ايجابي بالشموع//@version=5
indicator("Metastock", overlay=true)
// شرط الشراء
buyCondition = open > close and low < low and close > close and close >= open and close <= high and close <= high and close > high
// شرط البيع (عكس شرط الشراء)
sellCondition = open < close and low > low and close < close and close <= open and close >= low and close >= low and close < low
// إضافة ملصق عند تحقق شرط الشراء (أسفل الشمعة)
if buyCondition
label.new(bar_index, low, "ايجابي", color=color.green, textcolor=color.white, style=label.style_label_up, yloc=yloc.belowbar)
// إضافة ملصق عند تحقق شرط البيع (أعلى الشمعة)
if sellCondition
label.new(bar_index, high, "سلبي", color=color.red, textcolor=color.white, style=label.style_label_down, yloc=yloc.abovebar)
Indicateurs et stratégies
Multi-Timeframe Trend StatusThis Multi-Timeframe Trend Status indicator tracks market trends across four timeframes ( by default, 65-minute, 240-minute, daily, and monthly). It uses a Volatility Stop based on the Average True Range (ATR) to determine the trend direction. The ATR is multiplied by a user-adjustable multiplier to create a dynamic buffer zone that filters out market noise.
The indicator tracks the volatility stop and trend direction for each timeframe. In an uptrend, the stop trails below the price, adjusting upward, and signals a downtrend if the price falls below it. In a downtrend, the stop trails above the price, moving down with the market, and signals an uptrend if the price rises above it.
Two input parameters allow for customization:
ATR Length: Defines the period for ATR calculation.
ATR Multiplier: Adjusts the sensitivity of trend changes.
This setup lets traders align short-term decisions with long-term market context and spot potential trading opportunities or reversals.
NSE Compact Panel by KGHow It Works
1.Analyzes price action using multiple technical indicators
2.Updates a right-aligned panel with:
a)Current indicator values
b)Bullish/bearish status
c)Visual trend direction cues
3. Designed for quick scanning of market conditions on NSE charts.
4.The Script is for educational purpose only
UM-Optimized Linear Regression ChannelDESCRIPTION
This indicator was inspired by Dr. Stoxx at drstoxx.com. Shout out to him and his services for introducing me to this idea. This indicator is a slightly different take on the standard linear regression indicator.
It uses two standard deviations to draw bands and dynamically attempts to best-fit the data lookback period using an R-squared statistical measure. The R-squared value ranges between zero and one with zero being no fit to the data at all and 1 being a 100% match of the data to linear regression line. The R-squared calculation is weighted exponentially to give more weight to the most recent data.
The label provides the number of periods identified as the optimal best-fit period, the type of loopback period determination (Manual or Auto) and the R-squared value (0-100, 100% being a perfect fit). >=90% is a great fit of the data to the regression line. <50% is a difficult fit and more or less considered random data.
The lookback mode can also be set manually and defaults to a value of 100 periods.
DEFAULTS
The defaults are 1.5 and 2.0 for standard deviation. This creates 2 bands above and below the regression line. The default mode for best-fit determination with "Auto" selected in the dropdown. When manual mode is selected, the default is 100. The modes, manual lookback periods, colors, and standard deviations are user-configurable.
HOW TO USE
Overlay this indicator on any chart of any timeframe. Look for turning points at extremes in the upper and lower bands. Look for crossovers of the centerline. Look at the Auto-determination for best fit. Compare this to your favorite Manual mode setting (Manual Mode is set to 100 by default lookback periods.)
When price is at an extreme, look for turnarounds or reversals. Use your favorite indicators, in addition to this indicator, to determine reversals. Try this indicator against your favorite securities and timeframes.
CHART EXAMPLE
The chart I used for an example is the daily chart of IWM. I illustrated the extremes with white text. This is where I consider proactively exiting an existing position and/or begin looking for a reversal.
DCA (CryptoBus)DCA (CryptoBus)
🚀 DCA (CryptoBus) — автоматизированная стратегия усреднения (Dollar-Cost Averaging) для TradingView!
📉 Покупай активы равными частями на падениях и снижай среднюю цену входа.
🔧 Гибкая настройка параметров для адаптации под рынок.
FVG Reversal SentinelFVG Reversal Sentinel
A Fair Value Gap (FVG) is an area on a price chart where there is a gap between candles. It indicates an imbalance in the market due to rapid price movement. It represents untraded price levels caused by strong buying or selling pressure.
FVGs are crucial in price action trading as they highlight the difference between the current market price of an asset and its fair value. Traders use these gaps to identify potential trading opportunities, as they often indicate areas where the market may correct itself.
This indicator will overlap multiple timeframes FVGs over the current timeframe to help traders anticipate and plan their trades.
Features
Up to 5 different timeframes can be displayed on a chart
Hide the lower timeframes FVGs to get a clear view in a custom timeframe
Configurable colors for bullish and bearish FVGs
Configurable borders for the FVG boxes
Configurable labels for the different timeframes you use
Show or hide mitigated FVGs to declutter the chart
FVGs are going to be displayed only when the candle bar closes
FVGs are going to be mitigated only when the body of the candle closes above or below the FVG area
No repainting
Settings
TIMEFRAMES
This indicator provides the ability to select up to 5 timeframes. These timeframes are based on the trader's timeframes including any custom timeframes.
Select the desired timeframe from the options list
Add the label text you would like to show for the selected timeframe
Check or uncheck the box to display or hide the timeframe from your chart
FVG SETTINGS
Control basic settings for the FVGs
Length of boxes: allows you to select the length of the box that is going to be displayed for the FVGs
Delete boxes after fill?: allows you to show or hide mitigated FVGs on your chart
Hide FVGs lower than enabled timeframes?: allows you to show or hide lower timeframe FVGs on your chart. Example - You are in a 15 minutes timeframe chart, if you choose to hide lower timeframe FVGs you will not be able to see 5 minutes FVG defined in your Timeframes Settings, only 15 minutes or higher timeframe FVGs will be displayed on your chart
BOX VISUALS
Allows you to configure the color and opacity of the bullish and bearish FVGs boxes.
Bullish FVG box color: the color and opacity of the box for the bullish FVGs
Bearish FVG box color: the color and opacity of the box for the bearish FVGs
LABELS VISUALS
Allows you to configure the style of the boxes labels
Bullish FVG labels color: the color for bullish labels
Bearish FVG labels color: the color for bearish labels
Labels size: the size of the text displayed in the labels
Labels position: the position of the label inside the FVGs boxes (right, left or center)
BORDER VISUALS
Allows you to configure the border style of the FVGs boxes
Border width: the width of the border (the thickness)
Bullish FVG border color: the color and the opacity of the bullish box border
Bearish FVG border color: the color and the opacity of the bearish box border
Once desired settings have been achieved, the settings can be saved as default from the bottom left of the indicator settings page for future use.
IPO Date ScreenerThis script, the IPO Date Screener, allows traders to visually identify stocks that are relatively new, based on the number of bars (days) since their IPO. The user can set a custom threshold for the number of days (bars) after the IPO, and the script will highlight new stocks that fall below that threshold.
Key Features:
Customizable IPO Days Threshold: Set the threshold for considering a stock as "new." Since Pine screener limits number bars to 500, it will work for stocks having trading days below 500 since IPO which almost 2 years.
Column Days since IPO: Sort this column from low to high to see newest to oldest STOCK with 500 days of trading.
Since a watchlist is limited to 1000 stocks, use this pines script to screen stocks within the watch list having trading days below 500 or user can select lower number of days from settings.
This is not helpful to add on chart, this is to use on pine screener as utility.
BW by readCrypto
Hello, traders.
If you "Follow", you can always get new information quickly.
Please also click "Boost".
Have a nice day today.
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BW indicator is an indicator that displays StochRSI, MACD, OBV, and superTrend indicators integrated.
The BW(100) indicator is created when
- StochRSI indicator is 50 or higher,
- MACD indicator's haMSignal > haSSignal,
- OBV indicator rises above the previous high,
- superTrend indicator rises above the Sell line
The above conditions are met and it falls.
The BW(0) indicator is created when
- StochRSI indicator is below 50,
- MACD indicator is haMSignal < haSSignal,
- OBV indicator falls below the previous low,
- superTrend indicator falls below the Buy line
The above conditions are satisfied and it rises.
-
(Interpretation method)
Accordingly, the creation of the BW(100) indicator can be interpreted as meaning that it has fallen from the high point range.
Therefore, the point where the BW(100) indicator is created is likely to be the resistance point.
The creation of the BW(0) indicator can be interpreted as meaning that it has risen from the low point range.
Therefore, the point where the BW(0) indicator is created is likely to be the support point.
-
Since this BW indicator includes the OBV indicator that refers to the trading volume, it cannot be used on index charts that do not display the trading volume.
I think intuition is important when trading.
I think that indicators like this, which are displayed on the price candles, that is, indicators that show support and resistance points, increase intuitiveness when trading.
-
Thank you for reading to the end.
I hope you have a successful trade.
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안녕하세요?
트레이더 여러분, 반갑습니다.
"팔로우"를 해 두시면, 언제나 빠르게 새로운 정보를 얻으실 수 있습니다.
"부스트" 클릭도 부탁드립니다.
오늘도 좋은 하루되세요.
-------------------------------------
BW 지표는 StochRSI, MACD, OBV, superTrend 지표를 통합하여 표시한 지표입니다.
BW(100) 지표의 생성은
- StochRSI 지표가 50 이상,
- MACD 지표의 haMSignal > haSSignal,
- OBV 지표가 이전 고점 이상 상승,
- superTrend 지표가 Sell선 이상 상승
위의 조건이 만족한 상태에서 하락하게 되면 생성됩니다.
BW(0) 지표의 생성은
- StochRSI 지표가 50 이하,
- MACD 지표가 haMSignal < haSSignal,
- OBV 지표가 이전 저점 이하로 하락,
- superTrend 지표가 Buy선 이하로 하락
위의 조건이 만족한 상태에서 상승하게 되면 생성됩니다.
-
(해석 방법)
이에 따라서, BW(100) 지표가 생성되었다는 의미는 고점 구간에서 하락하였다는 의미로 해석할 수 있습니다.
그러므로, BW(100) 지표가 생성된 지점이 저항 지점이 될 가능성이 높습니다.
BW(0) 지표가 생성되었다는 의미는 저점 구간에서 상승하였다는 의미로 해석할 수 있습니다.
그러므로, BW(0) 지표가 생성된 지점이 지지 지점이 될 가능성이 높습니다.
-
이 BW 지표는 거래량를 참고하는 OBV 지표가 포함되어 있기 때문에 거래량 표시가 없는 지수 차트에서는 사용할 수 없습니다.
거래시에는 직관성이 중요하다고 생각합니다.
이렇게 가격 캔들 부분에 표시된 지표, 즉, 지지와 저항 지점을 표시하는 지표는 거래시 직관성을 높여 준다고 생각합니다.
-
끝까지 읽어주셔서 감사합니다.
성공적인 거래가 되기를 기원입니다.
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Volume Momentum Oscillator (Enhanced)📊 Volume Momentum Oscillator (VMO) — 量能动量振荡器
🔍 介绍
Volume Momentum Oscillator (VMO) 是一款基于成交量变化的动量指标，它通过计算成交量的 短期均线与长期均线的偏离程度，衡量市场活跃度的变化。该指标适用于分析市场趋势的 加速与减弱，帮助交易者捕捉可能的趋势转折点。
📌 计算逻辑
短期成交量均线（默认 14）
长期成交量均线（默认 28）
计算公式：
𝑉𝑀𝑂= (短期成交量均线 − 长期成交量均线)/长期成交量均线 × 100
结果：
VMO > 0 🔼：短期成交量高于长期成交量，市场活跃度增加，可能为上涨信号。
VMO < 0 🔽：短期成交量低于长期成交量，市场活跃度下降，可能为下跌信号。
📊 主要功能
✅ 趋势动量检测 📈📉
✅ 超买/超卖区间提示 🔴🟢
✅ 动态颜色变化，直观显示趋势
✅ 可自定义参数，适配不同市场
🛠️ 参数说明
短期周期 (默认 14)： 计算短周期成交量均线的长度
长期周期 (默认 28)： 计算长周期成交量均线的长度
超买/超卖区间 (默认 ±10)： 设定成交量过热或低迷的界限
颜色变换：
绿色（短期成交量增强）
红色（短期成交量减弱）
背景颜色提示：
进入 超买区（>10） 时，背景变红
进入 超卖区（<-10） 时，背景变绿
📈 交易策略
1️⃣ VMO 上穿 0 轴 ➝ 短期成交量增强，可能是买入信号
2️⃣ VMO 下穿 0 轴 ➝ 短期成交量下降，可能是卖出信号
3️⃣ VMO 高于 +10（超买区） ➝ 市场可能过热，警惕回调风险
4️⃣ VMO 低于 -10（超卖区） ➝ 市场可能超跌，关注反弹机会
📌 建议搭配 RSI、MACD 或趋势指标使用，以提高交易准确性！ 🚀
🔗 适用市场
📌 股票 / 期货 / 外汇 / 加密货币（适用于所有基于成交量的市场）
📌 免责声明
本指标仅用于市场分析和学习，不构成任何投资建议。交易者应结合自身策略和市场条件谨慎决策。📢
📊 如果你觉得这个指标有帮助，请点赞 & 收藏！欢迎在评论区交流你的交易经验！ 🎯🚀
Revenue & Profit GrowthA simple yet powerful financial tracker that helps you identify fundamental growth trends by visualizing quarterly and TTM (Trailing Twelve Months) revenue and profit data. The script combines bar and line visualizations with a dynamic growth table to provide comprehensive insights into a company's financial performance at a glance.
A business has many metrics, but revenue and profit growths - I would argue - are the primordial ones.
Why is this unique? It overlays profit and revenues in one graph and provides QoQ and YoY growth rates.
Features
Quarterly performance bars overlaid with TTM trend lines for both revenue and profit metrics
Automatic calculation of Year-over-Year (YoY) and Quarter-over-Quarter (QoQ) growth rates
Color-coded visualization: blue for revenue, green/red for profits based on positive/negative values
Alerts for revenue and profit changes
[NAT] Envelope + TEMAThis indicator builds upon the previously posted Nadaraya-Watson smoothers. Here we have created an envelope indicator based on Kernel Smoothing with integrated alerts from crosses between the price and envelope extremities. Unlike the Nadaraya-Watson estimator, this indicator follows a contrarian methodology.
Please note that by default this indicator can be subject to repainting. Users can use a non-repainting smoothing method available from the settings. The triangle labels are designed so that the indicator remains useful in real-time applications.
AI NEWThese is an gann based indicatore calculate gann levels on current day open and give buy and sell signal alng with gann levels which allow us to see gann levels in chart
スイングハイ／ローの水平線（EMAトリガー）//@version=5
indicator("スイングハイ／ローの水平線（EMAトリガー）", overlay=true, max_lines_count=500)
//─────────────────────────────
//【入力パラメータ】
//─────────────────────────────
pivotPeriod = input.int(title="Pivot期間（左右バー数）", defval=10, minval=1)
emaPeriod = input.int(title="EMA期間", defval=20, minval=1)
lineColorHigh = input.color(title="スイングハイ水平線の色", defval=color.red)
lineColorLow = input.color(title="スイングロー水平線の色", defval=color.green)
lineWidth = input.int(title="水平線の太さ", defval=2, minval=1, maxval=10)
displayBars = input.int(title="表示する過去ローソク足数", defval=200, minval=1)
//─────────────────────────────
//【EMAの計算＆プロット】
//─────────────────────────────
emaValue = ta.ema(close, emaPeriod)
plot(emaValue, color=color.orange, title="EMA")
//─────────────────────────────
//【Pivot（スイングハイ／ロー）の検出＆マーカー表示】
//─────────────────────────────
pivotHighVal = ta.pivothigh(high, pivotPeriod, pivotPeriod)
pivotLowVal = ta.pivotlow(low, pivotPeriod, pivotPeriod)
plotshape(pivotHighVal, title="スイングハイ", style=shape.triangledown, location=location.abovebar, color=lineColorHigh, size=size.tiny, offset=-pivotPeriod)
plotshape(pivotLowVal, title="スイングロー", style=shape.triangleup, location=location.belowbar, color=lineColorLow, size=size.tiny, offset=-pivotPeriod)
//─────────────────────────────
//【水平線（pivotライン）管理用の配列定義】
//─────────────────────────────
// 各ピボットに対して、作成した水平線オブジェクト、開始バー、ピボット価格、ピボット種類、確定フラグを保持
var line pivotLines = array.new_line()
var int pivotLineBars = array.new_int()
var float pivotLinePrices = array.new_float()
var int pivotLineTypes = array.new_int() // 1: スイングハイ, -1: スイングロー
var bool pivotLineFinaled = array.new_bool() // EMA条件で確定済みかどうか
//─────────────────────────────
//【新たなPivot発生時に水平線を作成】
//─────────────────────────────
if not na(pivotHighVal)
pivotBar = bar_index - pivotPeriod
newLine = line.new(pivotBar, pivotHighVal, pivotBar, pivotHighVal, extend=extend.none, color=lineColorHigh, width=lineWidth)
array.push(pivotLines, newLine)
array.push(pivotLineBars, pivotBar)
array.push(pivotLinePrices, pivotHighVal)
array.push(pivotLineTypes, 1) // 1：スイングハイ
array.push(pivotLineFinaled, false)
if not na(pivotLowVal)
pivotBar = bar_index - pivotPeriod
newLine = line.new(pivotBar, pivotLowVal, pivotBar, pivotLowVal, extend=extend.none, color=lineColorLow, width=lineWidth)
array.push(pivotLines, newLine)
array.push(pivotLineBars, pivotBar)
array.push(pivotLinePrices, pivotLowVal)
array.push(pivotLineTypes, -1) // -1：スイングロー
array.push(pivotLineFinaled, false)
//─────────────────────────────
//【古い水平線の削除：指定過去ローソク足数より前のラインを削除】
//─────────────────────────────
if array.size(pivotLines) > 0
while array.size(pivotLines) > 0 and (bar_index - array.get(pivotLineBars, 0) > displayBars)
line.delete(array.get(pivotLines, 0))
array.remove(pivotLines, 0)
array.remove(pivotLineBars, 0)
array.remove(pivotLinePrices, 0)
array.remove(pivotLineTypes, 0)
array.remove(pivotLineFinaled, 0)
//─────────────────────────────
//【各バーで、未確定の水平線を更新】
//─────────────────────────────
if array.size(pivotLines) > 0
for i = 0 to array.size(pivotLines) - 1
if not array.get(pivotLineFinaled, i)
pivotPrice = array.get(pivotLinePrices, i)
pivotType = array.get(pivotLineTypes, i)
startBar = array.get(pivotLineBars, i)
if bar_index >= startBar
lineObj = array.get(pivotLines, i)
line.set_x2(lineObj, bar_index)
// スイングハイの場合：EMAがピボット価格を上回ったら確定
if pivotType == 1 and emaValue > pivotPrice
line.set_x2(lineObj, bar_index)
array.set(pivotLineFinaled, i, true)
// スイングローの場合：EMAがピボット価格を下回ったら確定
if pivotType == -1 and emaValue < pivotPrice
line.set_x2(lineObj, bar_index)
array.set(pivotLineFinaled, i, true)
Heikin Horizon v7Heikin Horizon v7 – User Guide and Instructions
Heikin Horizon v7 is a multi-faceted tool designed to help you analyze market trends using Heikin-Ashi candles across multiple timeframes, detect various price patterns, and backtest your trading strategies. The following guide will walk you through setting up and using the indicator:
1. Initial Setup & Feature Unlocking
Access Control:
If required, enter the designated access phrase to unlock all features.
Once unlocked, you can access advanced settings and visual outputs.
Basic Configuration:
In the indicator’s input panel, configure your preferred settings for Heikin-Ashi analysis, including the primary parameters for your chart.
2. Pattern Analysis Configuration
Pattern Selection:
Choose from a list of predefined patterns (e.g., Bullish, Bearish, Consolidation) or define your own custom pattern.
The indicator automatically detects and labels these patterns as they occur.
Timeframe Settings:
Set separate timeframes for short-term and long-term pattern detection.
These settings allow the indicator to analyze trends over different periods for a comprehensive view.
Pattern Table Display:
Enable the Pattern Table to view detailed metrics about detected patterns, such as:
Current trend direction
Frequency of occurrence
Win rate and conversion rates
You can position this table anywhere on your chart (Top Left, Top Center, etc.) via the settings.
3. Multi-Timeframe Trend Analysis
Trend Overview:
The indicator aggregates Heikin-Ashi trends from several timeframes—from seconds to daily intervals.
Each timeframe is represented with its own color coding (e.g., green for bullish, red for bearish) for easy recognition.
Visual Table Options:
Enable and position the Multi-Timeframe Analysis Table to quickly assess the overall market trend.
This table aids in understanding how short-term trends align with longer-term market behavior.
4. Backtesting and Trade Statistics
Backtest Setup:
Configure key parameters such as trade duration, sample size, take profit, and stop loss levels.
Adjust thresholds for expected move and win rate to filter out less significant trades.
Performance Tables and Graphs:
Enable the Backtest Table and/or Graph to review:
Total trades taken
Win rate (percentage of winning trades)
Average win and loss sizes
Profit factor and final balance estimates
These visual and numerical outputs help you gauge the historical performance of your strategy.
5. Outcome and Historical Performance Analysis
Outcome Breakdown:
Enable the Outcomes Table to see a detailed breakdown of each potential price move outcome.
Metrics include count, average candle body size, and expected price changes for different outcomes.
Historical Data Table:
The History Table offers a bar-by-bar analysis showing expected versus actual high, low, and closing values.
Use this table to review how patterns performed historically and to adjust your strategy accordingly.
6. Visual Enhancements & Alert Configuration
Candle Coloring:
Optionally enable candle coloring to highlight candles that match your selected pattern.
This feature provides immediate visual feedback on pattern occurrences.
Alert Setup:
Configure alerts to notify you when specific patterns are detected or when certain timeframe conditions are met.
Alerts are based on both pattern triggers and defined timeframe conditions, ensuring you are informed in real time.
7. Customization and Final Adjustments
Table Positioning:
You can choose the placement of all tables (Pattern, Previous Trends, Timeframe Analysis, Outcomes, Backtest, History) directly from the settings.
Adjust these positions to create a layout that best fits your chart and workflow.
Interpreting the Data:
Use the statistics provided (e.g., win rate, expected move, average candle sizes) to help determine entry and exit points.
Review backtesting results to validate and refine your trading strategies.
Experiment and Refine:
The indicator’s flexibility allows you to experiment with various settings to find the best configuration for your trading style.
Continuously adjust parameters as market conditions change to maintain optimal performance.
Gelişmiş Supertrend + EMA StratejiBu strateji, üç temel göstergenin kombinasyonunu kullanarak alım-satım sinyalleri üreten bir sistemdir:
Ana Göstergeler:
EMA 5 (Hızlı Hareketli Ortalama)
EMA 20 (Yavaş Hareketli Ortalama)
Supertrend (ATR tabanlı trend göstergesi)
Alış Sinyali Koşulları:
Şu iki koşul aynı anda gerçekleştiğinde alış sinyali üretilir:
EMA 5, EMA 20'yi yukarı kesiyor (emaCrossUp)
Supertrend yukarı trend gösteriyor (stUp)
Satış Sinyali Koşulları:
Şu iki koşul aynı anda gerçekleştiğinde satış sinyali üretilir:
EMA 5, EMA 20'yi aşağı kesiyor (emaCrossDown)
Supertrend aşağı trend gösteriyor (stDown)
Stratejinin Çalışma Mantığı:
Trend Teyidi: Supertrend, genel trend yönünü belirler
Momentum Teyidi: EMA kesişimleri, momentumu gösterir
Çift Onay: Her iki göstergenin de aynı yönü işaret etmesi gerekir
Görsel Göstergeler:
Yeşil "AL" etiketi: Alış noktalarını gösterir (mum altında)
Kırmızı "SAT" etiketi: Satış noktalarını gösterir (mum üstünde)
Mavi çizgi: EMA 5
Kırmızı çizgi: EMA 20
Yeşil/Kırmızı çizgi: Supertrend
Bilgi Tablosu İçeriği:
Mevcut Sinyal: Son üretilen sinyal
EMA Trend: EMA'ların gösterdiği trend
Supertrend: Supertrend'in gösterdiği yön
Son İşlem: En son gerçekleşen alım veya satım
Stratejinin Avantajları:
Trend takibi sağlar
Yanlış sinyalleri azaltır
Görsel olarak anlaşılması kolaydır
Çift onay sistemi ile güvenilirlik artar
Kullanım Önerileri:
Günlük veya 4 saatlik grafiklerde daha etkilidir
Güçlü trend dönemlerinde daha iyi çalışır
Yatay piyasalarda dikkatli kullanılmalıdır
Stop loss ve take profit seviyeleri eklenmelidir
Parametre Optimizasyonu:
- EMA periyotları piyasa volatilitesine göre ayarlanabilir
Supertrend parametreleri trend hassasiyetini belirler
Risk Yönetimi Önerileri:
Her işlemde sabit risk oranı kullanın
Trend yönünde işlem yapın
Piyasa volatilitesine göre stop loss belirleyin
Pozisyon büyüklüğünü risk yönetimine göre ayarlayın
11. En İyi Kullanım Senaryoları:
Trend başlangıçlarını yakalamak için
Trend dönüşlerini tespit etmek için
Momentum değişimlerini takip etmek için
Orta-uzun vadeli pozisyonlar için
Bu strateji, trend takibi ve momentum stratejilerinin bir kombinasyonudur. Özellikle trendli piyasalarda etkili olabilir, ancak her strateji gibi risk yönetimi ile birlikte kullanılmalıdır.
Smart ChannelThe "Smart Channel" indicator is designed to dynamically identify and plot price channels on a chart. It uses a statistical approach based on Pearson's correlation coefficient to determine the best-fit channel for both short-term and long-term trends. This allows traders to visualize potential support and resistance levels, identify trend direction, and potentially anticipate breakouts or reversals.
How it Works:
Data Input: The indicator takes a source input (typically the closing price) as the basis for its calculations.
Period Selection: It defines two sets of lookback periods: one for short-term analysis and one for long-term analysis. The code iterates through these periods, calculating a linear regression and standard deviation for each.
Pearson's Correlation: For each period, the indicator calculates Pearson's R, which measures the strength and direction of the linear relationship between price and time. A higher absolute value of Pearson's R indicates a stronger trend.
Best Fit Channel: The indicator identifies the period with the highest Pearson's R for both short-term and long-term and uses the corresponding linear regression parameters (slope and intercept) to define the midline of the channel.
Standard Deviation: The standard deviation of the price data around the regression line is calculated. This is used to define the upper and lower boundaries of the channel. The channel width is controlled by a "Deviation Multiplier" input.
Channel Plotting: The indicator plots the midline, upper boundary, and lower boundary of the channel on the chart. Separate channels are plotted for the short-term and long-term best-fit periods, using different colors for easy visual distinction.
Dynamic Updates: The channel is dynamically updated as new price data becomes available, adjusting to the evolving market trend.
Key Inputs and Settings:
Source: The price data used for calculations (e.g., close, open, high, low, etc.).
Use Long-Term Channel: A boolean input to enable/disable the calculation and plotting of the long-term channel.
Deviation Multiplier: Controls the width of the channel (how many standard deviations away from the midline the boundaries are).
Channel/Midline Colors and Transparency: Customizable colors and transparency levels for the channel lines and fill.
Line Styles: Options for solid, dotted, or dashed lines for the channel boundaries and midline.
Extend Style: How the channel lines should extend (right, both, none, left).
Interpretation and Usage:
Trend Identification: The direction of the midline indicates the prevailing trend. An upward-sloping midline suggests an uptrend, while a downward-sloping midline suggests a downtrend.
Support and Resistance: The upper and lower channel boundaries can act as potential support and resistance levels.
Breakouts: A price move outside of the channel boundaries may signal a potential breakout or reversal.
Overbought/Oversold: Prices touching or exceeding the upper boundary might suggest an overbought condition, while prices touching or exceeding the lower boundary might suggest an oversold condition.
Short-Term vs. Long-Term: Comparing the short-term and long-term channels can provide insights into the overall market context. For example, a short-term uptrend within a long-term downtrend might suggest a potential buying opportunity before the larger trend resumes.
ICT Killzones [Tsx Trader]isndicador exelente para ver as kilzones onde vc pode fazer seus trades com maior acertividade
Heikin Ashi by readCrypto
Hello, traders.
If you "Follow", you can always get new information quickly.
Please also click "Boost".
Have a nice day today.
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Heikin Ashi candle chart is a trend candle chart that minimizes fakes.
Therefore, it looks different from the existing candle chart.
Because of this, it can be difficult to know the actual price movement.
To compensate for this, there are indicators that display in various forms.
The Heikin Ashi candle that I would like to introduce this time is an indicator displayed as a Line.
This Line indicator is expressed as the median of the Open and Close values of the Heikin Ashi candle.
This allows you to know the current trend.
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USDT.D Line chart is also displayed as the median of the Open, High, Low, and Close of USDT.D.
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The green color of the two indicators above means an increase, and the red color means a decrease.
In order to distinguish between the Heikin Ashi Line chart and the USDT.D Line chart, the green color of the Heikin Ashi Line chart is thickened, and the red color of the USDT.D Line chart is thickened.
The interpretation method is
- Heikin Ashi rises, USDT.D falls, StochRSI rises: The price is likely to rise.
- Heikin Ashi falls, USDT.D rises, StochRSI falls: The price is likely to fall.
- The remaining movements may correspond to volatility, i.e. fake, so watch the situation.
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As we add a lot of information, it may be confusing which one is important.
The key indicators for trading are the HA-Low, HA-High, BW(0), and BW(100) indicators.
Trend indicators are Trend Cloud indicator and M-Signal indicator on 1D, 1W, and 1M charts.
Intuition is important when trading.
If you do not make a quick judgment, the response time will be delayed and there is a high possibility that the transaction will proceed in the wrong direction.
Therefore, when you touch your own point or section marked on the chart, you should check whether a transaction is possible, and if you judge that a transaction is possible and start a transaction, you should know how to wait.
Also, you should think about whether to cut your loss when the movement is different from the direction you thought.
In this way, you should create a basic trading strategy when you start trading and start trading, and if you start trading based on this, you should try to stick to the trading strategy.
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Thank you for reading to the end.
I hope you have a successful transaction.
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안녕하세요?
트레이더 여러분, 반갑습니다.
"팔로우"를 해 두시면, 언제나 빠르게 새로운 정보를 얻으실 수 있습니다.
"부스트" 클릭도 부탁드립니다.
오늘도 좋은 하루되세요.
-------------------------------------
Heikin Ashi 캔들 차트는 fake를 최소화한 차트로서 추세 캔들 차트라 할 수 있습니다.
따라서, 기존의 캔들 차트와 다른 모습을 보입니다.
이로인해 실제 가격 움직임을 알기가 애매할 수 있습니다.
이를 보완하고자 여러 형태로 표시하는 지표들을 있습니다.
제가 이번에 소개해 드리고자 하는 Heikin Ashi 캔들은 Line으로 표시되는 지표입니다.
이 Line 지표는 Heikin Ashi 캔들의 Open, Close 값의 중간값으로 표현됩니다.
이로서 현재의 추세를 알 수 있게 하였습니다.
-
USDT.D Line chart 또한 USDT.D의 Open, High, Low, Close의 중간값으로 표시됩니다.
-
위 두 지표의 Green색은 상승을, Red색은 하락을 의미합니다.
Heikin Ashi Line chart와 USDT.D Line chart를 구분하기 위해서 Heikin Ashi Line chart의 Green색을 두껍게 처리하고, USDT.D Line chart의 Red색을 두껍게 처리하였습니다.
해석 방법은
- Heikin Ashi 상승, USDT.D 하락, StochRSI 상승 : 가격이 상승할 가능성이 높음.
- Heikin Ashi 하락, USDT.D 상승, StochRSI 하락 : 가격이 하락할 가능성이 높음.
- 나머지 움직임은 변동성, 즉, fake에 해당될 수 있으므로 상황을 지켜봅니다.
----------------------------
많은 정보를 추가하다 보니, 어떤 것이 중요한 것인지 혼란스러울 수 있습니다.
거래의 핵심 지표는 HA-Low, HA-High, BW(0), BW(100) 지표입니다.
추세 지표는 Trend Cloud 지표와 1D, 1W, 1M 차트의 M-Signal 지표입니다.
거래시 중요한 것은 직관성입니다.
빠르게 판단하지 않으면, 대응 시간이 늦어져 엉뚱한 방향으로 거래가 진행될 가능성이 높기 때문입니다.
따라서, 차트에 표시해 둔 자신만의 지점이나 구간을 터치하였을 때 거래가 가능한지 확인하고 거래가 가능하다고 판단하여 거래를 시작하였다면 기다릴 줄도 알아야 합니다.
또한, 자신이 생각한 방향과 다르게 움직임이 나왔을 때 손절을 할 것인가도 생각해야 합니다.
이렇게 거래 시작시에 기본적인 거래 전략을 만들고 거래를 시작해야 하고, 이를 바탕으로 거래를 시작하였다면 거래 전략을 지킬려고 노력해야 합니다.
-
끝까지 읽어주셔서 감사합니다.
성공적인 거래가 되기를 기원입니다.
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Double ZigZag with HHLL – Advanced Versionاین اندیکاتور نسخه بهبودیافتهی Double ZigZag with HHLL است که یک زیگزاگ سوم به آن اضافه شده تا تحلیل روندها دقیقتر شود. در این نسخه، قابلیتهای جدیدی برای شناسایی سقفها و کفهای مهم (HH, LL, LH, HL) و نمایش تغییر جهت روندها وجود دارد.
ویژگیهای جدید در این نسخه:
✅ اضافه شدن زیگزاگ سوم برای دقت بیشتر در تحلیل روند
✅ بهینهسازی تشخیص HH (Higher High) و LL (Lower Low)
✅ بهبود کدنویسی و بهینهسازی پردازش دادهها
✅ تنظیمات پیشرفته برای تغییر رنگ و استایل خطوط زیگزاگ
✅ نمایش بهتر نقاط بازگشتی با Labelهای هوشمند
نحوه استفاده:
این اندیکاتور برای تحلیل روندها و شناسایی نقاط بازگشتی در نمودار استفاده میشود.
کاربران میتوانند دورههای مختلف زیگزاگ را تنظیم کنند تا حرکات قیمت را در تایمفریمهای مختلف بررسی کنند.
برچسبهای HH, LL, LH, HL نقاط مهم بازگشتی را نمایش میدهند.
Double ZigZag with HHLL – Advanced Version
This indicator is an enhanced version of Double ZigZag with HHLL, now featuring a third ZigZag to improve trend analysis accuracy. This version includes improved High-High (HH), Low-Low (LL), Lower-High (LH), and Higher-Low (HL) detection and better visualization of trend direction changes.
New Features in This Version:
✅ Third ZigZag added for more precise trend identification
✅ Improved detection of HH (Higher High) and LL (Lower Low)
✅ Optimized code for better performance and data processing
✅ Advanced customization options for ZigZag colors and styles
✅ Smart labeling of key turning points
How to Use:
This indicator helps analyze trends and identify key reversal points on the chart.
Users can adjust different ZigZag periods to track price movements across various timeframes.
Labels such as HH, LL, LH, HL highlight significant market swings.
TASC 2025.03 A New Solution, Removing Moving Average Lag█ OVERVIEW
This script implements a novel technique for removing lag from a moving average, as introduced by John Ehlers in the "A New Solution, Removing Moving Average Lag" article featured in the March 2025 edition of TASC's Traders' Tips .
█ CONCEPTS
In his article, Ehlers explains that the average price in a time series represents a statistical estimate for a block of price values, where the estimate is positioned at the block's center on the time axis. In the case of a simple moving average (SMA), the calculation moves the analyzed block along the time axis and computes an average after each new sample. Because the average's position is at the center of each block, the SMA inherently lags behind price changes by half the data length.
As a solution to removing moving average lag, Ehlers proposes a new projected moving average (PMA) . The PMA smooths price data while maintaining responsiveness by calculating a projection of the average using the data's linear regression slope.
The slope of linear regression on a block of financial time series data can be expressed as the covariance between prices and sample points divided by the variance of the sample points. Ehlers derives the PMA by adding this slope across half the data length to the SMA, creating a first-order prediction that substantially reduces lag:
PMA = SMA + Slope * Length / 2
In addition, the article includes methods for calculating predictions of the PMA and the slope based on second-order and fourth-order differences. The formulas for these predictions are as follows:
PredictPMA = PMA + 0.5 * (Slope - Slope ) * Length
PredictSlope = 1.5 * Slope - 0.5 * Slope
Ehlers suggests that crossings between the predictions and the original values can help traders identify timely buy and sell signals.
█ USAGE
This indicator displays the SMA, PMA, and PMA prediction for a specified series in the main chart pane, and it shows the linear regression slope and prediction in a separate pane. Analyzing the difference between the PMA and SMA can help to identify trends. The differences between PMA or slope and its corresponding prediction can indicate turning points and potential trade opportunities.
The SMA plot uses the chart's foreground color, and the PMA and slope plots are blue by default. The plots of the predictions have a green or red hue to signify direction. Additionally, the indicator fills the space between the SMA and PMA with a green or red color gradient based on their differences:
Users can customize the source series, data length, and plot colors via the inputs in the "Settings/Inputs" tab.
█ NOTES FOR Pine Script® CODERS
The article's code implementation uses a loop to calculate all necessary sums for the slope and SMA calculations. Ported into Pine, the implementation is as follows:
pma(float src, int length) =>
float PMA = 0., float SMA = 0., float Slope = 0.
float Sx = 0.0 , float Sy = 0.0
float Sxx = 0.0 , float Syy = 0.0 , float Sxy = 0.0
for count = 1 to length
float src1 = src
Sx += count
Sy += src
Sxx += count * count
Syy += src1 * src1
Sxy += count * src1
Slope := -(length * Sxy - Sx * Sy) / (length * Sxx - Sx * Sx)
SMA := Sy / length
PMA := SMA + Slope * length / 2
However, loops in Pine can be computationally expensive, and the above loop's runtime scales directly with the specified length. Fortunately, Pine's built-in functions often eliminate the need for loops. This indicator implements the following function, which simplifies the process by using the ta.linreg() and ta.sma() functions to calculate equivalent slope and SMA values efficiently:
pma(float src, int length) =>
float Slope = ta.linreg(src, length, 0) - ta.linreg(src, length, 1)
float SMA = ta.sma(src, length)
float PMA = SMA + Slope * length * 0.5
To learn more about loop elimination in Pine, refer to this section of the User Manual's Profiling and optimization page.
[CRYPTOLABS] LIQUIDITY Cycle Momentum Indicator🔷 LIQUIDITY Cycle Momentum Indicator
📊 Open & free indicator for analyzing global liquidity cycles in crypto & markets
🚀 Designed for traders & investors to understand macro liquidity flows and identify market cycles.
⚠ Best used on the 1-month timeframe for optimal results!
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🔑 Features
✅ BTC data since 2009 (`INDEX:BTCUSD`)
✅ Global liquidity analysis (central bank balance sheets, bonds, DXY)
✅ Logarithmic calculation for more accurate trends
✅ Year-over-year liquidity comparison for cycle analysis
✅ Chande Momentum Oscillator (CMO) for trend detection
✅ Automatic adjustment for 1M, 1W, 1D, 2W charts
✅ Color-coded signals: Green (bullish), Red (bearish), Blue (neutral)
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📊 Calculations & Methodology
🔹 BTC Price (since 2009) is retrieved from `INDEX:BTCUSD`.
🔹 Macroeconomic Data Sources:
- U.S. Federal Reserve Balance Sheet (Fed) → `ECONOMICS:USCBBS`
- European Central Bank (ECB) Balance Sheet → `FRED:ECBASSETSW`
- Bank of Japan Balance Sheet → `FRED:JPNASSETS`
- People’s Bank of China Balance Sheet → `ECONOMICS:CNCBBS`
- 10-Year Chinese Government Bonds → `TVC:CN10Y`
- U.S. Dollar Index (DXY) → `TVC:DXY`
🔹 Liquidity Index Calculation:
- Macro data combined → `(cn10y / dxy) * (us_cb + jp_cb + cn_cb + eu_cb)`
- math.log()` applied** for logarithmic scaling
- Min-max normalization** to standardize values
🔹 Momentum Calculation:
- Year-over-year change in Liquidity Index(`liquidity_index_last_year`)
- Chande Momentum Oscillator (CMO) for trend analysis
- Weighted Moving Average (WMA) as a signal line
🔹 Trading Signals via Color Coding:
- Green: Strong bullish liquidity phases
- Red: Declining liquidity, bearish environment
- Blue:Transition phases (neutral)
🔹 Momentum Calculation:
- CMO applied to liquidity change (YoY)
- Weighted moving average as signal line
📢 Free & Open Source!
📩 Try the indicator & share your feedback! 🚀
🔹 Not for sale – For the community!
🔹 Open for improvements & contributions.
💡 Your feedback is valuable! What can be improved? 😊
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GERMAN:
🔷 LIQUIDITY Cycle Momentum Indicator (DEUTSCH)
📊 Offener & kostenloser Indikator zur Analyse globaler Liquiditätszyklen in Krypto & Märkten
🚀 Entwickelt für Trader & Investoren, um Makro-Liquiditätsströme zu verstehen und Marktzyklen zu erkennen.
⚠ Am besten für den 1-Monats-Chart geeignet!
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🔑 Funktionen
✅ BTC-Daten seit 2009** (`INDEX:BTCUSD`)
✅ Globale Liquiditätsanalyse (Zentralbankbilanzen, Staatsanleihen, DXY)
✅ Logarithmische Berechnung für präzisere Trends
✅ Vergleich mit Vorjahreswerten zur Zyklenanalyse
✅ Chande Momentum Oszillator (CMO) zur Trenderkennung
✅ Automatische Anpassung an 1M, 1W, 1D, 2W Charts
✅ Farbkodierte Signale: Grün (bullisch), Rot (bärisch), Blau (neutral)
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📊 Berechnungsmethodik
🔹 BTC Price (since 2009) is retrieved from `INDEX:BTCUSD`.
🔹 Macroeconomic Data Sources:
- U.S. Federal Reserve Balance Sheet (Fed) → `ECONOMICS:USCBBS`
- European Central Bank (ECB) Balance Sheet → `FRED:ECBASSETSW`
- Bank of Japan Balance Sheet → `FRED:JPNASSETS`
- People’s Bank of China Balance Sheet → `ECONOMICS:CNCBBS`
- 10-Year Chinese Government Bonds → `TVC:CN10Y`
- U.S. Dollar Index (DXY) → `TVC:DXY`
🔹 Liquidity Index Calculation:
- Macro data combined → `(cn10y / dxy) * (us_cb + jp_cb + cn_cb + eu_cb)`
- math.log()` applied** for logarithmic scaling
- Min-max normalization** to standardize values
🔹 Momentum Calculation:
- Year-over-year change in Liquidity Index(`liquidity_index_last_year`)
- Chande Momentum Oscillator (CMO) for trend analysis
- Weighted Moving Average (WMA) as a signal line
🔹 Trading Signals via Color Coding:
- Green: Strong bullish liquidity phases
- Red: Declining liquidity, bearish environment
- Blue:Transition phases (neutral)
🔹 Momentum Calculation:
- CMO applied to liquidity change (YoY)
- Weighted moving average as signal line
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📢 Kostenlos & Open Source!
📩 Teste den Indikator & gib Feedback! 🚀
🔹 Kein Verkauf – Für die Community!
🔹 Code offen für Verbesserungen & Weiterentwicklungen.
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💡 Deine Meinung ist gefragt! Was kann verbessert werden?😊
