NAGANTS Prediction AI V1NAGANTS Prediction AI V1 is a technical analysis indicator.
To explain briefly;
This indicator tries to predict the price movements of 3 bars in the future (for example, 3 days or 3 hours, depending on the time frame) by looking at past price data.
When doing this:
It determines that it will analyze a certain bar of past data and makes calculations for three different independent prediction methods and gives equal weight to these prediction methods. Users can change the weights and design them differently and affect the prediction method.
The sum of the weights of these 3 methods should be 1.0.
Future Prediction:
Using the price changes in the next 3 bars of the most similar period found, it predicts the prices of the next 3 bars from the current price.
Graph Drawing:
It draws the predicted prices on the graph with green lines and labels.
In summary:
This code is a tool that predicts future short-term prices based on past price movements and visualizes this on the graph. It aims to help investors predict possible price movements.
As the work continues, the code will continue to be developed and the consistency of the estimates will be increased statistically.
دورات
Vertical Lines Between Two Dates with BackgroundHere You can choose a range between any dates,
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BTC/USDC 50x Futures Strategy with Multi-TPScript in the workings for btc/usdt 50x leverage trading at 1% portfolio margin. Please do not use to save your money
Perfect MA Touch (EMA/SMA + Font Size)Counts the bars from 1 to 7 to help you enter after a range has completed. Has multiple Moving averages, so when the first bar touches the Moving average, the 7th bar will either be trending or ranging.
March 1st MarkerShow vertical line for specific month.
Replace month == 4 and dayofmonth == 1 with the seasonal date you want (e.g., planting or harvest dates).
Band Pass [ko]The Band Pass indicator creates a two-colored representation of price action centered on a zero line. Think of the zero line in relation to the price line as a moving average. Above zero signals a price above a moving average, so an upward trend. Below zero price lines are downward trends. Price lines that keep crossing the zero line are choppy, red flags signaling to stay away, beware, look elsewhere or trade with extreme caution.
The indicator then calculates a white line rate of change, or differential, indicating a smoothed slope of the price curve. Buy when the white line crosses above zero. Hold on as long as the price line crosses above zero and stays above zero. The white line may dip below zero and return above in a head fake move. In this way the white line indicates the margin or incremental move and the price line is the average of a series of recent moves. When the white line crosses below zero with authority and looks to be pulling the price line down as well, exit the position, or reverse and go short.
The gray line is a high pass filter, which is analogous to the price changes of each bar. It is shown for completeness. You can turn it off for a cleaner look.
There is also a fine red line for the rate of change of the white line. This is the second derivative and projects a prospective next move direction of the white line.
The idea of a band pass filter is that it adds the smoothness desired from moving averages without introducing the lag that drastically limits their usefulness. A band pass filter combines a high pass and a low pass filter. By doing so it eliminates both the noisy, high frequency movements that appear too erratically unpredictable to trade and the low frequency movements that are largely unchanging long term trends. The result isolates tradable movements, trends and reversals.
Settings of HPLength = 10 and LPLength = 200 show the zero line approximating an SMA 8, which is a rather tight trend line. I recommend you plot that on your candlesticks for reference.
The curve scale parameter adjusts the amplitude of the price line and has no influence on zero crossings.
Machine Learning: Lorentzian ClassificationUpdated with just the indicator for easier analysis. Moving average with machine learning built in.
Statistical Price Bands with MTF Bands by QTX Algo SystemsStatistical Price Bands with MTF Bands by QTX Algo Systems
Overview
This indicator builds on the original Statistical Price Bands with Trend Filtering script by introducing Multi-Timeframe (MTF) Band Visualization. While the base version calculated adaptive price bands using statistical percentiles, trend filtering, and volatility adjustments, this enhanced version adds support/resistance bands from multiple timeframes onto the current chart.
This is not a minor cosmetic update. The MTF version includes additional request.security() logic and significantly increases context by allowing traders to reference band extremes from longer or shorter timeframes without switching charts. For this reason, the original and MTF versions are maintained separately, as this script requires a Pro+ or Premium TradingView plan to function correctly.
What’s New in This Version
Multi-Timeframe Band Support: Fetches and displays upper and lower bands from other timeframes (e.g., 30min, 1H, 4H, 1D, 1W, 1M).
Chart-Based MTF Labels: Each band is labeled with its source timeframe (e.g., “1D U” = 1-Day Upper Band) for easy visual reference.
Custom Timeframe Control: Users can toggle specific timeframes on/off depending on their preferences and strategy.
Core Calculation Method (Unchanged)
Statistical Percentile Calculation:
Determines upper and lower thresholds using a historical percentile method applied to price deviations from a VWMA anchor.
Volatility Adjustment:
Dynamically scales the percentile thresholds based on a volatility factor (standard deviation vs. moving average).
Trend Filtering:
Adds a directional bias based on whether price is above or below its VWMA, pushing the bands higher in uptrends and lower in downtrends.
MTF Band Integration
This version calculates additional statistical bands using the same logic as the chart’s timeframe, but applies it to other timeframes selected by the user. These values are fetched using request.security() and then plotted onto the current chart using lines and labels.
This functionality allows traders to:
See if current price is extended compared to higher timeframe extremes.
Spot trend continuation or exhaustion relative to intraday or macro levels.
Identify areas of confluence for trade entries, exits, or stop placement.
Inputs & Customization
Statistical Percentile (default: 95)
Controls how extreme the bands are. Higher values = wider bands.
Lookback Period (default: 350)
Number of bars used to calculate percentiles. Longer = smoother bands.
VWMA Length (default: 20)
Sets the moving average anchor for calculating relative price deviation.
Volatility Factor Multiplier (default: 1.0)
Scales the influence of market volatility on band width.
Trend Strength Multiplier (default: 10.0)
Adjusts how far bands shift in the direction of the trend.
Timeframe Toggles (MTF)
Select which timeframes (e.g., 1H, 4H, 1D, 1W) to show on the chart.
Label Offset
Controls how far right MTF labels appear on the chart.
Use Case Scenarios
Overextension Detection:
Price touching or breaching an MTF band may suggest exhaustion, especially if confirmed by confluence or divergence.
Trend Confirmation:
Bands tilting in one direction across multiple timeframes can suggest strong trend alignment.
Risk Management:
Use bands from higher timeframes as trailing stops or invalidation zones.
Why This Is a Separate Script
This version uses request.security() to retrieve values from multiple timeframes, which:
Requires an upgraded TradingView plan (Pro+ or higher).
May impact performance on lower-tier plans.
Provides a major functional difference from the original, not a minor tweak or cosmetic upgrade.
To maintain compatibility and accessibility for all users, both versions are published separately:
The original for single-timeframe users.
This version for those using a multi-timeframe workflow.
Disclaimer
This script is for educational purposes only. It is intended to support your analysis—not to predict outcomes or replace risk management. Past performance is not indicative of future results. Always perform your own analysis and trade responsibly.
Candle Body PercentageShow you the candle percentage that you can use.
Perfect to know strength candle.
Alpha Beast – Max Performance ModeTest strategy.
This strategy was created as a test, but shows good results in the 1-day chart.
QT NY Session High/LowShows Asia & London High/Low which are key liquidity points price will react to.
You can also adjust the NY AM 6am - 12pm EST range to divide the time frames into 4 quarters
It delivers NY AM true open and the true day open
It gives you previous day high & previous day low
2013-2025 EclipsesIndicator Description: 2013-2025 Eclipses
This Pine Script (version 5) indicator overlays solar and lunar eclipse events on a TradingView chart, covering the period from 2013 to 2025. It is designed for traders and astrology enthusiasts who wish to visualize these significant astronomical events alongside price action, potentially identifying correlations with market movements or key turning points.
Features:
Eclipses:
Visualization: Displayed as a semi-transparent aqua background highlight across the chart.
Data: Includes 48 specific eclipse dates (both solar and lunar) from April 25, 2013, to September 21, 2025.
Purpose: Highlights dates of eclipses, which are often considered powerful astrological events associated with sudden changes, revelations, or significant shifts in energy and market sentiment.
Technical Details:
Overlay: The indicator is set to overlay=true, ensuring it displays directly on the price chart rather than in a separate pane.
Date Matching: Utilizes a helper function is_date(y, m, d) to determine if the current chart date matches any of the predefined eclipse dates, using TradingView's year, month, and dayofmonth variables.
Visualization Method:
bgcolor: Applies a light aqua background (using color.new(color.aqua, 85)) on the specific dates of eclipses. The transparency level of 85 allows price action to remain visible through the highlight.
Time Range: Spans from April 2013 to September 2025, covering a 12+ year period of eclipse events.
Usage:
Add the script to your TradingView chart to see eclipse dates highlighted with an aqua background on your chosen symbol and timeframe.
The background highlight appears only on the exact dates of eclipses, making it easy to spot these events amidst price data.
Ideal for those incorporating astrological analysis into trading or studying the potential impact of eclipses on financial markets.
Notes:
The script uses a single-line definition for eclipse_dates to ensure compatibility with Pine Script v5 syntax and avoid line continuation errors.
The aqua color matches the original circle-based visualization, with transparency adjustable via the color.new(color.aqua, 85) parameter (0 = fully opaque, 100 = fully transparent).
Works best on daily or higher timeframes for clear visibility of individual eclipse dates, though it functions on any TradingView-supported timeframe.
Eclipse dates should be cross-checked with astronomical sources for critical applications, as the script relies on the provided data accuracy.
Purpose:
This indicator provides a straightforward way to track eclipses over a 12-year period, offering a visual representation of these potent celestial events. By using a background highlight instead of markers, it maintains chart clarity while emphasizing the specific days when eclipses occur, potentially aiding in the analysis of their influence on market behavior or personal trading strategies.
Coppock Curve
The Coppock Curve is a long-term momentum indicator, also known as the "Coppock Guide," used to identify potential long-term market turning points, particularly major downturns and upturns, by smoothing the sum of 14-month and 11-month rates of change with a 10-month weighted moving average.
Here's a more detailed breakdown:
What it is:
The Coppock Curve is a technical indicator designed to identify long-term buy and sell signals in major stock market indices and related ETFs.
How it's calculated:
Rate of Change (ROC): The indicator starts by calculating the rate of change (ROC) for 14 and 11 periods (usually months).
Sum of ROCs: The ROC for the 14-period and 11-period are summed.
Weighted Moving Average (WMA): A 10-period weighted moving average (WMA) is then applied to the sum of the ROCs.
Interpreting the Curve:
Buy Signals: A buy signal is often generated when the Coppock Curve crosses above the zero line, suggesting a potential transition from a bearish to a bullish phase.
Sell Signals: While primarily designed to identify market bottoms, some traders may interpret a cross below the zero line as a sell signal or a bearish warning.
Origin and Purpose:
The Coppock Curve was introduced by economist Edwin Coppock in 1962.
It was originally designed to help investors identify opportune moments to enter the market.
Coppock's inspiration came from the Episcopal Church's concept of the average mourning period, which he believed mirrored the stock market's recovery period.
Limitations:
The Coppock Curve is primarily used for long-term analysis and may not be as effective for short-term or intraday trading.
It may lag in rapidly changing markets, and its signals may not always be reliable.
RSI + VWAP + MA + Volume Signalsa script using a good level of rsi with much filtrations from MA and vwap
Nuvem de Tendência com RSI e MACDTrend Cloud with RSI and MACD Indicator
This Trend Cloud with RSI and MACD indicator is a comprehensive trading tool designed to help traders identify market trends, momentum, and potential reversal points using a combination of Volume-Weighted Moving Average (VWMA), Relative Strength Index (RSI), and Moving Average Convergence Divergence (MACD). It provides a visual representation of the trend direction through a dynamic trend cloud, and includes signals for overbought/oversold RSI conditions and MACD crossovers.
How the Indicator Works
1. Moving Averages & Trend Cloud
The indicator calculates two moving averages:
VWMA (Volume-Weighted Moving Average): Gives more weight to price movements with higher volume, making it a more accurate representation of market activity.
Customizable Moving Average: The user can choose from different types (SMA, EMA, WMA, VWMA, RMA) with a default period of 89.
A trend cloud is formed between the VWMA and the selected moving average, changing color based on market conditions:
Green (Bullish Trend) – If RSI is above 50 and MACD Line is above the Signal Line.
Red (Bearish Trend) – If RSI is below 50 and MACD Line is below the Signal Line.
Gray (Neutral/Unclear Trend) – If neither bullish nor bearish conditions are met.
2. RSI (Relative Strength Index) Analysis
The RSI is calculated using a 14-period setting.
It identifies potential overbought and oversold conditions:
Above 70 → Overbought, indicating a possible reversal or pullback.
Below 30 → Oversold, indicating a potential buying opportunity.
When these levels are reached, the indicator plots red triangle-up markers above bars for overbought conditions and green triangle-down markers below bars for oversold conditions.
3. MACD (Moving Average Convergence Divergence) Analysis
The MACD is calculated using the 12-period (short), 26-period (long), and 9-period signal line settings.
It helps detect trend momentum shifts by identifying bullish and bearish crossovers:
MACD Line crossing above the Signal Line → Bullish signal, plotted as a lime-colored X below the bars.
MACD Line crossing below the Signal Line → Bearish signal, plotted as a red-colored X above the bars.
4. Alerts and Signals
The indicator includes alert conditions for key trading signals:
RSI Overbought Alert → Triggers when RSI crosses above 70.
RSI Oversold Alert → Triggers when RSI crosses below 30.
MACD Bullish Crossover Alert → Triggers when MACD Line crosses above Signal Line.
MACD Bearish Crossover Alert → Triggers when MACD Line crosses below Signal Line.
These alerts help traders react quickly to potential market reversals or trend continuations.
How to Use This Indicator
Trend Confirmation: Use the cloud color to confirm the overall market trend.
Momentum Signals: Look for RSI overbought/oversold conditions to identify potential reversals.
MACD Crossovers: Use MACD signals to spot changes in momentum and trend shifts.
Entry & Exit Points:
Consider entering long positions when the cloud is green, RSI is rising, and MACD gives a bullish crossover.
Consider short positions when the cloud is red, RSI is falling, and MACD gives a bearish crossover.
Conclusion
This Trend Cloud with RSI and MACD indicator is a powerful tool that combines multiple technical analysis methods into a single visualization. It helps traders identify trends, overbought/oversold conditions, and momentum shifts with clear visual clues and alerts, making it suitable for both trend-following and reversal strategies.
EMA Status Table - FelipeA simple table for all major timeframes which indicates if the Asset is above EMAs.
Key Levels - FelipeA copy of the Spaceman Key Leves + But adding a alert for any type of Key Live - General alert for BTC tracking Yearly, Quaterly, Monthly, Daily and Monday functions.
Alert name Key Level Hit
SmallCapToLargecapRatioThis Ratio Shows when to shift your allocation from Small Cap to Large Cap before a potential crash. So that you can protect your wealth.
Ex. When the ratio is around 2 (1.6-1.8) (Shift from SMALL CAP to LARGE CAP )
When the ratio is 1 or below (Shift from LARGE CAP to SMALL CAP )
[JPMM]SuperTrendThis indicator is built on a combination of indicators: SuperTrend, RSI, Stochastic, ADX, EMA.
It works on the principle of finding accumulation zones combined with momentum.
You can buy or sell when you see a BUY/SELL signal, but this is an indicator used to accumulate positions, so you have to divide your capital into many equal parts to accumulate (the safest is over 50 parts).
You can adjust the overbought/oversold zone of RSI in the settings, this can help you choose better BUY/SELL zones.
Please use it and give feedback!
[JPMM]Slope & SpikeThis indicator is built on a combination of indicators such as RSI, ADX, MACD, EMA.
It operates on the principle of finding reversal zones combined with momentum.
When you see a BUY signal, you can enter a LONG order, when you see a SELL signal, enter a SHORT order.
However, trading is a profession with probability, you must always manage your capital well to prevent the worst case scenario.
Please use it and give feedback!
