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Real-Time RSI Map (RT-RSI)🌀 Real-Time RSI Map (RT-RSI) is an enhanced RSI-based indicator designed to address key limitations of the traditional Relative Strength Index. It specifically solves two major issues:
✅ Real-time tracking of RSI dynamics in relation to price – RRSI captures price levels where RSI briefly enters extreme overbought or oversold zones during the trading session, allowing traders to assess actual intraday "buy/sell" signals rather than relying solely on the closing RSI value.
✅ Fills the gap where RSI spikes intraday but closes neutral – Traditional RSI often misses significant intraday movements that reverse before close. RRSI records these temporary extremes, helping traders detect valuable signals that would otherwise be lost.
📌 Key Benefits:
Identifies price points corresponding to momentary RSI extremes, revealing hidden opportunities
Helps distinguish between true overbought/oversold moves and false breakouts
Especially valuable for active traders and intraday strategies as a real-time signal reference
📐 Fully customizable and compatible with other indicators like RSI, Bollinger Bands, and MACD to build more complete entry/exit systems.
EMA 34/72 CrossoverThese are two trend-following averages based on Fibonacci retracements.
They can be used on any timeframe, but the best fractals are the daily and weekly charts.
Bollinger Bands Z-ScoreBollinger Bands Z-Score Indicator
This indicator transforms the classic Bollinger Bands into a Z-Score oscillator displayed in a separate pane. It standardizes the Bollinger Bands’ basis line by calculating the Z-Score over a user-defined period, allowing you to see how many standard deviations the price deviates from the mean.
Upper and Lower Fixed Lines: These are set at +2 and -2 Z-Score levels, representing common thresholds for overbought and oversold conditions.
Z-Score Oscillator: The normalized Bollinger Bands oscillate smoothly between these fixed boundaries, providing a clearer perspective on volatility extremes.
Z-Score Table: Displayed on the right side, this table shows the current Z-Score value, along with fixed maximum (+2) and minimum (-2) limits, making it easy to track current momentum and volatility in real-time.
Use Cases:
Identify overextended price moves with standardized volatility measures.
Spot potential reversals or continuation setups by observing the Z-Score crossing key levels.
Complement traditional Bollinger Bands analysis with a statistically normalized perspective.
Input Parameters:
Length: The period used for Bollinger Bands and Z-Score calculation.
MA Type: Choose the moving average type for the basis line (SMA, EMA, SMMA, WMA, VWMA).
StdDev: Multiplier for the standard deviation bands.
Z-Score Length: The lookback period used to compute the mean and standard deviation for Z-Score normalization.
This indicator is perfect for traders seeking a statistically sound and visually clear representation of Bollinger Bands volatility and extremes.
VWAP Sessione EU/US con Deviazione 1σVWAP Sessione EU/US
This indicator calculates and displays the VWAP (Volume Weighted Average Price) and its first standard deviation (±1σ) separately for the European session (EU, 8:30–22:00 CET) and the US/New York session (US/NY, 14:30–22:00 CET).
EU VWAP and bands: Displayed in orange during the European session, and turn red outside the session (from 22:00 to 8:30).
US (NY) VWAP and bands: Displayed in blue during the NY session (14:30–22:00 CET), gray during the pre-session (8:30–14:29 CET), and red outside the European session.
The VWAP and its bands remain flat and visible even outside the session, maintaining the last calculated value until the new session starts.
The standard deviation is calculated using the volume-weighted variance, providing a real-time measure of session volatility.
Utility:
This tool is designed for intraday traders who want to monitor volume-weighted average levels and volatility during the main market sessions (London/Europe and New York), identifying equilibrium zones and potential dynamic support/resistance levels.
Dynamic coloring:
The automatic coloring helps visually distinguish the market context: active session, pre-session, or out-of-session, enabling a clearer reading of price action in relation to traded volumes.
FX Majors (+CN) Currency Basket ComparisonDescription:
This indicator shows how individual FX major currencies (including CNY) have performed relative to each other. It calculates each currency's performance against a "Trade Weighted" basket of other major currencies.
I created this because I couldn't find it, and I wanted an easy way to see currency behaviour and flows.
Purpose:
It lets you see the relative strength and weakness of each currency, similar to how the DXY measures USD strength, but for all the major currencies. Each basket and currency weights are based on Trade Weighted values from literature/economics.
This way you can maybe decide which crosses / pairs to trade.
Can helps you visualise how events (economic, news or otherwise) affect currency flows.
Features:
Relative Performance: Focuses on how a currency's value has changed over time, rather than its absolute level.
Normalization: Adjusts currency values to a starting date, making it easy to compare their performance.
Adjustable Start Date: You can set the anchor date to choose the starting point for calculating relative performance.
Customizable Weights: The indicator allows you to use custom weights for each currency basket should you wish.
Multi-Pair MTF Crypto Scanner (Advanced Dashboard)This advanced TradingView indicator is designed for crypto traders seeking precise, risk-filtered signals across multiple pairs and timeframes. It combines institutional-grade signal logic with customizable risk management and clean visual labeling.
🔍 Core Features:
✅ Multi-Pair & Multi-Timeframe Scanning
Scans assets like BTC, ETH, SOL across timeframes (15m, 1H, 4H)
✅ Buy/Sell Signal Engine
Based on EMA 50/200 crossover, RSI, and volume spikes
✅ Dynamic Risk Management
Calculates Stop Loss (SL), Take Profit (TP), and Risk-Reward Ratio (RRR) using ATR
✅ RRR Filter
Signals only shown if RRR meets your defined minimum (default 1.5)
✅ Confirmation Mode
Optional setting to avoid premature signals by requiring bar-close confirmation
✅ Visual Trade Zones
Entry, SL, and TP levels plotted directly on chart
✅ Debug Mode
Shows labels when trades are rejected due to RRR filters
🧠 Ideal For:
Crypto scalpers, swing traders, and algorithmic signal testers
Traders focused on high probability entries with defined risk
📣 Alerts:
Real-time alerts for qualified BUY and SHORT signals
Configurable for automated webhook systems or mobile push
Would you like me to embed this as a comment block at the top of your Pine Script?
Real Vision Global M2 (Lag)Global Liquidity for our ARC Students. This indicator lags by about 12 weeks, so make sure to apply that to your charts. Successful trading your bitcoins
Crypto Scalping Dashboard [Dubic]Crypto Scalping Dashboard - 5m
This powerful and user-friendly indicator is designed specifically for crypto scalpers trading the 5-minute timeframe. It combines trend-following and pullback detection techniques to help you enter trades with high confidence and precision.
Key Features:
EMA Trend Detection: Uses fast (9) and slow (21) EMAs to identify the primary market trend.
SuperTrend Confirmation: Filters trades based on the SuperTrend indicator to confirm momentum direction.
Pullback Re-entry Signals: Detects optimal pullbacks using RSI and price action around the fast EMA, enabling you to re-enter trending moves for maximized profits.
Recent High/Low Avoidance: Prevents entries near recent extreme price levels to reduce false signals and premature reversals.
Clear Visual Alerts: Buy and sell arrows mark initial entries and pullback re-entries right on your chart.
Intuitive Dashboard: A compact on-chart table displays real-time signals from EMA, SuperTrend, RSI pullback status, and overall trade bias.
Alert-Ready: Custom alert conditions for new entries and re-entries ensure you never miss a trading opportunity.
How It Works:
The indicator combines multiple trend and momentum signals to identify the start of strong trends and potential re-entries after pullbacks. It only signals entries when the market conditions align across EMA, SuperTrend, and RSI, ensuring high-probability trades. It also avoids taking trades too close to recent support or resistance levels to minimize risks.
Ideal for traders seeking a balanced blend of trend following and tactical pullback entries in fast-moving crypto markets.
High Conviction MACD Entry//@version=5
indicator("High Conviction MACD Entry", overlay=true)
// === INPUTS === //
smaShortLen = input.int(20, title="Short SMA (Fast)")
smaLongLen = input.int(200, title="Long SMA (Slow)")
macdFast = input.int(12, title="MACD Fast")
macdSlow = input.int(26, title="MACD Slow")
macdSignal = input.int(9, title="MACD Signal")
volumeMultiplier = input.float(1.5, title="Volume Multiplier (1m candle)", step=0.1)
// === CALCULATIONS === //
// MACD
= ta.macd(close, macdFast, macdSlow, macdSignal)
macdBullish = hist > 0 and hist <= 0 and macdLine > signalLine
// Volume
avgVolume = ta.sma(volume, 20)
highVolume = volume > avgVolume * volumeMultiplier
// SMA trend
smaFast = ta.sma(close, smaShortLen)
smaSlow = ta.sma(close, smaLongLen)
smaBullish = smaFast > smaSlow and close > smaFast and close > smaSlow
// Final signal
entrySignal = macdBullish and highVolume and smaBullish
// === PLOTS & ALERT === //
plotshape(entrySignal, location=location.belowbar, color=color.green, style=shape.labelup, size=size.small, title="Entry Signal", text="ENTRY")
alertcondition(entrySignal, title="MACD Entry Signal", message="MACD Entry Signal: {{ticker}} at {{close}}")
// Show SMAs
plot(smaFast, color=color.orange, title="SMA 20")
plot(smaSlow, color=color.blue, title="SMA 200")
Squeeze Momentum Indicator Version3This is a corrected version of Squeeze Indicator that initially was authored by LazyBear and modified by lemongeek
BUY when Blue crosses ABOVE the RED signal line
SELL when Blue crosses BELOW the RED signal line
Stochastic RainbowThe Stochastic Rainbow indicator is a multi-layered momentum oscillator designed to provide a comprehensive view of market dynamics by combining multiple stochastic oscillators of varying periods. This approach allows traders to analyze both short-term and long-term momentum within a single visual framework, enhancing decision-making for entries and exits.
🔧 Indicator Settings and Customization
Select from various moving average methods (e.g., SMA, EMA, DEMA, TEMA, WMA, VWMA, RMA, T3) to smooth the stochastic lines. Different methods can affect the responsiveness of the indicator.
The indicator computes five sets of stochastic oscillators with Fibonacci values.
Each %K line is smoothed using the selected moving average type, and a corresponding %D line is plotted for each %K.
🎨 Visual Interpretation
The Stochastic Rainbow indicator plots multiple %K and %D lines, each with distinct colors for easy differentiation.
Additionally, horizontal dotted lines are drawn at levels 80 (Upper Band), 50 (Midline), and 20 (Lower Band) to indicate overbought, neutral, and oversold conditions, respectively.
📈 Trading Strategies Using Stochastic Rainbow
The multi-layered structure of the Stochastic Rainbow allows for nuanced analysis.
Trend Confirmation:
When all %K lines are above 50 and aligned in ascending order (short-term above long-term), it suggests a strong uptrend.
Conversely, when all %K lines are below 50 and aligned in descending order, it indicates a strong downtrend.
Overbought/Oversold Conditions:
If the shorter-term %K lines (e.g., %K 5,3 and %K 8,3) enter the overbought zone (>80) while longer-term lines remain below, it may signal a potential reversal.
Similarly, if shorter-term lines enter the oversold zone (<20) while longer-term lines remain above, it could indicate an upcoming bullish reversal.
Crossovers:
A bullish signal occurs when a %K line crosses above its corresponding %D line.
A bearish signal occurs when a %K line crosses below its corresponding %D line.
Divergence Analysis:
If price makes a new high while the %K lines do not, it may indicate bearish divergence and a potential reversal.
If price makes a new low while the %K lines do not, it may indicate bullish divergence and a potential reversal.
⚙️ Adjusting Settings for Optimal Use
The Stochastic Rainbow's flexibility allows traders to adjust settings to match their trading style and the specific asset's behavior:
Short-Term Trading: Use shorter periods (e.g., 5 for %K) and more responsive moving averages (e.g., WMA, VWMA, EMA, DEMA, TEMA, HMA) to capture quick market movements.
Long-Term Trading: Opt for longer periods (e.g., 55 for %K) and smoother moving averages (e.g., SMA, RMA, T3) to filter out noise and focus on broader trends.
Volatile Markets: Consider using the T3 moving average for its smoothing capabilities, helping to reduce false signals in choppy markets.
By experimenting with different settings, traders can fine-tune the indicator to better suit their analysis and improve decision-making.
SSRO Z-ScoreSSRO Z-Score Indicator — Description
What it does:
This indicator measures the Stablecoin Supply Ratio (SSR) relative to Bitcoin’s market cap and calculates a normalized Z-Score of this ratio to help identify potential market tops and bottoms in the crypto market.
How it works:
The Stablecoin Supply Ratio (SSR) is calculated by dividing Bitcoin’s market capitalization by the combined market capitalization of major stablecoins (USDT, USDC, TUSD, DAI, FRAX).
The SSR is then smoothed over a user-defined lookback period to reduce noise.
A Z-Score is computed by normalizing the SSR over a specified moving window, which shows how far the current SSR deviates from its historical average in terms of standard deviations.
This Z-Score is further smoothed using an exponential moving average (EMA) to filter short-term volatility.
How to read the Z-Score:
Z-Score = 0: SSR is at its historical average.
Z-Score > 0: SSR is above average, indicating Bitcoin’s market cap is relatively high compared to stablecoin supply, potentially signaling bullish market conditions.
Z-Score < 0: SSR is below average, indicating stablecoin supply is high relative to Bitcoin’s market cap, possibly signaling bearish pressure or increased liquidity waiting to enter the market.
Upper and Lower Bands: These user-defined levels (e.g., +2 and -2) represent thresholds for extreme conditions. Values above the upper band may indicate overbought or overheated market conditions, while values below the lower band may indicate oversold or undervalued conditions.
Additional Features:
A dynamic table displays a linear scaled Z-Score alongside the main plot, clamped between -2 and +2 relative to the upper and lower bands for intuitive interpretation.
Usage Tips:
Combine the SSRO Z-Score with other technical indicators or volume analysis for more reliable signals.
Look for divergence between price and Z-Score extremes as potential reversal signals.
Smoothed ROC Z-Score with TableSmoothed ROC Z-Score with Table
This indicator calculates the Rate of Change (ROC) of a chosen price source and transforms it into a smoothed Z-Score oscillator, allowing you to identify market cycle tops and bottoms with reduced noise.
How it works:
The ROC is calculated over a user-defined length.
A moving average and standard deviation over a separate window are used to standardize the ROC into a Z-Score.
This Z-Score is further smoothed using an exponential moving average (EMA) to filter noise and highlight clearer cycle signals.
The smoothed Z-Score oscillates around zero, with upper and lower bands defined by user inputs (default ±2 standard deviations).
When the Z-Score reaches or exceeds ±3 (customizable), the value shown in the table is clamped at ±2 for clearer interpretation.
The indicator plots the smoothed Z-Score line with zero and band lines, and displays a colored Z-Score table on the right for quick reference.
How to read it:
Values near zero indicate neutral momentum.
Rising Z-Scores towards the upper band suggest increasing positive momentum, possible market tops or strength.
Falling Z-Scores towards the lower band indicate negative momentum, potential bottoms or weakness.
The color-coded table gives an easy visual cue: red/orange for strong positive signals, green/teal for strong negative signals, and gray for neutral zones.
Use cases:
Identify turning points in trending markets.
Filter noisy ROC data for cleaner signals.
Combine with other indicators to time entries and exits more effectively.
Simplified STH-MVRV + Z-ScoreSimplified Short Term Holder MVRV (STH-MVRV) + Z-Score Indicator
Description:
This indicator visualizes the Short Term Holder Market Value to Realized Value ratio (STH-MVRV) and its normalized Z-Score, providing insight into Bitcoin’s market cycle phases and potential overbought or oversold conditions.
How it works:
The STH-MVRV ratio compares the market value of coins held by short-term holders to their realized value, helping to identify periods of profit-taking or accumulation by these holders.
The indicator calculates three versions:
STH-MVRV (MVRV): Ratio of current MVRV to its 155-day SMA.
STH-MVRV (Price): Ratio of BTC price to its 155-day SMA.
STH-MVRV (AVG): Average of the above two ratios.
You can select which ratio to display via the input dropdown.
Threshold Lines:
Adjustable upper and lower threshold lines mark significant levels where market sentiment might shift.
The indicator also plots a baseline at 1.0 as a reference.
Z-Score Explanation:
The Z-Score is a normalized value scaled between -3 and +3, calculated relative to the chosen threshold levels.
When the ratio hits the upper threshold, the Z-Score approaches +2, indicating potential overbought conditions.
Conversely, reaching the lower threshold corresponds to a Z-Score near -2, signaling potential oversold conditions.
This Z-Score is shown in a clear table in the top right corner of the chart for easy monitoring.
Data Sources:
MVRV data is fetched from the BTC_MVRV dataset.
Price data is sourced from the BTC/USD index.
Usage:
Use this indicator to assess short-term holder market behavior and to help identify buying or selling opportunities based on extremes indicated by the Z-Score.
Combining this tool with other analysis can improve timing decisions in Bitcoin trading.
JDXBT Monthly VWAPIt calculates the average price for each month, weighted by trading volume, and automatically resets the calculation at the start of each new month. The VWAP line changes colour based on direction: black if rising, fuchsia if falling — helping traders quickly identify monthly price trends with volume context. It’s a useful tool for spotting key levels and momentum shifts on a monthly basis.
2EMA + 13EMA + RSI + MACD Strategya crossover setup that yields arrows where key point and conditions are met
RSI Crossover with RSI EMAdfsffefdfnsdbhavddd
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Nowein-Anchored VWAP with 1% Bands Anchored VWAP with ±1% Bands Starting at 9:00 AM
This indicator calculates an Anchored Volume Weighted Average Price (VWAP) starting precisely at 9:00 AM each trading day (customizable). It plots the VWAP line alongside two dynamic bands set at ±1% above and below the VWAP. The bands help visualize potential support and resistance zones relative to the intraday VWAP anchored at market open.
Key Features:
Anchors VWAP calculation to user-defined start time (default 9:00 AM)
Displays VWAP line in orange for easy tracking
Shows upper and lower dashed bands at ±1% of VWAP in green and red, respectively
Bands update dynamically with each new bar throughout the trading day
Designed for intraday charts (1-minute, 5-minute, etc.)
Use this tool to better assess intraday price action around VWAP and identify potential trading opportunities based on price deviations from the anchored VWAP.
Anchored VWAP with Bands DebugAnchored VWAP with ±1% Bands Starting at 9:00 AM
This indicator calculates an Anchored Volume Weighted Average Price (VWAP) starting precisely at 9:00 AM each trading day (customizable). It plots the VWAP line alongside two dynamic bands set at ±1% above and below the VWAP. The bands help visualize potential support and resistance zones relative to the intraday VWAP anchored at market open.
Key Features:
Anchors VWAP calculation to user-defined start time (default 9:00 AM)
Displays VWAP line in orange for easy tracking
Shows upper and lower dashed bands at ±1% of VWAP in green and red, respectively
Bands update dynamically with each new bar throughout the trading day
Designed for intraday charts (1-minute, 5-minute, etc.)
Use this tool to better assess intraday price action around VWAP and identify potential trading opportunities based on price deviations from the anchored VWAP.
DXY Z-ScoreThe "DXY Z-Score" indicator measures the US Dollar Index’s (DXY) current price relative to its recent average, normalized by its standard deviation.
It calculates a standardized Z-Score that oscillates around zero, highlighting when the DXY is significantly overbought or oversold.
Key features include:
- The Z-Score line oscillating between fixed upper (+2) and lower (-2) horizontal levels
- A shaded background to emphasize the Z-Score range between these bands
- A dynamic table showing the current Z-Score value linked linearly to the Z-Score plot
This indicator is useful for assessing the strength or weakness of the US Dollar relative to its recent history, providing insights into potential market reversals or trend continuations.
Full Rejection Alerts (Bullish & Bearish)- Bearish Engulfing
- Bearish Pin Bar
- Bullish Engulfing
- Bullish Pin Bar
ADX Z-Score OscillatorTitle: ADX Z-Score Oscillator
Description:
The ADX Z-Score Oscillator is a normalized version of the traditional Average Directional Index (ADX), designed to oscillate between fixed bounds for easier interpretation of trend strength. Instead of plotting the raw ADX line, this indicator calculates the Z-Score of the ADX relative to its recent average and standard deviation, allowing for consistent comparison over time and across different assets.
The Z-Score oscillates between fixed horizontal levels of +2 and -2, highlighting extreme values.
The orange line represents the current Z-Score of the ADX.
Horizontal reference lines at +2 (red), 0 (gray), and -2 (green) help define overbought/oversold or strong/weak trend zones.
A dynamic table on the chart shows the current Z-Score with color coding to indicate trend strength:
🔴 Z > 1.5 → Very strong trend
🟠 Z > 0.5 → Moderate trend
🔵 Z < -0.5 → Weakening or reversing trend
🟢 Z < -1.5 → Very weak trend or potential reversal zone
This transformation of the ADX into a bounded oscillator helps traders easily assess trend strength and changes in momentum without the ambiguity of varying ADX scale levels.