RSI + MACD + Liquidity FinderLiquidity Finder: The liquidity zones are heuristic and based on volume and swing points. You may need to tweak the volumeThreshold and lookback to match the asset's volatility and timeframe.
Timeframe: This script works on any timeframe, but signals may vary in reliability (e.g., higher timeframes like 4H or 1D may reduce noise).
Customization: You can modify signal conditions (e.g., require only RSI or MACD) or add filters like trend direction using moving averages.
Backtesting: Use TradingView's strategy tester to evaluate performance by converting the indicator to a strategy (replace plotshape with strategy.entry/strategy.close).
在腳本中搜尋"RSI MACD"
RSI + MACD Strategy (ETHUSD 1D)This script uses a combination of MACD, RSI and Stochastic RSI to find tops and bottoms with a ~70% profit rate. While it is successful with all of the top market coins, ETHUSD is by far showing the best results. It is fine tuned only for 1D charts, any other time interval results in losses. It's been tested with shorting as well, but longing + selling gives better returns.
Each market is slightly different, but backtests from October 2015 on Poloniex show almost 300,000%(!!) gains. While it is unlikely to produce such gains going forward (but who knows!), the profit rate is still much higher than buy–and–hold on any long-term backtests. As always, don't follow a script blindly and use your own best judgement when trading.
DISCLAIMER:
This script should be used for educational purposes only, and is not intended to provide trading advice. Use at your own risk!
RSI-MACD-STOCH WeightedThis indicator establishes a trend change point in the 3 indicators, which use the default parameters since the idea is to have the same vision as most, then establish a weighting of the 3 trend change points and draw up a line which determines the weighted trend change point, the only parameter used is a factor that is the relationship between the last 10 cycles, which are established exponentially, so that the higher number considers more volatility
Stochastic RSI + MACD + ADX Here are the conditions
#1 The time scale is same as the overall top chart choice.
#2 The alert should be sent to desktop notification
For Buy Alert
1. The Stochastic RSI is over sold. Meaning less than or equal to 20
2. The MACD signal (orange line) is above MACD
3. ADX <= DI+ and DI- > DI+
Sell Alert
1. The Stochastic RSI is over bought. Meaning above or equal to 80
2. The MACD is above MACD signal (orange line)
3. ADX>= DI+ and DI+ > DI-
RSI, SRSI, MACD and DMI cross - Open source codeHello,
I'm a passionate trader who has spent years studying technical analysis and exploring different trading strategies. Through my research, I've come to realize that certain indicators are essential tools for conducting accurate market analysis and identifying profitable trading opportunities. In particular, I've found that the RSI, SRSI, MACD cross, and Di cross indicators are crucial for my trading success.
Detailed explanation:
The RSI is a momentum indicator that measures the strength of price movements. It is calculated by comparing the average of gains and losses over a certain period of time. In this indicator, the RSI is calculated based on the close price with a length of 14 periods.
The Stochastic RSI is a combination of the Stochastic Oscillator and the RSI. It is used to identify overbought and oversold conditions of the market. In this indicator, the Stochastic RSI is calculated based on the RSI with a length of 14 periods.
The MACD is a trend-following momentum indicator that shows the relationship between two moving averages of prices. It consists of two lines, the MACD line and the signal line, which are used to generate buy and sell signals. In this indicator, the MACD is calculated based on the close price with fast and slow lengths of 12 and 26 periods, respectively, and a signal length of 9 periods.
The DMI is a trend-following indicator that measures the strength of directional movement in the market. It consists of three lines, the Positive Directional Indicator (+DI), the Negative Directional Indicator (-DI), and the Average Directional Index (ADX), which are used to generate buy and sell signals. In this indicator, the DMI is calculated with a length of 14 periods and an ADX smoothing of 14 periods.
The indicator generates buy signals when certain conditions are met for each of these indicators.
1) For the RSI, a buy signal is generated when the RSI is below or equal to 35 and the Stochastic RSI %K is below or equal to 15, or when the RSI is below or equal to 28 the Stochastic RSI %K is below or equal to 15 or when the RSI is below or equal to 25 and the Stochastic RSI %K is below or equal to 10 or when the RSI is below or equal to 28.
2) For the MACD, a buy signal is generated when the MACD line is below 0, there is a change in the histogram from negative to positive, the MACD line and histogram are negative in the previous period, and the current histogram value is greater than 0.
3) For the DMI, a buy signal is generated when the Positive Directional Indicator (+DI) crosses above the Negative Directional Indicator (-DI), and the -DI is less than the +DI.
The indicator generates sell signals when certain conditions are met for each of these indicators:
1) For the RSI, a sell signal is generated when the RSI is above or equal to 75 and the Stochastic RSI %K is above or equal to 85, or when the RSI is above or equal to 80 and the Stochastic RSI %K is above or equal to 85, or when the RSI is above or equal to 85 and the Stochastic RSI %K is above or equal to 90 or when the RSI is above or equal to 82.
2)For the MACD, a sell signal is generated when the MACD line is above 0, there is a change in the histogram from positive to negative, the MACD line and histogram are positive in the previous period, and the current histogram value is less than the previous histogram value. On the other hand, a buy signal is generated when the MACD line is below 0, there is a change in the histogram from negative to positive, the MACD line and histogram are negative in the previous period, and the current histogram value is greater than the previous histogram value.
3)For the DMI a bearish signal is generated when plusDI crosses above minusDI, indicating that bulls are losing strength and bears are taking control.
The indicator uses a combination of these four indicators to generate potential buy and sell signals. The buy signals are generated when RSI and SRSI values are in oversold conditions, while sell signals are generated when RSI and SRSI values are in overbought conditions. The indicator also uses MACD crossovers and DMI crossovers to generate additional buy and sell signals.
When a signal is strong?
The use of multiple signals within a specific timeframe can increase the accuracy and reliability of the signals generated by this indicator. It is recommended to look for at least two signals within a range of 5-8 candles in order to increase the probability of a successful trade.
Why it's original?
1) There is no indicator in the library that combine all of these indicators and give you a 360 view
2)The combination of the RSI, Stochastic RSI, MACD, and DMI indicators in a single script it's unique and not available in the libray.
3)The specific parameters and conditions used to calculate the signals may be unique and not found in other scripts or libraries.
4)The use of plotshape() to plot the signals as shapes on the chart may be unique compared to other scripts that simply plot lines or bars to indicate signals.
5)The use of alertcondition() to trigger alerts based on the signals may be unique compared to other scripts that do not have custom alert functionality.
Keep attention!
It is important to note that no trading indicator or strategy is foolproof, and there is always a risk of losses in trading. While this indicator may provide useful information for making conclusions, it should not be used as the sole basis for making trading decisions. Traders should always use proper risk management techniques and consider multiple factors when making trading decisions.
Support me:)
If you find this new indicator helpful in your trading analysis, I would greatly appreciate your support! Please consider giving it a like, leaving feedback, or sharing it with your trading network. Your engagement will not only help me improve this tool but will also help other traders discover it and benefit from its features. Thank you for your support!
Technical Probability MetrixTechnical Probability Metrix — Study Material (for TradingView learners)
This document explains, in plain language, what each block of the script does, how the indicators are calculated, and how to read the on-chart dashboard. Use it to learn—not to replace your own analysis or risk management.
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1) What this script is designed to do
Goal: combine multiple classic indicators (RSI, MACD, Stochastic, Volume, VWAP, EMA cross, simple Order-Block band, trend structure, pivots, and Fibonacci context) into:
• a composite trend/probability score
• a clean horizontal dashboard table (status, values, strengths, probabilities)
• alerts for major state changes
It is an overlay study (draws on price chart) and is timeframe-agnostic, with one cross-check on the 15-minute chart for EMA(9/20).
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2) Inputs & configuration
All inputs appear in TradingView’s Settings → Inputs and are grouped for clarity.
Elliott Wave (pivot scaffolding)
• Wave Detection Period (wavePeriod): bars on each side of a pivot. Higher = fewer but stronger pivots.
• Show Wave Labels/Lines (placeholders in this version): toggles for potential future labeling/lines.
• Trend Lookback (trendLookback): length for structural trend checks (HH/HL, linreg slope, bar-up/down counts).
Fibonacci
• Show Fibonacci Levels (style/color reserved here).
• Fib Calculation Lookback (fibLookback): range used to define “swing high/low” context.
Technical Indicators
• RSI Length: default 14.
• MACD Fast/Slow/Signal: 12/26/9.
• Stochastic Length: %K length (with %D = SMA(3) inside the code).
• Volume MA Length: period for volume moving average and relative volume.
• EMA 9/20 Periods: for fast/slow moving averages.
Display
• Show Summary Table: toggles the on-chart dashboard.
• Table Position & Size: choose where and how large.
Probability
• Number of Probability Levels: number of “target steps” (probability ladder).
• Adaptive Target Direction: if enabled, directs the ladder by detected trend.
Colors
Customization for bullish/bearish and Fibonacci tint.
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3) Core calculations & signals
3.1 RSI
• Formula: standard ta.rsi(close, rsiLength) (0–100).
• Interpretation in script:
o >70: Overbought (weighted negatively in score).
o <30: Oversold (weighted positively).
o Else: Neutral.
3.2 MACD
• Formula: ta.macd(close, fast, slow, signal) → returns MACD line, Signal line, Histogram.
• Signal logic:
o Bullish when MACD > Signal and Histogram rising.
o Bearish when MACD < Signal and Histogram falling.
• Use: contributes ±1.5 to the composite score; histogram value shown in table.
3.3 Stochastic (%K/%D)
• Formula: %K = ta.stoch(close, high, low, length); %D = SMA(%K, 3).
• Signal logic:
o Bullish when %K > %D and %K < 80 (up-turn within range).
o Bearish when %K < %D and %K > 20 (down-turn within range).
• Use: mild ±1 weight; value displayed and strength bar shown.
3.4 Volume analysis
• Volume MA: ta.sma(volume, volumeLength).
• Relative volume (volRatio): volume / volMA.
o High volume: volRatio > 1.5 (context for conviction).
• Use: if high volume and green candle → +1.5; if high volume and red → −1.5; else neutral.
3.5 VWAP
• Value: ta.vwap(hlc3).
• Signals:
o Above VWAP: bullish (+1.5).
o Below VWAP: bearish (−1.5).
• Distance % also computed for strength bar: |close − vwap| / close * 100.
3.6 Simple Order-Block band (context proxy)
• Window: highest high / lowest low over 20 bars.
• Midline (obMid): average of band extremes.
• Signals:
o Close > obMid: bullish (+1).
o Close < obMid: bearish (−1).
• Strength %: where current price sits within the band.
Note: This is not a full institutional order-block model—just a mid-band context.
3.7 EMA(9/20) trend & 15-minute cross-check
• On current chart: EMA(9) vs EMA(20) to get distance % (trend strength proxy).
• On 15-minute timeframe (via request.security):
o Bullish cross: EMA9_15 > EMA20_15 (+1.5).
o Bearish cross: EMA9_15 < EMA20_15 (−1.5).
• Why multi-TF: filters noise on lower TFs and adds confirmation on higher.
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4) Composite Trend Model
4.1 Structure & momentum features
• Price position within the trendLookback range.
• Linear regression slope over trendLookback.
• MA trend: SMA(20) vs SMA(50).
• Swing structure: compares recent 20-bar HH/HL vs prior 20-bar HH/HL.
• Bar dominance: counts up-bars vs down-bars across lookback.
4.2 TrendScore (cumulative)
• Adds/subtracts points for:
o Price position (top/bottom of lookback range),
o LinReg slope sign,
o MA(20/50) relationship,
o Swing structure (HH+HL or LH+LL) with double weight,
o Up-bar dominance.
• Classification:
o > +1 → Bullish trend
o < −1 → Bearish trend
o else → Neutral
This TrendScore also contributes ±1.5 into the totalScore separately (trendWeight) to reflect overall regime.
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5) Pivot detection (Elliott-style scaffolding)
• Purpose: capture recent significant highs/lows using ta.pivothigh/low with wavePeriod.
• Saves the last ~14 highs and lows (values and their bar indexes).
• Use here: not labeling Elliott waves, but used to compute wavePositionWeight:
o Finds the most recent high/low pair and locates current price within that range.
o If price sits in the lower 38.2% of that range → +2; between 38.2–61.8% → +1; above 61.8% → −1 (mean-reversion bias).
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6) Fibonacci context
• Pulls highest high / lowest low over fibLookback to understand the active swing.
• Color options are provided; actual level plotting is minimal in this version.
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7) Probability engine
7.1 TotalScore and base probability
• TotalScore = sum of all component weights:
o RSI, MACD, Stoch, Volume, VWAP, OB, EMA(15m), Wave position, and Trend regime.
• Normalization: maps TotalScore to 0–100% via a maxScore (15) to create probabilityBase.
7.2 Individual indicator probabilities (for the table)
• Each indicator also outputs its own probability (e.g., bullish MACD ≈ 70%, bearish ≈ 30%, neutral ≈ 50%).
• The last column shows the Overall Probability (probabilityBase).
7.3 Target ladder (probability steps)
• On the final bar, the script builds a ladder of numTargets probabilities that taper with distance.
• Direction:
o If Adaptive: follows the detected trend (bullish → up targets; bearish → down).
o If not: direction depends on the sign of TotalScore.
• The first target’s probability is also highlighted in the last column’s cells.
The ladder is a confidence heuristic, not a price target generator. It gives you a decaying probability as you aim further from current conditions.
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8) The on-chart horizontal dashboard
The dashboard is a table with:
• Title row
• Headers: RSI, MACD, STOCH, VOLUME, TREND, VWAP, OB, EMA, SIGNAL, PROBABILITY
• Row: STATUS
Shows categorical status (e.g., OVERBOUGHT, BULLISH). Background/text colors follow bullish/bearish/neutral logic.
• Row: VALUE
Numerical readouts: RSI, MACD histogram, %K, Relative Volume (×), TrendScore, VWAP distance %, OB strength %, EMA distance %, and TotalScore.
• Row: STRENGTH
Text-based progress bars (█░) scaled to each metric’s natural range (e.g., RSI 0–100, VWAP distance cap 5%).
• Row: PROBABILITY
Per-indicator probability (%) with color emphasis when >70 (bullish) or <30 (bearish).
The rightmost column shows the Main overall probability and a bar for the first target.
Reading tips
• Think of the STATUS row as directional state, VALUE as magnitude, STRENGTH as confidence, and PROBABILITY as a decision helper.
• Look for confluence: several green/bullish blocks + high overall probability + bullish TrendScore is stronger than one isolated signal.
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9) Alerts included
The study raises alerts when:
• Strong Buy: TotalScore > 5
• Strong Sell: TotalScore < −5
• Trend flips: transitions into bullish or bearish trend regime
• EMA(9/20) 15-min crosses: bullish or bearish
Add these in TradingView’s Alerts panel after applying the indicator to a chart.
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10) Practical usage & tips
• Timeframes: The logic works on any chart; the EMA check consults 15-minute for an extra filter. If your main chart is 15m or higher, this acts as self-confirmation; if you’re on 1–5m, it acts like a higher-TF compass.
• Markets: Works on crypto, equities, indices, FX, futures. For illiquid symbols, volume/OB context may be noisy.
• TrendLookback tuning:
o Scalpers: 50–75 to make the model more responsive.
o Swing: 100–200 for smoother regime classification.
• Volatility consideration: When VWAP distance and EMA distance bars are large, trends may be extended—this is good for trend-following but risky for late entries.
• Mean-reversion cues: RSI oversold + wavePosition in the lower third + neutralizing MACD can be an early bounce setup—but wait for confirmation (e.g., EMA cross change or TrendScore improvement).
• Confluence matters: Treat any single block as informational. Trade decisions should rely on multiple aligned signals + risk plan.
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11) Limitations & what this script does not do
• It does not mark institutional order-blocks, fair-value gaps, or full Elliott counts—only simplified contextual proxies.
• Probabilities are heuristic (feature-weighted), not calibrated win-rate forecasts.
• Repaints? Pivot functions confirm after wavePeriod bars; probabilities are computed on the last bar for the table. The EMA 15m check uses security() with default settings (no special bar merge tricks)—be mindful when mixing timeframes.
• Backtest results (if you wrap this into a strategy) will depend heavily on your entry/exit rules and risk controls.
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12) Quick checklist before using live
1. Confirm trend regime (TrendScore row + STATUS).
2. Check MACD/RSI/Stoch alignment.
3. Look at Relative Volume and VWAP location.
4. Confirm EMA(9/20) 15m bias agrees with your plan.
5. Ensure overall probability is supportive (>60% for trend plays, for example).
6. Size the trade with pre-defined stop, target, and max risk rules.
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13) Glossary (fast refresher)
• RSI: momentum oscillator; overbought/oversold zones.
• MACD: trend-momentum, line/Signal cross and histogram slope.
• Stochastic: momentum vs. recent range; %K/%D cross.
• VWAP: volume-weighted mean price; intraday fair value anchor.
• EMA: exponential MA; faster response than SMA.
• Linear Regression Slope: directional drift estimate.
• Relative Volume: current volume vs. average—conviction proxy.
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14) aiTrendview Disclaimer
This indicator and its outputs are intended solely for education and research. They do not constitute financial, investment, or trading advice. Markets involve substantial risk, including the risk of loss. Past performance and on-chart probabilities are not guarantees of future results. You are responsible for your own decisions, position sizing, and risk management. aiTrendview, its contributors, and affiliates are not liable for any losses incurred from the use of this script or the information derived from it. Always validate signals with your own analysis and consult a licensed financial professional if needed.
Frozen Bias Zones – Sentiment Lock-insOverview
The Frozen Bias Zones indicator visualizes market sentiment lock-ins using a combination of RSI, MACD, and OBV. It creates "bias zones" that indicate whether the market is in a sustained bullish or bearish phase. These zones are then highlighted on the chart, helping traders spot when the market is locked in a bias. The script also detects breakout events from these zones and marks them with clear labels for easier decision-making.
Features
Multi-Indicator Sentiment Analysis: Combines RSI, MACD, and OBV to detect synchronized bullish or bearish sentiment.
Frozen Bias Zones: Identifies and visually represents zones where the market has remained in a particular sentiment (bullish or bearish) for a defined period.
Breakout Alerts: Displays labels to indicate when the price breaks out of the established bias zone.
Customizable Inputs: Adjust the zone duration, RSI, MACD, and breakout label visibility.
Input Parameters
Bias Duration (biasLength)
The minimum number of candles the market must stay in a specific sentiment to consider it a "Frozen Bias Zone".
Default: 5 candles.
RSI Period (rsiPeriod)
Period for the Relative Strength Index (RSI) calculation.
Default: 14 periods.
MACD Settings
MACD Fast (macdFast): The fast-moving average period for the MACD calculation.
Default: 12.
MACD Slow (macdSlow): The slow-moving average period for the MACD calculation.
Default: 26.
MACD Signal (macdSig): The signal line period for MACD.
Default: 9.
Show Break Label (showBreakLabel)
Toggle to show labels when the price breaks out of the bias zone.
Default: True (shows label).
Bias Zone Colors
Bullish Bias Color (bullColor): The color for bullish zones (light green).
Bearish Bias Color (bearColor): The color for bearish zones (light red).
How It Works
This indicator analyzes three key market metrics to determine whether the market is in a bullish or bearish phase:
RSI (Relative Strength Index)
Measures the speed and change of price movements. RSI > 50 indicates a bullish phase, while RSI < 50 indicates a bearish phase.
MACD (Moving Average Convergence Divergence)
Measures the relationship between two moving averages of the price. A positive MACD histogram indicates bullish momentum, while a negative histogram indicates bearish momentum.
OBV (On-Balance Volume)
Uses volume flow to determine if a trend is likely to continue. A rising OBV indicates bullish accumulation, while a falling OBV indicates bearish distribution.
Bias Zone Detection
The market sentiment is considered bullish if all three indicators (RSI, MACD, and OBV) are bullish, and bearish if all three indicators are bearish.
Bullish Zone: A zone is created when the market sentiment remains bullish for the duration of the specified biasLength.
Bearish Zone: A zone is created when the market sentiment remains bearish for the duration of the specified biasLength.
These bias zones are visually represented on the chart as colored boxes (green for bullish, red for bearish).
Breakout Detection
The script automatically detects when the market exits a bias zone. If the price moves outside the bounds of the established zone (either up or down), the script will display one of the following labels:
Bias Break (Up): Indicates that the price has broken upwards out of the zone (with a green label).
Bias Break (Down): Indicates that the price has broken downwards out of the zone (with a red label).
These labels help traders easily identify potential breakout points.
Example Use Case
Bullish Market Conditions: If the RSI is above 50, the MACD histogram is positive, and OBV is increasing, the script will highlight a green bias zone. Traders can watch for potential bullish breakouts or trend continuation after the zone ends.
Bearish Market Conditions: If the RSI is below 50, the MACD histogram is negative, and OBV is decreasing, the script will highlight a red bias zone. Traders can look for potential bearish breakouts when the zone ends.
Conclusion
The Frozen Bias Zones indicator is a powerful tool for traders looking to visualize prolonged market sentiment, whether bullish or bearish. By combining RSI, MACD, and OBV, it helps traders spot when the market is "locked in" to a bias. The breakout labels make it easier to take action when the price moves outside of the established zone, potentially signaling the start of a new trend.
Instructions
To use this script:
Add the Frozen Bias Zones indicator to your TradingView chart.
Adjust the input parameters to suit your trading strategy.
Observe the colored bias zones on your chart, along with breakout labels, to make informed decisions on trend continuation or reversal.
Multi-Divergence Buy/Sell IndicatorThe "Multi-Divergence Buy/Sell Indicator" is a technical analysis tool that combines multiple divergence signals from different indicators to identify potential buy and sell opportunities in the market. Here's a breakdown of how the indicator works and how to use it:
Input Parameters:
RSI Length: Specifies the length of the RSI (Relative Strength Index) calculation.
MACD Short Length: Specifies the short-term length for the MACD (Moving Average Convergence Divergence) calculation.
MACD Long Length: Specifies the long-term length for the MACD calculation.
MACD Signal Smoothing: Specifies the smoothing length for the MACD signal line calculation.
Stochastic Length: Specifies the length of the Stochastic oscillator calculation.
Stochastic Overbought Level: Defines the overbought level for the Stochastic oscillator.
Stochastic Oversold Level: Defines the oversold level for the Stochastic oscillator.
Calculation of Indicators:
RSI: Calculates the RSI based on the specified RSI Length.
MACD: Calculates the MACD line, signal line, and histogram based on the specified MACD parameters.
Stochastic: Calculates the Stochastic oscillator based on the specified Stochastic parameters.
Divergence Detection:
RSI Divergence: Identifies a bullish divergence when the RSI crosses above its 14-period simple moving average (SMA).
MACD Divergence: Identifies a bullish divergence when the MACD line crosses above the signal line.
Stochastic Divergence: Identifies a bullish divergence when the Stochastic crosses above its 14-period SMA.
Buy and Sell Conditions:
Buy Condition: Triggers a buy signal when all three divergences (RSI, MACD, and Stochastic) occur simultaneously.
Sell Condition: Triggers a sell signal when both RSI and MACD divergences occur, but Stochastic divergence does not occur.
Plotting Buy/Sell Signals:
The indicator plots green "Buy" labels below the price bars when the buy condition is met.
It plots red "Sell" labels above the price bars when the sell condition is met.
Usage:
The indicator can be used on any timeframe and for any trading instrument.
Look for areas where all three divergences (RSI, MACD, and Stochastic) align to generate stronger buy and sell signals.
Consider additional technical analysis and risk management strategies to validate the signals and manage your trades effectively.
Remember, no indicator guarantees profitable trades, so it's essential to use this indicator in conjunction with other tools and perform thorough analysis before making trading decisions.
Feel free to ask any questions
SignalWatcherThis script provides real-time monitoring of multiple technical indicators and generates visual alerts and configurable alarms:
Inputs & Mini-GUI
MACD Settings: Activation, fast, slow and signal line lengths.
RSI Settings: Activation, period length, overbought and oversold thresholds.
ADX Settings: Activation, period length, smoothing and trend strength thresholds.
Volume Settings: Activation, length of the volume MA, factor for detecting volume peaks.
Global Alert: A single composite alert for all signals.
Plot Settings: Activation and deactivation of the plot displays for RSI, MACD (lines) and ADX. Color and width selection for each line.
Display Table: Activation of the status table.
Calculations
MACD: Generates macdLine and signalLine, detects crossovers (bullish) and crossunders (bearish).
RSI: Calculates rsi_val, compares with rsi_ob and rsi_os to determine overbought/oversold.
ADX: Uses ta.dmi() to determine adx_val and checks against adx_thresh for trend strength.
Volume Spike: Exceptional trading activity detected by moving average (vol_ma) and factor (vol_factor).
Alert conditions
Six individual alertcondition() calls: MACD ↑/↓, RSI Overbought/Oversold, ADX Strong Trend, Volume Spike.
Optional composite alert (enable_global): A single notification when one of the indicator signals strikes.
Visual overlays
Alarm overlay (bottom right): Red table with text lines for currently triggered signals.
Status Table (bottom left): Overview of all indicators with current status (On/Off, Values, Thresholds).
Plots in the chart
RSI, MACD Line & Signal Line, ADX: Are displayed as lines if activated in the GUI; configurable colors & line thicknesses.
MA RSI MACD Signal SuiteThis Pine Script™ is designed for use in Trading View and generates trading signals based on moving average (MA) crossovers, RSI (Relative Strength Index) signals, and MACD (Moving Average Convergence Divergence) indicators. It provides visual markers on the chart and can be configured to suit various trading strategies.
1. Indicator Overview
The indicator includes signals for:
Moving Averages (MA): It tracks crossovers between different types of moving averages.
RSI: Signals based on RSI crossing certain levels or its signal line.
MACD: Buy and sell signals generated by MACD crossovers.
2. Inputs and Customization
Moving Averages (MAs):
You can customize up to 6 moving averages with different types, lengths, and colors.
MA Type: Choose from different types of moving averages:
SMA (Simple Moving Average)
EMA (Exponential Moving Average)
HMA (Hull Moving Average)
SMMA (RMA) (Smoothed Moving Average)
WMA (Weighted Moving Average)
VWMA (Volume Weighted Moving Average)
T3, DEMA, TEMA
Source: Select the price to base the MA on (e.g., close, open, high, low).
Length: Define the number of periods for each moving average.
Examples:
MA1: Exponential Moving Average (EMA) with a period of 9
MA2: Exponential Moving Average (EMA) with a period of 21
RSI Settings:
RSI is calculated based on a user-defined period and is used to identify potential overbought or oversold conditions.
RSI Length: Lookback period for RSI (default 14).
Overbought Level: Defines the overbought threshold for RSI (default 70).
Oversold Level: Defines the oversold threshold for RSI (default 30).
You can also adjust the smoothing for the RSI signal line and customize when to trigger buy and sell signals based on the RSI crossing these levels.
MACD Settings:
MACD is used for identifying changes in momentum and trends.
Fast Length: The period for the fast moving average (default 12).
Slow Length: The period for the slow moving average (default 26).
Signal Length: The period for the signal line (default 9).
Smoothing Method: Choose between SMA or EMA for both the MACD and the signal line.
3. Signal Logic
Moving Average (MA) Crossover Signals:
Crossover: A bullish signal is generated when a fast MA crosses above a slow MA.
Crossunder: A bearish signal is generated when a fast MA crosses below a slow MA.
The crossovers are plotted with distinct colors, and the chart will display markers for these crossover events.
RSI Signals:
Oversold Crossover: A bullish signal when RSI crosses over its signal line below the oversold level (30).
Overbought Crossunder: A bearish signal when RSI crosses under its signal line above the overbought level (70).
RSI signals are divided into:
Aggressive (Early) Entries: Signals when RSI is crossing the oversold/overbought levels.
Conservative Entries: Signals when RSI confirms a reversal after crossing these levels.
MACD Signals:
Buy Signal: Generated when the MACD line crosses above the signal line (bullish crossover).
Sell Signal: Generated when the MACD line crosses below the signal line (bearish crossunder).
Additionally, the MACD histogram is used to identify momentum shifts:
Rising to Falling Histogram: Alerts when the MACD histogram switches from rising to falling.
Falling to Rising Histogram: Alerts when the MACD histogram switches from falling to rising.
4. Visuals and Alerts
Plotting:
The script plots the following on the price chart:
Moving Averages (MA): The selected MAs are plotted as lines.
Buy/Sell Shapes: Triangular markers are displayed for buy and sell signals generated by RSI and MACD.
Crossover and Crossunder Markers: Crosses are shown when two MAs crossover or crossunder.
Alerts:
Alerts can be configured based on the following conditions:
RSI Signals: Alerts for oversold or overbought crossover and crossunder events.
MACD Signals: Alerts for MACD line crossovers or momentum shifts in the MACD histogram.
Alerts are triggered when specific conditions are met, such as:
RSI crosses over or under the oversold/overbought levels.
MACD crosses the signal line.
Changes in the MACD histogram.
5. Example Usage
1. Trend Reversal Setup:
Buy Signal: Use the RSI oversold crossover and MACD bullish crossover to identify potential entry points in a downtrend.
Sell Signal: Use the RSI overbought crossunder and MACD bearish crossunder to identify potential exit points or short entries in an uptrend.
2. Momentum Strategy:
Combine MACD and RSI signals to identify the strength of a trend. Use MACD histogram analysis and RSI levels for confirmation.
3. Moving Average Crossover Strategy:
Focus on specific MA crossovers, such as the 9-period EMA crossing above the 21-period EMA, for buy signals. When a longer-term MA (e.g., 50-period) crosses a shorter-term MA, it may indicate a strong trend change.
6. Alerts Conditions
The script includes several alert conditions, which can be triggered and customized based on the user’s preferences:
RSI Oversold Crossover: Alerts when RSI crosses over the signal line below the oversold level (30).
RSI Overbought Crossunder: Alerts when RSI crosses under the signal line above the overbought level (70).
MACD Buy/Sell Crossover: Alerts when the MACD line crosses the signal line for a buy or sell signal.
7. Conclusion
This script is highly customizable and can be adjusted to suit different trading strategies. By combining MAs, RSI, and MACD, traders can gain multiple perspectives on the market, enhancing their ability to identify potential buy and sell opportunities.
PT2_Stochastic RSI / MACDThis indicator is designed for use with Profit Trailer version 2 and plots the values of RSI, Stochastic, StochasticRSI and MACD.
Due to the decimal values that they all produce, There are some important things to understand before using this indicator.
In PT2, RSI and Stochastic require values between 0 and 100, but StochasticRSI requires values between 0.00 and 1.00. Because of this the following needs to be understood.
RSI:
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The buy and sell values and limits are inputted as values between 0 and 100, but they get divided by 100 so to map alongside StochasticRSI on the indicator scale.
In other words an RSI buy value inputted as 30 will display as 0.3, but in your PT2 settings you would still input 30.
Stochastic:
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Stochastic and StochasticRSI share common buy and sell value input fields for this indicator (so you can't use BOTH Stochastic and StochasticRSI at the same time, in the same indicator).
The buy and sell values and limits, need to be written as decimal values between 0.00 and 1.00 even though within the PT2 settings, Stochastic is inputted as values between 0 and 100.
So when translating values from this indicator to your PT2 settings, a Stochastic Buy Value of 0.3 in this indicator will be written in your PT2 settings as 30. Just like RSI.
StochasticRSI:
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PT2 uses StochasticRSI values between 0.00 and 1.00 (as mentioned above). It is because of this, to enable RSI and Stochastic to display together, everything is displayed using the decimal notation of between 0.00 and 1.00.
MACD:
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The MACD is completely different and produces a decimal value down to 9 decimal places as used in PT2, making it not compatible with the RSI and Stochastic values.
So at the top of the settings of this indicator, you need to choose which indicator you wish to view at a time (Stochastic-RSI or MACD, not both).
Also, Trading view doesn't handle negative decimals down to 9 places very well, so the Buy/Sell Value/Limit numbers you enter here will be divided by 100,000,000.
This means that if you enter a MACD Sell Value of -250 in this indicator, it gets translated to -0.000000250. This would be the decimal value you would put in your PT2 settings.
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I hope this indicator helps you all out, feel free to show any appreciation you have in what ever way you feel you can.
// Created 2018 - by @Squiggles#8806
// LTC Tip Jar: LX4bUBdjiRPsagUbZoAczSGgDC4YqTJL7w
======================================================================================================================================================
Parabolic SAR MARSI, Adaptive MACD [Loxx]Parabolic SAR MARSI, Adaptive MACD is a trend following indicator that combines MACD, Parabolic SAR, and RSI into a signal indicator.
What is Parabolic SAR?
The parabolic stop and reverse, more commonly known as the "Parabolic SAR," or "PSAR" is a trend-following indicator developed by J. Welles Wilder. It is displayed as a single parabolic line (or dots) underneath the price bars in an uptrend, and above the price bars in a downtrend.
What is MACD?
Moving average convergence divergence (MACD) is a trend-following momentum indicator that shows the relationship between two moving averages of a security’s price. The MACD is calculated by subtracting the 26-period exponential moving average (EMA) from the 12-period EMA.
What is RSI?
The relative strength index (RSI) is a momentum indicator used in technical analysis that measures the magnitude of recent price changes to evaluate overbought or oversold conditions in the price of a stock or other asset. The RSI is displayed as an oscillator (a line graph that moves between two extremes) and can have a reading from 0 to 100. The indicator was originally developed by J. Welles Wilder Jr. and introduced in his seminal 1978 book, “New Concepts in Technical Trading Systems.”
How to combine PSAR, MACD, and RSI into one:
1. Create a new type of moving average called MARSI. MARSI is like a typical moving average but it flexes to RSI sensitivities
2. Calculate MACD for the MARSI of High/Low values
3. Calculate the midpoint MACD between the High/Low MACDs created in step 2
4. Create a final MACD by calculating the MARSI for the midpoint MACD created in step 3
5. Finally, Inject these values into a customized Parabolic SAR function
Results:
-A unique spin on three different indicators that identifies trends of both RSI, MACD, and price of the underlying asset
-Entry, exit, and reversal points in price, RSI, and MACD
-A MACD that adapts to RSI
What's Included?
-Customization of all variables
-A variety of moving averages to smooth the signal line
-Customizable colors
-Alerts for MACD zero-line and signal crosses, and PSAR trend direction changes
Things to know:
-The histogram in this indicator is NOT the normal histogram found in the classic MACD indicator. The histogram here is a histogram of MACD itself. The classic histogram has questionable utility but the histogram in this indicator is very important and useful
-Parabolic SAR is calculated on the MARSI of High/Low values
Future releases:
-Divergences
-Regular, continuation, and exit signals
Happy trading!
Multifactor Buy/Sell Strategy V2 | RSI, MACD, ATR, EMA, Boll.BITGET:1INCHUSDT
This Pine Script code for TradingView is a multifactor Buy/Sell indicator that combines several technical factors to generate trading signals based on trend, volatility, and volume conditions. Here’s a breakdown of the main components and functionality:
Indicator Name
- Multifactor Buy/Sell Strategy V2 — an overlay indicator applied directly on the price chart.
### Input Parameters
The script includes multiple customizable parameters:
- RSI, EMA, MACD parameters — for setting periods and signals of MACD and RSI.
- ATR and Bollinger Bands — used for volatility analysis and level determination.
- Minimum Volatility Threshold — sets a minimum Bollinger Band width threshold for determining high volatility.
Core Indicators
1. RSI — calculated to identify oversold (below 30) and overbought (above 70) conditions.
2. EMA and MACD — calculates exponential moving averages and MACD histogram to determine trend direction.
3. ATR and Bollinger Bands — used to assess current volatility and establish dynamic upper and lower bands.
Volatility and Volume Analysis
- Determines the current ATR level and Bollinger Band width to evaluate high volatility.
- Calculates the volume moving average to track periods of increased volume during high volatility.
Trend Analysis
The script uses the difference between fast and slow EMAs to define strong trends:
- Uptrend — when the fast EMA is above the slow EMA, the price is above the fast EMA, and the trend is strong.
- Downtrend — when the fast EMA is below the slow EMA, the price is below the fast EMA, and the trend is strong.
Momentum Filter
- Based on the price change over the last three bars and compared against the minimum volatility threshold to identify strong momentum.
Buy and Sell Signal Generation
- Buy Signal: Uptrend with RSI oversold, positive MACD histogram, high volatility and volume, strong momentum, and sufficient Bollinger Band width.
- Sell Signal: Downtrend with RSI overbought, negative MACD histogram, high volatility and volume, strong momentum, and sufficient Bollinger Band width.
Visualization
- Buy and sell signals are displayed as green and red triangles on the chart.
- Plots for fast and slow EMAs, upper and lower bands, and Bollinger Bands.
Alerts
The script includes alert conditions for buy and sell signals, allowing notifications to be sent via email or mobile app.
Information Panel
A small table on the chart displays current volatility dataThis Pine Script code for TradingView is a multifactor Buy/Sell indicator that combines several technical factors to generate trading signals based on trend, volatility, and volume conditions. Here’s a breakdown of the main components and functionality:
Indicator Name
- Multifactor Buy/Sell Strategy V2 — an overlay indicator applied directly on the price chart.
Input Parameters
The script includes multiple customizable parameters:
- **RSI, EMA, MACD parameters** — for setting periods and signals of MACD and RSI.
- **ATR and Bollinger Bands** — used for volatility analysis and level determination.
- **Minimum Volatility Threshold** — sets a minimum Bollinger Band width threshold for determining high volatility.
Core Indicators
1. RSI — calculated to identify oversold (below 30) and overbought (above 70) conditions.
2. EMA and MACD — calculates exponential moving averages and MACD histogram to determine trend direction.
3. ATR and Bollinger Bands — used to assess current volatility and establish dynamic upper and lower bands.
Volatility and Volume Analysis
- Determines the current ATR level and Bollinger Band width to evaluate high volatility.
- Calculates the volume moving average to track periods of increased volume during high volatility.
Trend Analysis
The script uses the difference between fast and slow EMAs to define strong trends:
- Uptrend — when the fast EMA is above the slow EMA, the price is above the fast EMA, and the trend is strong.
- Downtrend — when the fast EMA is below the slow EMA, the price is below the fast EMA, and the trend is strong.
Momentum Filter
- Based on the price change over the last three bars and compared against the minimum volatility threshold to identify strong momentum.
Buy and Sell Signal Generation
- Buy Signal: Uptrend with RSI oversold, positive MACD histogram, high volatility and volume, strong momentum, and sufficient Bollinger Band width.
- Sell Signal: Downtrend with RSI overbought, negative MACD histogram, high volatility and volume, strong momentum, and sufficient Bollinger Band width.
Visualization
- Buy and sell signals are displayed as green and red triangles on the chart.
- Plots for fast and slow EMAs, upper and lower bands, and Bollinger Bands.
Alerts
The script includes alert conditions for buy and sell signals, allowing notifications to be sent via email or mobile app.
Information Panel
A small table on the chart displays current volatility
- Volatility Status — indicates high or low volatility.
- Bollinger Band Width — current width as a percentage.
- ATR Ratio — ratio of current ATR to long-term average ATR.
This script is suitable for trading in high-volatility conditions, combining multiple filters and factors to generate precise buy and sell signals.
NovaGrid [Mr_Rakun]🔹 Purpose of the Strategy
NovaGrid is a grid-based DCA (Dollar Cost Averaging) strategy that opens positions at price intervals and manages each one with individual take-profit levels. It is designed to generate entries based on selected technical indicators and allows for structured accumulation within a customizable price range and entry conditions.
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🧩 Core Features
• Dynamic Grid System: Opens entries at percentage-based intervals up to a specified limit.
• Indicator-Based Entry Conditions: Choose from RSI, MFI, Stochastic RSI, MACD, VWMA, EMA, SuperTrend, or unconditional entries.
• TP & SL Management: Each position has a separate take-profit level. Optional stop-loss and post-stop shutdown are supported.
• Backtest Range Support: Users can define custom start and end dates for strategy testing.
• Advanced Visuals: Clearly marked entry levels, TP lines, grid projections, and average price lines with labels.
• Info Table Interface: Displays live trade stats such as active grids, total trades, max used grids, and test window.
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🔧 Input Parameters
📌 Grid Settings
• Grid Count (grid): Maximum number of grid entries.
• Percentage Gap (perc): The percentage drop required between each grid entry.
• Take Profit % (tp): The profit percentage used for individual TP levels.
📌 Price Boundaries
• Top Price: No trades are opened above this level. Set to 0 to disable.
• Bottom Price: No trades are opened below this level. Set to 0 to disable.
📌 Stop Loss
• SL %: Places a stop-loss based on the last entry’s price.
• Stop After SL: Stops the strategy from opening new trades once SL is triggered (sltetik flag).
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🧮 Entry Conditions
Select an indicator from the dropdown to determine when the strategy starts building the grid:
• RSI: Entry when RSI crosses below a defined level.
• MFI: Entry when MFI crosses above a defined level.
• Stochastic RSI: Entry when %K crosses under %D and below the threshold.
• MACD: Entry when MACD line crosses above the Signal line.
• VWMA / EMA: Entry when the price is above the moving average.
• SuperTrend: Entry when SuperTrend gives a bullish signal.
• Uncondition: Always enter without checking indicators.
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📈 Position Management
• Entries are placed as limit orders at calculated grid prices.
• TP lines and labels are created per position.
• New entries are opened until the grid limit is reached.
• Positions are exited individually upon reaching TP.
• A stop-loss event closes all open positions. Optional permanent disable.
⸻
⸻
🔧 Input Parameters
📌 Grid Settings
• Grid Count (grid): Maximum number of grid entries.
• Percentage Gap (perc): The percentage drop required between each grid entry.
• Take Profit % (tp): The profit percentage used for individual TP levels.
📌 Price Boundaries
• Top Price: No trades are opened above this level. Set to 0 to disable.
• Bottom Price: No trades are opened below this level. Set to 0 to disable.
📌 Stop Loss
• SL %: Places a stop-loss based on the last entry’s price.
• Stop After SL: Stops the strategy from opening new trades once SL is triggered
⸻
🧮 Entry Conditions
Select an indicator from the dropdown to determine when the strategy starts building the grid:
• RSI: Entry when RSI crosses below a defined level.
• MFI: Entry when MFI crosses above a defined level.
• Stochastic RSI: Entry when %K crosses under %D and below the threshold.
• MACD: Entry when MACD line crosses above the Signal line.
• VWMA / EMA: Entry when the price is above the moving average.
• SuperTrend: Entry when SuperTrend gives a bullish signal.
• Uncondition: Always enter without checking indicators.
⸻
📈 Position Management
• Entries are placed as limit orders at calculated grid prices.
• TP lines and labels are created per position.
• New entries are opened until the grid limit is reached.
• Positions are exited individually upon reaching TP.
• A stop-loss event closes all open positions. Optional permanent disable.
⸻
📊 Info Table
A customizable table in the corner of the chart displays:
• Strategy name and version
• Total configured grids
• Current active grids
• Max used grids
• Total closed trades
• Backtest time range (start and end)
TTC EMA Scalping Machine with RSI Filter and MACDTTC EMA Scalping Machine with RSI Filter and MACD
TTC EMA Scalping Machine with RSI Filter and MACD is a multi-layered technical analysis tool designed for traders looking to scalp the markets with a combination of trend-following and momentum-based indicators. This strategy leverages Exponential Moving Averages (EMAs) , Relative Strength Index (RSI) , MACD , and Volume Analysis to help traders identify high-probability entry points for short and long trades. The indicator can be used in multiple market conditions and is suited for both beginners and experienced traders looking for clear entry signals.
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Key Features :
1. EMA-Based Trend Filtering :
- The indicator uses four Exponential Moving Averages (EMAs) with different periods:
- EMA 10 (Short-Term) : The fastest-moving average for detecting quick price movements.
- EMA 20 (Medium-Term) : A central trendline for market momentum.
- EMA 30 (Long-Term) : To observe broader market trends.
- EMA 50 (Longest-Term) : To identify the overall market direction.
- These EMAs are plotted on the chart and used to create EMA bands , visually displaying potential support and resistance levels. Price action inside these bands helps identify scalping opportunities.
2. RSI Filter :
- RSI (Relative Strength Index) is used to gauge overbought and oversold conditions in the market:
- Overbought condition (RSI > 70) : The market may be overextended, signaling the possibility of a short.
- Oversold condition (RSI < 30) : The market may be undervalued, signaling the possibility of a long.
- The RSI filter ensures that trades are not taken when the market is overextended, offering a more conservative approach to trade entries.
3. MACD Momentum Analysis :
- The MACD (Moving Average Convergence Divergence) indicator is included to confirm the trend and momentum direction:
- Long Condition : The MACD line crosses above the signal line, confirming a bullish momentum.
- Short Condition : The MACD line crosses below the signal line, confirming a bearish momentum.
- This serves as an additional filter to verify if the market momentum aligns with the long or short entry criteria.
4. Long Entry (Buy Signal) :
- A long entry signal is triggered when the following conditions are met:
- The price is above EMA 20 (indicating an overall bullish market).
- The price is within the green EMA band (EMA 10 and EMA 20), suggesting short-term support.
- The RSI is below 70 (indicating the market is not overbought).
- The MACD line is above the signal line , showing bullish momentum.
- These conditions combined suggest an ideal environment for entering a long position.
5. Short Entry (Sell Signal) :
- A short entry signal is triggered when the following conditions are met:
- The price is below EMA 20 (indicating an overall bearish market).
- The price is within the green EMA band (EMA 20 and EMA 30), suggesting short-term resistance.
- The RSI is above 30 (indicating the market is not oversold).
- The MACD line is below the signal line , showing bearish momentum.
- These conditions combined suggest an ideal environment for entering a short position.
6. Signal Alerts :
- Long Alerts : Users can set alerts to notify them when a long condition is met. These alerts are triggered when all the criteria for a long entry are satisfied.
- Short Alerts : Similarly, users can set alerts for short signals, notifying them when all the conditions for a short entry are satisfied.
7. EMA Bands :
- The EMA bands are visually represented with colored fills between the EMAs, providing a visual aid to recognize potential trading zones. These zones can serve as a reference for traders to make quick decisions regarding entries and exits.
8. Volume Filter :
- The indicator also includes a volume filter , which compares the current volume to its 20-period simple moving average. Higher volumes provide confirmation of price movement, which can indicate stronger potential for the trade.
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How It Works :
- Long Trades : The indicator suggests a long position when the price is above the EMA 20, within the green EMA band, the RSI is not overbought, and MACD confirms bullish momentum (MACD line above the signal line).
- Short Trades : The indicator suggests a short position when the price is below the EMA 20, within the green EMA band, the RSI is not oversold, and MACD confirms bearish momentum (MACD line below the signal line).
- Volume Confirmation : The indicator uses a volume-based filter to ensure the trade is backed by sufficient market participation.
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Usage :
- Best for Scalping : This strategy is designed for short-term trades ( scalping ) and can be applied to any time frame, though it works best on intraday charts, such as 5-minute or 15-minute charts.
- Ideal for Trend-Following : With the use of EMAs and MACD, the strategy is best suited for markets that exhibit clear trends. It helps to avoid whipsaw trades and focuses on capturing medium-term trends.
- Risk Management : By using RSI, MACD, and volume analysis together, this strategy reduces the likelihood of entering a trade in an overextended market, which helps with risk management.
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Alerts and Signals :
- Long Signals : When all conditions are met for a long trade, a green label appears below the price bar, indicating a potential buy opportunity. An alert is also generated, notifying the user.
- Short Signals : When all conditions are met for a short trade, a red label appears above the price bar, indicating a potential sell opportunity. An alert is also generated, notifying the user.
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This combination of EMA , RSI , MACD , and volume-based filters creates a balanced approach to scalping, ensuring that traders receive clear, actionable entry signals with trend confirmation, while avoiding overbought and oversold conditions that may lead to false signals. The indicator is designed to help traders confidently identify high-probability trades while maintaining simplicity and clarity in its setup.
Advanced Optimized VSA - 15 MinThis script is written in Pine Script and is designed to be run on the TradingView trading platform. It is an advanced technical analysis indicator that utilizes various methods and indicators to generate trading signals based on a Volume Spread Analysis (VSA) approach.
Here's a detailed breakdown of its functionalities:
### Customizable Parameters:
1. `scoreLabel` and `TDLabel`: Customizable labels for score and trend direction.
2. `labelColorScore` and `labelColorTD`: Colors for the score and trend direction labels.
### Base Indicators and Variables:
1. `spread`: Calculates the difference between the high and low of a candle.
2. `emaVolume`: Exponential moving average of volume over a 21-period range.
3. `rsi14`: Relative Strength Index (RSI) over a 14-period range.
4. `sma200` and `ema50`: Simple moving average over a 200-period range and exponential moving average over a 50-period range, respectively.
5. `volatility`: Calculates the 14-period Average True Range (ATR) to determine volatility.
6. `trendDirection`: Establishes the trend direction based on the SMA200.
### Risk Management:
1. `atrValue`: Calculates the value of the ATR.
2. `stopLoss` and `takeProfit`: Calculates the stop-loss and take-profit levels based on the ATR.
### MACD:
Computes the MACD line, signal line, and histogram.
### Volume Analysis:
1. `weightedVol`: Weighted volume.
2. `forceFactor`: Measures the strength of price movement in relation to volume.
### Support and Resistance:
1. `support` and `resistance`: Calculates support and resistance levels based on the most recent 50 periods.
### Liquidity Check:
1. `isLiquid`: Checks if an asset is sufficiently liquid.
### Score Calculation:
Evaluates various factors such as price position relative to support/resistance levels, RSI, MACD, strength of movement, and volatility to generate a score.
### Criteria for Final Signals:
1. `isBullSpread` and `isBearSpread`: Generates a bullish or bearish signal based on various factors, including the score, trend direction, and liquidity.
### Notifications:
Generates alert conditions for bullish and bearish signals.
### Graphical Elements:
Displays various indicators and signals on the chart, including stop-loss, take-profit, SMA200, EMA50, and support and resistance lines.
### Debugging Labels:
Shows labels on the chart for score and trend direction.
The goal is to provide a comprehensive picture of the current asset, taking into consideration various factors and generating potentially profitable trading signals.
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Questo script è scritto in Pine Script e progettato per essere eseguito sulla piattaforma di trading TradingView. È un indicatore di analisi tecnica avanzata che utilizza diversi metodi e indicatori per generare segnali di trading basati su un approccio Volume Spread Analysis (VSA).
Ecco un riepilogo dettagliato delle funzionalità:
### Parametri personalizzabili:
1. `scoreLabel` e `TDLabel`: Etichette personalizzabili per i punteggi e la direzione del trend.
2. `labelColorScore` e `labelColorTD`: Colori delle etichette per punteggio e direzione del trend.
### Indicatori e variabili base:
1. `spread`: Calcola la differenza tra il massimo e il minimo di una candela.
2. `emaVolume`: Media mobile esponenziale del volume con un periodo di 21.
3. `rsi14`: RSI (Relative Strength Index) con un periodo di 14.
4. `sma200` e `ema50`: Media mobile semplice con un periodo di 200 e media mobile esponenziale con un periodo di 50, rispettivamente.
5. `volatility`: Calcola l'Average True Range (ATR) con un periodo di 14 per determinare la volatilità.
6. `trendDirection`: Stabilisce la direzione del trend basata sulla SMA200.
### Gestione del rischio:
1. `atrValue`: Calcola il valore dell'ATR.
2. `stopLoss` e `takeProfit`: Calcola i livelli di stop-loss e take-profit basati sull'ATR.
### MACD:
Calcola le linee MACD, segnale e l'istogramma.
### Analisi del volume:
1. `weightedVol`: Volume ponderato.
2. `forceFactor`: Misura la forza del movimento del prezzo in relazione al volume.
### Supporto e resistenza:
1. `support` e `resistance`: Calcola i livelli di supporto e resistenza basati sui 50 periodi più recenti.
### Verifica della liquidità:
1. `isLiquid`: Verifica se un asset è sufficientemente liquido.
### Calcolo del punteggio:
Valuta diversi fattori come la posizione del prezzo rispetto ai livelli di supporto/resistenza, RSI, MACD, forza del movimento e volatilità per generare un punteggio.
### Criteri per i segnali finali:
1. `isBullSpread` e `isBearSpread`: Genera un segnale rialzista o ribassista basato su vari fattori, incluso il punteggio, la direzione del trend e la liquidità.
### Notifiche:
Genera condizioni di allarme per segnali rialzisti e ribassisti.
### Elementi grafici:
Visualizza diversi indicatori e segnali sul grafico, inclusi stop-loss, take-profit, SMA200, EMA50, e linee di supporto e resistenza.
### Etichette di debug:
Mostra etichette sul grafico per il punteggio e la direzione del trend.
L'obiettivo è fornire un quadro completo dell'asset corrente, prendendo in considerazione diversi fattori e generando segnali di trading potenzialmente profittevoli.
ManipulatorTrade | InfoBarEnglish
With this indicator, you can track the instrument selected in the settings, there is also RSI, MACD, Stochastic. The InfoBar will show you overbought or oversold, as well as the trend in MACD.
You can track crypto dominance: BTC, ETH, USDT.
Also keep an eye on indices and metals.
There is VWAP which shows the average price weighted by volume over a certain period. All settings can be changed.
Українська
За допомогою даного індикатора ви можете відстежувати інструмент вибраний в налаштуваннях, так само є RSI, MACD, Stochastic. InfoBar вам покаже перекупленність або перепроданість, так само тренд в MACD.
Ви можете відстежувати крипто домінацію: BTC, ETH, USDT.
Так само слідкувати за індексами та металами.
Є VWAP, який показує середню ціну, виважену за обсягом за певний період. Усі налаштування можна змінити.
Русский
С помощью данного индикатора вы можете отслеживать инструмент выбранный в настройках, так же есть RSI, MACD, Stochastic. InfoBar вам покажет перекупленностть или перепроданность, так же тренд в MACD.
Вы можете отслеживать крипто доминацию: BTC, ETH, USDT.
Так же следить за индексами и металлами.
Есть VWAP который показывает среднюю цену, взвешенную по объему за определенный период. Все настройки можно изменить.
Multi-indicator Signal Builder [Skyrexio]Overview
Multi-Indicator Signal Builder is a versatile, all-in-one script designed to streamline your trading workflow by combining multiple popular technical indicators under a single roof. It features a single-entry, single-exit logic, intrabar stop-loss/take-profit handling, an optional time filter, a visually accessible condition table, and a built-in statistics label. Traders can choose any combination of 12+ indicators (RSI, Ultimate Oscillator, Bollinger %B, Moving Averages, ADX, Stochastic, MACD, PSAR, MFI, CCI, Heikin Ashi, and a “TV Screener” placeholder) to form entry or exit conditions. This script aims to simplify strategy creation and analysis, making it a powerful toolkit for technical traders.
Indicators Overview
1. RSI (Relative Strength Index)
Measures recent price changes to evaluate overbought or oversold conditions on a 0–100 scale.
2. Ultimate Oscillator (UO)
Uses weighted averages of three different timeframes, aiming to confirm price momentum while avoiding false divergences.
3. Bollinger %B
Expresses price relative to Bollinger Bands, indicating whether price is near the upper band (overbought) or lower band (oversold).
4. Moving Average (MA)
Smooths price data over a specified period. The script supports both SMA and EMA to help identify trend direction and potential crossovers.
5. ADX (Average Directional Index)
Gauges the strength of a trend (0–100). Higher ADX signals stronger momentum, while lower ADX indicates a weaker trend.
6. Stochastic
Compares a closing price to a price range over a given period to identify momentum shifts and potential reversals.
7. MACD (Moving Average Convergence/Divergence)
Tracks the difference between two EMAs plus a signal line, commonly used to spot momentum flips through crossovers.
8. PSAR (Parabolic SAR)
Plots a trailing stop-and-reverse dot that moves with the trend. Often used to signal potential reversals when price crosses PSAR.
9. MFI (Money Flow Index)
Similar to RSI but incorporates volume data. A reading above 80 can suggest overbought conditions, while below 20 may indicate oversold.
10. CCI (Commodity Channel Index)
Identifies cyclical trends or overbought/oversold levels by comparing current price to an average price over a set timeframe.
11. Heikin Ashi
A type of candlestick charting that filters out market noise. The script uses a streak-based approach (multiple consecutive bullish or bearish bars) to gauge mini-trends.
12. TV Screener
A placeholder condition designed to integrate external buy/sell logic (like a TradingView “Buy” or “Sell” rating). Users can override or reference external signals if desired.
Unique Features
1. Multi-Indicator Entry and Exit
You can selectively enable any subset of 12+ classic indicators, each with customizable parameters and conditions. A position opens only if all enabled entry conditions are met, and it closes only when all enabled exit conditions are satisfied, helping reduce false triggers.
2. Single-Entry / Single-Exit with Intrabar SL/TP
The script supports a single position at a time. Once a position is open, it monitors intrabar to see if the price hits your stop-loss or take-profit levels before the bar closes, making results more realistic for fast-moving markets.
3. Time Window Filter
Users may specify a start/end date range during which trades are allowed, making it convenient to focus on specific market cycles for backtesting or live trading.
4. Condition Table and Statistics
A table at the bottom of the chart lists all active entry/exit indicators. Upon each closed trade, an integrated statistics label displays net profit, total trades, win/loss count, average and median PnL, etc.
5. Seamless Alerts and Automation
Configure alerts in TradingView using “Any alert() function call.”
The script sends JSON alert messages you can route to your own webhook.
The indicator can be integrated with Skyrexio alert bots to automate execution on major cryptocurrency exchanges
6. Optional MA/PSAR Plots
For added visual clarity, optionally plot the chosen moving averages or PSAR on the chart to confirm signals without stacking multiple indicators.
Methodology
1. Multi-Indicator Entry Logic
When multiple entry indicators are enabled (e.g., RSI + Stochastic + MACD), the script requires all signals to align before generating an entry. Each indicator can be set for crossovers, crossunders, thresholds (above/below), etc. This “AND” logic aims to filter out low-confidence triggers.
2. Single-Entry Intrabar SL/TP
One Position At a Time: Once an entry signal triggers, a trade opens at the bar’s close.
Intrabar Checks: Stop-loss and take-profit levels (if enabled) are monitored on every tick. If either is reached, the position closes immediately, without waiting for the bar to end.
3. Exit Logic
All Conditions Must Agree: If the trade is still open (SL/TP not triggered), then all enabled exit indicators must confirm a closure before the script exits on the bar’s close.
4. Time Filter
Optional Trading Window: You can activate a date/time range to constrain entries and exits strictly to that interval.
Justification of Methodology
Indicator Confluence: Combining multiple tools (RSI, MACD, etc.) can reduce noise and false signals.
Intrabar SL/TP: Capturing real-time spikes or dips provides a more precise reflection of typical live trading scenarios.
Single-Entry Model: Straightforward for both manual and automated tracking (especially important in bridging to bots).
Custom Date Range: Helps refine backtesting for specific market conditions or to avoid known irregular data periods.
How to Use
1. Add the Script to Your Chart
In TradingView, open Indicators , search for “Multi-indicator Signal Builder”.
Click to add it to your chart.
2. Configure Inputs
Time Filter: Set a start and end date for trades.
Alerts Messages: Input any JSON or text payload needed by your external service or bot.
Entry Conditions: Enable and configure any indicators (e.g., RSI, MACD) for a confluence-based entry.
Close Conditions: Enable exit indicators, along with optional SL (negative %) and TP (positive %) levels.
3. Set Up Alerts
In TradingView, select “Create Alert” → Condition = “Any alert() function call” → choose this script.
Entry Alert: Triggers on the script’s entry signal.
Close Alert: Triggers on the script’s close signal (or if SL/TP is hit).
Skyrexio Alert Bots: You can route these alerts via webhook to Skyrexio alert bots to automate order execution on major crypto exchanges (or any other supported broker).
4. Visual Reference
A condition table at the bottom summarizes active signals.
Statistics Label updates automatically as trades are closed, showing PnL stats and distribution metrics.
Backtesting Guidelines
Symbol/Timeframe: Works on multiple assets and timeframes; always do thorough testing.
Realistic Costs: Adjust commissions and potential slippage to match typical exchange conditions.
Risk Management: If using the built-in stop-loss/take-profit, set percentages that reflect your personal risk tolerance.
Longer Test Horizons: Verify performance across diverse market cycles to gauge reliability.
Example of statistic calculation
Test Period: 2023-01-01 to 2025-12-31
Initial Capital: $1,000
Commission: 0.1%, Slippage ~5 ticks
Trade Count: 468 (varies by strategy conditions)
Win rate: 76% (varies by strategy conditions)
Net Profit: +96.17% (varies by strategy conditions)
Disclaimer
This indicator is provided strictly for informational and educational purposes .
It does not constitute financial or trading advice.
Past performance never guarantees future results.
Always test thoroughly in demo environments before using real capital.
Enjoy exploring the Multi-Indicator Signal Builder! Experiment with different indicator combinations and adjust parameters to align with your trading preferences, whether you trade manually or link your alerts to external automation services. Happy trading and stay safe!
Divergence Detector [TradingFinder] RSI + MACD + AO Oscillator 🔵 Introduction
🟣 Understanding Divergence
As mentioned, divergence occurs in technical analysis when a stock's price behaves contrary to indicators on the price chart. Divergence can signify either a reversal of the stock's trend or a continuation of the previous trend correction.
Divergences can act as reversal patterns or continuation patterns. Moreover, divergences can be utilized to identify potential support and resistance levels.
For instance, when an indicator is trending upwards and positive, but the price is declining and trending downwards, divergence occurs. Divergence in a stock indicates trader indecision in buying and selling and warns traders to reconsider their decisions regarding buying or holding the stock.
Divergence aids analysts in identifying critical price points. In indicator divergences, it serves as a potent signal in the realm of technical analysis.
🟣 Types of Divergence
1.Regular Divergence
o Positive Regular Divergence (RD+)
o Negative Regular Divergence (RD-)
2.Hidden Divergence
o Positive Hidden Divergence (HD+)
o Negative Hidden Divergence (HD-)
3.Time Divergence
Key Note : This indicator is specifically designed to identify "Regular Divergence" only. Therefore, the following explanation pertains to this type of divergence.
🔵 Regular Divergence/Convergence
Regular Divergence(Convergence) occurs due to conflicting behavior between the indicator and the price chart, typically at the end of a trend. Recognizing Regular Divergence suggests an anticipation of a trend reversal or a pattern resembling a reversal.
🟣 Positive Regular Divergence (RD+)
In contrast to negative divergence, positive Regular Divergence occurs at the end of a downtrend and between two price lows. It manifests when the price forms a new low on the price chart, but the indicator fails to recognize it.
Positive Regular Divergence indicates strong buying pressure and weak selling pressure. Following the identification of positive divergence on the chart, one can anticipate a price increase for the examined stock.
🟣 Negative Regular Divergence (RD-)
This type of Regular Divergence emerges between two price highs during an uptrend. A new high is formed on the price chart, but the indicator fails to acknowledge it. This scenario indicates negative Regular Divergence.
The likelihood of a subsequent market downturn is high. Negative divergence signifies strong selling pressure and weak buying pressure, suggesting an unfavorable future for the stock.
🔵 How to use
By utilizing the "Fractal Period" input, you can specify your desired periods for identifying divergences.
Additionally, through the "Divergence Detect Method" feature, you can choose which oscillators (MACD, RSI, or AO) to base divergence identification on.
Divergence in MACD Oscillator :
Divergence in the MACD indicator occurs when the price chart and the MACD line form a noticeable opposing pattern, meaning the price moves contrary to the MACD line. In this scenario, one expects a reversal in price direction.
Divergence in RSI Oscillator :
If divergence occurs during a downtrend on the price chart (two consecutive lows, with the second low being lower) and on the corresponding RSI point (two consecutive lows, with the second low being higher), it signifies positive Regular Divergence and implies a buying signal.
Conversely, if divergence occurs during an uptrend on the price chart (two consecutive highs, with the second high being higher) and on the corresponding RSI point (two consecutive highs, with the second high being lower), it indicates negative Regular Divergence, signaling a selling opportunity.
Divergence in AO Oscillator :
The AO indicator calculates histograms similar to the AO base. It calculates the difference between the simple moving averages of 5 and 34 periods based on the median of each bar. Then, it plots the bars based on the difference.
It then compares the histograms to detect peaks and troughs in the AO histograms and compares the identified peaks and troughs to the price. Whenever divergence is detected, it plots lines and arrows.
🔵 Table
The table contains information on the functional features of this oscillator that you can utilize. Four categories of information are presented in the table: "Exist," "Consecutive," "Divergence Quality," and "Change Phase Indicator."
Exist :
If divergence exists, you'll see "+" in this row.
Consecutive :
Divergences may occur consecutively. If same-type divergences form within short intervals, you can observe the count in this row.
Divergence Quality : Based on the number of consecutive divergences, their quality can be evaluated. If one divergence exists, its quality is considered "Normal." If two divergences exist, the quality is "Good," and if three or more divergences exist, the quality is considered "Strong."
Change Phase Indicator : If a phase change occurs between two oscillation peaks formed based on divergence, this change is identified and displayed in this row.
Bollinger Bands strategy with RSI and MACD v1.0 This is a strategy based on the Bollinger Bands, where buy trades are made when the price crosses the lower line of the Bollinger Bands upwards, and sell trades are made when the price crosses the upper line downwards.
In addition, it is possible through the inputs to enable trading with RSI and MACD, so that buy or sell trades are supported by these two indicators.
Trades are partially and fully closed in the following way, a buy trade will close half of the position when the price touches the middle line of the Bollinger bands and will be fully closed when the price touches the upper band. In the case of a sell position, half of the position will be closed if the price touches the middle band and the entire position will be closed when the price touches the lower band. Alternatively, a fixed take profit can be placed. In case the price moves against us, trailing stops can be placed.
In case of selecting to use RSI, MACD, or MACD variation, trades will be executed as long as The Bollinger Bands, and all the above-mentioned indicators give the same signals, either buy or sell.
For example in the case of selecting only Use RSI, buy trades would be made as long as RSI and BB give buy signals.
Strategy inputs:
-BB source: Bollinger Bands price source.
-Bollinger Bands SMA length: Bollinger Bands simple moving average length.
-Bollinger Bands StdDev length: Bollinger Bands standard deviation length.
-Trail Long Loss (%): Distance in percentage at which the stop loss will initially be placed for buy trades.
-Trail Short Loss (%): Distance in percentage at which the stop loss will be initially placed for sell trades.
-Maximum orders: Maximum of simultaneous operations, for example, if it is 3, up to 3 parallel operations of buy and up to 3 parallel operations of sell will be carried out.
-Position size: Number of contracts per trade.
-Use RSI: If selected, the strategy will also trade based on oversold or overbought signals provided by the RSI.
-RSI source: RSI price source.
-RSI period: The RSI period to use.
-RSI value for buy: If the RSI is below this value, it will give a buy signal.
-RSI value for sell: If the RSI value is above this value, it will give a sell signal.
-Use MACD: If selected, buy trades will be made when the MACD crosses 0 upwards, and sell trades will be made when the MACD crosses 0 downwards.
-Use MACD variation: Only available if MACD is previously selected. In this case, buy trades are made if the MACD value in the last 3 candles has been decreasing, and sell trades are made if the MACD value has been increasing.
-MACD source: MACD price source.
-MACD fast length: MACD fast EMA lenght.
-MACD slow length: MACD slow EMA lenght.
-MACD signal length: MACD signal EMA lenght.
-Use maximum TP long: If selected, a fixed take profit will be placed for buy trades. The position could be closed before reaching this take profit if the price touches one of the lower or upper lines first.
-Maximum take profit long (%): Distance in percentage at which the take profit will be placed for buy trades.
-Use maximum TP short: if selected, a fixed take profit will be placed for sell trades. The position could be closed before reaching this take profit if the price touches one of the lower or upper lines first.
-Maximum take profit short (%): Distance in percentage at which the take profit will be set for sell trades.
I hope you like it and as always all feedback is welcome.
Trend Indicator
A Simple indicator combining 3 of the most popular Oscillators RSI, MacD and Momentum to help see reversals or the continuation of a trend. Designed with the COINBASE:BTCUSD chart in mind but there's not reason it shouldn't work on any other asset.
The indicator has two main parts:
- The gray area at the top between the purple dotted lines is 3 RSI's in one (5, 13, 34) These have been moved up from the RSI's original position to avoid cluttering the MacD and make the lines easier to read. Just like with the regular RSI the lower dotted line indicates oversold and the top dotted line indicates an overbought condition.
To identify this more easily the background changes to green when the middle (13 period) RSI is oversold and red when it's overbought.
*Note* On some very small timeframes the position may need to be adjusted in order to make them easier to see.
This section of the indicator is designed to give early warning signs of markets reversing by the faster white line with confirmation from the orange and green lines.
- The bottom section of the indicator has two parts. The first is a modified MacD which is slightly longer term than the original. This is to act as confirmation or entry/take profit points on divergence or if either of the lines within the MacD crossover or the histogram goes from one color to the other. The histogram is also helpful for trend-following as it lets you gauge if the momentum is gaining or losing strength.
The last part of the indicator is simply a momentum line to indicate in which direction the momentum is heading. It's designed as a confirmation of the other indicators and shouldn't be used on it's own.
All individual indicators that make up the trend indicator have been tweaked slightly to use numbers from the fibonacci sequence rather than the originals.
This indicator is best used in combination with volume and moving averages.
- Look for reversals on low volume near a moving average or key historical point.
- Look for breakouts on high volume if the oscillators line up.
RSI and MACD Divergence IndicatorThe RSI and MACD Divergence Indicator is a custom Pine Script v6 indicator designed for TradingView that identifies and visualizes divergences between price movements and two technical indicators: the Relative Strength Index (RSI) and the Moving Average Convergence Divergence (MACD). Here's a brief explanation of its functionality:
Divergence Detection: The indicator detects both regular and hidden divergences for RSI, MACD (MACD Line), and Histogram. Regular bullish divergences occur when price makes a lower low but the indicator makes a higher low (suggesting a potential reversal upward), while regular bearish divergences occur when price makes a higher high but the indicator makes a lower high (suggesting a potential reversal downward). Hidden divergences indicate continuation patterns (e.g., higher low in price with a lower low in the indicator for bullish continuation).
Customizable Inputs:
Pivot Bars: Sets the number of bars used to confirm pivot highs and lows (default: 5).
RSI and MACD Parameters: Allows adjustment of RSI length (default: 14) and MACD settings (fast: 12, slow: 26, signal: 9).
Toggle Options: Enables/disables detection of regular and hidden divergences for RSI, MACD, and Histogram individually.
Confirmation: Option to wait for pivot confirmation (default: true), delaying divergence display until the pivot is fully formed.
Show Only Last Divergence: Toggles between showing only the most recent divergence (default: true) or all detected divergences (false), with previous lines and labels cleared when true.
Minimum Divergences: Sets the minimum number of divergence types required at a pivot to display (default: 1, max: 6).
Maximum Pivot Points: Limits the number of historical pivot points to check (default: 10).
Maximum Bars to Check: Restricts analysis to the last specified number of bars (default: 500).
Visualization:
Draws lines connecting the price pivot points where divergences are detected, with customizable colors, widths, and styles (solid, dashed, dotted) for RSI and MACD.
Displays a single label per pivot with vertically stacked text listing all detected divergence types (e.g., "RSI Bull Div\nMACD Bull Div"), using semi-transparent backgrounds (green for bullish, red for bearish) and white text.
