.float(104000, title="저항선", step=10)
rsi = ta.rsi(close, 14)
bb_upper = ta.bb(close, 20, 2).upper
bb_lower = ta.bb(close, 20, 2).lower
// === 조건 ===
// 롱 조건: 지지선 근처 도달 + RSI < 40 + 볼린저 하단 근접
long_condition = (low <= support_level * 1.002) and (rsi < 40) and (close <= bb_lower)
plotshape(long_condition, title="Long Signal", location=location.belowbar, color=color.green, style=shape.labelup, text="LONG")
// 숏 조건: 저항선 근처 도달 + RSI > 60 + 볼린저 상단 근접
short_condition = (high >= resistance_level * 0.998) and (rsi > 60) and (close >= bb_upper)
plotshape(short_condition, title="Short Signal", location=location.abovebar, color=color.red, style=shape.labeldown, text="SHORT")
// 시각적 지지/저항선 표시
hline(support_level, "지지선", color=color.green, linestyle=hline.style_dashed)
hline(resistance_level, "저항선", color=color.red, linestyle=hline.style_dashed)
Sterke Trendwissel SignalenOverview
The indicator combines three technical analysis tools to generate strong buy and sell signals:
Moving Averages (MA): Short-term (9-period) and long-term (21-period) simple moving averages.
Relative Strength Index (RSI): A 14-period RSI to measure overbought and oversold conditions.
Volume: A volume multiplier (1.2x) compared to the average volume over 20 periods.
Signals
The indicator generates two types of signals:
Strong Buy: When the short-term MA crosses above the long-term MA (bullish crossover), the relative volume is above the threshold (1.2x average), and the RSI is oversold (< 30).
Strong Sell: When the short-term MA crosses below the long-term MA (bearish crossover), the relative volume is above the threshold (1.2x average), and the RSI is overbought (> 70).
Visualizations
The indicator plots:
The short-term MA (blue line)
The long-term MA (orange line)
"STRONG BUY" labels (green) below the bar when a strong buy signal is generated
"STRONG SELL" labels (red) above the bar when a strong sell signal is generated
Alerts
The indicator sets up alerts for strong buy and sell signals, which can be configured in TradingView's alert system.
In summary, this indicator aims to identify strong trend changes by combining moving average crossovers, high volume, and RSI overbought/oversold conditions.
Renko Blocks (Auto Box Size + Advanced Options)
Renko Blocks indicator with auto box sizing and display options:
Box Size Methods:
Traditional (manual)
ATR-based
% of Price
Range-Based
Optional: Adaptive adjustment based on volatility
Display Options:
Chart label
Data window
Enhanced/Simple table with stats (LTP %, trend direction, brick strength, adaptive factor)
Custom table positions
Renko Logic:
Plots real-time Renko blocks on standard price charts
Tracks direction and consecutive bricks
Alerts on trend change
Visual Customization:
Bull/Bear block colors
Wick and border coloring
Multi‑Day Rolling VWAP with Deviation Bands## 📈 **Multi‑Day Rolling VWAP with Deviation Bands**
This script plots **rolling VWAP (Volume Weighted Average Price)** lines over **custom day periods** (e.g. 7, 30, 365 days), helping traders visualize institutional average price zones and potential support/resistance areas.
### 🧠 Key Features:
* **Three configurable VWAP periods** (default: 7, 30, 365 days)
* **Rolling logic**: VWAPs are calculated using the *last N full calendar days*, not from a fixed point in time
* **Optional standard deviation bands** for each VWAP (configurable multiplier)
* **Dynamic right-edge labels** to identify each VWAP visually
* **Accurate intraday tracking**: updates on the first bar of each new day using price × volume and volume sums
### ⚙️ Inputs:
* **VWAP Periods**: Choose how many *daily sessions* to include (e.g., weekly, monthly, yearly)
* **Price Source**: Choose from HLC3, close, etc.
* **Deviation Bands**: Toggle 1–3 standard deviation bands for each VWAP line
* **Label Offset**: Control how far right the labels appear
### 📊 Visual Output:
* Three VWAP lines: Fast (blue), Medium (green), and Slow (red)
* Upper/lower standard deviation bands around each VWAP (shaded areas)
* Labels displayed at the end of chart showing the VWAP period
---
### 🔍 Use Cases:
* Identify dynamic **mean-reversion zones**
* Spot **trend strength or deviation extremes**
* Combine with price action for **high-probability trade setups**
> Ideal for both **intraday** and **multi-day swing trading**. Can be used on any chart timeframe!
RONALD SMA BUY and SELL Indicator//@version=6
indicator('RONALD SMA BUY and SELL Indicator', overlay=true, max_labels_count=500)
// 1. Instellingen met standaardwaarden
fastLength = input.int(3, 'Fast SMA Lengte', minval=1, tooltip='Kortere periode voor snellere SMA')
slowLength = input.int(40, 'Slow SMA Lengte', minval=1, tooltip='Langere periode voor tragere SMA')
signalColor = input.color(color.yellow, 'Signaalkleur', tooltip='Kleur voor alle signalen')
// 2. SMA berekeningen
fastSMA = ta.sma(close, fastLength)
slowSMA = ta.sma(close, slowLength)
// 3. Plot SMA lijnen
plot(fastSMA, 'Fast SMA', color.new(color.blue, 0), 2)
plot(slowSMA, 'Slow SMA', color.new(color.red, 0), 2)
// 4. Signaal detectie
bullish = ta.crossover(fastSMA, slowSMA)
bearish = ta.crossunder(fastSMA, slowSMA)
// 5. Geavanceerde label positioning
yPosBuy = low - (ta.tr(true) * 0.5)
yPosSell = high + (ta.tr(true) * 0.5)
// 6. Dynamische labels met vingers
if bullish
label.new(
bar_index, yPosBuy,
text='BUY', color=signalColor,
style=label.style_label_up, textcolor=color.white,
yloc=yloc.price, size=size.normal)
if bearish
label.new(
bar_index, yPosSell,
text='SELL', color=signalColor,
style=label.style_label_down, textcolor=color.white,
yloc=yloc.price, size=size.normal)
// 7. Alternatieve plotshapes (optioneel)
plotshape(bullish, style=shape.triangleup, location=location.belowbar, color=signalColor, size=size.small)
plotshape(bearish, style=shape.triangledown, location=location.abovebar, color=signalColor, size=size.small)
useTrendFilter = input(true, "Gebruik Trendfilter")
trendLength = input(50, "Trend SMA Lengte")
trendSMA = ta.sma(close, trendLength)
DI+ Trend Tracker & Prediction (v6) DI+ Trend Tracker & Prediction – Pine Script v6
🔍 Overview
This custom TradingView indicator focuses exclusively on the +DI (Positive Directional Indicator) component of the ADX (Average Directional Index) system. It tracks recent DI+ values, analyzes trend strength and direction, and applies a simple predictive model to estimate DI+ for the next trading day.
🧠 Key Features
✅ 1. DI+ History Table (Last 4 Days)
Displays DI+ values for the past 4 completed bars.
Helps traders observe momentum and directional strength in a structured view.
📈 2. Percentage Change Calculations
Daily % Change: Shows change between the current DI+ and the previous day.
Average % Change (3 Days): Measures average change over the last 3 sessions to identify the directional consistency.
🔮 3. Predictive DI+ Estimation
Uses a linear regression (ta.linreg) over the last 4 DI+ values to estimate the next day’s DI+ reading.
This is a simple "AI-style" statistical model, providing a forecast for tomorrow’s directional strength.
📉 4. Buy/Sell Signal Generation
Buy Signal: Triggered when DI+ rises steadily over 3 days.
Sell Signal: Triggered when DI+ drops steadily over 3 days.
These signals are shown both in the table and directly on the chart with triangle markers.
📋 5. Clean Table Display
The indicator uses a top-right table to clearly present:
4-day DI+ history
Daily and average percentage changes
Predicted DI+ value
Current signal
DI+ for today
🔧 Inputs
ADX Length: Period for the DI+ calculation (default: 14)
ADX Smoothing: Smoothing period for the ADX and DMI components (default: 14)
🎯 Use Case
This indicator is ideal for:
Traders who focus on trend strength and directional movement.
Those seeking a quantitative edge by forecasting DI+.
Anyone wanting a visual cue system without overly complex strategy rules.
📌 Notes
This indicator does not include full ADX or DI− components.
It is meant for signal analysis, trend confirmation, and forecasting, not full strategy backtesting.
RONALD SMA BUY and SELL Indicator//@version=6
indicator('RONALD SMA BUY and SELL Indicator', overlay=true, max_labels_count=500)
// 1. Instellingen met standaardwaarden
fastLength = input.int(3, 'Fast SMA Lengte', minval=1, tooltip='Kortere periode voor snellere SMA')
slowLength = input.int(40, 'Slow SMA Lengte', minval=1, tooltip='Langere periode voor tragere SMA')
signalColor = input.color(color.yellow, 'Signaalkleur', tooltip='Kleur voor alle signalen')
// 2. SMA berekeningen
fastSMA = ta.sma(close, fastLength)
slowSMA = ta.sma(close, slowLength)
// 3. Plot SMA lijnen
plot(fastSMA, 'Fast SMA', color.new(color.blue, 0), 2)
plot(slowSMA, 'Slow SMA', color.new(color.red, 0), 2)
// 4. Signaal detectie
bullish = ta.crossover(fastSMA, slowSMA)
bearish = ta.crossunder(fastSMA, slowSMA)
// 5. Geavanceerde label positioning
yPosBuy = low - (ta.tr(true) * 0.5)
yPosSell = high + (ta.tr(true) * 0.5)
// 6. Dynamische labels met vingers
if bullish
label.new(
bar_index, yPosBuy,
text='BUY', color=signalColor,
style=label.style_label_up, textcolor=color.white,
yloc=yloc.price, size=size.normal)
if bearish
label.new(
bar_index, yPosSell,
text='SELL', color=signalColor,
style=label.style_label_down, textcolor=color.white,
yloc=yloc.price, size=size.normal)
// 7. Alternatieve plotshapes (optioneel)
plotshape(bullish, style=shape.triangleup, location=location.belowbar, color=signalColor, size=size.small)
plotshape(bearish, style=shape.triangledown, location=location.abovebar, color=signalColor, size=size.small)
useTrendFilter = input(true, "Gebruik Trendfilter")
trendLength = input(50, "Trend SMA Lengte")
trendSMA = ta.sma(close, trendLength)
10 EMA -3*ATRThis custom indicator plots the line calculated as 10-period Exponential Moving Average (EMA) minus 3 times the 14-period Average True Range (ATR). It helps traders identify dynamic support levels or pullback zones during strong trends by adjusting for market volatility. A falling line may signal increasing volatility or weakening momentum, while a rising line may indicate strengthening trend stability. Suitable for trend-following strategies and volatility-aware entries.
S&D + OB + EMAS&D / OB + EMA 5,13,50,200
The goal is to bring together several indicators in 1 to develop my trading strategy behind
