Ronnie's DikFat Attack - Moving Average Angle/Slope PositionRonnie's DikFat Attack - True Moving Average Angle/Slope Position
Overview
This TradingView indicator, written in Pine Script version 5, injects energy into your chart analysis by calculating and displaying the angles of four moving averages (MAs). It empowers you to customize each MA—choosing both type and length—to suit your trading strategy perfectly.
How It Works
1. User Inputs:
Under the “MA Settings” group, the script offers an intuitive interface where you can define four different moving averages. Each MA can be set to one of several types (SMA, EMA, SMMA, VWMA, Hull, WMA, or TEMA) and assigned a specific length (number of bars).
2. Dynamic Moving Average Calculation:
A dedicated function ( getMA ) selects and computes the appropriate moving average using TradingView’s built-in functions (like ta.ema , ta.sma , etc.). This yields four customized MA series based on your inputs.
3. Calculating the Angle of Momentum:
The script employs a robust function ( calcAngle ) that measures the change between consecutive values of each MA to determine its slope. This slope is then converted into an angle in degrees using the arctangent function, providing a clear and vivid depiction of trend strength and direction.
4. Visualizing the Angles:
Each moving average’s angle is plotted with its own distinct color, enhancing visual clarity. A horizontal line at 0° acts as a reference point, marking the divide between upward and downward momentum.
Potential Uses
Trend Analysis:
The angle measurement offers a dynamic perspective on trend strength. Steep positive angles suggest vigorous upward movement, while steep negative angles indicate strong downward trends.
Signal Confirmation:
By comparing the angles of multiple moving averages, you can quickly spot momentum shifts and crossover points, which may serve as powerful entry or exit signals.
Tailored Strategy Customization:
The flexibility to choose various MA types and lengths allows this tool to adapt seamlessly to different timeframes and trading styles, enhancing its usefulness in diverse market conditions.
Breadth Indicators
Multi-Timeframe Trend Indicator"Introducing the Multi-Timeframe Trend Indicator: Your Key to Comprehensive Market Analysis
Are you looking for a powerful tool to enhance your trading decisions? Our Multi-Timeframe Trend Indicator offers a unique perspective on market trends across five crucial timeframes.
Key Features:
1. Comprehensive Analysis: Simultaneously view trends for H1, H4, D1, W, and M timeframes.
2. Easy-to-Read Display: Color-coded table for instant trend recognition.
3. Proven Strategy: Utilizes the reliable EMA7, SMA20, and SMA200 crossover method.
How It Works:
- Bullish Trend: When EMA7 > SMA20 > SMA200
- Bearish Trend: When EMA7 < SMA20 < SMA200
- Neutral Trend: Any other configuration
Benefits:
- Align your trades with multiple timeframe trends
- Identify potential trend reversals early
- Confirm your trading decisions with a quick glance
Whether you're a day trader or a long-term investor, this indicator provides valuable insights to support your trading strategy. By understanding trends across multiple timeframes, you can make more informed decisions and potentially improve your trading results.
Don't let conflicting timeframes confuse your strategy. Get the full picture with our Multi-Timeframe Trend Indicator today!"
TICK Indikator
English:
The TICK Indicator measures in real time the number of up ticking stocks minus the number of down ticking stocks on the New York Stock Exchange (NYSE). It can display either the current TICK value ("Normal" mode) or the cumulative TICK values over the trading day ("Cumulative" mode). Positive values indicate market strength, while negative values signal weakness. Colored bars visualize momentum: green shades for rising, red for falling values. The zero line acts as a reference between buying and selling pressure.
Interpretation:
> +1000 and/or continuos lows above 0 → strong buying pressure
< -1000 and/or continuos highs below 0 → strong selling pressure
Around 0 → balanced market
Deutsch:
Der TICK Indikator misst in Echtzeit die Anzahl der Aktien, die an der New York Stock Exchange (NYSE) steigen, minus der Anzahl der fallenden Aktien. Der Indikator kann im "Normal"-Modus den aktuellen TICK-Wert anzeigen oder im "Cumulative"-Modus die kumulierten TICK-Werte über den Tag hinweg summieren. Positive Werte deuten auf eine allgemeine Markstärke hin, während negative Werte Schwäche signalisieren. Farbige Balken visualisieren die Dynamik: grüne Töne bei steigenden, rote bei fallenden Werten. Die Nullinie dient als Referenzpunkt zwischen Kauf- und Verkaufsdruck.
Interpretation:
> +1000 und/oder mehrere aufeinander folgende Tiefs über 0 → starker Kaufdruck
< -1000 und/oder mehrere aufeinander folgende Hochs unter 0 → starker Verkaufsdruck
Nahe 0 → ausgeglichener Markt
Trend Trading IndicatorTrend Trading Indicator – Pine Script v5
Overview
The Trend Trading Indicator is designed to help traders identify market trends quickly and effectively. It highlights uptrends and downtrends using Exponential Moving Averages (EMAs) and provides clear buy and sell signals. The indicator is especially useful for detecting insider movements, marketing-driven price pumps, and potential death spirals in crypto and stock markets.
Key Features
✅ Fast-acting trend detection based on EMAs
✅ Clear buy & sell signals marked in blue (BUY) and red (SELL)
✅ Trend zones visually highlighted:
Green for bullish trends (uptrend)
Red for bearish trends (downtrend)
✅ Bold and visible labels for buy and sell signals
✅ Protects against insider selling & marketing hype cycles
✅ Alerts for crossover events
How It Works
Exponential Moving Averages (EMAs)
Short EMA (default: 50-period) represents fast market movement.
Long EMA (default: 100-period) represents slower trends.
When short EMA crosses above long EMA, it signals a buy opportunity.
When short EMA crosses below long EMA, it signals a sell opportunity.
Trend Zones
The area between the two EMAs is color-filled for better trend visualization.
Green Fill: Indicates a bullish trend where short EMA is above long EMA.
Red Fill: Indicates a bearish trend where short EMA is below long EMA.
Buy & Sell Labels
Buy Signal: Blue label “BUY” appears below the candle.
Sell Signal: Red label “SELL” appears above the candle.
Text is in black & bold for better visibility.
Alerts
Custom alerts notify traders when buy or sell conditions occur.
How to Use
Works best in crypto, forex, and stock markets.
Can be used in trend-following or breakout strategies.
Best suited for medium to long-term trades (adjust EMA settings for scalping).
This Trend Trading Indicator helps traders stay ahead of the market by visually identifying strong trends while reducing risks from insider manipulation and death spirals. 🚀
Crypto USDT VolumeScript Title: USDT Volume
This TradingView indicator calculates a volume metric weighted by price, referred to as "Money." It works by first computing the typical price for each bar as the average of the open, high, low, and close prices. Multiplying this typical price by the bar's volume yields the Money value, which serves as a proxy for the dollar (or USDT) flow during that period.
To improve readability, the script dynamically adjusts the units based on recent data. It examines the highest Money value over the past 100 bars and applies a scaling factor:
Values above 1e9 are scaled to billions (B),
Above 1e6 to millions (M),
Above 1e3 to thousands (K),
Otherwise, no scaling is applied.
The indicator plots these scaled Money values as a column chart. It uses TradingView's default colors—green for bullish bars (where the open is less than the close) and red for bearish bars. Additionally, a label is updated on the last bar to display the current unit used for scaling.
Overall, this script provides a visually intuitive way to track and compare the volume-weighted money flow, making it easier to analyze market activity.
Daily True Range (DTR) vs Average True Range (ATR)Overview
The "DTR vs ATR with Color-Coded Percentage" indicator is a powerful volatility analysis tool designed for traders who want to understand daily price movements in the context of historical volatility. It calculates the Daily True Range (DTR)—the raw measure of a single day’s volatility—and compares it to the Average True Range (ATR), which smooths volatility over a user-defined period (default 14 days). The indicator presents this data in an intuitive table, featuring a color-coded percentage that visually represents how the current day’s move (DTR) stacks up against the average volatility (ATR). This helps traders quickly assess whether the current day’s price action is unusually volatile, average, or subdued relative to recent history.
Purpose
Volatility Comparison: Visualize how the current day’s price range (DTR) relates to the average range (ATR) over a specified period.
Decision Support: Identify days with exceptional movement (e.g., breakouts or reversals) versus normal or quiet days, aiding in trade entry/exit decisions.
Risk Management: Gauge daily volatility to adjust position sizing or stop-loss levels based on whether the market is exceeding or falling short of typical movement.
Features
Daily True Range (DTR) Calculation:
Computes the True Range for the current day as the greatest of:
Current day’s High - Low
High - Previous Close
Low - Previous Close
Aggregates data on any timeframe to ensure accurate daily values.
Average True Range (ATR):
Calculates the smoothed average of DTR over a customizable period (default 14 days) using Wilder’s smoothing method.
Updates in real-time as the day progresses.
Timeframe Flexibility: Works on any chart timeframe (e.g., 1-minute, 1-hour) while always calculating DTR and ATR based on daily data.
Color-Coded Display in either compact or table mode
The percentage value is color-coded in the table based on configurable thresholds:
Safe (default 75): Normal range, within typical volatility
Warning: (default 75-125): Above-average volatility.
Danger (default 125): Exceptionally high volatility
Multi-Timeframe 10-Criteria A-B-C Setup DetectorThis advanced multi-timeframe indicator checks 10 distinct criteria across 5-minute (previous bar) and 1-minute charts to trigger C/B/A setups (8/9/10 criteria).
15-Min ConditionThis is very good. We want trading This is very good. We want tradingThis is very good. We want tradingThis is very good. We want tradingThis is very good. We want tradingThis is very good. We want trading
Nuvem do IchimagroNuvem do Ichimagro, indicador feito pra análise de tendências e operações em todos tempos gráficos
MACD Strategy//@version=5
strategy("MACD Strategy", overlay=true)
//Macd 参数
fastLength = input(12, title="快线长度")
slowLength = input(26, title="慢线长度")
MACDLength = input(9, title="MACD 信号线长度")
// 计算 MACD
MACD = ta.ema(close, fastLength) - ta.ema(close, slowLength)
aMACD = ta.ema(MACD, MACDLength)
delta = MACD - aMACD
// 计算 EMA(10) 和 MA(20)
ema10 = ta.ema(close, 10)
ma20 = ta.sma(close, 20)
// 在图表上绘制 EMA(10) 和 MA(20),用于调试
plot(ema10, title="EMA 10", color=color.blue, linewidth=2)
plot(ma20, title="MA 20", color=color.red, linewidth=2)
// 实时检查条件
// 检查 EMA(10) 是否高于 MA(20)
bool emaAboveMa = ema10 > ma20
// 检查 MACD 是否在信号线上方,且 MACD 和信号线均在 0 轴下方
bool macdCondition = (MACD > aMACD) and (MACD < 0) and (aMACD < 0)
// 添加调试信息 - 当条件满足时绘制图形
plotshape(emaAboveMa, title="EMA Above MA Condition", size=size.small, text="eam")
plotshape(macdCondition, title="MACD Condition", size=size.small, text="macd")
// 当两个条件都满足时,触发买入操作
if (emaAboveMa and macdCondition)
strategy.entry("多头", strategy.long, comment="买入信号")
// 显示买入信号的标签
label.new(bar_index, high, "买入", textcolor=color.white, style=label.style_label_up, size=size.normal)
// 平仓条件
if (ta.crossunder(delta, 0) and MACD > 0 and aMACD > 0)
strategy.close("MacdLE", comment="Close Long")
//if (ta.crossunder(delta, 0))
// strategy.entry("MacdSE", strategy.short, comment="MacdSE")
//plot(strategy.equity, title="equity", color=color.red, linewidth=2, style=plot.style_areabr)
myc 15min//@version=5
strategy("MultiSymbol Smart Money EA sin Lotes ni Pares", overlay=true)
// Parámetros de la estrategia RSI
RSI_Period = input.int(14, title="RSI Periodo", minval=1)
RSI_Overbought = input.float(70, title="RSI sobrecompra")
RSI_Oversold = input.float(30, title="RSI sobreventa")
// Valores fijos para Stop Loss y Take Profit en porcentaje
FIXED_SL = input.float(0.2, title="Stop Loss en %", minval=0.0) / 100
FIXED_TP = input.float(0.6, title="Take Profit en %", minval=0.0) / 100
// Cálculo del RSI
rsi = ta.rsi(close, RSI_Period)
// Condiciones de compra y venta basadas en el RSI
longCondition = rsi <= RSI_Oversold
shortCondition = rsi >= RSI_Overbought
// Precio de entrada
longPrice = close
shortPrice = close
// Ejecutar las operaciones
if (longCondition)
strategy.entry("Compra", strategy.long)
if (shortCondition)
strategy.entry("Venta", strategy.short)
// Fijar el Stop Loss y Take Profit en base al porcentaje de la entrada
if (strategy.position_size > 0) // Si hay una posición larga
longStopLoss = longPrice * (1 - FIXED_SL)
longTakeProfit = longPrice * (1 + FIXED_TP)
strategy.exit("Salir Compra", from_entry="Compra", stop=longStopLoss, limit=longTakeProfit)
if (strategy.position_size < 0) // Si hay una posición corta
shortStopLoss = shortPrice * (1 + FIXED_SL)
shortTakeProfit = shortPrice * (1 - FIXED_TP)
strategy.exit("Salir Venta", from_entry="Venta", stop=shortStopLoss, limit=shortTakeProfit)
Supertrend com Confirmação SMA 50o poder do supertrend com a confirmação de sma de 50 para confirmar as entradas.
KAMA + RSI + ADX + BB with Individual Signals//@version=6
indicator("KAMA + RSI + ADX + BB with Individual Signals", overlay=true)
// --- KAMA Parametreleri ---
fastPeriod = input.int(5, "KAMA Fast Period", minval=2, maxval=20)
slowPeriod = input.int(30, "KAMA Slow Period", minval=10, maxval=50)
effPeriod = input.int(2, "KAMA Efficiency Period", minval=1, maxval=10)
// KAMA Hesaplama Fonksiyonu
kama(close, effPeriod, fastPeriod, slowPeriod) =>
// Verimlilik Oranı (Efficiency Ratio - ER)
change = math.abs(close - close )
// Manuel olarak effPeriod dönemindeki kümülatif toplamı hesapla
var float sum_vol = 0.0
for i = 0 to effPeriod - 1
sum_vol += math.abs(close - close )
volatility = sum_vol
er = volatility == 0 ? 1 : change / volatility
// Düzeltme Faktörü (Smoothing Constant - SC)
sc = math.pow(er * (2.0 / (fastPeriod + 1) - 2.0 / (slowPeriod + 1)) + 2.0 / (slowPeriod + 1), 2)
// KAMA serisini sakla
var float kama_series = close
kama_series := kama_series + sc * (close - kama_series ) // Seriyi güncelle
kama_prev = nz(kama_series , close) // Önceki KAMA değerini al, yoksa kapanış fiyatını kullan
kama_current = kama_prev + sc * (close - kama_prev) // Yeni KAMA değerini hesapla
kama_current // Fonksiyonun dönüş değeri
// KAMA Değeri
kamaValue = kama(close, effPeriod, fastPeriod, slowPeriod)
// --- RSI Parametreleri ---
rsiLength = input.int(14, "RSI Length", minval=2, maxval=50)
rsiOverbought = input.int(70, "RSI Overbought", minval=50, maxval=100)
rsiOversold = input.int(30, "RSI Oversold", minval=0, maxval=50)
rsi = ta.rsi(close, rsiLength)
// --- ADX Parametreleri ---
adxLength = input.int(14, "ADX Length", minval=2, maxval=50)
adxThreshold = input.int(25, "ADX Threshold", minval=10, maxval=50)
= ta.dmi(adxLength, 14) // length ve adxSmoothing (14) argümanları
// --- Bollinger Bantları Parametreleri ---
bbLength = input.int(20, "BB Length", minval=2, maxval=50)
bbMult = input.float(2.0, "BB Multiplier", minval=1.0, maxval=5.0, step=0.1)
= ta.bb(close, bbLength, bbMult)
// --- Her İndikatörün Al-Sat Sinyalleri ---
// KAMA Sinyalleri
kamaBuy = ta.crossover(close, kamaValue)
kamaSell = ta.crossunder(close, kamaValue)
// RSI Sinyalleri
rsiBuy = ta.crossover(rsi, rsiOversold)
rsiSell = ta.crossunder(rsi, rsiOverbought)
// ADX Sinyalleri (Trend güçlenirse al, zayıflarsa sat)
adxBuy = ta.crossover(adx, adxThreshold)
adxSell = ta.crossunder(adx, adxThreshold)
// Bollinger Bantları Sinyalleri
bbBuy = ta.crossover(close, bbUpper)
bbSell = ta.crossunder(close, bbLower)
// --- Görselleştirme ---
// KAMA Çizgisi ve Bollinger Bantları
plot(kamaValue, color=color.orange, title="KAMA", linewidth=2) // KAMA turuncu ve kalın
plot(bbUpper, color=color.blue, title="BB Upper", linewidth=1) // Bollinger üst mavi ve ince
plot(bbMiddle, color=color.blue, title="BB Middle", linewidth=1, style=plot.style_linebr) // Bollinger orta mavi ve ince, kesikli
plot(bbLower, color=color.blue, title="BB Lower", linewidth=1) // Bollinger alt mavi ve ince
// --- Her İndikatör için Al-Sat Sinyalleri ---
// KAMA Sinyalleri
plotshape(kamaBuy, title="KAMA Al", location=location.belowbar, color=color.green, style=shape.triangleup, size=size.small, text="Al")
plotshape(kamaSell, title="KAMA Sat", location=location.abovebar, color=color.red, style=shape.triangledown, size=size.small, text="Sat")
// RSI Sinyalleri
plotshape(rsiBuy, title="RSI Al", location=location.belowbar, color=color.green, style=shape.triangleup, size=size.small, text="Al")
plotshape(rsiSell, title="RSI Sat", location=location.abovebar, color=color.red, style=shape.triangledown, size=size.small, text="Sat")
// ADX Sinyalleri
plotshape(adxBuy, title="ADX Al", location=location.belowbar, color=color.green, style=shape.triangleup, size=size.small, text="Al")
plotshape(adxSell, title="ADX Sat", location=location.abovebar, color=color.red, style=shape.triangledown, size=size.small, text="Sat")
// Bollinger Bantları Sinyalleri
plotshape(bbBuy, title="BB Al", location=location.belowbar, color=color.green, style=shape.triangleup, size=size.small, text="Al")
plotshape(bbSell, title="BB Sat", location=location.abovebar, color=color.red, style=shape.triangledown, size=size.small, text="Sat")
// --- Alt Panelde RSI ve ADX ---
hline(rsiOverbought, "RSI Overbought", color=color.red, linestyle=hline.style_dashed)
hline(rsiOversold, "RSI Oversold", color=color.green, linestyle=hline.style_dashed)
plot(rsi, "RSI", color=color.purple, display=display.pane)
plot(adx, "ADX", color=color.teal, display=display.pane)
hline(adxThreshold, "ADX Threshold", color=color.gray, linestyle=hline.style_dashed)
Historical Risk IndicatorHistorical Risk Indicator — это инструмент, анализирующий ценовую историю актива за заданный период (в месяцах) и оценивающий уровень риска относительно локальных экстремумов. Индикатор рассчитывает процентное расположение текущей цены в диапазоне `минимум–максимум` за заданное количество месяцев.
- 🟢 Зеленый цвет: Низкий риск (цена ближе к минимумам периода).
- 🟠 Оранжевый цвет: Средний риск (цена в среднем диапазоне).
- 🔴 Красный цвет: Высокий риск (цена ближе к максимумам периода).
Этот индикатор помогает трейдерам понимать, насколько текущая цена находится в зоне риска по сравнению с историческим диапазоном.
⚙️ Входные параметры:
- Количество месяцев для анализа (по умолчанию 12) — устанавливает временной диапазон, на основе которого вычисляются уровень риска и ценовые экстремумы.
📊 Как использовать?
- Используется для оценки рыночного положения актива по отношению к его историческим максимумам и минимумам.
- Помогает находить моменты, когда цена находится в "беспокойной" зоне.
- Может быть полезным как самостоятельный инструмент, так и в сочетании с другими индикаторами.
🎯 Идеально подходит для позиционных и свинг-трейдеров, анализирующих долгосрочные движения цены! 🚀
NSE Index Strategy with Entry/Exit MarkersExplanation of the Code
Trend Filter (200 SMA):
The line trendSMA = ta.sma(close, smaPeriod) calculates the 200‑period simple moving average. By trading only when the current price is above this SMA (inUptrend = close > trendSMA), we aim to trade in the direction of the dominant trend.
RSI Entry Signal:
The RSI is calculated with rsiValue = ta.rsi(close, rsiPeriod). The script checks for an RSI crossover above the oversold threshold using ta.crossover(rsiValue, rsiOversold). This helps capture a potential reversal from a minor pullback in an uptrend.
ATR-Based Exits:
ATR is computed by atrValue = ta.atr(atrPeriod) and is used to set the stop loss and take profit levels:
Stop Loss: stopLossPrice = close - atrMultiplier * atrValue
Take Profit: takeProfitPrice = close + atrMultiplier * atrValue
This dynamic approach allows the exit levels to adjust according to the current market volatility.
Risk and Money Management:
The strategy uses a fixed percentage of equity (10% by default) for each trade. The built‑in commission parameter helps simulate real-world trading costs.
sarch cloud EMA, MACD ve Bollinger Bantlarıema yukarıayken buy asagıdayken sell bollinger bantları asagıdayken buy yukarıdayken sell
Mega Indicador (9 Indicadores Ajustados)Mega Indicador (9 Indicadores Ajustados) apenas estou testando isso por favor não usem !
Pro Indicator Qcbest indicator
The Most Accurate Scalping indicator in TradingView - 100% Profitable
In this video we’ll walk you through
Ultimate fairas OilJenis trader saham berikutnya adalah intraday yang melakukan aktivitas perdagangan jual beli saham dalam hari yang sama keesokan harinya atau maksimal dalam jangka waktu tiga hari. Memang benar rentan waktu perdagangan intraday lebih lama daripada scalping, namun strategi ini masih masuk dalam kategori jangka pendek
Swing trading adalah strategi perdagangan saham yang dilakukan dalam jangka waktu beberapa hari hingga minggu. Trader menggunakan strategi ini untuk mendapatkan keuntungan dari perubahan harga saham.
Cara kerja swing trading
Trader membeli saham ketika harga mengalami koreksi atau pembalikan sementara
Trader mempertahankan posisinya untuk beberapa hari atau minggu
Trader menjual saham kembali ketika pergerakan harga sudah sesuai keinginan
Risiko swing trading
Fluktuasi harga saham dalam waktu semalam
Kemungkinan tidak terjualnya saham
Dipengaruhi oleh volatilitas pasar
Tingginya biaya transaksi
Risiko overnight dan weekend, di mana harga bisa gap dan membuka sesi berikutnya dengan harga yang sangat berbeda
Tips swing trading
Gunakan analisis teknikal untuk mengidentifikasi perubahan harga saham dan peluang trading
Pilih saham dengan likuiditas dan volatilitas yang tinggi
Pilih saham dengan nilai kapitalisasi pasar yang besar atau large cap
Tentukan kapan baiknya membeli dan menjual saham
Tetapkan risk/reward ratio berdasarkan stop-loss dan profit target
FAIRAS OIL SWINGSwing trading adalah strategi perdagangan saham yang dilakukan dalam jangka waktu beberapa hari hingga minggu. Trader menggunakan strategi ini untuk mendapatkan keuntungan dari perubahan harga saham.
Cara kerja swing trading
Trader membeli saham ketika harga mengalami koreksi atau pembalikan sementara
Trader mempertahankan posisinya untuk beberapa hari atau minggu
Trader menjual saham kembali ketika pergerakan harga sudah sesuai keinginan
Risiko swing trading
Fluktuasi harga saham dalam waktu semalam
Kemungkinan tidak terjualnya saham
Dipengaruhi oleh volatilitas pasar
Tingginya biaya transaksi
Risiko overnight dan weekend, di mana harga bisa gap dan membuka sesi berikutnya dengan harga yang sangat berbeda
Tips swing trading
Gunakan analisis teknikal untuk mengidentifikasi perubahan harga saham dan peluang trading
Pilih saham dengan likuiditas dan volatilitas yang tinggi
Pilih saham dengan nilai kapitalisasi pasar yang besar atau large cap
Tentukan kapan baiknya membeli dan menjual saham
Tetapkan risk/reward ratio berdasarkan stop-loss dan profit target