EMA RSI CrossThe EMA RSI Cross (ERC) indicator combines exponential moving average (EMA) crossovers with relative strength index (RSI) momentum signals to highlight potential bullish and bearish trading opportunities.
It works in two layers:
EMA Cross Layer: Tracks short‑term vs. mid‑term trend shifts using EMA(5) crossing above/below EMA(20), while also displaying EMA(50) and EMA(200) for longer‑term structure.
RSI Confirmation Layer: Confirms momentum by requiring RSI(14) to cross its moving average (SMA 14) within a recent lookback window.
Only when both conditions align, and the price confirms the setup in relation to EMA20, a signal is generated:
Bullish Signal (green triangle): EMA5 crosses above EMA20 + RSI crosses up + close above EMA20
Bearish Signal (red triangle): EMA5 crosses below EMA20 + RSI crosses down + close below EMA20
Features
Customizable timeframe input for multi‑timeframe analysis
Adjustable lookback period for RSI confirmation
Clear charting with EMA overlays and arrow signals when confirmed setups occur
RSI panel with dynamic background and overbought/oversold visualization
How to Use
Add the script to your chart, select your preferred signal timeframe.
Look for green arrows as bullish entry confirmation and red arrows for bearish setups.
Use additional filters (trend direction, support/resistance, volume) to refine trades.
Avoid relying on signals in sideways/choppy markets where EMA and RSI may give false triggers.
Cerca negli script per "the script"
Precision Entry Signals (RSI + MA12 Logic)Description:
This script provides precise entry signals based on a clean confluence of MA12 breakouts and RSI momentum, filtered by a VWMA (Volume-Weighted Moving Average) of the RSI.
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🔹 Long entry conditions:
- Candle opens below the 12-period MA and closes above it
- RSI crosses above its VWMA
- Previous candle is bearish (additional confirmation)
🔹 Short entry conditions:
- Candle opens above the 12-period MA and closes below it
- RSI crosses below its VWMA
- Previous candle is bullish
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Once a signal is confirmed, the script automatically draws:
Entry line (at close price)
Stop Loss line (just below recent lows for long, or above highs for short)
Take Profit 1 (1R)
Take Profit 2 (2R)
Labels are attached to the lines for clarity: ENTRY, SL, TP1, and TP2.
⚠️ Note: This tool only provides entry signals and visual risk/reward guidance. It does not manage exits dynamically. Manual trade management is recommended.
This script is intended for active intraday traders, especially on lower timeframes like 3-minute, 5-minute or 15-minute charts.
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🔧 Recommended companion indicator:
For better confirmation and visual tracking of the RSI/VWMA cross logic, it is strongly recommended to also use the companion script:
🔹 Relative Strength Index (with MA based cross signals)
→ Shows RSI and its moving average visually, with triangle plots on every valid cross.
→ Matches exactly the RSI/VWMA behavior used in this entry signal script.
📌 Important:
After adding the RSI script to your chart, make sure to set:
RSI Length = 14
MA Type = VWMA
MA Length = 20
This ensures it visually matches the logic used by the entry signal script.
Both indicators are fully open source and meant to be used together — especially when trading manually.
G-Bot v3Overview:
G-Bot is an invite-only Pine Script tailored for traders seeking a precise, automated breakout strategy. This closed-source script integrates with 3Commas via API to execute trades seamlessly, combining classic indicators with proprietary logic to identify high-probability breakouts. G-Bot stands out by filtering market noise through a unique confluence of signals, offering adaptive risk management, and employing advanced alert deduplication to ensure reliable automation. Its purpose-built design delivers actionable signals for traders prioritizing consistency and efficiency in trending markets.
What It Does and How It Works:
G-Bot generates trade signals by evaluating four key market dimensions—trend, price action, momentum, and volume—on each 60-minute bar. The script’s core components and their roles are:
Trend Detection (EMAs): Confirms trend direction by checking if the 5-period EMA is above (bullish) or below (bearish) the 6-period EMA, with the price positioned accordingly (above the 5-period EMA for longs, below for shorts). The tight EMA pairing is optimized for the 60-minute timeframe to capture sustained trends while minimizing lag.
Price Action Trigger (Swing Highs/Lows): Identifies breakouts when the price crosses above the previous swing high (for longs) or below the previous swing low (for shorts), using a period lookback to focus on recent price pivots. This ensures entries align with significant market moves.
Momentum Filter (RSI): Validates breakouts by requiring RSI to fall within moderated ranges. These ranges avoid overbought/oversold extremes, prioritizing entries with balanced momentum to enhance trade reliability.
Volume Confirmation (3-period SMA): Requires volume to exceed its 3-period SMA, confirming that breakouts are driven by strong market participation, reducing the risk of false moves.
Risk Management (14-period ATR): Calculates stop-loss distances (ATR) and trailing stops (ATR and ATR-point offset) to align trades with current volatility, protecting capital and locking in profits.
These components work together to create a disciplined system: the EMAs establish trend context, swing breaks confirm price momentum, RSI filters for optimal entry timing, and volume ensures market conviction. This confluence minimizes false signals, a critical advantage for hourly breakout trading.
Why It’s Original and Valuable:
G-Bot’s value lies in its meticulous integration of standard indicators into a non-standard, automation-focused system. Its unique features include:
Curated Signal Confluence: Unlike generic breakout scripts that rely on single-indicator triggers (e.g., EMA crossovers), G-Bot requires simultaneous alignment of trend, price action, momentum, and volume. This multi-layered approach, reduces noise and prioritizes high-conviction setups, addressing a common flaw in simpler strategies.
Proprietary Alert Deduplication: G-Bot employs a custom mechanism to prevent redundant alerts, using a 1-second minimum gap and bar-index tracking. This ensures signals are actionable and compatible with 3Commas’ high-frequency automation, a feature not found in typical Pine Scripts.
Adaptive Position Sizing: The script calculates trade sizes based on user inputs (1-5% equity risk, max USD cap, equity threshold) and ATR-derived stop distances, ensuring positions reflect both account size and market conditions. This dynamic approach enhances risk control beyond static sizing methods.
3Commas API Optimization: G-Bot generates JSON-formatted alerts with precise position sizing and exit instructions, enabling seamless integration with 3Commas bots. This level of automation, paired with detailed Telegram alerts for monitoring, streamlines the trading process.
Visual Clarity: On-chart visuals—green triangles for long entries, red triangles for shorts, orange/teal lines for swing levels, yellow circles for price crosses—provide immediate insight into signal triggers, allowing traders to validate setups without accessing the code.
G-Bot is not a repackaging of public code but a specialized tool that transforms familiar indicators into a robust, automated breakout system. Its originality lies in the synergy of its components, proprietary alert handling, and trader-centric automation, justifying its invite-only status.
How to Use:
Setup: Apply G-Bot to BITGET’s BTCUSDT.P chart on a 60-minute timeframe.
3Commas Configuration: Enter your 3Commas API Secret Key and Bot UUID in the script’s input settings to enable webhook integration.
Risk Parameters: Adjust Risk % (1-5%), Max Risk ($), and Equity Threshold ($) to align position sizing with your account and risk tolerance.
Webhook Setup: Configure 3Commas to receive JSON alerts for automated trade execution. Optionally, connect Telegram for detailed signal notifications.
Monitoring: Use on-chart visuals to track signals:
Green triangles (below bars) mark long entries; red triangles (above bars) mark shorts.
Orange lines show swing highs; teal lines show swing lows.
Yellow circles indicate price crosses; purple crosses highlight volume confirmation.
Testing: Backtest G-Bot in a demo environment to validate performance and ensure compatibility with your trading strategy.
Setup Notes : G-Bot is a single, self-contained script for BTCUSDT.P on 60-minute charts, with all features accessible via user inputs. No additional scripts or passwords are required, ensuring compliance with TradingView’s single-publication rule.
Disclaimer: Trading involves significant risks, and past performance is not indicative of future results. Thoroughly test G-Bot in a demo environment before deploying it in live markets.
Full setup support will be provided
Uptrick: Portfolio Allocation DiversificationIntro
The Uptrick: Portfolio Allocation Diversification script is designed to help traders and investors manage multiple assets simultaneously. It generates signals based on various trading systems, allocates capital using different diversification methods, and displays real-time metrics and performance tables on the chart. The indicator compares active trading strategies with a separate long-term holding (HODL) simulation, allowing you to see how a systematic trading approach stacks up against a simple buy-and-hold strategy.
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Trading System Selection
1. No signals (none)
In this mode, the script does not produce bullish or bearish indicators; every asset stays in a neutral stance. This setup is useful if you prefer to observe how capital might be distributed based solely on the chosen diversification method, with no influence from directional signals.
2. rsi – neutral
This mode uses an index-based measure of whether an asset appears overbought or oversold. It generates a bearish signal if market conditions point to overbought territory, and a bullish signal if they indicate oversold territory. If neither extreme surfaces, it remains neutral. Some traders apply this in sideways or range-bound conditions, where overbought and oversold levels often hint at possible turning points. It does not specifically account for divergence patterns.
3. rsi – long only
In this setting, the system watches for instances where momentum readings strengthen even if the asset’s price is still under pressure or setting new lows. It also considers oversold levels as potential signals for a bullish setup. When such conditions emerge, the script flags a possible move to the upside, ignoring indications that might otherwise suggest a bearish trend. This approach is generally favored by those who want to concentrate exclusively on identifying price recoveries.
4. rsi – short only
Here, the script focuses on spotting signs of deteriorating momentum while an asset’s price remains relatively high or attempts further gains. It also checks whether the market is drifting into overbought territory, suggesting a potential decline. Under such conditions, it issues a bearish signal. It provides no bullish alerts, making it particularly suitable for traders who look to take advantage of overvalued scenarios or protect themselves against sudden downward moves.
5. Deviation from fair value
Under this system, the script judges how far the current price may have strayed from what is considered typical, taking into account normal fluctuations. If the asset appears to be trading at an unusually low level compared to that reference, it is flagged as bullish. If it seems abnormally high, a bearish signal is issued. This can be applied in various market environments to seek opportunities that arise from perceived mispricing.
6. Percentile channel valuation
In this mode, the script determines where an asset's price stands within a historical distribution, highlighting whether it has reached unusually high or low territory compared to its recent past. When the price reaches what is deemed an extreme reading, it may indicate that a reversal is more likely. This approach is often used by traders who watch for statistical outliers and potential reversion to a more typical trading range.
7. ATH valuation
This technique involves comparing an asset's current price with its previously recorded peak values. The script then interprets whether the price is positioned so far below the all-time high that it looks discounted, or so close to that high that it could be overextended. Such perspective is favored by market participants who want to see if an asset still has ample room to climb before matching historic extremes, or if it is nearing a possible ceiling.
8. Z-score system
Here, the script measures how far above or below a standard reference average an asset's price may be, translated into standardized units. Substantial negative readings can suggest a price that might be unusually weak, prompting a bullish indication, while large positive readings could signal overextension and lead to a bearish call. This method is useful for traders watching for abrupt deviations from a norm that often invite a reversion to more balanced levels.
RSI Divergence Period
This input is particularly relevant for the RSI - Long Only and RSI - Short Only modes. The period determines how many bars in the past you compare RSI values to detect any divergences.
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Diversification Method
Once the script has determined a bullish, bearish, or neutral stance for each asset, it then calculates how to distribute capital among all included assets. The diversification method sets the weighting logic.
1. None
Gives each asset an equal weight. For example, if you have five included assets, each might get 20 percent. This is a simple baseline.
2. Risk-Adjusted Expected Return Using Volatility Clustering
Emphasizes each asset’s average returns relative to its observed risk or volatility tendencies. Assets that exhibit good risk-adjusted returns combined with moderate or lower volatility may receive higher weights than more volatile or less appealing assets. This helps steer capital toward assets that have historically provided a better ratio of return to risk.
3. Relative Strength
Allocates more capital to assets that show stronger price strength compared to a reference (for example, price above a long-term moving average plus a higher RSI). Assets in clear uptrends may be given higher allocations.
4. Trend-Following Indicators
Examines trend-based signals, like positive momentum measurements or upward-trending strength indicators, to assign more weight to assets demonstrating strong directional moves. This suits those who prefer to latch onto trending markets.
5. Volatility-Adjusted Momentum
Looks for assets that have strong price momentum but relatively subdued volatility. The script tends to reward assets that are trending well yet are not too volatile, aiming for stable upward performance rather than massive swings.
6. Correlation-Based Risk Parity
Attempts to weight assets in such a way that the overall portfolio risk is more balanced. Although it is not an advanced correlation matrix approach in a strict sense, it conceptually scales each asset’s weight so no single outlier heavily dominates.
7. Omega Ratio Maximization
Gives preference to assets with higher omega ratios. This ratio can be interpreted as the probability-weighted gains versus losses. Assets with a favorable skew are given more capital.
8. Liquidity-Weighted Valuation
Considers each asset’s average trading liquidity, such as the combination of volume and price. More liquid assets typically receive a higher allocation because they can be entered or exited with lower slippage. If the trading system signals bullishness, that can further boost the allocation, and if it signals bearishness, the allocation might be set to zero or reduced drastically.
9. Drawdown-Controlled Allocation (DCA)
Examines each asset’s maximum drawdown over a recent window. Assets experiencing lighter drawdowns (thus indicating somewhat less downside volatility) receive higher allocations, aiming for a smoother overall equity curve.
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Portfolio and Allocation Settings
Portfolio Value
Defines how much total capital is available for the strategy-based investment portion. For example, if set to 10,000, then each asset’s monetary allocation is determined by the percentage weighting times 10,000.
Use Fixed Allocation
When enabled, the script calculates the initial allocation percentages after 50 bars of data have passed. It then locks those percentages for the remainder of the backtest or real-time session. This feature allows traders to test a static weighting scenario to see how it differs from recalculating weights at each bar.
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HODL Simulator
The script has a separate simulation that accumulates positions in an asset whenever it appears to be recovering from an undervalued state. This parallel tracking is intended to contrast a simple buy-and-hold approach with the more adaptive allocation methods used elsewhere in the script.
HODL Buy Quantity
Each time an asset transitions from an undervalued state to a recovery phase, the simulator executes a purchase of a predefined quantity. For example, if set to 0.5 units, the system will accumulate this amount whenever conditions indicate a shift away from undervaluation.
HODL Buy Threshold
This parameter determines the level at which the simulation identifies an asset as transitioning out of an undervalued state. When the asset moves above this threshold after previously being classified as undervalued, a buy order is triggered. Over time, the performance of these accumulated positions is tracked, allowing for a comparison between this passive accumulation method and the more dynamic allocation strategy.
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Asset Table and Display Settings
The script displays data in multiple tables directly on your chart. You can toggle these tables on or off and position them in various corners of your TradingView screen.
Asset Info Table Position
This table provides key details for each included asset, displaying:
Symbol – Identifies the trading pair being monitored. This helps users keep track of which assets are included in the portfolio allocation process.
Current Trading Signal – Indicates whether the asset is in a bullish, bearish, or neutral state based on the selected trading system. This assists in quickly identifying which assets are showing potential trade opportunities.
Volatility Approximation – Represents the asset’s historical price fluctuations. Higher volatility suggests greater price swings, which can impact risk management and position sizing.
Liquidity Estimate – Reflects the asset’s market liquidity, often based on trading volume and price activity. More liquid assets tend to have lower transaction costs and reduced slippage, making them more favorable for active strategies.
Risk-Adjusted Return Value – Measures the asset’s returns relative to its risk level. This helps in determining whether an asset is generating efficient returns for the level of volatility it experiences, which is useful when making allocation decisions.
2. Strategy Allocation Table Position
Displays how your selected diversification method converts each asset into an allocation percentage. It also shows how much capital is being invested per asset, the cumulative return, standard performance metrics (for example, Sharpe ratio), and the separate HODL return percentage.
Symbol – Displays the asset being analyzed, ensuring clarity in allocation distribution.
Allocation Percentage – Represents the proportion of total capital assigned to each asset. This value is determined by the selected diversification method and helps traders understand how funds are distributed within the portfolio.
Investment Amount – Converts the allocation percentage into a dollar value based on the total portfolio size. This shows the exact amount being invested in each asset.
Cumulative Return – Tracks the total return of each asset over time, reflecting how well it has performed since the strategy began.
Sharpe Ratio – Evaluates the asset’s return in relation to its risk by comparing excess returns to volatility. A higher Sharpe ratio suggests a more favorable risk-adjusted performance.
Sortino Ratio – Similar to the Sharpe ratio, but focuses only on downside risk, making it more relevant for traders who prioritize minimizing losses.
Omega Ratio – Compares the probability of achieving gains versus losses, helping to assess whether an asset provides an attractive risk-reward balance.
Maximum Drawdown – Measures the largest percentage decline from an asset’s peak value to its lowest point. This metric helps traders understand the worst-case loss scenario.
HODL Return Percentage – Displays the hypothetical return if the asset had been bought and held instead of traded actively, offering a direct comparison between passive accumulation and the active strategy.
3. Profit Table
If the Profit Table is activated, it provides a summary of the actual dollar-based gains or losses for each asset and calculates the overall profit of the system. This table includes separate columns for profit excluding HODL and the combined total when HODL gains are included. As seen in the image below, this allows users to compare the performance of the active strategy against a passive buy-and-hold approach. The HODL profit percentage is derived from the Portfolio Value input, ensuring a clear comparison of accumulated returns.
4. Best Performing Asset Table
Focuses on the single highest-returning or highest-profit asset at that moment. It highlights the symbol, the asset’s cumulative returns, risk metrics, and other relevant stats. This helps identify which asset is currently outperforming the rest.
5. Most Profitable Asset
A simpler table that underscores the asset producing the highest absolute dollar profit across the portfolio.
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Multi Asset Selection
You can include up to ten different assets (such as BTCUSDT, ETHUSDT, ADAUSDT, and so on) in this script. Each asset has two inputs: one to enable or disable its inclusion, and another to select its trading pair symbol. Once you enable an asset, the script requests the relevant market data from TradingView.
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Uniqness and Features
1. Multiple Data Fetches
Each asset is pulled from the chart’s timeframe, along with various metrics such as RSI, volatility approximations, and trend indicators.
2. Various Risk and Performance Metrics
The script internally keeps track of different measures, like Sharpe ratio (a measure of average return adjusted for risk), Sortino ratio (which focuses on downside volatility), Omega ratio, and maximum drawdown. These metrics feed into the strategy allocation table, helping you quickly assess the risk-and-return profile of each asset.
3. Real-Time Tables
Instead of having to set up complex spreadsheets or external dashboards, the script updates all tables on every new bar. The color schemes in these tables are designed to draw attention to bullish or bearish signals, positive or negative returns, and so forth.
4. HODL Comparison
You can visually compare the active strategy’s results to a separate continuous buy-on-dips accumulation strategy. This allows for insight into whether your dynamic approach truly beats a simpler, more patient method.
5. Locking Allocations
The Use Fixed Allocation input is convenient for those who want to see how holding a fixed distribution of capital performs over time. It helps in distinguishing between constant rebalancing vs a fixed, set-and-forget style.
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How to use
1. Add the Script to Your Chart
Once added, open the settings panel to configure your asset list, choose a trading system, and select the diversification approach.
2. Select Assets
Pick up to ten symbols to monitor. Disable any you do not want included. Each included asset is then handled for signals, diversification, and performance metrics.
3. Choose Trading System
Decide if you prefer RSI-based signals, a fair-value approach, or a percentile-based method, among others. The script will then flag assets as bullish, bearish, or neutral according to that selection.
4. Pick a Diversification Method
For example, you might choose Trend-Following Indicators if you believe momentum stocks or cryptocurrencies will continue their trends. Or you could use the Omega Ratio approach if you want to reward assets that have had a favorable upside probability.
5. Set Portfolio Value and HODL Parameters
Enter how much capital you want to allocate in total (for the dynamic strategy) and adjust HODL buy quantities and thresholds as desired. (HODL Profit % is calculated from the Portfolio Value)
6. Inspect the Tables
On the chart, the script can display multiple tables showing your allocations, returns, risk metrics, and which assets are leading or lagging. Monitor these to make decisions about capital distribution or see how the strategy evolves.
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Additional Remarks
This script aims to simplify multi-asset portfolio management in a single tool. It emphasizes user-friendliness by color-coding the data in tables, so you do not need extra spreadsheets. The script is also flexible in letting you lock allocations or compare dynamic updates.
Always remember that no script can guarantee profitable outcomes. Real markets involve unpredictability, and real trading includes fees, slippage, and liquidity constraints not fully accounted for here. The script uses real-time and historical data for demonstration and educational purposes, providing a testing environment for various systematic strategies.
Performance Considerations
Due to the complexity of this script, users may experience longer loading times, especially when handling multiple assets or using advanced allocation methods. In some cases, calculations may time out if too many settings are adjusted simultaneously. If this occurs, removing and reapplying the indicator to the chart can help reset the process. Additionally, it is recommended to configure inputs gradually instead of adjusting all parameters at once, as excessive changes can extend the script’s loading duration beyond TradingView’s processing limits.
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Originality
This script stands out by integrating multiple asset management techniques within a single indicator, eliminating the need for multiple scripts or external portfolio tools. Unlike traditional single-asset strategies, it simultaneously evaluates multiple assets, applies systematic allocation logic, and tracks risk-adjusted performance in real time. The script is designed to function within TradingView’s script limitations while still allowing for complex portfolio simulations, making it an efficient tool for traders managing diverse holdings. Additionally, its combination of systematic trading signals with allocation-based diversification provides a structured approach to balancing exposure across different market conditions. The dynamic interplay between adaptive trading strategies and passive accumulation further differentiates it from conventional strategy indicators that focus solely on directional signals without considering capital allocation.
Conclusion
Uptrick: Portfolio Allocation Diversification pulls multiple assets into one efficient workflow, where each asset’s signal, volatility, and performance is measured, then assigned a share of capital according to your selected diversification method. The script accommodates both dynamic rebalancing and a locked allocation style, plus an ongoing HODL simulation for passive accumulation comparison. It neatly visualizes the entire process through on-chart tables that are updated every bar.
Traders and investors looking for ways to manage multiple assets under one unified framework can explore the different modules within this script to find what suits their style. Users can quickly switch among trading systems, vary the allocation approach, or review side-by-side performance metrics to see which method aligns best with their risk tolerance and market perspective.
Bitcoin Macro Trend Map [Ox_kali]
## Introduction
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The “Bitcoin Macro Trend Map” script is designed to provide a comprehensive analysis of Bitcoin’s macroeconomic trends. By leveraging a unique combination of Bitcoin-specific macroeconomic indicators, this script helps traders identify potential market peaks and troughs with greater accuracy. It synthesizes data from multiple sources to offer a probabilistic view of market excesses, whether overbought or oversold conditions.
This script offers significant value for the following reasons:
1. Holistic Market Analysis : It integrates a diverse set of indicators that cover various aspects of the Bitcoin market, from investor sentiment and market liquidity to mining profitability and network health. This multi-faceted approach provides a more complete picture of the market than relying on a single indicator.
2. Customization and Flexibility : Users can customize the script to suit their specific trading strategies and preferences. The script offers configurable parameters for each indicator, allowing traders to adjust settings based on their analysis needs.
3. Visual Clarity : The script plots all indicators on a single chart with clear visual cues. This includes color-coded indicators and background changes based on market conditions, making it easy for traders to quickly interpret complex data.
4. Proven Indicators : The script utilizes well-established indicators like the EMA, NUPL, PUELL Multiple, and Hash Ribbons, which are widely recognized in the trading community for their effectiveness in predicting market movements.
5. A New Comprehensive Indicator : By integrating background color changes based on the aggregate signals of various indicators, this script essentially creates a new, comprehensive indicator tailored specifically for Bitcoin. This visual representation provides an immediate overview of market conditions, enhancing the ability to spot potential market reversals.
Optimal for use on timeframes ranging from 1 day to 1 week , the “Bitcoin Macro Trend Map” provides traders with actionable insights, enhancing their ability to make informed decisions in the highly volatile Bitcoin market. By combining these indicators, the script delivers a robust tool for identifying market extremes and potential reversal points.
## Key Indicators
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Macroeconomic Data: The script combines several relevant macroeconomic indicators for Bitcoin, such as the 10-month EMA, M2 money supply, CVDD, Pi Cycle, NUPL, PUELL, MRVR Z-Scores, and Hash Ribbons (Full description bellow).
Open Source Sources: Most of the scripts used are sourced from open-source projects that I have modified to meet the specific needs of this script.
Recommended Timeframes: For optimal performance, it is recommended to use this script on timeframes ranging from 1 day to 1 week.
Objective: The primary goal is to provide a probabilistic solution to identify market excesses, whether overbought or oversold points.
## Originality and Purpose
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This script stands out by integrating multiple macroeconomic indicators into a single comprehensive tool. Each indicator is carefully selected and customized to provide insights into different aspects of the Bitcoin market. By combining these indicators, the script offers a holistic view of market conditions, helping traders identify potential tops and bottoms with greater accuracy. This is the first version of the script, and additional macroeconomic indicators will be added in the future based on user feedback and other inputs.
## How It Works
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The script works by plotting each macroeconomic indicator on a single chart, allowing users to visualize and interpret the data easily. Here’s a detailed look at how each indicator contributes to the analysis:
EMA 10 Monthly: Uses an exponential moving average over 10 monthly periods to signal bullish and bearish trends. This indicator helps identify long-term trends in the Bitcoin market by smoothing out price fluctuations to reveal the underlying trend direction.Moving Averages w/ 18 day/week/month.
Credit to @ryanman0
M2 Money Supply: Analyzes the evolution of global money supply, indicating market liquidity conditions. This indicator tracks the changes in the total amount of money available in the economy, which can impact Bitcoin’s value as a hedge against inflation or economic instability.
Credit to @dylanleclair
CVDD (Cumulative Value Days Destroyed): An indicator based on the cumulative value of days destroyed, useful for identifying market turning points. This metric helps assess the Bitcoin market’s health by evaluating the age and value of coins that are moved, indicating potential shifts in market sentiment.
Credit to @Da_Prof
Pi Cycle: Uses simple and exponential moving averages to detect potential sell points. This indicator aims to identify cyclical peaks in Bitcoin’s price, providing signals for potential market tops.
Credit to @NoCreditsLeft
NUPL (Net Unrealized Profit/Loss): Measures investors’ unrealized profit or loss to signal extreme market levels. This indicator shows the net profit or loss of Bitcoin holders as a percentage of the market cap, helping to identify periods of significant market optimism or pessimism.
Credit to @Da_Prof
PUELL Multiple: Assesses mining profitability relative to historical averages to indicate buying or selling opportunities. This indicator compares the daily issuance value of Bitcoin to its yearly average, providing insights into when the market is overbought or oversold based on miner behavior.
Credit to @Da_Prof
MRVR Z-Scores: Compares market value to realized value to identify overbought or oversold conditions. This metric helps gauge the overall market sentiment by comparing Bitcoin’s market value to its realized value, identifying potential reversal points.
Credit to @Pinnacle_Investor
Hash Ribbons: Uses hash rate variations to signal buying opportunities based on miner capitulation and recovery. This indicator tracks the health of the Bitcoin network by analyzing hash rate trends, helping to identify periods of miner capitulation and subsequent recoveries as potential buying opportunities.
Credit to @ROBO_Trading
## Indicator Visualization and Interpretation
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For each horizontal line representing an indicator, a legend is displayed on the right side of the chart. If the conditions are positive for an indicator, it will turn green, indicating the end of a bearish trend. Conversely, if the conditions are negative, the indicator will turn red, signaling the end of a bullish trend.
The background color of the chart changes based on the average of green or red indicators. This parameter is configurable, allowing adjustment of the threshold at which the background color changes, providing a clear visual indication of overall market conditions.
## Script Parameters
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The script includes several configurable parameters to customize the display and behavior of the indicators:
Color Style:
Normal: Default colors.
Modern: Modern color style.
Monochrome: Monochrome style.
User: User-customized colors.
Custom color settings for up trends (Up Trend Color), down trends (Down Trend Color), and NaN (NaN Color)
Background Color Thresholds:
Thresholds: Settings to define the thresholds for background color change.
Low/High Red Threshold: Low and high thresholds for bearish trends.
Low/High Green Threshold: Low and high thresholds for bullish trends.
Indicator Display:
Options to show or hide specific indicators such as EMA 10 Monthly, CVDD, Pi Cycle, M2 Money, NUPL, PUELL, MRVR Z-Scores, and Hash Ribbons.
Specific Indicator Settings:
EMA 10 Monthly: Options to customize the period for the exponential moving average calculation.
M2 Money: Aggregation of global money supply data.
CVDD: Adjustments for value normalization.
Pi Cycle: Settings for simple and exponential moving averages.
NUPL: Thresholds for unrealized profit/loss values.
PUELL: Adjustments for mining profitability multiples.
MRVR Z-Scores: Settings for overbought/oversold values.
Hash Ribbons: Options for hash rate moving averages and capitulation/recovery signals.
## Conclusion
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The “Bitcoin Macro Trend Map” by Ox_kali is a tool designed to analyze the Bitcoin market. By combining several macroeconomic indicators, this script helps identify market peaks and troughs. It is recommended to use it on timeframes from 1 day to 1 week for optimal trend analysis. The scripts used are sourced from open-source projects, modified to suit the specific needs of this analysis.
## Notes
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This is the first version of the script and it is still in development. More indicators will likely be added in the future. Feedback and comments are welcome to improve this tool.
## Disclaimer:
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Please note that the Open Interest liquidation map is not a guarantee of future market performance and should be used in conjunction with proper risk management. Always ensure that you have a thorough understanding of the indicator’s methodology and its limitations before making any investment decisions. Additionally, past performance is not indicative of future results.
High Volume AlertThe High Volume Alert Script is developed for all traders focusing on volume analysis in their trading strategies, providing alerts for unusually high trading volumes during specified trading sessions.
Functionality:
Volume Moving Average Calculation:
Average Volume = Moving Average(Volume) = Sum of last the x last candles Volume
Where n is the user-defined period for the moving average calculation (denoted as movingaverageinput in the script. This moving average serves as the baseline to compare current volume levels against historical averages.
High Volume Detection:
HighVolume = CurrentVolume >= (MA(Volume) x HighVolumeRatio)
Here, HighVolumeRatio is a user-defined multiplier that sets the threshold for what is considered high volume. If the current volume exceeds this threshold (the product of the moving average of volume and the HighVolumeRatio ), the script identifies this as a high-volume event.
Session Filtering:
The script further refines these alerts by ensuring they only trigger during the specified trading session, enhancing relevance for traders interested in specific market hours. This session is defined by the sess and timezone parameters.
Visualisation and Alerts:
If high volume is detected (HighVolume = True), the script colors the volume bar with the highVolumeColor . If the option is selected, it also changes the color of the candlestick to either highVolumeCandleColorUp (for bullish candles) or highVolumeCandleColorDown (for bearish candles), depending on the price movement within the high-volume period. An alert is generated through the alertcondition function when high volume is detected during the specified session, notifying the trader of potentially significant market activity.
Application in Trading:
This indicator serves traders who prioritize volume as a leading indicator of potential price movement. High trading volumes may indicate the presence of significant market activity, often associated with events like news releases, market openings, or large trades, which can precede price movements.
Originality and Practicality:
This script is self-developed, aiming to fill the gap in automatic ratio adjusted volume alerts within the TradingView environment.
Conclusion:
The High Volume Alert Script is an essential tool for traders who integrate volume analysis into their strategy, offering tailored alerts and visual cues for high volume periods.
Compliance and Limitations:
The script complies with TradingView scripting standards, ensuring no lookahead bias and maintaining real-time data integrity. However, its utility depends on the availability on volume data, and please be aware that forex pairs never offer real volume data, this tool is best used with a exchange traded symbol.
RAINBOW AVERAGES - INDICATOR - (AS) - 1/3
-INTRODUCTION:
This is the first of three scripts I intend to publish using rainbow indicators. This script serves as a groundwork for the other two. It is a RAINBOW MOVING AVERAGES indicator primarily designed for trend detection. The upcoming script will also be an indicator but with overlay=false (below the chart, not on it) and will utilize RAINBOW BANDS and RAINBOW OSCILLATOR. The third script will be a strategy combining all of them.
RAINBOW moving averages can be used in various ways, but this script is mainly intended for trend analysis. It is meant to be used with overlay=true, but if the user wishes, it can be viewed below the chart. To achieve this, you need to change the code from overlay=true to false and turn off the first switch that plots the rainbow on the chart (or simply move the indicator to a new pane below). By doing this, you will be able to see how all four conditions used to detect trends work on the chart. But let's not get ahead of ourselves.
-WHAT IS IT:
In its simplest form, this indicator uses 10 moving averages colored like a rainbow. The calculation is as follows:
MA0: This is the main moving average and can be defined with the type (SMA, EMA, RMA, WMA, SINE), length, and price source. However, the second moving average (MA1) is calculated using MA0 as its source, MA2 uses MA1 as the data source, and so on, until the last one, MA9. Hence, there are 10 moving averages. The first moving average is special as all the others derive from it. This indicator has many potential uses, such as entry/exit signals, volatility indication, and stop-loss placement, but for now, we will focus on trend detection.
-TREND DETECTION:
The indicator offers four different background color options based on the user's preference:
0-NONE: No background color is applied as no trend detection tools is being used (boring)
1-CHANGE: The background color is determined by summing the changes of all 10 moving averages (from two bars). If the sum is positive and not falling, the background color is GREEN. If the sum is negative and not rising, the background color is RED. From early testing, it works well for the beginning of a movement but not so much for a lasting trend.
2-RAINBW: The background color is green when all the moving averages are in ascending order, indicating a bullish trend. It is red when all the moving averages are in descending order, indicating a bearish trend. For example, if MA1>MA2>MA3>MA4..., the background color is green. If MA1 threshold, and red indicates width < -threshold.
4-DIRECT: The background color is determined by counting the number of moving averages that are either above or below the input source. If the specified number of moving averages is above the source, the background color is green. If the specified number of moving averages is below the source, the background color is red. If all ten MAs are below the price source, the indicator will show 10, and if all ten MAs are above, it will show -10. The specific value will be set later in the settings (same for 3-TSHOLD variant). This method works well for lasting trends.
Note: If the indicator is turned into a below-chart version, all four color options can be seen as separate indicators.
-PARAMETERS - SETTINGS:
The first line is an on/off switch to plot the skittles indicator (and some info in the tooltip). The second line has already been discussed, which is the background color and the selection of the source (only used for MA0!).
The line "MA1: TYP/LEN" is where we define the parameters of MA0 (important). We choose from the types of moving averages (SMA, EMA, RMA, WMA, SINE) and set the length.
Important Note: It says MA1, but it should be MA0!.
The next line defines whether we want to smooth MA1 (which is actually MA0) and the period for smoothing. When smoothing is turned on, MA0 will be smoothed using a 3-pole super smoother. It's worth noting that although this only applies to MA0, as the other MAs are derived from it, they will also be smoothed.
In the line below, we define the type and length of MAs for MA2 (and other MAs except MA0). The same type and length are used for MA1 to MA9. It's important to remember that these values should be smaller. For example, if we set 55, it means that MA1 is the average of 55 periods of MA0, MA2 will be 55 periods of MA1, and so on. I encourage trying different combinations of MA types as it can be easily adjusted for ur type of trading. RMA looks quirky.
Moving on to the last line, we define some inputs for the background color:
TSH: The threshold value when using 3-TSHOLD-BGC. It's a good idea to change the chart to a pane below for easier adjustment. The default values are based on EURUSD-5M.
BG_DIR: The value that must be crossed or equal to the MA score if using 4-DIRECT-BGC. There are 10 MAs, so the maximum value is also 10. For example, if you set it to 9, it means that at least 9 MAs must be below/above the price for the script to detect a trend. Higher values are recommended as most of the time, this indicator oscillates either around the maximum or minimum value.
-SUMMARY OF SETTINGS:
L1 - PLOT MAs and general info tooltip
L2 - Select the source for MA0 and type of trend detection.
L3 - Set the type and length of MA0 (important).
L4 - Turn smoothing on/off for MA0 and set the period for super smoothing.
L5 - Set the type and length for the rest of the MAs.
L6 - Set values if using 4-DIRECT or 3-TSHOLD for the trend detection.
-OTHERS:
To see trend indicators, you need to turn off the plotting of MAs (first line), and then choose the variant you want for the background color. This will plot it on the chart below.
Keep in mind that M1 int settings stands for MA0 and MA2 for all of the 9 MAs left.
Yes, it may seem more complicated than it actually is. In a nutshell, these are 10 MAs, and each one after MA0 uses the previous one as its source. Plus few conditions for range detection. rest is mainly plots and colors.
There are tooltips to help you with the parameters.
I hope this will be useful to someone. If you have any ideas, feedback, or spot errors in the code, LET ME KNOW.
Stay tuned for the remaining two scripts using skittles indicators and check out my other scripts.
-ALSO:
I'm always looking for ideas for interesting indicators and strategies that I could code, so if you don't know Pinescript, just message me, and I would be glad to write your own indicator/strategy for free, obviously.
-----May the force of the market be with you, and until we meet again,
Quickfingers Luc base scanner - version 2This is my second implementation of a Pine Script Quickfingers Luc (QFL) base scanner that I have published on Trading View. QFL base scanners seek to provide buy signals according to the QFL trading strategy. To profitably trade using this script you should be familiar with the QFL trading strategy, scaling in and out of positions, and money risk management.
Background
All the QFL base identification Pine Scripts that I have inspected to date use a simple candlestick pattern of two lower lows followed by two higher lows to identify a base. Some scripts may combine this with a volume indicator as well. In practice, I found the results of this approach to be somewhat unreliable. The candlestick pattern may identify some significant bases, may identify minor bases (that should not be traded), but at the same time miss other significant bases entirely!
My first QFL base scanner sought to use Pine Script’s built in ta.lowest and ta.highest functions to identify bases and peaks. This approach depended on the time period selected to find the lowest lows and highest highs. This approach can be problematic because significant bases may be formed outside the nominated time period, leading to the identification of minor bases within the time period. I have left the first version of my QFL base scanning script in the Trading View indicators because it uses a different approach to this script that other people may still find useful.
My second version of the QFL base scanner does not use the Pine Script ta.lowest and ta.highest functions, and therefore does not rely on nominating a time period to look back through data.
User inputs
This script steps through the price data to find the following patterns that are used to confirm bases and peaks.
Base – bounce of x% above previous base confirms that base
Peak – fall of y% below previous peak confirms that peak
Buy signal – fall of z% below the base signals a buy signal.
x%, y% and z% are user configurable through the script settings. Small percentages will provide more, but riskier, buy signals; larger percentages will provide fewer, but safer, buy signals.
The script identifies QFL bases and buy signals and marks them on the price chart. These are able to be turned on and off in the script settings. The settings also allow the user to turn on plots for peaks, lowest lows and highest highs. These are not useful for applying the QFL trading strategy, but are calculations used in finding bases and can be useful for the user to understand what the script is doing in the background.
Troubleshooting
If looking at the past script results, you may think that the script is perfectly timing entry points at the bottom of market dips. This is NOT the case. The script is actually showing buy signals when the price falls z% below the PREVIOUS base. The current base is only retrospectively marked some periods later once the reversal is confirmed – a solid line marks a confirmed base in real time; a dotted line retrospectively repaints the line to the actual base. New bases are not tradeable using this script, but a percentage fall from the previous base is – this is the QFL trading strategy.
Pine Script may flag that this script has a repainting issue. Pine Script defines repainting as, “script behavior causing historical vs realtime calculations or plots to behave differently.” In the case of this script, bases are confirmed once the price has bounced x% off the low. The script then repaints a dotted line from the base that has been identified in real time (with a solid line) back to the point in the price data where the base actually occurs. The dotted line only aids in visual identification of the base, and does not impact on the real time identification of bases. A similar repainting issue occurs for identifying peaks. I have identified the lines in the script that cause this repainting. These lines can be commented out without affecting the buy signals generated by the script, but you will also lose the visual pinpointing of historical bases and peaks.
The user may find price charts where they think that the script has not correctly identified a base or peak. Usually, careful measurement will reveal that the price chart has not confirmed a base or peak by moving x% or y% from the previous base or peak respectively.
And before you ask, yes, Trading View alerts work with this script.
Enjoy.
MTFT VWAPs Auto AnchoredMulti Time Frame Tools
Multi Time Frame Tools (MTFT) is a suite of scripts aimed to establish a standard timeframe-based color scheme. This can be utilized to overlay different timeframes calculations/values over a single timeframe. As one example, this would allow to observe the 5-month moving average, 5-week moving average, and 5-day moving average overlaid over each other. This would allow to study a chart, get accustomed to the color scheme and study all these at the same time much easier.
All indicators calculated using the below specific timeframes as input, will always use the color scheme outlined below. This is to get you in habit of recognizing the different timeframes overlaid in top of each other. These can be personalized.
Longer TF analysis.
Yearly - Black
Semi-Annual - Yellow
Quarterly - White
Monthly - Maroon
Weekly - Royal Blue
Daily - Lime
Shorter TF analysis.
4 hour - Fuchsia
1 hour - Orange
30 min - Red
15 min - Brown
10 min - Purple
5 min - Lilac
All color coordination is able to be modified in either the “Inputs” or “Style” section. If you need to make changes, make sure to select “Save as Default” on the bottom right of the settings menu.
Recommended Chart Color Layout
I played around with color coordination a lot. The final product was what worked best for me. I personally use the following chart settings to accent all available TF colors.
-> Click on the settings wheel on your chart. -> Click on “Appearance”.
Background - Solid -> On the top row pick the 6th color from the left.
Vert Grid Lines and Horz Grid Lines -> On the top row pick the 7th color from the left.
You may of course change these and the indicator line colors as you like.
Adding indicator to Chart
-> Open the TradingView “Indicators & Strategies” library, the icon has “ƒx”. -> All premium scripts will be located under “Invite-Only Scripts” -> Click indicator to add to your chart.
MTFT VWAPs Auto Anchored
The Anchored Volume-Weighted Average Price, Anchored VWAP, is a commonly discussed FinTwit tool. I personally found it through Brian Shannon on Twitter. I have seen big FinTwit accounts solely focus on this strategy alone and have seen other big FinTwit accounts mix with their other indicators. I will be providing very basic info to utilize this script; it is up to you to dive deep into learning this strategy. I am not an expert with the tool or a financial advisor. As with all aspects of life, I recommend you research, learn, discern and practice extensively in order to become a master.
The script has the following features.
1. Three user selected time frames auto anchored VWAPS. It will auto anchor to the start of the timeframe. Timeframes(TF) include: Yearly(Y), Semi-annually(S), Quarterly(Q), Monthly(M), Weekly(W), Daily(D), and 4 hour. Image below shows the D candlestick as the active timeframe, the anchored VWAPs for the Year, Quarter, and Month.
2. Auto hide lower timeframe calculations. Auto Hide feature will hide smaller TF calculations when a larger timeframe is selected as the display TF. Example, when the Daily timeframe candlestick selected the Weekly and Daily Anchored VWAPs are hidden because they produce very noisy results. If a lower TF is selected such as the 30 min candlestick, the previously hidden Daily and Weekly Open Anchored VWAPs are now displayed. Notice that this specific indicator calculates different with every different timeframe that is selected. The lower TF calculations are more accurate as they include additional information. Image below shows the 30 min timeframe selected with the Daily, Weekly, and Monthly Open Anchored VWAPs displayed.
3. Auto Anchor using Pivot High/Low locations. Script finds the pivot highs/lows with a user selected look back/forward period. Additionally, as new pivot highs/lows appear you can choose to keep up to 4 each previous pivot high/low anchored VWAPs displayed. Image below has a 40 look back/forward period selected, and 2 past AVWAPs enabled.
You may notice in the above image that there is a gap between the AVWAP plot and the marked pivot point. This is not something that can be avoided as the script has to look forward in order to verify the pivot. The calculation is still correct, this can be verified by manually adding an “Anchored VWAP” drawing and seeing the values align. Image below shows that they match. White lines are the manually added “Anchored VWAP” drawings. If you verify this for yourself, make sure to select the correct input source in the settings of the drawing.
4. Auto Anchored on IPO High/Low. Looks for the first available candlestick in a chart and anchors to the high and low. This is useful with newer companies with recent IPOs.
IMPORTANT NOTE to TradingView admin: One of the lessons I would consider most important in attaining clarity regarding trading, is “TheStrat” by Rob Smith. His lesson on “actionable signals” is something that can be applied to any strategy. For this reason, I am including “MTFT TheStrat Patterns Pro” script in all images that will depict confluence for a better trade selection.
Example using TheStrat Pro MTFT with this indicator.
Look for a “TheStrat actionable signal” or a “TheStrat Reversal signal” on a smaller timeframe that has an instance of this indicator on a larger timeframe calculation that is in range of the candlestick that formed your actionable signal. This means that the indicators plot you are observing must be above the low and below the high of the candlestick that is the actionable signal/reversal signal.
The Image below shows what this would look like with this indicator. The selected candlestick is the 2-day, it shows a 1-3-1 pattern and the Quarter Anchored VWAP in range. This actionable signal could be played in both directions. If the high is breached, you would enter a long position from the high of the inside candlestick. If the low is breached than you would enter a short. For targets you would look at the previous pivots, for this example all targets were hit. Note that the “Entry” and “Targets” line were added manually and are not part of the script. Setups won’t always play out so nice and clean, but given that there is so many stocks and so many signals this is just a thought to improve the quality of the signal as it has extra confluence. If you are interested in learning further, research ‘TheStrat’ by Rob Smith.
MTFT EMA CloudsMulti Time Frame Tools
Multi Time Frame Tools (MTFT) is a suite of scripts aimed to establish a standard timeframe-based color scheme. This can be utilized to overlay different timeframes calculations/values over a single timeframe. As one example, this would allow to observe the 5-month moving average, 5-week moving average, and 5-day moving average overlaid over each other. This would allow to study a chart, get accustomed to the color scheme and study all these at the same time much easier.
All indicators calculated using the below specific timeframes as input, will always use the color scheme outlined below. This is to get you in habit of recognizing the different timeframes overlaid in top of each other. These can be personalized.
Longer TF analysis.
Yearly - Black
Semi-Annual - Yellow
Quarterly - White
Monthly - Maroon
Weekly - Royal Blue
Daily - Lime
Shorter TF analysis.
4 hour - Fuchsia
1 hour - Orange
30 min - Red
15 min - Brown
10 min - Purple
5 min - Lilac
All color coordination is able to be modified in either the “Inputs” or “Style” section. If you need to make changes, make sure to select “Save as Default” on the bottom right of the settings menu.
Recommended Chart Color Layout
I played around with color coordination a lot. The final product was what worked best for me. I personally use the following chart settings to accent all available TF colors.
-> Click on the settings wheel on your chart. -> Click on “Appearance”.
Background - Solid -> On the top row pick the 6th color from the left.
Vert Grid Lines and Horz Grid Lines -> On the top row pick the 7th color from the left.
You may of course change these and the indicator line colors as you like.
Adding indicator to Chart
-> Open the TradingView “Indicators & Strategies” library, the icon has “ƒx”. -> All premium scripts will be located under “Invite-Only Scripts” -> Click indicator to add to your chart.
*** MTFT EMA Clouds ***
The Exponential Moving Average Clouds, EMA Clouds, is a commonly discussed FinTwit tool. I personally found it through Ripster47 and PatternProfits on Twitter. I have seen big FinTwit accounts solely focus on this strategy alone and have seen other big FinTwit accounts mix with their other indicators. I will be providing very basic info to utilize this script; it is up to you to dive deep into learning this strategy. I am not an expert with the tool or a financial advisor. As with all aspects of life, I recommend you research, learn, discern and practice extensively in order to become a master.
The script has the following features.
1. Two user selected timeframes(TF) per script instance. Timeframes include: Quarter, Month, Weekly, Daily, 4 hour, 1 hour, 30 min, 15 min, 10 min, and 5 min candlestick data.
2. Five Unique Clouds per selected timeframe can each be individually enabled/disabled. Cloud pairs include: 5&13, 8&9, 34&50, 72&89, and 180&200.
Below are some examples of how switching between multiple TF’s could assist you in identifying patterns and resistance/support easier. Below are 4 different timeframe EMA Clouds plotted over similar areas. What supports/resistances do you see?
Weekly timeframe selected with Quarterly Clouds
Weekly timeframe selected with Monthly Clouds
Daily timeframe selected with Weekly Clouds
1-hour timeframe selected with Daily Clouds.
This is meant to show you that the EMA Clouds often serve as resistance/support on multiple timeframes.
3. Force a specific cloud on both selected timeframes. Maybe you want to see how one cloud on several TFs looks over the same chart. Here I added two instances of the script in order to show 4 different TF clouds (Q, M, W, and D). Then I selected the “8_9” on “Force single cloud” for each instance, which will force only the selected cloud to be forced on all the selected time frames.
IMPORTANT NOTE: One of the lessons I would consider most important in attaining clarity regarding trading, is “TheStrat” by Rob Smith. His lesson on “actionable signals” is something that can be applied to any strategy. For this reason, I am including “MTFT TheStrat Patterns Pro” script in all images that will depict confluence for a better trade selection.
Example using TheStrat Pro MTFT with this indicator.
Look for a “TheStrat actionable signal” or a “TheStrat Reversal signal” on a smaller timeframe that has an instance of this indicator on a larger timeframe calculation that is in range of the candlestick that formed your actionable signal. This means that the indicators plot you are observing must be above the low and below the high of the candlestick that is the actionable signal/reversal signal. Image below shows what this would look like with this indicator.
The Image below shows what this would look like with this indicator. The selected candlestick is the Weekly, it shows a hammer actionable signal and the Monthly 34 EMA in range. This actionable signal is meant to be played in a long position. If the high is breached, you would enter a long position from the high of the hammer candlestick. For targets you would look at the previous pivots, for this example all targets were hit. Note that the “Entry” and “Targets” line were added manually and are not part of the script. Setups won’t always play out so nice and clean, but given that there is so many stocks and so many signals this is just a thought to improve the quality of the signal as it has extra confluence. If you are interested in learning further, research ‘TheStrat’ by Rob Smith.
Harmonic Patterns ProHello All,
We need to make things better & better to solve the puzzle and I try to do my best on this way for the community. now I am here with my Harmonic Patterns Pro script.
Harmonic Pattern recognition is the basic and primary ability any trader develops in technical analysis. Harmonic pattern recognition takes extensive practice and repetitive exposure. in general chart patterns are categorized into “continuous” and “reversal” patterns. Harmonic patterns construct geometric pattern structures using Fibonacci sequences. These harmonic structures identified as specified harmonic patterns provide unique opportunities for traders, such as potential price movements and key turning or trend reversal points. This script is developed to find following patterns by using the options you set. I have to say that this is not a strategy and you should not use this script blindly, instead, I strongly recommend you to create your own strategy using this script with other tools/indicators, such moving averages, Support/Resistance levels, volume indicators, sentiment indicators etc.
- Following Harmonic Patterns are available in this version:
-->Gartley
-->Butterfly
-->Bat
-->Crab
-->Shark
-->Cypher
-->Alternate Bat
-->Deep Crab
-->5-0
-->3-Drive
-->AB=CD
-->Descending Triangle
-->Ascending Triangle
-->Symmetrical Triangle
-->Double Top
-->Double Bottom
How the script works and finds harmonic patterns:
- It uses zigzag like other harmonic pattern script but there is a difference. this scripts searches up to 200 bars, finds/creates up to 200 XABCD using zigzag waves and searches predefined harmonic patterns
- It can find multiple harmonic patterns on a candles with different sizes and lengths
- Each pattern is shown using its own color (you can set 8 different colors)
- it shows Entry, Target1, Target2 and Stop-loss levels for each found Patterns
- It shows pattern validation zones for each found pattern
- it has all-in-one alerts. you set the alerts you want in the indicator options and you create only 1 alert for each symbol.
- it has prediction future and it can show many predicted patterns at the same time, each predicted patterns validations zones are shown separately
- While on real-time bar it searches and shows patterns for the visible area
it has followng alerts: . these in all-in-one alerts. it means that you choose the alerts in the options and enables any of them and then create only one for each symbol. and you get eany alert you choose. (" Any alert() function call "). in this version "Any alert() function call" alert is only alert you can use, if I get some requests I can try to other alerts as well.
New Pattern Found
Pattern Updated
Entered Position
Reached Target
Stop-loss
Validation zone is calculated using XABC points any pattern by using Y-Axis error rate. so if you increase Y-Axis error rate then the script can find much more Harmonic patterns.
X-Axis Error Rate is used for a few pattern such AB=CD for the distance of AB wave and CD wave.
The script can show Recommended Entry, Target 1, Target 2 and stop-loss levels for each active patterns. of course you can use these levels or you can set your own levels. you can see the screenshot below.
The script can show statistics panel. when statistic panel is enabled then no pattern is shown on the chart, the script shows ONLY statistics panel. This was done because of complexity of the script.
If you enables Prediction then pattern checks all possible XABC formations in the last 200 bars and finds/shows predicted patterns if there is any.
if you "replaying" then the script searches patterns only for last bar (if any update on zigzag on last bar), not for historical ones. you should take care while you use "Replay" feature of Tradingview
Now lets see the options:
Minimum ZigZag Period: this is minimum Zigzag Period to create new Zigzag wave. default value is 10 and minimum value is 4
Y-Axis Error Rate %: this is the error rate to create validation zones for each pattern, there is almost no perfect pattern, so we try to create a zone using error rate
X-Axis Error Rate % : this is used for a few pattern (such AB=CD) to check wave lengths on time basis
Minimum Pattern Length: This is Minimum Length for the Patterns to be searched. in Number of Bars
Maximum Pattern Length : This is Maximum Lengths for the Patterns to be searched. in Number of Bars
Max Number of XABCD to search: Maximum Number of ABCD to search pattern on each move, there are many possible XABCDs on the chart, this limitation is the number for how many of them will be searched
Find Patterns for: is the option about taking position. there are three options: "Long and Short", "Only Long", "Only Short"
Max Patterns on Each Bar: Maximum Number of Patterns that can be found on each bar, by default it's 3
Keep Pattern Until: you have two option "Target1" and "Target2". when a pattern found and if it reach any of these targets it is accepted as it's reached target and removed. this is also used inthe statictics panel!
Show Recommended Entries & Targets: if enabled then the script can show "Recommended" Entry, target1, target2 and stop-loss leves. you can use these levels or you can use your own calculation for each pattern
Entry = % of Target 2 : Entry Level for each pattern is calculated using the distance between D positon of the pattern and target 2. by default it's 16%, you can set it as you wish
Entry&Target Line Style: you can set line style for entry/target/stop-loss levels
Show Pattern Validation Zones: as explained above, for each pattern validation zone is created using error rate (Y-axis error rate). you can see it for each pattern
Source for Invalidation: this source is used for validation zones. there is two options: Close or High/Low. this source is used while invalidated the pattern. by default it used "close" price as source
Line Style: this is line style for validation zones, solid, dashed or dotted
Pattern Prediction/Possible Patterns: if you enable this option then the script calculates/searches possbile patterns and shows their levels in a label if there is one or more
Show Label & Zone: this is about how you want to see predictions, there are two choices: "Show Only Label", "Show Label & Zone"
Show Statistics Panel : if you enable this option then the script starts searching all harmonic patterns from the first bar for the last bar and keeps statistics for all of them and the shows in a table. you can see screenshot below
Panel Position: you can set panel location of statistics panel using this option
Show Rates Between Waves: if you enable this option then rate between the waves are shown. by default it's enabled
Keep Last Pattern on the Chart : if you enable this option then even if pattern is invalidated/reach target/stop-loss it stays on the chart until new pattern is found. by default it's enabled
Line Style : line style for the last pattern on the chart
Patterns to Search: you have options to enable/disable the patterns listed above to find&show, you can enable/disable any pattern in the list. by default all patterns are enabled except AB=CD pattern
in the ALERTS menu you have many options to enable/disable the alerts you want. Alerts contain Symbol name, Pattern name, Direction as Long/Short, Recommended Entry, Targets, SL levels.
- New Pattern Found
- Pattern Updated
- Entered Position
- Reached Target
- Stop-loss
Show Zig Zag: if you want to see Zig Zag then you should enable this option, and you can set the colors for the Zig zag. by default it's disabled.
and some other options for coloring and line styles of the patterns..
This is how XABCD points found using zigzag waves, I tried to explain it in the video below:
Validation zones and Entry, Target1, Target2 and Stop-loss levels:
Each pattern has its own color, you can see which levels, letters, lines etc belongs to which pattern:
Pattern prediction: you can enable it and change its background color:
How Statistics panel looks like. if there is active pattern then it's shown in different color in the table
This screenshot shows how the script finds and shows multiple patterns on a candle:
And some examples for triangles and Double top/bottom patterns:
Symmetrical triangle:
Ascending triangle:
Double bottom
and many others..
While using different time frames the script can find same patterns, in the following screenshots you can see how same patterns found on 5 and 10 min chart. of course this depends on the Zigzag Period
in this video, the idea and the indicator options is explained:
I can say that this is very complex script and it takes very long time to develop. I used my all programming ability and Pine ability to develop it. I hope you like it and make a lot of profit.
DISCLAIMER: No sharing, copying, reselling, modifying, or any other forms of use are authorized for the documents, script / strategy, and the information published with them. This informational planning script / strategy is strictly for individual use and educational purposes only. This is not financial or investment advice. Investments are always made at your own risk and are based on your personal judgement. I am not responsible for any losses you may incur. Please invest wisely.
Enjoy!
Dankland Playground Moneymaker - V2“version 2” of my playground bot script. Its essentially a powerhouse suite of strategies. Although it is similar to the previous script, it nets different results as sections have been changed. Such as the somewhat reluctant removal of the Chande Momentum... The RSIs have also been updated, this was one of the main changes. RSIS now include a Moving Average cross of RSI to generate signals above and below the given thresholds instead of simply on crossing a threshold. This should give greater functionality overall. Most functions including Moving Averages have been updated to include a wider range of kinds of moving averages. This includes not just the moving average cross, but MACD and RSIs as well. I tried to perform the same upgrade on the %B, Stochastics and SMI, but hit the unpacked code limit of 60,000 lines... So, more “versions” will have to come for future “upgrades”, with the recognition that there will be cases where the old, “downgraded” versions may perform better and that some people (like myself) may continue to use them on some markets until I/we devise superior settings on the new ones for said markets. For instance, instead of replacing my 1 hr BTCUSD bot (where I used the now deleted Chande to pretty pleasing affect...) I made a new one for LINKUSD 10 min so I can have both running for now and work on replacing the BTCUSD later.
How it works basically is this... you have 16 oscillators which can all be used as independently as you wish. They can be split up into different groups or ran all together.
When in separate groups they should not be able to sell eachothers positions without triggering a full stop loss by turning the Independence/Stop All switches on. Every single oscillator has its own entry and exit position sizing which can be stated as either a percent of balance or a flat amount of contracts (or both combined). Each oscillator has a minimum amount of profit you can tell it to sell it, which is calculated from the average cost of your current position, which does include all groups. This works out to help you average out better entry and exit prices, essentially a method of DCAing.
You can set the minimum sale amount, which is to keep it from placing orders below your exchanges minimum dollar trade cost.
All this functionality combined also ensures more accurate back tests by ensuring that the script simply cannot spend money it doesn't see as in the balance, whereas other scripts will use a percentage of equity, and once 100% of your equity is in BTC for instance, it will keep buying more BTC for free and thus spoof up backtest numbers. If you look through the strategies here, many people claim to have amazing scripts and then you look into it and this is happening and skewing their numbers. These people are either very ignorant or what they made or scam artists and trolls in my opinion.
This version also includes On Bar Close switches for each oscillator. When switched on, signals are only allowed to generate on Bar Close. This helps to prevent retriggering from live signals, which when you are running this many oscillators, will become a problem! However, in most cases, you do not need to generate signals intrabar, as backtests will show, ignoring intrabar buys and sells (intrabar stop losses can still be very important though!) won't exactly keep you from high profitability strategies, but rather, allowing elements of chaos from live indicators moving up and down intrabar will, in fact, drift your actual results further and further from the backtest. You want an accurate backtest though. So choose wisely when you turn these off and you will do better.
The included oscillators are as follows:
NO MORE Chande Momentum cross – REMOVED – I was hitting PINE code limits here so I had to make choices and this one simply had to go. Begone!
Moving Average Cross
MACD cross
%B Bollinger cross
Stochastic cross + region filter
Stochastic RSI cross + region filter
SMII cross and region filter
Three RMIs
Know-Sure-Thing line-cross
Coppock Curve line-cross
TRIX line-cross
RSI of MA w/ MA cross
RSI of MA of KST w/ MA cross
RSI of MA of Coppock Curve w/ MA cross
RSI of MA of Trix w/ MA cross
So the idea is that this is essentially multiple strategies combined into one backtestable house. Balance is calculated for all position sizes in order to try to prevent false entries that plague so many scripts (IE, you set pyramiding to 2, each buy $1000, initial balance $1000, and yet it buys two orders off the bat for $2000 total and nets 400% profit because the second was considered free, happens on 90+% of scripts on Tradingview if you aren't very very careful!)
You tune each indicator and position size them so that they work together as well as you can and in doing so you are able to create a single backtest that is capable of running a bot, essentially, between multiple strategies - you can run a slower Moving Average cross, a faster SMI cross or MACD , or Bollinger that grabs big moves only, all the while having MACD trade small bonuses along the way. This way you can weight the Risk to Reward of each against eachother.
I will not try to claim this is something you can open and with no work have the best bot on the planet. This scripts intention is to take a lot of relatively common trading strategies and combine them under on roof with some risk management and the ability to weigh each against eachother.
If you are looking for a super advanced singular algorithm that tries to capture every peak and valley exactly on the dot, this is not for you. If you are looking for a tool with a high level of customizability, with a publisher who intends to update it to the best of his ability in accordance to seeking to make the best product that I personally can make for both myself and the community (because I will be using this myself of course!) that was specifically designed with the intention of performing well in spot markets by averaging low entry costs and high exit costs, this is for you! That is the exact intention here. It can certainly work with margin, but you will have to take extra care in setting your stop losses. I intend to make a version capable of going short which will be included as part of the package. It may take some work to keep all of the risk management working as well for shorts though. There will be more scripts added to the “package” as I hit the limit on this one a few times and have had to keep some ideas out already.
The current backtest shown is hand-optimized by myself for Link /USD 10min market (Binance US – shouldn't need much work to fit to other exchange markets) with multiple stop losses.
Trend WaveHello Traders!
You know, I can sill remember the first time I started tinkering with Pinescript. As I had no prior programming experience, I learned by experimenting with other open-source scripts on TradingViews Marketplace. Tearing apart and combining interesting scripts to see what the output would be. @ChrisMoody was a huge source of inspiration for learning, and I wanted to thank him, as well as @TheLark for the concept behind this script.
The Trend Wave is based on @ChrisMoody's PPO-PercentileRank-Mkt-Tops-Bottoms , which also happens to be based on @TheLark's TheLark-Laguerre-PPO/ .
Within my experimentation, I found that if I isolate the ppoT & ppoB variables and plot them calculated from extremely small decimals, you can get an extremely fast reacting, mirroring trend detector.
Within the script, you have the ability to plot the background colors based on trend to make it easier to see where crossovers occured, as well as a Mirror Input to view the mirrored version of the script.
-@DayTradingOil
Total Trend Follow Strategy with Pyramid and DCA
Introduction
This is a Pine 4 trend following strategy. It has a twin study with several alerts. The design intent is to produce a commercial grade signal generator that can be adapted to any symbol and interval. Ideally, the script is reliable enough to be the basis of an automated trading system web-hooked to a server with API access to crypto, forex and stock brokerages. The strategy can be run in three different modes: long, short and bidirectional.
As a trend following strategy, the behavior of the script is to buy on strength and sell on weakness. As such the trade orders maintain its directional bias according to price pressure. What you will see on the chart is long positions on the left side of the mountain and short on the right. Long and short positions are not intermingled as long as there exists a detectable trend. This is extremely beneficial feature in long running bull or bear markets. The script uses multiple setups to avoid the situation where you got in on the trend, took a small profit but couldn’t get back in because the logic is waiting for a pullback or some other intricate condition.
Deep draw-downs are a characteristic of trend following systems and this system is no different. However, this script makes use of the TradingView pyramid feature accessible from the properties tab. Additional trades can be placed in the draw-down space increasing the position size and thereby increasing the profit or loss when the position finally closes. Each individual add on trade increases its order size as a multiple of its pyramid level. This makes it easy to comply with NFA FIFO Rule 2-43(b) if the trades are executed here in America. The inputs dialog box contains various settings to adjust where the add on trades show up, under what circumstances and how frequent if at all. Please be advised that pyramiding is an advanced feature and can wipe out your account capital if your not careful. During the backtest use modest setting with realistic capital until you discover what you think you can handle.
In addition to pyramiding this script employs DCA which enables users to experiment with loss recovery techniques. This is another advanced feature which can increase the order size on new trades in response to stopped out or winning streak trades. The script keeps track of debt incurred from losing trades. When the debt is recovered the order size returns to the base amount specified in the TV properties tab. The inputs for this feature include a limiter to prevent your account from depleting capital during runaway markets. The main difference between DCA and pyramids is that this implementation of DCA applies to new trades while pyramids affect open positions. DCA is a popular feature in crypto trading but can leave you with large “bags” if your not careful. In other markets, especially margin trading, you’ll need a well funded account and much experience.
Consecutive loss limit can be set to report a breach of the threshold value. Every stop hit beyond this limit will be reported on a version 4 label above the bar where the stop is hit. Use the location of the labels along with the summary report tally to improve the adaptability of system. Don’t simply fit the chart. A good trading system should adapt to ever changing market conditions. On the study version the consecutive loss limit can be used to halt live trading on the broker side (Managed manually).
Design
This script uses nine indicators on two time frames. The chart (primary) interval and one higher time frame which is based on the primary. The higher time frame identifies the trend for which the primary will trade. I’ve tried to keep the higher time frame around five times greater than the primary. The original trading algorithms are a port from a much larger program on another trading platform. I’ve converted some of the statistical functions to use standard indicators available on TradingView. The setups make heavy use of the Hull Moving Average in conjunction with EMAs that form the Bill Williams Alligator as described in his book “New Trading Dimensions” Chapter 3. Lag between the Hull and the EMAs form the basis of the entry and exit points. The alligator itself is used to identify the trend main body.
The entire script is around 1700 lines of Pine code which is the maximum incidental size given the TradingView limits: local scopes, run-time duration and compile time. I’ve been working on this script for over a year and have tested it on various instruments stocks, forex and crypto. It performs well on higher liquidity markets that have at least a year of historical data. Though it can be configured to work on any interval between 5 minutes and 1 day, trend trading is generally a longer term paradigm. For day trading the 10 to 15 minute interval will allow you to catch momentum breakouts. For intraweek trades 30 minutes to 1 hour should give you a trade every other a day. Four hours and above are for seasoned deep pocket traders. Originally, this script contained both range trading and trend following logic but had to be broken into separate scripts due to the aforementioned limitations.
Inputs to the script use cone centric measurements in effort to avoid exposing adjustments to the various internal indicators. The goal was to keep the inputs relevant to the actual trade entry and exit locations as opposed to a series of MA input values and the like. As a result the strategy exposes over 50 inputs grouped into long or short sections. Inputs are available for the usual minimum profit and stop-loss as well as safeguards, trade frequency, DCA, modes, presets, reports and lots of calibrations. The inputs are numerous, I’m aware. Unfortunately, at this time, TradingView does not offer any other method to get data in the script. The usual initialization files such as cnf, cfg, ini, json and xml files are currently unsupported.
Example configurations for various instruments along with a detailed PDF user manual is available.
Indicator Repainting And Anomalies
Indicator repainting is an industry wide problem which mainly occurs when you mix backtest data with real-time data. It doesn't matter which platform you use some form of this condition will manifest itself on your chart over time. The critical aspect being whether live trades on your broker’s account continue to match your TradingView study. Since this trading system is featured as two separate scripts, indicator repainting is addressed in the study version. The strategy (this script) is intended to be used on historical data to determine the appropriate trading inputs to apply in the study. As such, the higher time frame of this strategy will indeed repaint. Please do not attempt to trade from the strategy. Please see the study version for more information.
One issue that comes up when comparing the strategy with the study is that the strategy trades show on the chart one bar later than the study. This problem is due to the fact that “strategy.entry()” and “strategy_exit()” do not execute on the same bar called. The study, on the other hand, has no such limitation since there are no position routines. However, alerts that are subsequently fired off when triggered in the study are dispatched from the TradingView servers one bar later from the study plot. Therefore the alert you actually receive on your cell phone matches the strategy plot but is one bar later than the study plot. A lot can happen in four hours if you are trading off a 240 bar.
Please be aware that the data source matters. Cryptocurrency has no central tick repository so each exchange supplies TradingView its feed. Even though it is the same symbol the quality of the data and subsequently the bars that are supplied to the chart varies with the exchange. This script will absolutely produce different results on different data feeds of the same symbol. Be sure to backtest this script on the same data you intend to receive alerts for. Any example settings I share with you will always have the exchange name used to generate the test results.
Usage
The following steps provide a very brief set of instructions that will get you started but will most certainly not produce the best backtest. A trading system that you are willing to risk your hard earned capital will require a well crafted configuration that involves time, expertise and clearly defined goals. As previously mentioned, I have several example configs that I use for my own trading that I can share with you along with a PDF which describes each input in detail. To get hands on experience in setting up your own symbol from scratch please follow the steps below.
The input dialog box contains over 50 inputs separated into seven sections. Each section is identified as such with a makeshift separator input. There are three main areas that must to be configured: long side, short side and settings that apply to both. The rest of the inputs apply to pyramids, DCA, reporting and calibrations. The following steps address these three main areas only. You will need to get your backtest in the black before moving on to the more advanced features
Step 1. Setup the Base currency and order size in the properties tab.
Step 2. Select the calculation presets in the Instrument Type field.
Step 3. Select “No Trade” in the Trading Mode field.
Step 4. Select the Histogram indicator from section 3. You will be experimenting with different ones so it doesn’t matter which one you try first.
Step 5. Turn on Show Markers in Section 3.
Step 6. Go to the chart and checkout where the markers show up. Blue is up and red is down. Long trades show up along the blue markers and short trades on the red.
Step 7. Make adjustments to Base To Vertex and Vertex To Base net change and roc in section 3. Use these fields to move the markers to where you want trades to be. Blue is long and red is short.
Step 8. Try a different indicator from section 3 and repeat Step 7 until you find the best match for this instrument on this interval. This step is complete when the Vertex settings and indicator combination produce the most favorable results.
Step 9. Turn off Show Markers in Section 3.
Step 10. Enable the Symmetrical and Deviation calculation models at the top of section 5 and 6 (Symmetrical, Deviation).
Step 11. Put in your Minimum Profit and Stop Loss in the first section. This is in pips or currency basis points (chart right side scale)
Step 12. Return to step 3 and select a Trading Mode (Long, Short, BiDir, Flip Flop). If you are planning to trade bidirectionally its best to configure long first then short. Combine them with BiDir or Flip Flop after setting up both sides of the trade individually.
Step 13. Trades should be showing on the chart.
Step 14. Make adjustments to the Vertex fields in section 3 until the TradingView performance report is showing a profit.
Step 15. Change indicators and repeat step 14. Pick the best indicator.
Step 16. Use the check boxes in sections 5 and 6 to improve the performance of each side.
Step 17. Try adding the Correlation calculation model to either side. This model can sometimes produce a negative result but can be improved by enabling “Adhere To Markers” or “Narrow Correlation Scope” in the sections 5 and 6.
Step 18. Enable the reporting conditions in section 7. Look for long runs of consecutive losses or high debt sequences. These are indications that your trading system cannot withstand sudden changes in market sentiment.
Step 19. Examine the chart and see that trades are being placed in accordance with your desired trading model.
Step 20. Apply the backtest settings to the study version and perform forward testing.
This script is open for beta testing. After successful beta test it will become a commercial application available by subscription only. I’ve invested quite a lot of time and effort into making this the best possible signal generator for all of the instruments I intend to trade. I certainly welcome any suggestions for improvements. Thank you all in advance.
™TradeChartist Fib Extensions™TradeChartist Fib Extensions is a free to use script that helps traders plot Fibonacci Extensions on chart. Even though Trading View has a Fib extensions tool, some traders may prefer a plotting script like this with Fib plot lines extending across the whole of the chart to track historic prices in relation to Fib extensions drawn.
----To draw Fib extensions for uptrend ,
1. Choose a Pivot Low point (LL or a HL) as Pivot 1
2. Choose a Pivot High point (must be higher than Pivot 1) as Pivot 2
3. Choose a Pivot Low point (must be lower than Pivot 2, must be Higher than Pivot 1)
----To draw Fib extensions for downtrend,
1. Choose a Pivot High point (HH or a LH) as Pivot 1
2. Choose a Pivot Low point (must be lower than Pivot 1) as Pivot 2
3. Choose a Pivot High point (must be higher than Pivot 2 and lower than Pivot 1)
Negative extensions of -23.6% and -61.8% fib plots may be useful for some to spot reversals or to set stop losses.
Higher levels can be used if price goes beyond 161.8%
This is a free to use indicator. Give a thumbs up or leave a comment if you like the script
Check my 'Scripts' page to see other published scripts. Get in touch with me if you would like access to my invite-only scripts for a trial before deciding on a paid access for a period of your choice. Half-Yearly, Annual and Lifetime access available on invite-only scripts along with 1hr Team Viewer intro session.
™TradeChartist Fibonacci Plotter™TradeChartist Fibonacci Plotter is a free and easy to use script to plot Fibonacci levels, 20 EMA (20 period Exponential Moving Average) and Pivot Highs/Lows on any time frame chart on any assets like Stocks, Forex, Commodities, Cryptocurrencies etc.
Fibonacci Levels can be plotted using the following options from settings.
1. Lookback type - Candles
Calculates the High and Low price of the user input number of Candles back (100 default) and plots Fibonacci Levels based on the calculated High and Low for the number of candles in the past from the current candle
2. Lookback type - Days
Calculates the High and Low price of the user input number of Days back (100 default) and plots Fibonacci Levels based on the calculated High and Low for the number of days in the past from the day of the current bar. The levels stay intact on any time frame as long as no new Highs or Lows are formed.
3. Manual Price Input
Plots Fibonacci Levels based on the user specified High and Low Price in the settings input screen. The levels stay intact on any time frame irrespective of new Highs or Lows being formed. Using this option and activating higher Fibonacci Levels like 1.272, 1.414 and 1.618 will enable the trader to keep the Levels intact and set alerts based on static higher levels for trade execution when price crosses beyond 100% retracement. On the other two lookback types, higher levels when activated will move dynamically based on new highs or lows being formed and price will never go beyond 100% level.
Example of Manual Price Input for GBP-USD on 1hr chart with higher levels is shown below:
Also the levels can be reversed by checking "Reverse Fibonacci Levels" from settings (Off by Default)
In addition to the Fibonacci plot, 20 period EMA (On by Default) and Pivot Highs/Lows (On by Default) are coded into the script as optional extras as both of these indicators will help make an informed decision in making trade decisions using Fibonacci Levels.
This is a free to use indicator. Give a thumbs up or leave a comment if you like the script
Check my 'Scripts' page to see other published scripts. Get in touch with me if you would like access to my invite-only scripts for a trial before deciding on a paid access for a period of your choice. Monthly, Quarterly, Half-Yearly and 1 Year access available on invite-only scripts along with 1hr Team Viewer intro session.
Price Action Key Level Break & Retest — Instant ReversalThis script identifies high-confidence support and resistance levels using pivot points and multi-step retest confirmation. It helps traders detect reliable breakout and reversal zones using price action.
How It Works:
1. The script scans for pivot highs and lows on the chart to identify potential key levels.
2. Each level is monitored for multiple retests (configurable by the user). The more a level is tested and holds, the stronger it becomes.
3. When price interacts with a key level:
o A Support signal occurs if the level acts as support after multiple retests.
o A Resistance signal occurs if the level acts as resistance after multiple retests.
o If a signal fails (price breaks the level), an opposite signal is automatically placed at the breach point.
4. Optional volume filter validates the strength of moves, reducing false signals.
5. Horizontal Line Visualization: Support and Resistance signals are represented by drawing manually horizontal lines, which remain on the chart regardless of scrolling, zooming, or candle compression and helps traders to identify the breakout of key levels
Example:
• Suppose a stock forms a pivot low at ₹1,000.
• Price retraces and touches ₹1,000 two to three times, holding each time — the level is confirmed as strong support.
• The script places a buy line at ₹1,000.
• If price breaks below ₹1,000 after holding it for multiple retests, the script automatically generates a Resistance Signal at the breach point, signaling a potential trend reversal.
• That Resistance Signal act as Resistance level throughout. if such Resistance level breaks out above, it act as Support level and vice versa
• This allows traders to react adaptively, entering trades based on confirmed support or resistance while managing risk.
Why It’s Useful:
• Focuses on multi-retest confirmation rather than single touch points, reducing false signals.
• To draw horizontal lines on key levels, providing clear visualization of key levels without clutter.
• Integrates adaptive breach signals, so traders can respond when levels fail.
• Suitable for swing, intraday, and trend-following strategies.
How to Use:
1. Apply the script to any timeframe.
2. Configure pivot detection length and maximum retests to match trading style.
3. Enable the optional volume filter for stronger signal validation.
4. Monitor the horizontal lines for Support/Resistance signals and opposite signals at breaches.
5. Combine with other technical analysis if desired.
Concepts Behind the Script:
• Pivot-based support and resistance
• Multi-retest validation for stronger levels
• Adaptive opposite signals for failed levels
• Volume-based confirmation for reliability
• Horizontal line visualization for easy tracking
Key Features:
Horizontal Lines visualization: Support and Resistance levels remain on the chart permanently, providing constant visual reference.
Multi-Timeframe Compatible: Can be applied on any timeframe; lines and breach logic adjust automatically.
Optional Noise Filters: Volume and retest filters improve signal reliability.
Why It’s Worth Paying:
• Uses multi-retest confirmation to reduce false signals compared to standard support/resistance scripts.
• Provides adaptive opposite signals for failed levels — giving traders an actionable edge.
• Visualizes key levels as fixed horizontal lines, helping traders track trends clearly.
• Works across multiple timeframes — suitable for intraday, swing, or trend-following strategies.
How to Request Access:
This script is invite-only on TradingView. To get access:
1. DM me on TradingView with your username.
2. Access is granted individually to ensure proper use and avoid unauthorized sharing.
3. Once approved, you can apply the script to your charts immediately and benefit from high-confidence level detection.
Disclaimer:
Trading involves risk. Signals are based on historical price action and should be used alongside other technical analysis and risk management strategies.
Past performance does not guarantee future results. This is an analytical tool; it does not provide investment advice.
Watermark with dynamic variables [BM]█ OVERVIEW
This indicator allows users to add highly customizable watermark messages to their charts. Perfect for branding, annotation, or displaying dynamic chart information, this script offers advanced customization options including dynamic variables, text formatting, and flexible positioning.
█ CONCEPTS
Watermarks are overlay messages on charts. This script introduces placeholders — special keywords wrapped in % signs — that dynamically replace themselves with chart-related data. These watermarks can enhance charts with context, timestamps, or branding.
█ FEATURES
Dynamic Variables : Replace placeholders with real-time data such as bar index, timestamps, and more.
Advanced Customization : Modify text size, color, background, and alignment.
Multiple Messages : Add up to four independent messages per group, with two groups supported (A and B).
Positioning Options : Place watermarks anywhere on the chart using predefined locations.
Timezone Support : Display timestamps in a preferred timezone with customizable formats.
█ INPUTS
The script offers comprehensive input options for customization. Each Watermark (A and B) contains identical inputs for configuration.
Watermark settings are divided into two levels:
Watermark-Level Settings
These settings apply to the entire watermark group (A/B):
Show Watermark: Toggle the visibility of the watermark group on the chart.
Position: Choose where the watermark group is displayed on the chart.
Reverse Line Order: Enable to reverse the order of the lines displayed in Watermark A.
Message-Level Settings
Each watermark contains up to four configurable messages. These messages can be independently customized with the following options:
Message Content: Enter the custom text to be displayed. You can include placeholders for dynamic data.
Text Size: Select from predefined sizes (Tiny, Small, Normal, Large, Huge) or specify a custom size.
Text Alignment and Colors:
- Adjust the alignment of the text (Left, Center, Right).
- Set text and background colors for better visibility.
Format Time: Enable time formatting for this watermark message and configure the format and timezone. The settings for each message include message content, text size, alignment, and more. Please refer to Formatting dates and times for more details on valid formatting tokens.
█ PLACEHOLDERS
Placeholders are special keywords surrounded by % signs, which the script dynamically replaces with specific chart-related data. These placeholders allow users to insert dynamic content, such as bar information or timestamps, into watermark messages.
Below is the complete list of currently available placeholders:
bar_index , barstate.isconfirmed , barstate.isfirst , barstate.ishistory , barstate.islast , barstate.islastconfirmedhistory , barstate.isnew , barstate.isrealtime , chart.is_heikinashi , chart.is_kagi , chart.is_linebreak , chart.is_pnf , chart.is_range , chart.is_renko , chart.is_standard , chart.left_visible_bar_time , chart.right_visible_bar_time , close , dayofmonth , dayofweek , dividends.future_amount , dividends.future_ex_date , dividends.future_pay_date , earnings.future_eps , earnings.future_period_end_time , earnings.future_revenue , earnings.future_time , high , hl2 , hlc3 , hlcc4 , hour , last_bar_index , last_bar_time , low , minute , month , ohlc4 , open , second , session.isfirstbar , session.isfirstbar_regular , session.islastbar , session.islastbar_regular , session.ismarket , session.ispostmarket , session.ispremarket , syminfo.basecurrency , syminfo.country , syminfo.currency , syminfo.description , syminfo.employees , syminfo.expiration_date , syminfo.industry , syminfo.main_tickerid , syminfo.mincontract , syminfo.minmove , syminfo.mintick , syminfo.pointvalue , syminfo.prefix , syminfo.pricescale , syminfo.recommendations_buy , syminfo.recommendations_buy_strong , syminfo.recommendations_date , syminfo.recommendations_hold , syminfo.recommendations_sell , syminfo.recommendations_sell_strong , syminfo.recommendations_total , syminfo.root , syminfo.sector , syminfo.session , syminfo.shareholders , syminfo.shares_outstanding_float , syminfo.shares_outstanding_total , syminfo.target_price_average , syminfo.target_price_date , syminfo.target_price_estimates , syminfo.target_price_high , syminfo.target_price_low , syminfo.target_price_median , syminfo.ticker , syminfo.tickerid , syminfo.timezone , syminfo.type , syminfo.volumetype , ta.accdist , ta.iii , ta.nvi , ta.obv , ta.pvi , ta.pvt , ta.tr , ta.vwap , ta.wad , ta.wvad , time , time_close , time_tradingday , timeframe.isdaily , timeframe.isdwm , timeframe.isintraday , timeframe.isminutes , timeframe.ismonthly , timeframe.isseconds , timeframe.isticks , timeframe.isweekly , timeframe.main_period , timeframe.multiplier , timeframe.period , timenow , volume , weekofyear , year
█ HOW TO USE
1 — Add the Script:
Apply "Watermark with dynamic variables " to your chart from the TradingView platform.
2 — Configure Inputs:
Open the script settings by clicking the gear icon next to the script's name.
Customize visibility, message content, and appearance for Watermark A and Watermark B.
3 — Utilize Placeholders:
Add placeholders like %bar_index% or %timenow% in the "Watermark - Message" fields to display dynamic data.
Empty lines in the message box are reflected on the chart, allowing you to shift text up or down.
Using \n in the message box translates to a new line on the chart.
4 — Preview Changes:
Adjust settings and view updates in real-time on your chart.
█ EXAMPLES
Branding
DodgyDD's charts
Debugging
█ LIMITATIONS
Only supports variables defined within the script.
Limited to four messages per watermark.
Visual alignment may vary across different chart resolutions or zoom levels.
Placeholder parsing relies on correct input formatting.
█ NOTES
This script is designed for users seeking enhanced chart annotation capabilities. It provides tools for dynamic, customizable watermarks but is not a replacement for chart objects like text labels or drawings. Please ensure placeholders are properly formatted for correct parsing.
Additionally, this script can be a valuable tool for Pine Script developers during debugging . By utilizing dynamic placeholders, developers can display real-time values of variables and chart data directly on their charts, enabling easier troubleshooting and code validation.
Volume Profile with Node Detection [LuxAlgo]The Volume Profile with Node Detection is a charting tool that allows visualizing the distribution of traded volume across specific price levels and highlights significant volume nodes or clusters of volume nodes that traders may find relevant in utilizing in their trading strategies.
🔶 USAGE
The volume profile component of the script serves as the foundation for node detection while encompassing all the essential features expected from a volume profile. See the sub-sections below for more detailed information about the indicator components and their usage.
🔹 Peak Volume Node Detection
A volume peak node is identified when the volume profile nodes for the N preceding and N succeeding nodes are lower than that of the evaluated one.
Displaying peak volume nodes along with their surrounding N nodes (Zones or Clusters) helps visualize the range, typically representing consolidation zones in the market. This feature enables traders to identify areas where trading activity has intensified, potentially signaling periods of price consolidation or indecision among market participants.
🔹 Trough Volume Node Detection
A volume trough node is identified when the volume profile nodes for the N preceding and N succeeding nodes are higher than that of the evaluated one.
🔹 Highest and Lowest Volume Nodes
Both the highest and lowest volume areas play significant roles in trading. The highest volume areas typically represent zones of strong price acceptance, where a significant amount of trading activity has occurred. On the other hand, the lowest volume areas signify price levels with minimal trading activity, often indicating zones of price rejection or areas where market participants have shown less interest.
🔹 Volume profile
Volume profile is calculated based on the volume of trades that occur at various price levels within a specified timeframe. It divides the price range into discrete price intervals, typically known as "price buckets" or "price bars," and then calculates the total volume of trades that occur at each price level within those intervals. This information is then presented graphically as a histogram or profile, where the height of each bar represents the volume of trades that occurred at that particular price level.
🔶 SETTINGS
🔹 Volume Nodes
Volume Peaks: Toggles the visibility of either the "Peaks" or "Clusters" on the chart, depending on the specified percentage for detection.
Node Detection Percent %: Specifies the percentage for the Volume Peaks calculation.
Volume Troughs: Toggles the visibility of either the "Troughs" or "Clusters" on the chart, depending on the specified percentage for detection.
Node Detection Percent %: Specifies the percentage for the Volume Troughs calculation.
Volume Node Threshold %: A threshold value specified as a percentage is utilized to detect peak/trough volume nodes. If a value is set, the detection will disregard volume node values lower than the specified threshold.
Highest Volume Nodes: Toggles the visibility of the highest nodes for the specified count.
Lowest Volume Nodes: Toggles the visibility of the lowest nodes for the specified count.
🔹 Volume Profile - Components
Volume Profile: Toggles the visibility of the volume profile with either classical display or gradient display.
Value Area Up / Down: Color customization option for the volume nodes within the value area of the profile.
Profile Up / Down Volume: Color customization option for the volume nodes outside of the value area of the profile.
Point of Control: Toggles the visibility of the point of control, allowing selection between "developing" or "regular" modes. Sets the color and width of the point of control line accordingly.
Value Area High (VAH): Toggles the visibility of the value area high level and allows customization of the line color.
Value Area Low (VAL): Toggles the visibility of the value area low level and allows customization of the line color.
Profile Price Labels: Toggles the visibility of the Profile Price Levels and allows customization of the text size of the levels.
🔹 Volume Profile - Display Settings
Profile Lookback Length: Specifies the length of the profile lookback period.
Value Area (%): Specifies the percentage for calculating the value area.
Profile Placement: Specify where to display the profile.
Profile Number of Rows: Specify the number of rows the profile will have.
Profile Width %: Adjusts the width of the rows in the profile relative to the profile range.
Profile Horizontal Offset: Adjusts the horizontal offset of the profile when it is selected to be displayed on the right side of the chart.
Value Area Background: Toggles the visibility of the value area background and allows customization of the fill color.
Profile Background: Toggles the visibility of the profile background and allows customization of the fill color.
🔶 RELATED SCRIPTS
Supply-Demand-Profiles
Liquidity-Sentiment-Profile
Thanks to our community for recommending this script. For more conceptual scripts and related content, we welcome you to explore by visiting >>> LuxAlgo-Scripts .
Bond Yield SpreadThe Bond Yield Spread Script is developed for forex traders, offering an automated tool to calculate the bond yield spread between two countries associated with the forex pair displayed on the chart.
Functionality:
The script starts by identifying the base and quote currencies of the current forex pair and aligns them with their corresponding national bond symbols based on user-selected maturity, with options ranging from 01Y to 30Y. It calculates the yield spread by subtracting the bond yield associated with the quote country from that of the base country, following the formula:
Yield Spread = Yield(Base Country) − Yield(Quote Country)
which is then displayed as a plot line on the chart.
This script relies solely on TradingView's internal yield symbols, with the following calculation:
"currency" => "first two letters" + maturity
And maturity, in this case, is the value that is configured in the indicator settings, for example:
"EUR" => "EU" + "02Y" will result in EU02Y -> which will be used in the formula, depending on the quote or base currency.
Application in Trading:
This indicator is invaluable for traders employing carry trading strategies or assessing currency strength based on traded interest rates as an indicator. A higher yield spread typically indicates a stronger currency, because the return obtained for holding the currency is higher.
Originality and Practicality:
This script is self-developed, aiming to fill the gap in automatic bond yield comparisons within the TradingView environment. It is particularly beneficial for traders focusing on macroeconomic factors affecting forex markets. Unlike other scripts, it integrates various bond maturities into one tool, enhancing its utility and application range.
Conclusion:
Designed for traders incorporating macroeconomics in their strategy, this script will be useful to calculate the bond yield differences automatically without having to enter a new formula for every new currency pair.
Compliance and Limitations:
The script complies with TradingView scripting standards, ensuring no lookahead bias and maintaining real-time data integrity. However, its utility depends on the comprehensive availability of bond yield data within TradingView. As not all countries issue bonds for each listed maturity, this may limit the script’s application for certain currency pairs or specific maturities.
Backtesting ModuleDo you often find yourself creating new 'strategy()' scripts for each trading system? Are you unable to focus on generating new systems due to fatigue and time loss incurred in the process? Here's a potential solution: the 'Backtesting Module' :)
INTRODUCTION
Every trading system is based on four basic conditions: long entry, long exit, short entry and short exit (which are typically defined as boolean series in Pine Script).
If you can define the conditions generated by your trading system as a series of integers, it becomes possible to use these variables in different scripts in efficient ways. (Pine Script is a convenient language that allows you to use the integer output of one indicator as a source in another.)
The 'Backtesting Module' is a dynamic strategy script designed to adapt to your signals. It boasts two notable features:
⮞ It produces a backtest report using the entry and exit variables you define.
⮞ It not only serves for system testing but also to combine independent signals into a single system. (This functionality enables to create complex strategies and report on their success!)
The module tests Golden and Death cross signals by default, when you enter your own conditions the default signals will be neutralized. The methodology is described below.
PREPARATION
There are three simple steps to connect your own indicator to the Module.
STEP 1
Firstly, you must define entry and exit variables in your own script. Let's elucidate it with a straightforward example. Consider a system generating long and short signals based on the intersections of two moving averages. Consequently, our conditions would be as follows:
// Signals
long = ta.crossover(ta.sma(close, 14), ta.sma(close, 28))
short = ta.crossunder(ta.sma(close, 14), ta.sma(close, 28))
Now, the question is: How can we convert boolean variables into integer variables? The answer is conditional ternary block, defined as follows:
// Entry & Exit
long_entry = long ? 1 : 0
long_exit = short ? 1 : 0
short_entry = short ? 1 : 0
short_exit = long ? 1 : 0
The mechanics of the Entry & Exit variables are simple. The variable takes on a value of 1 when your trading system generates the signal and if your system does not produce any signal, variable returns 0. In this example, you see how exit signals can be generated in a trading system that only contains entry signals. If you have a system with original exit signals, you can also use them directly. (Please mind the NOTES section below).
STEP 2
To utilize the Entry & Exit variables as source in another script, they must be plotted on the chart. Therefore, the final detail to include in the script containing your trading system would be as follows:
// Plot The Output
plot(long_entry, "Long Entry", display=display.data_window, editable=false)
plot(long_exit, "Long Exit", display=display.data_window, editable=false)
plot(short_entry, "Short Entry", display=display.data_window, editable=false)
plot(short_exit, "Short Exit", display=display.data_window, editable=false)
STEP 3
Now, we are ready to test the system! Load the Backtesting Module indicator onto the chart along with your trading system/indicator. Then set the outputs of your system (Long Entry, Long Exit, Short Entry, Short Exit) as source in the module. That's it.
FEATURES & ORIGINALITY
⮞ Primarily, this script has been created to provide you with an easy and practical method when testing your trading system.
⮞ I thought it might be nice to visualize a few useful results. The Backtesting Module provides insights into the outcomes of both long and short trades by computing the number of trades and the success percentage.
⮞ Through the 'Trade' parameter, users can specify the market direction in which the indicator is permitted to initiate positions.
⮞ Users have the flexibility to define the date range for the test.
⮞ There are optional features allowing users to plot entry prices on the chart and customize bar colors.
⮞ The report and the test date range are presented in a table on the chart screen. The entry price can be monitored in the data window.
⮞ Note that results are based on realized returns, and the open trade is not included in the displayed results. (The only exception is the 'Unrealized PNL' result in the table.)
STRATEGY SETTINGS
The default parameters are as follows:
⮞ Initial Balance : 10000 (in units of currency)
⮞ Quantity : 10% of equity
⮞ Commission : 0.04%
⮞ Slippage : 0
⮞ Dataset : All bars in the chart
For a realistic backtest result, you should size trades to only risk sustainable amounts of equity. Do not risk more than 5-10% on a trade. And ALWAYS configure your commission and slippage parameters according to pessimistic scenarios!
NOTES
⮞ This script is intended solely for development purposes. And it'll will be available for all the indicators I publish.
⮞ In this version of the module, all order types are designed as market orders. The exit size is the sum of the entry size.
⮞ As your trading conditions grow more intricate, you might need to define the outputs of your system in alternative ways. The method outlined in this description is tailored for straightforward signal structures.
⮞ Additionally, depending on the structure of your trading system, the backtest module may require further development. This encompasses stop-loss, take-profit, specific exit orders, quantity, margin and risk management calculations. I am considering releasing improvements that consider these options in future versions.
⮞ An example of how complex trading signals can be generated is the OTT Collection. If you're interested in seeing how the signals are constructed, you can use the link below.
THANKS
Special thanks to PineCoders for their valuable moderation efforts.
I hope this will be a useful example for the TradingView community...
DISCLAIMER
This is just an indicator, nothing more. It is provided for informational and educational purposes exclusively. The utilization of this script does not constitute professional or financial advice. The user solely bears the responsibility for risks associated with script usage. Do not forget to manage your risk. And trade as safely as possible. Best of luck!
Rolling VWAP█ OVERVIEW
This indicator displays a Rolling Volume-Weighted Average Price. Contrary to VWAP indicators which reset at the beginning of a new time segment, RVWAP calculates using a moving window defined by a time period (not a simple number of bars), so it never resets.
█ CONCEPTS
If you are not already familiar with VWAP, our Help Center will get you started.
The typical VWAP is designed to be used on intraday charts, as it resets at the beginning of the day. Such VWAPs cannot be used on daily, weekly or monthly charts. Instead, this rolling VWAP uses a time period that automatically adjusts to the chart's timeframe. You can thus use RVWAP on any chart that includes volume information in its data feed.
Because RVWAP uses a moving window, it does not exhibit the jumpiness of VWAP plots that reset. You can see the more jagged VWAP on the chart above. We think both can be useful to traders; up to you to decide which flavor works for you.
█ HOW TO USE IT
Load the indicator on an active chart (see the Help Center if you don't know how).
Time period
By default, the script uses an auto-stepping mechanism to adjust the time period of its moving window to the chart's timeframe. The following table shows chart timeframes and the corresponding time period used by the script. When the chart's timeframe is less than or equal to the timeframe in the first column, the second column's time period is used to calculate RVWAP:
Chart Time
timeframe period
1min 🠆 1H
5min 🠆 4H
1H 🠆 1D
4H 🠆 3D
12H 🠆 1W
1D 🠆 1M
1W 🠆 3M
You can use the script's inputs to specify a fixed time period, which you can express in any combination of days, hours and minutes.
By default, the time period currently used is displayed in the lower-right corner of the chart. The script's inputs allow you to hide the display or change its size and location.
Minimum Window Size
This input field determines the minimum number of values to keep in the moving window, even if these values are outside the prescribed time period. This mitigates situations where a large time gap between two bars would cause the time window to be empty, which can occur in non-24x7 markets where large time gaps may separate contiguous chart bars, namely across holidays or trading sessions. For example, if you were using a 1D time period and there is a two-day gap between two bars, then no chart bars would fit in the moving window after the gap. The default value is 10 bars.
█ NOTES
If you are interested in VWAP indicators, you may find the VWAP Auto Anchored built-in indicator worth a try.
For Pine Script™ coders
The heart of this script's calculations uses the `totalForTimeWhen()` function from the ConditionalAverages library published by PineCoders . It works by maintaining an array of values included in a time period, but without a for loop requiring a lookback from the current bar, so it is much more efficient.
We write our Pine Script™ code using the recommendations in the User Manual's Style Guide .
Look first. Then leap.
Volume Spike Retracement█ OVERVIEW
-Following many people's request to add "Volume" mode again in my "Institutional OrderBlock Pressure" script. I decided to release an improved
and full-fledged script. This will be the last OB/Retracement script I will release as we have explored every possible way to find them.
█ HOW TO INTERPRET?
-The script uses the the 0.5 Pivot and the maximum value set for Volume Length to find 'Peak Volume'. Once these conditions are met,
the script starts creating a Retracement Line.
-By default, the Volume Length value is set to 89, which works well with most Timeframes following the OrderBlocks/Retracements
logic used in my scripts.
-You have the option to set Alerts when the "Volume Spike Limit" is reached or when a Price Crossing with a Line occurs.
█ NOTES
- Yes Alerts appear instantly. Moreover, they are not 'confirmed', you must ALWAYS wait for confirmation before making a choice.
Good Trade everyone and remember, risk management remains the most important!
