Consecutive Candles TestIt sends a buy signal when it detects 3 positive candles in a row and sell after the fourth
Индикаторы и стратегии
Dynamic HTF Candles with Timeframe by ChrisPlots the respective HTF candles next to the chart, so you have idea whats where all the time.
1min plots 15min
5min plots 1h
15min plots 4hours
Dynamic HTF Candles with Timeframe by ChrisPlots the respective HTF candles next to the chart, so you have idea whats where all the time.
1min plots 15min
5min plots 1h
15min plots 4hours
Fractal Model 4 HTF candles [TFR]The Fractal indicator shows you the higher timeframe 4 candles from the timeframe you choose, it takes the OHLC of the data you input
It also shows you the 50% of the wicks, you can extend all of the lines if needed for better visibility, this indicator is for saving you time and mental capacity, because you don't have to constantly switch from timeframe to timeframe.
If the last closed candle has gone outside of previous candle, and then closed inside of the previous range, it will change its color.
The indicator also shows you the timeframe, so you are always in the know on what you are exactly looking at.
Crypto Scalping Pro 65%//@version=5
indicator("Crypto Scalping Pro", overlay=true)
// === НАСТРОЙКИ ===
var bool showTPLevels = input.bool(true, "Показывать уровни TP")
tp1Multiplier = input.float(0.5, "TP1 множитель (50%)")
tp2Multiplier = input.float(1.0, "TP2 множитель (100%)")
// === БАЗОВЫЕ ИНДИКАТОРЫ ===
// Быстрые EMA для 5м таймфрейма
fastEMA = ta.ema(close, 8)
mediumEMA = ta.ema(close, 13)
slowEMA = ta.ema(close, 21)
// Импульсный RSI
rsiValue = ta.rsi(close, 8) // Уменьшенный период для быстрой реакции
rsiMA = ta.sma(rsiValue, 5)
rsiMomentum = rsiValue - rsiMA
// Объем и волатильность
volumeMA = ta.sma(volume, 10)
volumeChange = volume / volumeMA
atr = ta.atr(14)
normalizedATR = atr / close * 100
// Специальный фильтр для крипторынка (учитывает повышенную волатильность)
isVolatilityNormal = normalizedATR < ta.sma(normalizedATR, 50) * 1.5
// === УСЛОВИЯ ВХОДА ===
// Сильный тренд
trendStrength = (fastEMA - slowEMA) / slowEMA * 100
// Длинная позиция
longCondition = fastEMA > mediumEMA and mediumEMA > slowEMA and rsiMomentum > 0 and volumeChange > 1.2 and isVolatilityNormal and close > fastEMA and trendStrength > 0.1
// Короткая позиция
shortCondition = fastEMA < mediumEMA and mediumEMA < slowEMA and rsiMomentum < 0 and volumeChange > 1.2 and isVolatilityNormal and close < fastEMA and trendStrength < -0.1
// === РАСЧЕТ УРОВНЕЙ ===
// Стоп-лосс (динамический, основан на ATR)
stopSize = atr * 1.2 // Немного больше ATR для крипто
// Уровни тейк-профита
var float tp1Long = na
var float tp2Long = na
var float tp1Short = na
var float tp2Short = na
// Присваивание значений для уровней TP
if longCondition
tp1Long := close + (stopSize * tp1Multiplier)
tp2Long := close + (stopSize * tp2Multiplier)
if shortCondition
tp1Short := close - (stopSize * tp1Multiplier)
tp2Short := close - (stopSize * tp2Multiplier)
// === ВИЗУАЛИЗАЦИЯ ===
// Переменные для визуализации
longSL = longCondition ? close - stopSize : na
shortSL = shortCondition ? close + stopSize : na
tp1LongPlot = showTPLevels and longCondition ? tp1Long : na
tp2LongPlot = showTPLevels and longCondition ? tp2Long : na
tp1ShortPlot = showTPLevels and shortCondition ? tp1Short : na
tp2ShortPlot = showTPLevels and shortCondition ? tp2Short : na
// EMAs
plot(fastEMA, "Fast EMA", color=color.blue, linewidth=1)
plot(mediumEMA, "Medium EMA", color=color.yellow, linewidth=1)
plot(slowEMA, "Slow EMA", color=color.red, linewidth=1)
// Сигналы
plotshape(longCondition, "Long", shape.triangleup, location.belowbar, color.green, size=size.small)
plotshape(shortCondition, "Short", shape.triangledown, location.abovebar, color.red, size=size.small)
// Стоп-лоссы и тейки
plot(longSL, "Long SL", color=color.red, style=plot.style_circles)
plot(shortSL, "Short SL", color=color.red, style=plot.style_circles)
plot(tp1LongPlot, "TP1 Long", color=color.green, style=plot.style_circles)
plot(tp2LongPlot, "TP2 Long", color=color.green, style=plot.style_circles)
plot(tp1ShortPlot, "TP1 Short", color=color.red, style=plot.style_circles)
plot(tp2ShortPlot, "TP2 Short", color=color.red, style=plot.style_circles)
// === АЛЕРТЫ ===
alertcondition(longCondition, "Long Signal", "LONG - Вход на повышение!")
alertcondition(shortCondition, "Short Signal", "SHORT - Вход на понижение!")
Trading Toolkit (Michaël van de Poppe) [BigBeluga]Trading Toolkit is a comprehensive indicator inspired by the trading strategies of the renowned crypto influencer Michaël van de Poppe . This tool combines RSI divergences, correction zones, and advanced support/resistance levels to provide traders with a robust framework for analyzing market movements.
🔵 Key Features:
RSI Divergences on Chart:
Automatically identifies and plots RSI divergences (bullish and bearish) directly on the main price chart.
Green lines indicate bullish divergences, suggesting potential upward reversals.
Red lines indicate bearish divergences, signaling possible downward movements.
Correction Boxes:
Traders typically define a correction as a drop in value of 10% or more. This drop can happen over a few hours or a few days. Also, it can last for less than 24 hours or many months.
This indicator visualizes corrections with blue shaded boxes, triggered by a percentage decline defined in the settings.
The boxes highlight sharp price drops, helping traders identify significant market movements quickly.
Advanced Support and Resistance Levels:
Dynamically detects key support and resistance levels based on price pivots.
When the price is above a level, it plots a green shaded area from the cross point, marking support.
When the price drops below a level, it plots a red shaded area, highlighting resistance.
Dashed lines indicate weaker levels, while solid lines represent stronger, more reliable levels.
🔵 Usage:
Identify Divergences: Use plotted RSI divergences to detect potential market reversals and align them with price action.
Analyze Correction Zones: Utilize correction boxes to evaluate significant price declines and find potential buying opportunities during these corrections.
Leverage Support and Resistance Levels: Confirm breakouts, reversals, or consolidation zones with the color-coded areas.
Enhance Risk Management: Combine divergences and correction zones to set informed stop-loss or take-profit levels.
Trading Toolkit empowers traders with actionable insights into market trends, corrections, and support/resistance dynamics, making it an invaluable tool for crypto and forex markets.
Custom High-Win-Rate IndicatorHow It Works
Supertrend:
Identifies the trend direction.
Ensures trades align with the prevailing trend.
RSI:
Confirms whether the market is overbought or oversold.
Filters out signals against the momentum.
MACD:
Provides momentum confirmation via crossovers.
Adds precision to the signals.
Volume:
Ensures signals occur only during high-volume conditions to improve reliability.
Alerts:
Alerts can be enabled in TradingView for real-time notifications.
TOT-BEP-CalculationAverage Premium for Nifty CE & PE with Offsets
Average Premium for Nifty CE & PE with Offsets
Average Premium for Nifty CE & PE with Offsets
Average Premium for Nifty CE & PE with Offsets
Average Premium for Nifty CE & PE with Offsets
Average Premium for Nifty CE & PE with Offsets
Average Premium for Nifty CE & PE with Offsets
Long and Short Signal ArrowsIndicator to Show entry points for Long or Short trades and potential exit points based on moving averages and VWAP
Crypto Market Caps / Global GDP %This indicator compares the total market capitalization of various crypto sectors to the global Gross Domestic Product (GDP), expressed as a percentage. The purpose of this indicator is to provide a visual representation of the relative size of the crypto market compared to the global economy, allowing traders and analysts to understand how the market is growing in relation to the overall economy.
Key Features
Crypto Market Caps -
TOTAL: Represents the total market capitalization of all cryptocurrencies.
TOTAL3: Represents the market capitalization of all cryptocurrencies, excluding Bitcoin and Ethereum.
OTHERS: Represents the market capitalization of all cryptocurrencies excluding the top 10.
Global GDP -
The indicator uses a combination of GDP data from multiple regions across the world, including:
GDP from the EU, North America (NA), and other regions.
GDP data from Asia, Latin America (LATAM), and the Middle East & North Africa (MENA).
Percentage Representation -
The market caps (TOTAL, TOTAL3, OTHERS) are compared to the global GDP, and the result is expressed as a percentage. This allows you to easily see how the size of the cryptocurrency market compares to the entire global economy at any given time.
Plotting and Visualization
The indicator plots the market cap to global GDP ratio for each category (TOTAL, TOTAL3, OTHERS) on the chart.
You can choose which plots to display through user inputs.
The percentage scale makes it easy to compare how much of the global GDP is represented by different parts of the crypto market.
Labels can be added for additional clarity, showing the exact percentage value on the chart.
How to Use
The indicator provides a clear view of the cryptocurrency market's relative size compared to the global economy.
Higher values indicate that the crypto market (or a segment of it) is becoming a larger portion of the global economy.
Lower values suggest the crypto market is still a smaller segment of the global economic activity.
User Inputs
TOTAL/GlobalGDP: Toggle visibility for the total market capitalization of all cryptocurrencies.
TOTAL3/GlobalGDP: Toggle visibility for the market cap of cryptocurrencies excluding Bitcoin and Ethereum.
OTHERS/GlobalGDP: Toggle visibility for the market cap of cryptocurrencies excluding the top 10.
Labels: Enable or disable the display of labels showing the exact percentage values.
Practical Use Cases
Market Sentiment: Gauge the overall market sentiment and potential growth relative to global economic conditions.
Investment Decisions: Help identify when the crypto market is becoming more or less significant in the context of the global economy.
Macro Analysis: Combine this indicator with other macroeconomic indicators to gain deeper insights into the broader economic landscape.
By providing an easy-to-understand percentage representation, this indicator offers valuable insights for anyone interested in tracking the relationship between cryptocurrency market cap and global economic activity.
HBAR StrategyMy Chart Foe Me
My Chart Foe Me
My Chart Foe Me
My Chart Foe Me
My Chart Foe Me
My Chart Foe Me
My Chart Foe MeMy Chart Foe MeMy Chart Foe Me
GL_Prev Week HighThe GL_Prev Week High Indicator is a powerful tool designed to enhance your trading analysis by displaying the previous week's high price directly on your chart. With clear and customizable visuals, this indicator helps traders quickly identify critical price levels, enabling more informed decision-making.
Key Features:
Previous Week's High Line:
Displays the previous week's high as a red line on your chart for easy reference.
Customizable Horizontal Line:
Includes a white horizontal line for enhanced clarity, with adjustable length, color, and width settings.
All-Time High Tracking:
Automatically tracks the all-time high from the chart's history and places a dynamic label above it.
Real-Time Updates:
The indicator updates in real-time to ensure accuracy as new bars are added.
User Inputs for Personalization:
Adjust the left and right span of the horizontal line.
Customize line width and color to suit your preferences.
Use Case:
This indicator is ideal for traders looking to integrate the previous week's high as a key support or resistance level in their trading strategy. Whether you are analyzing trends, identifying breakout zones, or planning entry/exit points, this tool provides valuable insights directly on the chart.
How to Use:
Add the indicator to your chart.
Customize the settings (line length, width, and color) through the input panel to match your preferences.
Use the red line to track the previous week's high and the label to monitor all-time highs effortlessly.
License:
This script is shared under the Mozilla Public License 2.0. Feel free to use and adapt the script as per the license terms.
Golden Cross AL-SAT SinyalleriHareketli Ortalamalar:
short_ma: Kısa vadeli hareketli ortalama (varsayılan: 50 periyot).
long_ma: Uzun vadeli hareketli ortalama (varsayılan: 200 periyot).
ta.sma fonksiyonu, basit hareketli ortalama (SMA) hesaplar.
Golden Cross ve Death Cross:
Golden Cross: Kısa vadeli MA, uzun vadeli MA'nın üzerine çıktığında bir AL sinyali oluşur.
Death Cross: Kısa vadeli MA, uzun vadeli MA'nın altına indiğinde bir SAT sinyali oluşur.
Grafikte Gösterim:
AL Sinyali: Yeşil arka planlı "AL" yazısı, çubuğun altında gösterilir.
SAT Sinyali: Kırmızı arka planlı "SAT" yazısı, çubuğun üstünde gösterilir.
Hareketli ortalamalar mavi (kısa MA) ve turuncu (uzun MA) çizgilerle grafik üzerinde çizilir.
SPX EMA Strategy with Opposite TradesWill enter a trade based on a comparison of the 5/40 minute EMA every user defined number of minutes. It will also enter a trade in the opposite direction if there is an EMA crossover or if 1 minute before the next interval
Dabel MS + FVGThis script is designed to assist traders by identifying market structures, imbalances, and potential trade opportunities using Break of Structure (BOS) and Market Structure Shifts (MSS). It visually highlights imbalances in price action, key pivots, and market structure changes, providing actionable information for making trading decisions.
Key features:
Imbalances Detection: Highlights bullish and bearish price gaps (Fair Value Gaps) using colored boxes. Users can choose the line style (solid, dashed, or dotted) for imbalance midlines.
Market Structure Analysis: Tracks pivot highs and lows to identify BOS and MSS in two separate market structures with adjustable pivot strengths.
Customizable Visualization: Allows users to choose line styles, colors, and display options for both imbalances and market structures.
Alerts: Alerts traders when BOS or MSS occur, helping to monitor the market effectively.
Trading Strategy
Imbalance Trading:
Imbalances (gaps) represent areas where supply or demand was left unfilled. These gaps often act as magnet zones where the price revisits to fill.
Bullish Imbalance: Look for buying opportunities when price enters a green imbalance zone.
Bearish Imbalance: Look for selling opportunities when price enters a red imbalance zone.
Use the midline of the imbalance box as a key reference point for potential reversals.
Break of Structure (BOS) and Market Structure Shift (MSS):
BOS: Indicates a continuation of the existing trend. For example:
Bullish BOS: Look for continuation in the uptrend after a high is broken.
Bearish BOS: Look for continuation in the downtrend after a low is broken.
MSS: Suggests a potential reversal in market structure. For example:
Bullish MSS: Indicates a possible shift from a bearish to bullish market.
Bearish MSS: Indicates a potential shift from a bullish to bearish market.
Multiple Market Structures:
This script provide two sets of market structures, allowing traders to compare short-term and long-term trends.
Adjust the pivot strength to suit your trading style (lower for intraday trading, higher for swing or positional trading).
Entry and Exit:
Entry: Look for entries near imbalances or after confirmed BOS/MSS in line with the overall trend.
Exit: Place stop-loss below/above recent pivots and take profit at nearby support/resistance or imbalance zones.
For New Traders
Focus on Basics: Understand what BOS and MSS mean and how they signal trend direction or reversals.
Use Alerts: Rely on the script's alert system to catch important moments without staring at charts all day.
Start Small: Test this strategy on a demo account before using it live. You can understand it more with practice.
My script RAJU// This Pine Script™ code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
// © nandamandal470
//@version=6
indicator("My script")
plot(close)
My script RAJU// This Pine Script™ code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
// © nandamandal470
//@version=6
indicator("My script")
plot(close)
injeti 55Multiple Timeframes: The script checks for Higher Highs and Lower Lows across 4 different timeframes (5m, 15m, 30m, and 1h).
GoldCross EMA Pro EMA Cross Strategy with Time-Based Confirmation
This indicator implements an enhanced EMA crossover strategy with specific time-based confirmation rules for more accurate trading signals.
Technical Components:
- Primary indicators: 9 EMA and 21 EMA
- Time filter: Active during specific trading hours (08:00-20:00 GMT+3)
- Confirmation methodology: Requires next candle close validation
Strategy Logic:
1. Base Signal Generation:
- Bullish Signal: 9 EMA crosses above 21 EMA
- Bearish Signal: 9 EMA crosses below 21 EMA
2. Confirmation Requirements:
Buy Entry Conditions:
- Initial crossover of 9 EMA above 21 EMA
- Confirmation candle must close above both EMAs
- Must occur within trading hours
Sell Entry Conditions:
- Initial crossover of 9 EMA below 21 EMA
- Confirmation candle must close below both EMAs
- Must occur within trading hours
Visual Components:
- Blue line: 9 EMA
- Red line: 21 EMA
- Green triangles: Buy signals
- Red triangles: Sell signals
- Price labels: Entry points with exact price levels
Alert System:
The indicator includes four types of alerts:
1. Initial crossover alerts
2. Confirmed entry signals
3. Buy condition alerts
4. Sell condition alerts
Risk Management Guidelines:
- Recommended for Gold (XAUUSD)
- Maximum recommended leverage: 100:1
- Recommended Take Profit: $2.00
- Recommended Stop Loss: $1.80
- Risk-Reward Ratio: ~1.11
Usage Notes:
- Designed for 5-minute timeframe
- Integrated time filter helps avoid low-liquidity periods
- Confirmation system reduces false signals
- Best used in trending market conditions
- Consider using with additional confluence factors
RISK DISCLAIMER:
This indicator is designed for educational and informational purposes only. Trading carries significant risks:
1. Market Risk Warning:
- Past performance does not guarantee future results
- The financial markets can be highly volatile
- No trading system guarantees profits
2. Leverage Risk Warning:
- Higher leverage amplifies both gains and losses
- Never exceed the recommended leverage of 100:1
- Always use proper position sizing
3. General Precautions:
- Never trade with money you cannot afford to lose
- Always practice on a demo account first
- Understand that this indicator is just one tool and should not be used in isolation
- Backtest thoroughly before live trading
- Monitor and adjust your risk management strategy regularly
This strategy combines momentum and trend-following principles with specific timing requirements to filter out low-quality signals and enhance trading precision. Remember that successful trading requires proper education, experience, and emotional control.
The developer of this indicator will not be responsible for any losses incurred from using this tool. Always conduct your own analysis and due diligence before making trading decisions.
7–9 Day Swing Trading//@version=5
strategy("7–9 Day Swing Trading", overlay=true)
// Input Parameters
maLength = input.int(9, "Moving Average Length") // Short-term moving average for trend
rsiLength = input.int(7, "RSI Length") // RSI to capture short-term momentum
rsiOverbought = input.float(70, "RSI Overbought Level") // Overbought level for RSI
rsiOversold = input.float(30, "RSI Oversold Level") // Oversold level for RSI
volumeMultiplier = input.float(1.5, "Volume Multiplier") // Volume threshold multiplier
// Indicators
sma = ta.sma(close, maLength) // Simple Moving Average
rsi = ta.rsi(close, rsiLength) // Relative Strength Index
averageVolume = ta.sma(volume, 14) // 14-period average volume
// Conditions for Entry
longCondition = close > sma and rsi < rsiOversold and volume > (averageVolume * volumeMultiplier)
shortCondition = close < sma and rsi > rsiOverbought and volume > (averageVolume * volumeMultiplier)
// Strategy Logic
if (longCondition)
strategy.entry("Long", strategy.long)
if (shortCondition)
strategy.entry("Short", strategy.short)
// Exit Logic
exitConditionLong = rsi > rsiOverbought or close < sma
exitConditionShort = rsi < rsiOversold or close > sma
if (exitConditionLong)
strategy.close("Long")
if (exitConditionShort)
strategy.close("Short")
// Plot Indicators
plot(sma, color=color.blue, linewidth=2, title="SMA")
hline(rsiOverbought, "Overbought", color=color.red, linestyle=hline.style_dotted)
hline(rsiOversold, "Oversold", color=color.green, linestyle=hline.style_dotted)