Saty Phase Oscillator - jakeskeezPublishing the Saty phase oscillator -
please go to youtube to watch his full video: www.youtube.com
It's not my full sctipt - it's his!
Wskaźniki i strategie
Crypto Value RainbowThe best way to value Crypto value is comparing Crypto price against the available money supply circulating in the economy. There are 3 different 4 different type of money supply M0/M1/M2/M3 which denotes the level of money printed by central government to the final credit lend out to the economy via fractional banking system. This rainbow valuation measures the relative Crypto price against the M0/M1/M2/M3 from most popular currency that account for more than 75% of money supply in the world.
CV = US MS + EU MS + CN MS + JP MS + UK MS
CV = Crypto Value
MS = Money Supply
This can only be applied to a few crypto currency:
- BTCUSD Bitcoin
- ETHUSD Ehereum
- BNBUSD BNB
- SOLUSD Solana
- XRPUSD XRP
- TONUSD Toncoin
- DOGEUSD Dogecoin
- TRXUSD Tron
- ADAUSD Cardano
- AVAXUSD Avalanche
The rainbow color is the multiplier for the total Crypto Value by 1x,2x,3x,...,10x
Purple EMAs Rainbow15 EMAs in different shades of purple, when they start to getting closer is a good moment to entry in a short or long position. (you can also change they colors)
TechniTrend: Volatility and MACD Trend Highlighter🟦 Overview
The "Candle Volatility with Trend Prediction" indicator is a powerful tool designed to identify market volatility based on candle movement relative to average volume while also incorporating trend predictions using the MACD. This indicator is ideal for traders who want to detect volatile market conditions and anticipate potential price movements, leveraging both price changes and volume dynamics.
It not only highlights candles with significant price movements but also integrates a trend analysis based on the MACD (Moving Average Convergence Divergence), allowing traders to gauge whether the market momentum aligns with or diverges from the detected volatility.
🟦 Key Features
🔸Volatility Detection: Identifies candles that exceed normal price fluctuations based on average volume and recent price volatility.
🔸Trend Prediction: Uses the MACD indicator to overlay trend analysis, signaling potential market direction shifts.
🔸Volume-Based Analysis: Integrates customizable moving averages (SMA, EMA, WMA, etc.) of volume, providing a clear visualization of volume trends.
🔸Alert System: Automatically notifies traders of high-volatility situations, aiding in timely decision-making.
🔸Customizability: Includes multiple settings to tailor the indicator to different market conditions and timeframes.
🟦 How It Works
The indicator operates by evaluating the price volatility in relation to average volume and identifying when a candle's volatility surpasses a threshold defined by the user. The key calculations include:
🔸Average Volume Calculation: The user selects the type of moving average (SMA, EMA, etc.) to calculate the average volume over a set period.
🔸Volatility Measurement: The indicator measures the body change (difference between open and close) and the high-low range of each candle. It then calculates recent price volatility using a standard deviation over a user-defined length.
🔸Weighted Index: A unique index is created by dividing price change by average volume and recent volatility.
🔸Highlighting Volatility: If the weighted index exceeds a customizable threshold, the candle is highlighted, indicating potential trading opportunities.
🔸Trend Analysis with MACD: The MACD line and signal line are plotted and adjusted with a user-defined multiplier to visualize trends alongside the volatility signals.
🟦 Recommended Settings
🔸Volume MA Length: A default of 14 periods for the average volume calculation is recommended. Adjust to higher periods for long-term trends and shorter periods for quick trades.
🔸Volatility Threshold Multiplier: Set at 1.2 by default to capture moderately significant movements. Increase for fewer but stronger signals or decrease for more frequent signals.
🔸MACD Settings: Default MACD parameters (12, 26, 9) are suggested. Tweak based on your trading strategy and asset volatility.
🔸MACD Multiplier: Adjust based on how the MACD should visually compare to the average volume. A multiplier of 1 works well for most cases.
🟦 How to Use
🔸Volatile Market Detection:
Look for highlighted candles that suggest a deviation from typical price behavior. These candles often signify an entry point for short-term trades.
🔸Trend Confirmation:
Use the MACD trend analysis to verify if the highlighted volatile candles align with a bullish or bearish trend.
For example, a bullish MACD crossover combined with a highlighted candle suggests a potential uptrend, while a bearish crossover with volatility signals may indicate a downtrend.
🔸Volume-Driven Strategy:
Observe how volume changes impact candle volatility. When volume rises significantly and candles are highlighted, it can suggest strong market moves influenced by big players.
🟦 Best Use Cases
🔸Trend Reversals: Detect potential trend reversals early by spotting divergences between price and MACD within volatile conditions.
🔸Breakout Strategies: Use the indicator to confirm price breakouts with significant volume changes.
🔸Scalping or Day Trading: Customize the indicator for shorter timeframes to capture rapid market movements based on volatility spikes.
🔸Swing Trading: Combine volatility and trend insights to optimize entry and exit points over longer periods.
🟦 Customization Options
🔸Volume-Based Inputs: Choose from SMA, EMA, WMA, and more to define how average volume is calculated.
🔸Threshold Adjustments: Modify the volatility threshold multiplier to increase or decrease sensitivity based on your trading style.
🔸MACD Tuning: Adjust MACD settings and the multiplier for trend visualization tailored to different asset classes and market conditions.
🟦 Indicator Alerts
🔸High Volatility Alerts: Automatically triggered when candles exceed user-defined volatility levels.
🔸Bullish/Bearish Trend Alerts: Alerts are activated when highlighted volatile candles align with bullish or bearish MACD crossovers, making it easier to spot opportunities without constantly monitoring the chart.
🟦 Examples of Use
To better understand how this indicator works, consider the following scenarios:
🔸Example 1: In a strong uptrend, observe how volume surges and volatility highlight candles right before price consolidations, indicating optimal exit points.
🔸Example 2: During a downtrend, see how the MACD aligns with volume-driven volatility, signaling potential short-selling opportunities.
Volume Volatility and Delta Indicator (HN)This Volume Volatility Indicator with Overall Average from Hossein.N helps you visualize the volatility of volume on different timeframes and compares it to the average volume over a given period. It includes several components:
Volume Volatility Indicator (Blue Line): This shows the volatility of volume relative to its moving average over a specified period. Higher values indicate more volatile trading conditions.
Long-Term Volatility Average (Orange Line): This line shows the moving average of the volume volatility indicator over a longer period. It acts as a benchmark for comparing the current volume volatility with historical trends.
Average Volume on Up Days (Green Line): Displays the average volume on days when the price is going up (green).
Average Volume on Down Days (Red Line): Displays the average volume on days when the price is going down (red).
Delta in Percentage (Blue Line): This shows the difference between the average volume of up days and down days, expressed as a percentage of the overall moving average of volume. It can be used to identify bullish or bearish volume imbalances. For example:
Positive values indicate that the volume on up days is stronger than on down days, which could suggest a bullish trend.
Negative values suggest that volume on down days is stronger than on up days, potentially indicating a bearish trend.
Zero Line (Gray Dotted Line): A reference line at 0 that helps you identify when the delta is positive or negative, and visualize the neutral point where volume is balanced between up and down days.
How to Use This Indicator:
Add to Your Chart: Copy the script above and paste it into TradingView's Pine Script editor. Click "Add to Chart" to visualize the indicator.
Interpret the Indicator:
Volume Volatility: A higher value suggests high market volatility. When volume is highly volatile, it may indicate more significant price movements or market uncertainty.
Long-Term Average of Volatility: Use this line as a reference to see whether current volatility is above or below average over a longer period.
Delta in Percentage: This is particularly useful to compare the strength of buying and selling volume. A positive delta percentage suggests strong buying pressure, while a negative delta suggests strong selling pressure. The closer the delta is to zero, the more balanced the volume between up and down days.
Use for Trend Confirmation: The indicator can help confirm trends. If the delta percentage is positive and increasing, and the volume volatility is above average, it could signal strong bullish momentum. Conversely, if the delta is negative and the volume volatility is rising, it may suggest bearish sentiment.
Risk Disclaimer:
Important: This indicator is a tool designed to help analyze market conditions. It does not guarantee success in trading and should not be used as the sole basis for making trading decisions. Always do your own research, consider other factors (e.g., price action, market news, fundamentals), and manage your risk appropriately. Trading involves significant risk, and you should only trade with money you can afford to lose. Always ensure you understand the risks involved in trading and use risk management strategies.
By using this tool, you accept full responsibility for any trading decisions and the outcomes thereof. The information presented is for educational and informational purposes only.
Color MomentumA simple yet effective Momentum indicator with dynamic coloring:
Green line when momentum is above zero
Red line when momentum is below zero
Dotted zero line for quick reference
The indicator helps to identify the strength and direction of price movement.
Settings:
Length: Momentum calculation period
Source: Price data source (default: close)
ATR Extreme ZonesHighlights then the price is unusually extended from the 50-day, measured by it's ATR
Multi-Timeframe ATRsThis Multi-Timeframe ATR Indicator displays the Average True Range (ATR) values from multiple timeframes on a single chart, allowing traders to assess market volatility across different time periods. The indicator calculates and plots the ATR for the 1-hour, 3-hour, 4-hour, 1-day, and 2-day timeframes, with the option to toggle each timeframe on or off based on user preferences. By visualizing these ATR values, traders can identify potential price movement expectations for various timeframes and better understand how volatility is shifting across the market. This tool is handy for traders who want to gauge volatility over different time periods and incorporate it into their trading strategies.
By evaluating higher timeframes when entering trades, a trader can better understand market conditions. This insight helps the trader make informed decisions about whether to remain in the trade for a longer period.
The indicator is fully customizable, with color-coded plots for each timeframe and optional labels that display the ATR values directly on the chart. It is ideal for traders looking to add volatility insights to their technical analysis without cluttering their charts.
Dynamic Multi-Timeframe Trend AnalyzerFarklı zaman dilimlerindeki trendi gösteren basit bir yardımcı indikatör.
EMA Crossover Strategy by AzeezacademyExplanation
Buy Condition:
The 9 EMA crosses above the 21 EMA.
Both EMAs (9 and 21) are above the 50 EMA, confirming an uptrend.
Sell Condition:
The 9 EMA crosses below the 21 EMA.
Both EMAs (9 and 21) are below the 50 EMA, confirming a downtrend.
Trade Execution:
When the buy_condition is met, the strategy enters a long position.
When the sell_condition is met, the strategy enters a short position.
Visual Signals:
Green "Buy" labels appear below the bars when a buy signal is generated.
Red "Sell" labels appear above the bars when a sell signal is generated.
My EngulfingEngulfing Candle that everyone can use it to make a simple entry on every pair and every timeframe
Trade Signals - Optimized v6.1Strategy Description:
This indicator is designed to identify potential hidden and regular divergences in price action using RSI (Relative Strength Index). It generates four types of signals:
1. Hidden Bearish Divergence: Indicates potential continuation of a downtrend.
2. Hidden Bullish Divergence: Indicates potential continuation of an uptrend.
3. Regular Bearish Divergence: Indicates potential reversal to a downtrend.
4. Regular Bullish Divergence: Indicates potential reversal to an uptrend.
The strategy applies user-defined parameters for signal sensitivity and ensures a minimum interval between signals to avoid overtrading. Alerts and chart markers are fully synchronized, allowing traders to act on signals in real-time with confidence.
This tool is best suited for swing and intraday trading on assets with sufficient volatility. Always backtest and adjust parameters based on your trading style and the asset being analyzed.
Z-ScoreThe z-score (also known as the standard score) measures how many standard deviations a data point is from the mean of a dataset. It helps determine whether a data point is typical or unusual compared to the dataset.
The formula for the z-score is:
z = \frac{x - \mu}{\sigma}
Where:
• x = the value being evaluated
• \mu = the mean of the dataset
• \sigma = the standard deviation of the dataset
Interpretation:
• A positive z-score indicates the data point is above the mean.
• A negative z-score indicates the data point is below the mean.
• A z-score of 0 means the data point is exactly at the mean.
smoothmoves-channel-strategythis is a trading strategy that should work cryptocurrency pairs currently its on sol/usdt pair for coinbase its win rate is 80% win rate and the net profit is 80 usdt
Dashboard Ais//@version=5
indicator("Custom Trading Dashboard", overlay=true)
/////////// DASHBOARD SETTINGS ///////////
bgColor = color.rgb(20, 30, 40, 90) // Background color of the dashboard
textColor = color.white // Text color
highlightColor = color.rgb(80, 150, 50, 90) // Highlight color
/////////// DATA SOURCES ///////////
symbol = syminfo.ticker
entryPrice = input.float(0.0, "Entry Price")
stopLoss = input.float(0.0, "Stop Loss Price")
takeProfit = input.float(0.0, "Take Profit Price")
riskRatio = na(entryPrice - stopLoss) or na(takeProfit - entryPrice) ? na : ((takeProfit - entryPrice) / (entryPrice - stopLoss))
/////////// HISTORY CALCULATIONS ///////////
tpToday = close > takeProfit ? 1 : 0
slToday = close < stopLoss ? 1 : 0
tpWeekly = close > takeProfit ? 1 : 0
slWeekly = close < stopLoss ? 1 : 0
/////////// DRAW DASHBOARD ///////////
// Declare table variable with 2 columns and 6 rows
var table dashboard = table.new(position.top_right, 2, 6, bgcolor=bgColor, border_width=1)
// Add content to the table
if bar_index == 0
// Header row
table.cell(dashboard, 0, 0, "Custom Dashboard", text_color=color.orange, text_size=size.large, bgcolor=highlightColor)
table.cell(dashboard, 0, 1, "", bgcolor=highlightColor)
// Symbol
table.cell(dashboard, 1, 0, "Symbol:", text_color=textColor)
table.cell(dashboard, 1, 1, symbol, text_color=textColor)
// Entry Price
table.cell(dashboard, 2, 0, "Entry Price:", text_color=textColor)
table.cell(dashboard, 2, 1, str.tostring(entryPrice), text_color=textColor)
// Risk Ratio
table.cell(dashboard, 3, 0, "Risk Ratio:", text_color=textColor)
table.cell(dashboard, 3, 1, na(riskRatio) ? "N/A" : str.tostring(riskRatio, "#.##"), text_color=textColor)
// History Header
table.cell(dashboard, 4, 0, "History (TP/SL)", text_color=textColor, bgcolor=highlightColor)
table.cell(dashboard, 4, 1, "", bgcolor=highlightColor)
// Today TP/SL
table.cell(dashboard, 5, 0, "Today:", text_color=textColor)
table.cell(dashboard, 5, 1, str.tostring(tpToday) + " / " + str.tostring(slToday), text_color=textColor)
// Weekly TP/SL
table.cell(dashboard, 6, 0, "Weekly:", text_color=textColor)
table.cell(dashboard, 6, 1, str.tostring(tpWeekly) + " / " + str.tostring(slWeekly), text_color=textColor)
Good CandlesThis indicator highlights bullish and bearish candles that are higher or lower than the last 10 candles:
Bullish Candles: Colored orange if the current candle's close is higher than the highest close in the last 10 candles.
Bearish Candles: Colored purple if the current candle's close is lower than the lowest close in the last 10 candles.
Key Features:
Look-back period can be adjusted (default is 10).
You can customize the highlight colors for both bullish and bearish candles.
Trading Setup with MA, RSI, ATR, and Donchian ChannelsThe script uses a 50-period Moving Average to identify trends, RSI for entry triggers, and Pivot Points for setting targets or exits.
최적 매매 전략청산 이익률 입력 변수 추가: takeProfitPct를 추가하여 원하는 청산 이익률을 입력할 수 있게 하였습니다.
매수 진입 비율 수정: entryPct를 사용하여 매수 시 진입 금액을 계좌의 일정 비율로 설정하였습니다.
Take Profit 가격 계산 수정: takeProfitPrice를 정확하게 계산하도록 수정하였습니다.
매도 조건 수정: 포지션이 닫혔을 때를 정확히 감지하여 매도 신호를 표시하도록 sellCondition을 수정하였습니다.
매도 신호 표시 개선: 실제 전략의 청산 시점과 매도 신호가 일치하도록 개선하였습니다.^^
geebcountCandle Counter with Explosive Moves Indicator
A custom indicator for counting different types of candles including explosive price movements.
Indicator Overview
This indicator counts green (bullish), red (bearish), neutral candles, and explosive price movements over specified periods.
Inputs
Count Period (จำนวนนับกี่แท่งต่อรอบ): Number of candles to count per round
Display Rounds (จำนวนแสดงผลการนับ): Number of counting rounds to display
Start Date: Optional starting date for the count
Text Color: Color of the displayed labels
Explosive Move % Threshold: Minimum percentage move to qualify as an explosive candle
Calculations
The indicator performs the following counts:
G: Number of green (bullish) candles
R: Number of red (bearish) candles
Y: Number of neutral (doji) candles
E: Number of explosive candles (moves exceeding the threshold percentage)
SMA200 & RSI [Tarun]The SMA200 & RSI Signal Indicator is a powerful tool designed for traders who want to identify potential entry zones based on a combination of price action and momentum. This indicator combines two essential trading components:
SMA200 (Simple Moving Average): A widely used trend-following tool that highlights the overall direction of the market.
RSI (Relative Strength Index): A momentum oscillator that measures the speed and change of price movements.
How It Works:
Price Above SMA200: Indicates bullish market conditions.
RSI Between 40 and 20: Suggests that the asset is in a potential oversold or pullback zone within a bullish trend.
When both conditions are met, the indicator triggers:
Background Highlight: The chart background turns green to indicate a potential signal zone.
Disclaimer:
This indicator is not a standalone trading strategy. Use it in conjunction with other analysis methods such as support and resistance, candlestick patterns, or volume analysis. Always practice proper risk management.
MoentumOptionTrader_BuySell_SignalShows Buy and Sell when Candle above VWAP, CPR, 9 & 21 EMA, same ice versa for Sell Signal.
Horizontal Lines at Multiple Price Levels change to pink change to pink for better usage of indicator and also all are just square root numbers