Stock Rating [TrendX_]# OVERVIEW
This Stock Rating indicator provides a thorough evaluation of a company (NON-FINANCIAL ONLY) ranging from 0 to 5. The rating is the average of six core financial metrics: efficiency, profitability, liquidity, solvency, valuation, and technical ratings. Each metric encompasses several financial measurements to ensure a robust and holistic evaluation of the stock.
## EFFICIENCY METRICS
1. Asset-to-Liability Ratio : Measures a company's ability to cover its liabilities with its assets.
2. Equity-to-Liability Ratio : Indicates the proportion of equity used to finance the company relative to liabilities.
3. Net Margin : Shows the percentage of revenue that translates into profit.
4. Operating Expense : Reflects the costs required for normal business operations.
5. Operating Expense Ratio : Compares operating expenses to total revenue.
6. Operating Profit Ratio : Measures operating profit as a percentage of revenue.
7. PE to Industry Relative PE/PB : Compares the company's PE ratio to the industry average.
## PROFITABILITY METRICS
1. ROA : Indicates how efficiently a company uses its assets to generate profit.
2. ROE : Measures profitability relative to shareholders' equity.
3. EBITDA : Reflects a company's operational profitability.
4. Free Cash Flow Margin : Shows the percentage of revenue that remains as free cash flow.
5. Revenue Growth : Measures the percentage increase in revenue over a period.
6. Gross Margin : Reflects the percentage of revenue exceeding the cost of goods sold.
7. Net Margin : Percentage of revenue that is net profit.
8. Operating Margin : Measures the percentage of revenue that is operating profit.
## LIQUIDITY METRICS
1. Current Ratio : Indicates the ability to cover short-term obligations with short-term assets.
2. Interest Coverage Ratio : Measures the ability to pay interest on outstanding debt.
3. Debt-to-EBITDA : Compares total debt to EBITDA.
4. Debt-to-Equity Ratio : Indicates the relative proportion of debt and equity financing.
## SOLVENCY METRICS
1. Altman Z-score : Predicts bankruptcy risk
2. Beneish M-score : Detects earnings manipulation.
3. Fulmer H-factor : Predicts business failure risk.
## VALUATION METRICS
1. Industry Relative PE/PB Comparison : Compares the company's PE and PB ratios to industry averages.
2. Momentum of PE, PB, and EV/EBITDA Multiples : Tracks the trends of PE, PB, and EV/EBITDA ratios over time.
## TECHNICAL METRICS
1. Relative Strength Index (RSI) : Measures the speed and change of price movements.
2. Supertrend : Trend-following indicator that identifies market trends.
3. Moving Average Golden-Cross : Occurs when a short-term MA crosses above mid-term and long-term MA which are determined by half-PI increment in smoothing period.
4. On-Balance Volume Golden-Cross : Measures cumulative buying and selling pressure.
Educational
Bitcoin Futures vs. Spot Tri-Frame - Strategy [presentTrading]Prove idea with a backtest is always true for trading.
I developed and open-sourced it as an educational material for crypto traders to understand that the futures and spot spread may be effective but not be as effective as they might think. It serves as an indicator of sentiment rather than a reliable predictor of market trends over certain periods. It is better suited for specific trading environments, which require further research.
█ Introduction and How it is Different
The "Bitcoin Futures vs. Spot Tri-Frame Strategy" utilizes three different timeframes to calculate the Z-Score of the spread between BTC futures and spot prices on Binance and OKX exchanges. The strategy executes long or short trades based on composite Z-Score conditions across the three timeframes.
The spread refers to the difference in price between BTC futures and BTC spot prices, calculated by taking a weighted average of futures prices from multiple exchanges (Binance and OKX) and subtracting a weighted average of spot prices from the same exchanges.
BTCUSD 1D L/S Performance
█ Strategy, How It Works: Detailed Explanation
🔶 Calculation of the Spread
The spread is the difference in price between BTC futures and BTC spot prices. The strategy calculates the spread by taking a weighted average of futures prices from multiple exchanges (Binance and OKX) and subtracting a weighted average of spot prices from the same exchanges. This spread serves as the primary metric for identifying trading opportunities.
Spread = Weighted Average Futures Price - Weighted Average Spot Price
🔶 Z-Score Calculation
The Z-Score measures how many standard deviations the current spread is from its historical mean. This is calculated for each timeframe as follows:
Spread Mean_tf = SMA(Spread_tf, longTermSMA)
Spread StdDev_tf = STDEV(Spread_tf, longTermSMA)
Z-Score_tf = (Spread_tf - Spread Mean_tf) / Spread StdDev_tf
Local performance
🔶 Composite Entry Conditions
The strategy triggers long and short entries based on composite Z-Score conditions across all three timeframes:
- Long Condition: All three Z-Scores must be greater than the long entry threshold.
Long Condition = (Z-Score_tf1 > zScoreLongEntryThreshold) and (Z-Score_tf2 > zScoreLongEntryThreshold) and (Z-Score_tf3 > zScoreLongEntryThreshold)
- Short Condition: All three Z-Scores must be less than the short entry threshold.
Short Condition = (Z-Score_tf1 < zScoreShortEntryThreshold) and (Z-Score_tf2 < zScoreShortEntryThreshold) and (Z-Score_tf3 < zScoreShortEntryThreshold)
█ Trade Direction
The strategy allows the user to specify the trading direction:
- Long: Only long trades are executed.
- Short: Only short trades are executed.
- Both: Both long and short trades are executed based on the Z-Score conditions.
█ Usage
The strategy can be applied to BTC or Crypto trading on major exchanges like Binance and OKX. By leveraging discrepancies between futures and spot prices, traders can exploit market inefficiencies. This strategy is suitable for traders who prefer a statistical approach and want to diversify their timeframes to validate signals.
█ Default Settings
- Input TF 1 (60 minutes): Sets the first timeframe for Z-Score calculation.
- Input TF 2 (120 minutes): Sets the second timeframe for Z-Score calculation.
- Input TF 3 (180 minutes): Sets the third timeframe for Z-Score calculation.
- Long Entry Z-Score Threshold (3): Defines the threshold above which a long trade is triggered.
- Short Entry Z-Score Threshold (-3): Defines the threshold below which a short trade is triggered.
- Long-Term SMA Period (100): The period used to calculate the simple moving average for the spread.
- Use Hold Days (true): Enables holding trades for a specified number of days.
- Hold Days (5): Number of days to hold the trade before exiting.
- TPSL Condition (None): Defines the conditions for taking profit and stop loss.
- Take Profit (%) (30.0): The percentage at which the trade will take profit.
- Stop Loss (%) (20.0): The percentage at which the trade will stop loss.
By fine-tuning these settings, traders can optimize the strategy to suit their risk tolerance and trading style, enhancing overall performance.
HTF Descending TriangleHTF Descending Triangle aims at detecting descending triangles using higher time frame data, without repainting nor misalignment issues.
Descending triangles are defined by a falling upper trend line and an horizontal lower trend line. It is a chart pattern used in technical analysis to predict the continuation of a downtrend.
This indicator can be useful if you, like me, believe that higher time frames can offer a broader perspective and provide clearer signals, smoothing out market noise and showing longer-term trends.
You can change the indicator settings as you see fit to tighten or loosen the detection, and achieve the best results for your use case.
Features
It draws the detected descending triangle on the chart.
It supports alerting when a detection occurs.
It allows for setting the higher time frame to run the detection on.
It allows for setting the minimum number of consecutive valid higher time frame bars to fit the pattern criteria.
It allows for setting a low factor detection criteria to apply on higher time frame bars low as a proportion of the distance between the reference bar low and open/close.
It allows for turning on an adjustment of the triangle using highest/lowest values within valid higher time frame bars.
Settings
Higher Time Frame dropdown: Selects higher time frame to run the detection on. It must be higher than, and a multiple of, the chart's timeframe.
Valid Bars Minimum field: Sets minimum number of consecutive valid higher time frame bars to fit the pattern criteria.
Low Factor checkbox: Turns on/off low factor detection criteria.
Low Factor field: Sets low factor to apply on higher time frame bars low as a proportion of the distance between the reference bar low and open/close.
Adjust Triangle checkbox: Turns on/off triangle adjustment using highest/lowest values within valid higher time frame bars.
Detection Algorithm Notes
The detection algorithm recursively selects a higher time frame bar as reference. Then it looks at the consecutive higher time frame bars (as per the requested number of minimum valid bars) as follows:
High must be lower than previous bar.
Open/close min value must be higher than reference bar low.
When low factor criteria is turned on, low must be lower than reference bar open/close min value minus low factor proportion of the distance between reference bar low and open/close min value.
Leading MACDThe Moving Average Convergence Divergence (MACD) indicator is one of the most popular and versatile tools used by traders to identify potential buy and sell signals. It helps traders determine the strength and direction of a trend by comparing different moving averages of a security's price. The traditional MACD uses two exponential moving averages (EMAs), a fast EMA (typically 12 periods) and a slow EMA (typically 26 periods), along with a signal line (typically a 9-period EMA of the MACD line) to generate trading signals.
Our "Custom MACD with Leading Length" script for TradingView enhances the traditional MACD by introducing an additional smoothing factor called the "leading length." This customization aims to reduce noise and provide a potentially earlier indication of trend changes, making it a valuable tool for traders seeking to optimize their trading strategies.
- **Purpose:** This additional smoothing factor is designed to reduce noise and provide a potentially leading signal, enhancing the accuracy of trend identification.
## How It Works
1. **Calculate the MACD Line:**
The MACD line is calculated by subtracting the slow EMA from the fast EMA. This difference represents the convergence or divergence between the two EMAs.
2. **Calculate the Signal Line:**
The signal line is an EMA of the MACD line. This additional smoothing helps to generate clearer buy and sell signals based on crossovers with the MACD line.
3. **Calculate the Histogram:**
The histogram represents the difference between the MACD line and the signal line. It visually indicates the strength and direction of the trend. A positive histogram suggests a bullish trend, while a negative histogram indicates a bearish trend.
4. **Apply Leading Length Smoothing:**
To incorporate the leading length, the script applies a simple moving average (SMA) to both the MACD and signal lines using the leading length parameter. This additional smoothing helps to further reduce noise and potentially provides earlier signals of trend changes.
## Benefits of the Leading MACD
### Reduced Noise
The leading length parameter adds an extra layer of smoothing to the MACD and signal lines, helping to filter out market noise. This can be particularly beneficial in volatile markets, where frequent price fluctuations can generate false signals.
### Potential Early Signals
By smoothing the MACD and signal lines, the leading length can help to provide earlier indications of trend changes. This can give traders a potential edge in entering or exiting trades before the broader market reacts.
### Enhanced Trend Identification
The combination of the traditional MACD with the leading length smoothing can enhance the accuracy of trend identification. Traders can use this tool to confirm the strength and direction of trends, making it easier to make informed trading decisions.
### Versatility
The Custom MACD with Leading Length can be applied to various timeframes and asset classes, including stocks, forex, commodities, and cryptocurrencies. Its adaptability makes it a valuable tool for traders with different strategies and preferences.
## Practical Applications
### Buy Signal
A typical buy signal occurs when the MACD line crosses above the signal line. With the additional smoothing provided by the leading length, traders might receive this signal slightly earlier, allowing them to enter a long position sooner. This can be particularly advantageous in capturing the beginning of a bullish trend.
### Sell Signal
Conversely, a sell signal is generated when the MACD line crosses below the signal line. The leading length smoothing can help to provide this signal earlier, enabling traders to exit a long position or enter a short position before the trend reversal is fully recognized by the market.
### Divergence Analysis
Traders can also use the Custom MACD with Leading Length for divergence analysis. Bullish divergence occurs when the price makes a new low, but the MACD line forms a higher low. This suggests that the downward momentum is weakening, potentially leading to a bullish reversal. Bearish divergence is the opposite, where the price makes a new high, but the MACD line forms a lower high, indicating a potential bearish reversal.
### Confirmation Tool
The Custom MACD with Leading Length can be used in conjunction with other technical indicators to confirm trading signals. For example, traders might use it alongside support and resistance levels, trendlines, or other momentum indicators to validate their trade entries and exits.
## Conclusion
The Custom MACD with Leading Length is a powerful enhancement of the traditional MACD indicator. By introducing an additional smoothing factor, it aims to reduce noise and provide earlier signals of trend changes. This makes it a valuable tool for traders seeking to improve their market analysis and trading strategies.
Whether you are a day trader, swing trader, or long-term investor, the Custom MACD with Leading Length can help you make more informed decisions by offering clearer insights into market trends. Its adaptability to different timeframes and asset classes further enhances its utility, making it a versatile addition to any trader's toolkit.
Experiment with the parameters to find the optimal settings that suit your trading style and preferences. Use the Custom MACD with Leading Length to gain a deeper understanding of market dynamics and enhance your trading performance.
Precision Strike Entry [PSE]This tool, known as Precision Strike Entry (PSE) , automatically generates Fibonacci Retracement Levels on any chart. More specifically, it scans for continuation and reversal trades based on two inputs and provides exact entry, exit ( Stop Loss ), and Take Profit levels.
Precision Strike Entry can be used for both Crypto and Forex markets.
A crucial aspect is adjusting the " Trading Mode " length to identify the correct extreme points or Custom Pivot Period Lookback. Unlike manually drawn Fibonacci levels, which remain static, the tool adjusts its levels dynamically when the chart's time frame changes.
Trading Mode Options:
Custom – To set manually Pivot Period Lookback
Scalper - Recommended for 5-15 min timeframes
Normal - Recommended for 15 min-2h timeframes
Swing - Recommended for 2h-4h timeframes
Unique to this tool is that the user can filter specific conditions before the Fibonacci is drawn on the chart. Additionally, it provides exact entry, stop loss, and Take Profit levels.
The identification of possible Fibonacci Retracement happens using two trigger techniques:
1-2 Setup and Trendline Break identification.
--> Using the 1-2 Setup identification, the indicator attempts to identify the next wave for point 3 using Fibonacci retracement rules.
--> Using the TrendLine breakout filter, the indicator will try to identify a possible pullback entry, utilizing Fibonacci retracement.
The indicator has been designed for bot processes, meaning it will not identify a short trade until you are in a long position and vice versa. Every trade ends with a custom breakeven at TP5 or hitting Stop Loss. When a trade ends/closes, the indicator will automatically search for a new long/short opportunity.
Since every symbol (Pair/Coin) has different conformations and pivots, not all pivot period parameters are perfect for every pair and timeframe. This is why the indicator gives you the opportunity to find the best pivot period for every combination of pair/timeframe, thanks to the Tuning Dashboard .
For example, for APE/USDT.P, by adjusting the 1-2 Setup & TrendLine Pivot Period Lookback settings, you can find a good setting with 1-2 Setup pivots set to 14, and TrendLine Breakout set to 15. The indicator checks the past 1000 bars and historical trades to provide an overview of what happened during the past 1000 bars.
In this case, the total number of trades was 145, and only 35 trades (24% of total trades) hit the Stop Loss without hitting at least TP1. TP1 was hit 110 times (75.75% of trades), TP2 65 times, etc.
This summary table also provides an indication of which pivot period setting is best for a specific pair/time frame combination. It offers statistical insights on how Take Profits were hit, giving you more confidence in how much of your position you will sell for each Take Profit level.
Pivot period settings for 1-2 Setup & Trend Line Breakout identification can be modified in the indicator parameters when the Trading Mode is set to Custom. There is also an extra parameter for filtering Long/Short ( Buy and Sell ) signals based on trend, identified using two EMAs (Moving Averages) with periods of 74 and 144.
Within the settings, you can also set Stop Loss and Breakeven settings as you prefer.
Default settings are:
TP1 Breakeven Level to Entry (possible values: Entry - DCA Entry - StopLoss)
TP2 Breakeven Level to TP1 (possible values: Entry - TP1 - StopLoss)
Breakeven Trigger: Use Close/Open of candles
Stoploss Trigger: Use Close/Open of candles
The indicator settings also include some visual settings to adapt the indicator based on the template you are using for your trading view charts for the best experience.
Alert Settings:
Precision Strike Entry (PSE) is designed to integrate with third-party bot systems
You can set three different alert modes:
TradingView Alert : You will receive classic TradingView alerts with messages indicating the desired alert, like Open Long (BUY), StopLoss Hit, Breakeven, and TakeProfits trigger alerts. (You will receive only the selected alerts from the list.)
Bot Alert : You will receive alerts only for Create Trade or Close Trade with the string of your UUID (you have to fill them in related to your Bot indication) and remember to set the Webhook setting to ensure the alert triggers on your Bot. When you use Bot Alert, you have to set the indicator Signal Type related to your Bot settings. NB: If you have created a TradingView Bot for Long Position, you will have to choose Signal Type = Long in the indicator settings.
Free Text Trade Alert : Using this setting, you will receive alerts only for Open Trade Long or Short. All information about Stop Loss and Take Profits is integrated into the Free Text Template.
Explanation for possible Fibonacci Retracement identification:
1-2 Setup identification:
Trend Line Breakout Pullback Identification:
ICT Setup 01 [TradingFinder] FVG + Liquidity Sweeps/Hunt Alerts🔵 Introduction
The ICT (Inner Circle Trader) style of trading involves analyzing the behavior of market participants and market makers to identify areas where fake buy and sell activities occur. This trading style helps retail traders align with market maker behavior and avoid falling into market traps.
A key aspect of the ICT strategy is focusing on liquidity hunts. This involves searching for trading opportunities in areas of the market with low liquidity or where other traders have little activity. The ICT method leverages market inefficiencies and weaknesses, allowing traders to profit from small price movements that might go unnoticed by others.
In "ICT Setup 01," our focus is on these liquidity areas and stop hunts that form in Fair Value Gaps (FVGs). Trading within FVGs, combined with confirmations from "Hunts" and "Sweeps," can enhance trader performance.
🔵 How to Use
The presence of Fair Value Gaps (FVGs) in the market indicates rapid, powerful movements likely caused by the influx of smart money. When the price returns to these levels, a market reaction is expected.
Combining this with the complex and deceptive behavior of smart money—such as "Liquidity Sweeps" and "Stop Hunts"—forms an ICT-based price action setup that we expect to perform well.
Components of "ICT Setup 01" :
● Fair Value Gap (FVG)
● Premium and Discount
● Hunts / Sweeps
Whenever the price returns to an FVG area and reacts in such a way that only the wicks of the candles remain in the area and the candle bodies are outside the FVG, the first condition for creating the setup is met.
If subsequent candles hunt the wick that has penetrated the deepest into the FVG, a buy or sell signal is issued. In the format where hunting is based on Sweeps, penetrations that extend even outside the area are considered signals, provided they do not form a body within the area.
Additionally, a refining system exists for cases where a candle body forms in the area, optimizing the proximal levels of the FVG.
Bullish Setup :
Bearish Setup :
🔵 Features and Settings of "ICT Setup 01"
You can Find out more in Setting :
● FVG Detector Multiplier Factor
● FVG Validity Period
● Level in Low-Risk Zone
● Issuing Signals Method
● Number of Signals Allowed from a Zone
● Signal after Hunts/Sweeps
● How Many Hunts/Sweeps
● Show or Hide
● Alert Sender
FVG Detector Multiplier Factor :
This feature allows you to determine the size of the moves forming the FVGs based on the ATR (Average True Range). The default value is 1 to identify the majority of setups. You can increase this value according to the symbol and market you are trading in to achieve better results.
FVG Validity Period :
This shows the validity period of an FVG based on the number of candles. By default, an FVG area is valid for up to 15 candles. However, you can increase or decrease this period.
Level in Low-Risk Zone :
This feature helps reduce your risk. The method works by identifying the entire length of the three candles forming the FVG and dividing it into two equal areas. The upper area is "Premium," and the lower area is "Discount." To reduce risk, it is better for "Demand FVG" to be in the "Discount" and "Supply FVG" in the "Premium." This feature is off by default.
Issuing Signals Method :
This feature allows you to specify whether the hunt should occur only within the FVG area or if the wicks can extend outside the area.
If set to "Hunts," only signals where the wicks are within the area are issued, and the area loses its validity if the wicks extend outside.
In "Sweeps" mode, wicks can extend outside the area as long as they do not form a body within the area.
Number of Signals Allowed from a Zone :
This feature allows you to specify how many valid signals can be issued from one area.
Signal after Hunts/Sweeps :
In markets or symbols with a tendency for frequent stop hunts, this feature allows you to specify how many hunts should occur before you receive a signal to avoid receiving potentially failed signals.
How Many Hunts/Sweeps :
Enter the number of hunts you want to set for the "Signal after Hunts/Sweeps" feature here.
Show or Hide :
The number of setups formed may be very large, and displaying all of them on the chart can be distracting and messy. By default, only the last setup is displayed, but if you want to see all setups, you can turn on the relevant options.
Alert Sender :
You cannot constantly monitor multiple charts to identify trading opportunities. Using the alert sending feature can save time and improve performance.
Alerts Name : Customize the alert name to your preference.
Message Frequency : Determines the frequency of alert messages. Options include 'All' (triggers every time the function is called), 'Once Per Bar' (triggers only on the first call within the bar), and 'Once Per Bar Close' (triggers only on the final script execution of the real-time bar upon closure). The default is 'Once per Bar.'
Show Alert Time by Time Zone : Configure the alert messages to reflect any chosen time zone. For instance, input 'UTC+1' for London time. The default is 'UTC.'
By configuring these settings, traders can effectively utilize ICT setups to improve their trading strategies and outcomes.
Discovery IndexThe Discovery Index is an original technical indicator which attempts to display directional market pressure and momentum based on accumulated candle-over-candle measurements.
Discovery , in this context, is the act of finding (discovering) New Highs and Lows.
> What is 'Discovery'
Not to be confused with "Price Discovery", the term for setting the spot price of an asset.
The term 'Discovery' in Discovery Index is used based on the literal definition of 'Discovery', such as, the action of finding what was previously unknown.
Given this definition,
Discovery is the difference between highs or lows only when the current high is higher than the previous high or the current low is lower than the previous low.
Below is a visual example of exactly where Discovery is seen from each candle.
Since discovery is only based on points of the candle, and not specifically the direction of the candle; it is possible for discovery to occur in both directions from the same candle.
It is also possible for no discovery to occur from a candle.
> Calculation
The Discovery Index is the Net Total of discovery data over a specified length of bars.
Discovery Index = Sum of Upwards Discovery + Sum of Downwards Discovery
Note: Upwards Discovery is always Positive, and Downwards Discovery is always Negative. By adding both together, their Net Total is produced. This value is the "Discovery Index".
Wick Calculation Example
> Volume Discovery
Using Volume for the Discovery Index Calculation allows for a different dimension to be added to the data for new analysis opportunities.
While volume data is only a single value, by accumulating this data over time, we are able to fabricate a candle body from the data by accounting for the direction of the chart candles.
This allows for the Calculation of the Discovery Index based on volume data.
Volume Example
> Display
The display uses a "Candlestick histogram" display. The bodies and wicks from the display represent the discovery data from the respective points in each candle. (Wick Discovery & Candle Body Discovery).
This style of histogram allows for the display of both data sources, preserving the accuracy and distinction between each type, while also providing a clean display.
> Considerations
Discovery index is not an Oscillator, since there are no upper or lower boundaries to its rotations.
There are not (at this time) any "Over-bought" or "Over-sold" Areas, this is partially due to the previous consideration since any levels for these could potentially change from chart to chart. Additionally, it would generally be better to read the data based on the context of the current market.
Non-directional movements effect the Discovery Index as well. Since Discovery does not occur from every bar, the Index reflects hesitations as well as movements in market direction.
With the option to input a symbol, the Discovery Index Indicator is not constrained to one chart ticker for its calculation and could help to see shifts between different symbols, making it easier to compare different assets.
With the separation of wicks and candle body data, a stronger move may be observed by its full-bodied movements, while a potentially more speculative move may be seen from large wick movements. Since wicks are often interpreted as either, Rejection for reversal OR as Testing for continuation, the interpretation for Wick Discovery generally varies based on context.
Discovery Index ⇾ Divergences! Due to its calculation, price (and/or volume) data is displayed in such a way that makes it useful as a tool for identifying divergence opportunities.
Remember, this indicator is lookback based. An immediate significant change from the data source (if not offset by a similar opposite change) will be represented for multiple bars after its occurrence. Due to this, data is likely to be skewed or biased from these occurrences for a period of time after.
Throughout development, "Discovery" has been shortened to just "Disco", therefore, this indicator is also an attempt to bring Disco Back.
Enjoy!
TS & AO This is Best Intraday and Swing Trading Indicator
Certainly! Let’s explore some intraday and swing trading indicators that can help traders make informed decisions
SuperTrend:
The Supertrend indicator is commonly used for intraday trading.
It is plotted on the price chart and helps determine the current trend.
Parameters: It uses the Average True Range (ATR) with default values of 10 for the period and 3 for the multiplier.
Interpretation:
Upward trend: When Supertrend is below the bars and changes color to green, it indicates a buy signal.
Downward trend: When Supertrend is above the bars and turns red, it signals a sell opportunity1.
VWAP (Volume Weighted Average Price):
VWAP is a volume-based indicator.
It compares the value of a stock traded at a specific time to the total volume traded for that stock.
Interpretation:
Bullish trend: When the stock price is above VWAP, it suggests an uptrend.
Traders can consider buying on retracements toward VWAP in the direction of the trend1.
Moving Averages (MAs):
MAs are versatile indicators suitable for intraday, swing, and longer-term trading.
Common MAs include:
9-day MA: Short-term trend indicator.
50-day MA: Intermediate trend indicator.
100-day MA: Longer-term trend indicator.
Interpretation:
Uptrend: When the stock price is above the MA, it signals a bullish trend.
Downtrend: When the price is below the MA, it suggests a bearish trend2.
Brekout Up/Dn 9:15 CandleCertainly! Let’s break down the concepts of “Breakout Up/Dn 9:15” and the Relative Strength Index (RSI):
Breakout Up/Dn 9:15:
This refers to a stock breakout strategy that occurs within the first 15 minutes of the trading day (between 9:15 AM and 9:20 AM).
The goal is to identify strong support or resistance levels during this early market activity.
The following filters are typically applied to stocks in the cash segment:
The 15-minute closing price must be greater than the 15-minute maximum of either the last 20 closing prices or the current closing price.
The 15-minute volume should be higher than the 15-minute simple moving average (SMA) of volume over the past 20 periods.
The daily closing price should be less than or equal to a specified value (e.g., 2000).
The 15-minute RSI (14-period) should be greater than or equal to a certain threshold (e.g., 75).
If a stock meets all these conditions, it is considered a breakout candidate.
Note that this scan is based on delayed data, and real-time scans are available with a premium subscription1.
Relative Strength Index (RSI):
The RSI is a momentum oscillator that measures the speed and change of price movements.
It ranges from 0 to 100 and is commonly used to identify overbought or oversold conditions.
Key points about RSI:
RSI values above 70 indicate overbought conditions (potential reversal downward).
RSI values below 30 indicate oversold conditions (potential reversal upward).
Traders often look for RSI crossovers, divergences, and retests of breakout levels.
RSI can be used in various trading strategies, including breakout retests and alerts2.
Remember that these are just brief descriptions, and there’s much more to explore in both breakout strategies
Bitcoin Halving CountdownJust a simple Bitcoin halving countdown
Set up for the 2028 halving with the block height set at 1050000
Block height can be setup in the script settings for future halving
We don't have real time on-chain data on TradingView, so the script will update only once a day with a lag of one day (GLASSNODE data) until we get live data.
If you have any suggestions/questions leave a comment :)
Mescu
Multi ETH Rolling APY Calculator [presentTrading]This one is for SEC paves way for Ethereum ETFs in boost for crypto!
█ Introduction and How it is Different
The "Multi ETH Rolling APY Calculator" is a sophisticated Pine Script tool designed to analyze the annualized difference between Ethereum (ETH) spot and futures prices. This tool is essential for identifying arbitrage opportunities and assessing market sentiment, offering traders invaluable insights into market dynamics. By calculating the premium or discount of futures contracts relative to the spot price and annualizing this figure based on the time until each contract's expiration, the Multi ETH Rolling APY Calculator provides a clear view of potential profit margins and market trends.
Unlike traditional trading indicators that focus solely on price movements or technical patterns, this calculator delves deeper into the futures market, providing a dual-purpose tool. It not only helps in spotting arbitrage opportunities but also serves as a gauge for the emotional state of the market, thereby offering a more comprehensive analysis of market conditions. This dual functionality sets it apart, making it a must-have for traders looking to navigate the volatile cryptocurrency trading landscape effectively.
Historical backtesting has revealed that Bitcoin's Rolling APY can serve as a robust indicator of market sentiment:
- Below 0%: Often indicates panic or 'end-of-world' scenarios.
- 0-5%: Signifies extreme market fear.
- 5-10%: Reflects a calm market environment.
- 10-15%: Suggests a moderately warm market.
- 15-20%: Indicates an overheated market.
- **Above 20%: Signals FOMO (fear of missing out).
█ Strategy, How it Works: Detailed Explanation
The Multi ETH Rolling APY Calculator employs a systematic approach to derive its insights. The process is broken down into several steps, each contributing to the overall analysis:
🔶 Data Fetching: The script first fetches the necessary data, including the closing prices of Ethereum's spot market and selected futures contracts. These futures contracts are typically set to expire at different dates, providing a broad perspective on market expectations over time.
🔶 Time and Expiration: The tool takes into account the current time and the expiration dates of the futures contracts. This helps in calculating the number of days remaining until each contract's expiration.
🔶 Premium Calculations: The premium or discount of each futures contract relative to the spot price is computed. This is done by subtracting the spot price from the futures price and then dividing the result by the spot price. This calculation gives a percentage that represents the premium or discount.
🔶 Annualized Percentage Yield (APY) Calculations: The calculated premium or discount is then annualized based on the number of days remaining until the contract's expiration. This involves multiplying the premium or discount by the factor (365 / days remaining) to annualize the figure. If the user chooses not to annualize the numbers, this step is skipped.
🔶 Plotting Results: The annualized yields are then plotted on a chart, allowing traders to visualize the potential returns from different futures contracts. The plots are color-coded for easy differentiation and quick analysis.
By following this structured approach, the Multi ETH Rolling APY Calculator provides traders with clear, actionable insights into market dynamics and potential arbitrage opportunities.
█ Trade Direction
While this tool does not provide direct trading signals, it informs traders about potential arbitrage opportunities and the prevailing market sentiment. Traders can leverage this data to make strategic decisions, aligning long or short positions with the anticipated market movements and arbitrage conditions.
█ Usage
By inputting specific parameters related to their market analysis, traders can monitor discrepancies in Bitcoin’s pricing across different timelines, which is especially beneficial for those involved in derivatives trading, arbitrage, and sentiment analysis.
█ Default Settings
- Resolution: Controls the frequency of data (default is daily).
- Show numbers in annual: Determines whether APY is displayed on an annual basis.
- Base Symbol and Future Symbols: Specify the spot and futures markets for analysis.
Support Resistance - CryptoPredixHow this indicator works :
1. Setup and Inputs: The script sets up user inputs for various parameters such as pivot period (prd), pivot source (ppsrc), maximum channel width (ChannelW), maximum number of support/resistance levels (maxnumsr), minimum strength (min_strength), label location (labelloc), line style (linestyle), and line width (linewidth).Colors for support and resistance lines are also defined (supportcolor, resistancecolor).
2. Pivot Point Calculation: The script calculates pivot high and pivot low values based on the selected source (either High/Low or Close/Open).It uses the ta.pivothigh and ta.pivotlow functions to identify these pivot points over the specified period (prd).
3. Plotting Pivot Points: If the showpp option is enabled, the script plots pivot high and pivot low points on the chart using plotshape.
4. Managing Pivot Values: The script maintains an array (pivotvals) to store recent pivot values, ensuring the number of stored values does not exceed the maximum specified (maxnumpp).
5. Support and Resistance Zone Calculation: It calculates support and resistance zones by finding ranges of pivot values that fall within a specified channel width (cwidth).The function get_sr_vals returns the highest, lowest values, and the number of pivot points within the channel width.
6. Storing Support and Resistance Levels: The script manages arrays for support and resistance levels (sr_up_level, sr_dn_level) and their strength (sr_strength).It uses the check_sr function to ensure that new support/resistance levels are valid and don't overlap with existing ones unless they have higher strength.
7. Label and Line Management: The script dynamically updates labels and lines for the support and resistance levels, adjusting their positions, colors, and styles based on the latest data.It ensures the labels and lines are in sync with the current bar index and close price.
8. Identifying Crossings: Functions f_crossed_over and f_crossed_under check if the close price has crossed above or below the identified support or resistance levels.These functions iterate through the support/resistance arrays and check the conditions for crossing.
9. Alerts: The script sets up alert conditions to notify when the price crosses above a resistance level or below a support level.Alerts are configured with titles and messages ('Resistance Broken' and 'Support Broken').
10. Visualization: The script provides visual cues on the chart by plotting support and resistance lines with different styles and colors.It also dynamically updates labels to display the level values and their percentage distance from the current close price.
This script helps traders identify key support and resistance levels on a chart, providing both visual cues and alerts for significant price movements relative to these levels.
Sticky Notes, Checklist, To-do, Journal [algoat]I forgot to bring my notes again...
Ever feel like your trading notes are all over the place, much like your portfolio after a market dip? Worry not! With this script, you'll have all your trading notes, tasks, and brilliant (or not so brilliant) ideas neatly organized right on your chart. It's like having a sticky note board, but way cooler and without the risk of paper cuts.
⭐ Features :
To-Do Lists
Keep track of tasks with satisfying checkmarks for those dopamine hits.
Journal Entries
Document your market insights, trade plans, or just random thoughts. "I forgot something" – we've all been there.
Due Dates
Never miss an important deadline again. Red alert for overdue tasks because procrastination is a trader's worst enemy.
Customization
Choose the size and position of your notes because one size doesn't fit all.
Perfect for the organized trader who loves a bit of fun or the chaotic one who needs a bit of structure. Embrace the power of notes and stay on top of your trading game!
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🧠 General advice
Trading effectively requires a range of techniques, experience, and expertise. From technical analysis to market fundamentals, traders must navigate multiple factors, including market sentiment and economic conditions. However, traders often find themselves overwhelmed by market noise, making it challenging to filter out distractions and make informed decisions. By integrating multiple analytical approaches, traders can tailor their strategies to fit their unique trading styles and objectives.
Confirming Signals with other indicators
As with all technical indicators, it is important to confirm potential signals with other analytical tools, such as support and resistance levels, as well as indicators like RSI, MACD, and volume. This helps increase the probability of a successful trade.
Use proper risk management
When using this or any other indicator, it is crucial to have proper risk management in place. Consider implementing stop-loss levels and thoughtful position sizing.
Combining with other technical indicators
The indicator can be effectively used alongside other technical indicators to create a comprehensive trading strategy and provide additional confirmation.
Keep in mind
Thorough research and backtesting are essential before making any trading decisions. Furthermore, it's crucial to have a solid understanding of the indicator and its behavior. Additionally, incorporating fundamental analysis and considering market sentiment can be vital factors to take into account in your trading approach.
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⭐ Conclusion
We hold the view that the true path to success is the synergy between the trader and the tool, contrary to the common belief that the tool itself is the sole determinant of profitability. The actual scenario is more nuanced than such an oversimplification. A word to the wise is enough: developed by traders, for traders — pioneering innovations for the modern era.
Risk Notice
Everything provided by algoat — from scripts, tools, and articles to educational materials — is intended solely for educational and informational purposes. Past performance does not assure future returns.
HTF Ascending TriangleHTF Ascending Triangle aims at detecting ascending triangles using higher time frame data, without repainting nor misalignment issues.
Ascending triangles are defined by an horizontal upper trend line and a rising lower trend line. It is a chart pattern used in technical analysis to predict the continuation of an uptrend.
This indicator can be useful if you, like me, believe that higher time frames can offer a broader perspective and provide clearer signals, smoothing out market noise and showing longer-term trends.
You can change the indicator settings as you see fit to tighten or loosen the detection, and achieve the best results for your use case.
Features
It draws the detected ascending triangle on the chart.
It supports alerting when a detection occurs.
It allows for setting the higher time frame to run the detection on.
It allows for setting the minimum number of consecutive valid higher time frame bars to fit the pattern criteria.
It allows for setting a high factor detection criteria to apply on higher time frame bars high as a proportion of the distance between the reference bar high and open/close.
It allows for turning on an adjustment of the triangle using highest/lowest values within valid higher time frame bars.
Settings
Higher Time Frame dropdown: Selects higher time frame to run the detection on. It must be higher than, and a multiple of, the chart's timeframe.
Valid Bars Minimum field: Sets minimum number of consecutive valid higher time frame bars to fit the pattern criteria.
High Factor checkbox: Turns on/off high factor detection criteria.
High Factor field: Sets high factor to apply on higher time frame bars high as a proportion of the distance between the reference bar high and close/open.
Adjust Triangle checkbox: Turns on/off triangle adjustment using highest/lowest values within valid higher time frame bars.
Detection Algorithm Notes
The detection algorithm recursively selects a higher time frame bar as reference. Then it looks at the consecutive higher time frame bars (as per the requested number of minimum valid bars) as follows:
Low must be higher than previous bar.
Open/close max value must be lower than reference bar high.
When high factor criteria is turned on, high must be higher than reference bar open/close max value plus high factor proportion of the distance between reference bar high and open/close max value.
Volume Surge Analysis [UAlgo]The "Volume Surge Analysis " indicator is designed to detect significant volume surges in the market. By analyzing volume relative to its moving average and incorporating a comparison of the true range of price movements, this script highlights potential bullish and bearish volume spikes. Traders can utilize these signals to identify moments of heightened market activity that may indicate strong buying or selling pressure.
🔶Features
Volume Multiplier: Customizable setting to define the threshold for what constitutes a volume surge.
Volume SMA Length: Adjustable length for the Simple Moving Average (SMA) of volume.
Price Movement Analysis
Enhances the volume analysis by adding an additional layer of context, helping to confirm whether a volume surge is associated with buying or selling pressure.
True Range Calculation: Measures the range of price movement to understand volatility.
Positive Movement (DM+): Calculated when the current high minus the previous high is greater than the previous low minus the current low. This helps identify strong upward movements.
Negative Movement (DM-): Calculated when the previous low minus the current low is greater than the current high minus the previous high. This helps identify strong downward movements.
Integration with Volume Analysis: By combining the volume analysis with price movement analysis, the script can more accurately determine whether a volume surge is likely driven by bullish or bearish sentiment. This integration helps filter out false signals and provides more reliable indications of market activity.
Median Volume Comparison: Compares the current volume against the median volume multiplied by the volume multiplier to identify significant volume spikes.
Bullish and Bearish Surge Signals: Plots circles above or below bars where significant volume surges occur, indicating potential bullish or bearish movements.
Color Customization: Options to set specific colors for bullish and bearish signals to enhance visual clarity.
Bar Coloring: Optional feature to change the color of bars based on detected volume surges.
Alerts: Configurable alerts for bullish and bearish volume spikes to notify traders in real-time.
🔶Interpretation:
Bullish Volume Surges ( Teal Circles ): These circles appear above the bar when the current volume exceeds the median volume by the specified Volume Multiplier, and the smoothed Positive Directional Index (PDI) is greater than the smoothed Negative Directional Index (NDI). This suggests a potential uptrend with strong buying pressure.
Bearish Volume Surges ( Red Circles ): These circles appear below the bar when the current volume exceeds the median volume by the specified Volume Multiplier, and the smoothed NDI is greater than the smoothed PDI. This suggests a potential downtrend with strong selling pressure.
Overall, the "Volume Surge Analysis " indicator serves as a valuable tool for traders seeking to identify potential trend reversals or strong continuations based on with an above-average rise in volume and directional momentum.
🔶Disclaimer
This indicator is intended for informational and educational purposes only and should not be construed as financial or investment advice. Trading involves substantial risk, and it is essential to conduct your own research and consult with a qualified financial advisor before making any trading decisions.
VAMSI ADVANCE Entry HelperThe "VAMSI Entry Helper" indicator is designed to assist traders in identifying potential entry points in the market by analyzing price equilibrium and liquidity equilibrium using a combination of Relative Strength Index (RSI) and moving averages. Here’s a detailed description of its components and functionality:
Components of the Indicator:
RSI (Relative Strength Index):
RSI Length: This parameter (rsiLengthInput) controls the period over which the RSI is calculated. It is set to 50 by default, but you can adjust it as needed.
RSI Source: The source of the price data for calculating the RSI, which is the closing price by default.
Moving Average (MA):
MA Type: You can choose between Simple Moving Average (SMA) and Exponential Moving Average (EMA) for smoothing the RSI values.
MA Length: This parameter (maLengthInput) controls the period over which the moving average of the RSI is calculated. It is set to 60 by default.
Functionality:
RSI Calculation:
The script calculates the RSI based on the selected source and length. RSI is a momentum oscillator that measures the speed and change of price movements and oscillates between 0 and 100.
The RSI calculation involves computing the average gains and losses over the specified period (rsiLengthInput), and then applying the RSI formula.
Moving Average of RSI:
After calculating the RSI, the indicator computes a moving average of the RSI values using the specified type (SMA or EMA) and length (maLengthInput). This smoothed RSI helps in identifying the equilibrium of liquidity.
Plots:
RSI Plot: The RSI values are plotted on the chart with a purple line (#4B0082), providing a visual representation of price equilibrium.
MA Plot: The moving average of the RSI is plotted with a black line, showing the smoothed trend of the RSI.
Middle Band: A horizontal line at the 50 level is plotted as a reference point, indicating the midpoint of the RSI scale. This can help in identifying overbought and oversold conditions.
Use Case:
Price Equilibrium: The RSI plot helps traders identify when the price is relatively strong or weak. RSI values above 70 may indicate an overbought condition, while values below 30 may indicate an oversold condition.
Liquidity Equilibrium: The moving average of the RSI provides a smoothed view of the RSI, helping traders see the overall trend of liquidity equilibrium.
Example Usage:
Entry Points: Traders might look for entry points when the RSI crosses above or below its moving average, indicating potential changes in momentum.
Overbought/Oversold Conditions: Traders can use the RSI values along with the middle band (50) to identify overbought (RSI > 70) and oversold (RSI < 30) conditions.
Customization:
RSI Length: Adjustable to fit different trading strategies and timeframes.
Source: You can change the source data for the RSI calculation (e.g., close, open, high, low).
MA Type and Length: You can choose between SMA and EMA and adjust the period to better fit your trading style.
This indicator provides a comprehensive tool for traders to analyze price and liquidity equilibrium, helping them make informed decisions about entry points in the market.
TrendMaster Pro IndicatorThe TrendMaster Pro Indicator is an advanced tool designed to assist traders in identifying potential buy and sell signals by leveraging a combination of exponential moving averages (EMAs), the relative strength index (RSI), and a custom volatility filter. This powerful indicator is suitable for traders of all levels and can be applied to various markets and timeframes, offering flexibility and reliability in trading decisions.
Key Features:
EMA Crossover Detection:
Utilizes a 5-period (short) and 13-period (long) EMA crossover to detect trend changes.
A bullish signal is generated when the 5 EMA crosses above the 13 EMA, indicating an upward trend.
A bearish signal is generated when the 5 EMA crosses below the 13 EMA, indicating a downward trend.
RSI Confirmation:
Incorporates a 14-period RSI to confirm the strength of detected trends.
A buy signal is validated when the RSI is above 50, indicating bullish momentum.
A sell signal is validated when the RSI is below 50, indicating bearish momentum.
Custom Volatility Filter:
Employs a volatility filter based on the standard deviation of closing prices over a specified period (default is 10 periods).
Ensures signals are only generated during periods of significant market movement, reducing noise and false signals.
The volatility threshold can be adjusted to suit different market conditions and trading styles.
How It Works:
EMA Crossover:
The TrendMaster Pro Indicator continuously monitors the crossover between the 5-period and 13-period EMAs.
A crossover event triggers the initial signal, suggesting a potential change in trend direction.
RSI Confirmation:
After an EMA crossover, the indicator checks the 14-period RSI value to confirm the trend's strength.
This confirmation step helps filter out weak or unreliable signals, ensuring only high-probability trades are considered.
Volatility Filter:
The indicator calculates the standard deviation of closing prices over the selected period to measure market volatility.
Signals are only generated if the volatility exceeds the user-defined threshold, ensuring that trades are made in active and dynamic market conditions.
How to Use:
Apply the Indicator:
Add the TrendMaster Pro Indicator to your trading chart via the TradingView platform.
Customize the EMA, RSI, and volatility settings according to your trading preferences and the specific market conditions.
Interpret Buy and Sell Signals:
Buy Signal: Look for a buy signal when the 5 EMA crosses above the 13 EMA, the RSI is above 50, and volatility exceeds the threshold. This combination indicates a strong bullish trend.
Sell Signal: Look for a sell signal when the 5 EMA crosses below the 13 EMA, the RSI is below 50, and volatility exceeds the threshold. This combination indicates a strong bearish trend.
Adjust Settings:
The default settings can be fine-tuned to match your trading strategy. Adjust the EMA lengths, RSI period, and volatility threshold to optimize the indicator for different assets and timeframes.
Unique Features:
Comprehensive Trend Detection: Combines multiple indicators (EMAs, RSI, volatility) to provide a holistic view of market trends.
Customizable: Easily adjustable settings allow traders to tailor the indicator to their specific needs and preferences.
Noise Reduction: The volatility filter ensures signals are generated only during significant market movements, improving signal accuracy and reliability.
Conclusion:
The TrendMaster Pro Indicator is a versatile and powerful tool that can enhance your trading strategy by providing clear and reliable buy and sell signals. Whether you are a day trader or a swing trader, this indicator can help you navigate the markets with confidence and precision. Add the TrendMaster Pro Indicator to your toolkit today and experience a new level of trading efficiency and effectiveness.
Total Cross CalculatorThe Indicator calculates the total number of the death and golden crosses in the total chart which can help the moving average user to compare the number of signals generated by the moving average pair in the given timeframe.
If Indicator is not plotting anything then right click on the indicator's scale and click on "Auto(data fits the screen)" option.
Please visit it's previous version if you want to use the indicator on the moving averages created by yourself. Link is here
CPR by MTThe CPR indicator, or Central Pivot Range indicator, is a technical analysis tool used in trading to identify potential support and resistance levels based on the price action of a security. Developed by pivot point theory, it is particularly popular among day traders and swing traders. The CPR indicator consists of three lines:
1. **Pivot Point (PP):** This is the central line and is calculated as the average of the high, low, and closing prices from the previous trading period.
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2. **Top Central Pivot (TC):** This is calculated by subtracting the low from the PP and then adding the result to the PP.
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3. **Bottom Central Pivot (BC):** This is calculated by subtracting the high from the PP and then adding the result to the PP.
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### How to Use the CPR Indicator
- **Trend Identification:** A wide CPR range indicates low volatility and a potential sideways or consolidation phase. A narrow CPR range indicates high volatility and a potential strong trending move.
- **Support and Resistance:** The top and bottom central pivots act as immediate resistance and support levels. If the price is above the TC, it indicates a bullish sentiment, while if it is below the BC, it indicates a bearish sentiment.
- **Entry and Exit Points:** Traders use the CPR lines to determine optimal entry and exit points. For example, if the price breaks above the TC and sustains, it may signal a buy opportunity, whereas a drop below the BC may signal a sell opportunity.
### Practical Example
Suppose a stock had a high of $105, a low of $95, and a closing price of $100 on the previous day. The CPR levels for the next day would be calculated as follows:
1. **Pivot Point (PP):**
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2. **Top Central Pivot (TC):**
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3. **Bottom Central Pivot (BC):**
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The levels for the next day would be PP = $100, TC = $110, and BC = $90. Traders would then use these levels to assess potential trading strategies based on where the price moves relative to these levels.
### Conclusion
The CPR indicator is a useful tool for traders looking to understand market conditions and make informed decisions about entry and exit points. Its effectiveness comes from its ability to highlight key price levels derived from historical price data, helping traders predict potential market movements.
Juice RemedyThis Remedy suite is a remake of the Auto Remedy suite.
We have improved the performance and added a few new features.
Updated:
- Converted some boxes to lines to mitigate the limit of 500.
- Rewrote the code and disabled blocks if features are turned off
New features:
- RSI based candle colors
- Added features to limit historical renders
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RSI Candles tells you the RSI and volatility by coloring the candlesticks. The different stages are: overbought, oversold, neutral and a top and bottom RSI / EMA crossover.
There is also an option to enable the RSI signal on the chart to see when it's entering an overbought or oversold area.
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Volume Profile displays a vertical histogram on the right side of the price chart, representing the volume traded at each price level. The length of each bar corresponds to the total volume traded at that particular price level. Traders can analyze the shape and distribution of the Volume Profile to gain valuable information about the market structure.
Here's how Volume Profile is used and applied in trading:
Identifying Areas of High Volume:
Volume Profile helps traders identify areas of high trading activity. Peaks in the Volume Profile histogram indicate price levels where significant buying or selling pressure was present. These areas can act as support or resistance levels in the future, as they represent levels where traders have previously shown interest.
Understanding Price Acceptance and Rejection:
Volume Profile assists in determining whether the market has accepted or rejected specific price levels. When the volume is higher at a particular price level, it suggests that traders have accepted that price and consider it fair. On the other hand, low volume at a price level indicates rejection, suggesting that traders are not willing to transact at that price.
Identifying Value Areas:
Volume Profile can help identify value areas, which are price regions where the most volume has been traded. These areas are considered significant as they reflect levels where the market has found fair value and attracted substantial trading activity. Traders often pay attention to these value areas as potential support or resistance zones.
Confirming Breakouts and Reversals:
Volume Profile can be used to confirm the validity of breakouts and reversals. If a price breaks out of a range with high volume, it suggests strong conviction and increases the likelihood of a sustained move. Similarly, if a price reverses near a high-volume area, it provides additional confirmation of a potential trend reversal.
Assessing Market Sentiment:
By analyzing the shape and structure of the Volume Profile, traders can gain insights into market sentiment. A balanced Volume Profile with volume evenly distributed across price levels indicates a neutral market. Skewed or asymmetrical Volume Profiles may suggest bullish or bearish sentiment, depending on where the volume is concentrated.
It's important to note that traders often combine Volume Profile with price patterns, trendlines, and momentum indicators to validate signals and develop a comprehensive understanding of the market.
By studying the Volume Profile, traders can gain a clearer picture of where significant trading activity has occurred and identify levels of potential support, resistance, and value. This information can assist in making more informed trading decisions and improving overall market analysis.
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VWAP(Volume Weighted Average Price) is a technical analysis tool that calculates the average price weighted by trading volume over a specified time period. It provides traders with insights into the average price at which a particular asset has traded during a given period, considering the volume traded at each price level.
Here's a general explanation of VWAP and its application in trading:
Calculation of VWAP:
VWAP is calculated by multiplying the price of each trade by its corresponding volume, summing these values over a specific time period, and dividing the total by the cumulative volume. The calculation continuously updates as new trades occur within the specified time frame.
Interpretation of VWAP:
VWAP is primarily used as a reference point to assess whether a current price is relatively high or low compared to the average price weighted by volume. Traders compare the current price to the VWAP to gauge whether the price is trading above or below the average level. If the price is above VWAP, it suggests that the asset is trading at a premium, while a price below VWAP indicates a discount.
VWAP as a Trading Indicator:
Traders use VWAP in various ways to support their trading decisions. Here are a few common applications:
a. Trend Identification: Traders analyze the relationship between the current price and VWAP to identify the prevailing market trend. If the price consistently trades above VWAP, it is often seen as a bullish signal, while prices below the VWAP is considered a bearish signal. This approach helps traders align their trades with the overall market direction.
b. Support and Resistance Levels: VWAP can act as a dynamic support or resistance level. Traders observe how the price reacts when approaching the VWAP. If the price bounces off the VWAP and continues in the direction of the prevailing trend, it may indicate support or resistance. Traders can use the VWAP as a reference for setting stop-loss levels or determining potential entry or exit points.
c. Reversal Signals: In some cases, when the price deviates significantly from VWAP, it may indicate overbought or oversold conditions. Traders watch for price reversals when the price moves away from the VWAP, potentially signaling a short-term market reversal.
d. Volume Analysis: VWAP considers volume along with price, providing insights into the significance of price moves. Traders analyze the relationship between volume and VWAP to evaluate the strength of price movements. Higher volume trading near the VWAP may suggest increased market interest and potential continuation of the trend.
It's worth noting that the VWAP is often used in intra-day trading and is more relevant for short-term analysis. Traders typically adjust the VWAP time frame based on their trading style and the asset being analyzed.
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The Zig Zag works by filtering out price movements below a certain threshold (percentage or points) and only displaying significant price changes. This helps to eliminate minor price fluctuations and focus on the more substantial market movements.
When applying the Zig Zag indicator, traders typically select a percentage or point value as the threshold. For example, if a 5% threshold is chosen, the Zig Zag indicator will only plot a new point when the price has moved up or down by at least 5% from the previous significant high or low.
The indicator plots lines connecting the significant highs and lows on the price chart, creating a zigzag pattern. The lines are drawn in a way that reflects the change in the trend direction. The indicator can be adjusted to suit different timeframes and trading styles.
The primary purpose of the Zig Zag indicator is to identify and highlight trend reversals and price swings. Traders often use it to:
Identify major turning points: The Zig Zag indicator helps traders spot major highs and lows in the price action. These levels can act as potential support or resistance areas for future price movements.
Filter out noise: By filtering out minor price fluctuations, the Zig Zag indicator helps traders focus on the more significant price moves and trends. This can provide a clearer picture of the overall market direction.
Confirm chart patterns: The Zig Zag indicator can be used to confirm the validity of chart patterns, such as trendlines, channels, or chart formations. It can help traders validate breakouts, pullbacks, or continuation patterns.
Set trailing stops: Traders may use the Zig Zag indicator to set trailing stops based on the significant swing highs and lows. This allows them to trail their stop-loss orders behind the price action and potentially lock in profits as the trend develops.
Additionally, it's essential to customize the settings of the Zig Zag indicator according to the specific market being analyzed, as different markets and timeframes may require different threshold values for optimal performance.
Please keep in mind that while the Zig Zag indicator can provide valuable insights, it should be used alongside other analysis tools and not solely relied upon for trading decisions.
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Fibonacci extensions and retracements are both technical analysis tools that traders use to identify potential levels of support and resistance in financial markets. Here's a clear understanding of each concept and how they are used in trading:
1. Fibonacci Retracement:
Fibonacci retracement is based on the idea that after an upward or downward price movement, the price tends to retrace a portion of that move before continuing in the original direction. The key levels used in Fibonacci retracement are based on ratios derived from the Fibonacci sequence, such as 0.382 (38.2%), 0.500 (50%), and 0.618 (61.8%).
To apply Fibonacci retracements, traders typically select two significant points on a price chart: a swing high and a swing low. The retracement levels are then plotted as horizontal lines based on the Fibonacci ratios. These levels act as potential support (in an uptrend) or resistance (in a downtrend) where the price may reverse or consolidate before resuming the overall trend.
Traders often use Fibonacci retracement levels to identify potential entry or exit points, place stop-loss orders, or assess the strength of a trend. The most commonly used retracement levels are 38.2%, 50%, and 61.8%, but other Fibonacci ratios like 23.6% and 78.6% are also sometimes used.
2. Fibonacci Extension:
Fibonacci extension is used to identify potential price targets beyond the initial trend or price move. It helps traders determine where the price may reach once it surpasses the previous swing high or swing low.
Similar to Fibonacci retracement, Fibonacci extension levels are derived from the Fibonacci sequence. The most commonly used extension levels are 138.2%, 161.8%, 261.8%, and 423.6%, although other ratios can also be applied.
To use Fibonacci extension, traders select three points on a price chart: a swing low, a swing high (corresponding to the previous trend), and a subsequent swing low or swing high (from where the extension is projected). The extension levels are then projected beyond the swing high or swing low, acting as potential price targets or areas of interest.
Fibonacci extension levels are often used to determine potential profit targets or to identify areas where a trend may reverse or consolidate. Traders may also use extensions in conjunction with other technical analysis tools to confirm trade signals or assess the overall market structure
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The Pitchfan tool is based on the concept of Andrew's Pitchfork, which is a popular technical analysis tool developed by Dr. Alan H. Andrews. It consists of three parallel trendlines that are drawn to encompass the price action of an asset. The trendlines are typically drawn by connecting three significant points on a price chart - usually a pivot high, a pivot low, and another pivot high.
Once the Pitchfork is plotted, the Pitchfan tool extends the concept by adding additional trendlines that are parallel to the original Pitchfork. These additional trendlines are drawn based on certain mathematical ratios (e.g., Fibonacci ratios) applied to the distance between the original trendlines.
The Pitchfan can be used to identify potential support and resistance levels, as well as potential areas for price reversal or continuation. Traders may look for price reactions near these trendlines, with the expectation that the price may find support or encounter resistance at these levels.
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Higher timeframe opens refer to the opening prices of different sessions or timeframes above the one being currently analyzed. For example, in intra-day trading, higher timeframe opens can refer to the daily session open or the opening prices of other significant market sessions in the forex market.
In addition to higher timeframe opens, traders often utilize daily reference ranges by incorporating indicators such as Average True Range (ATR) and the previous day's range. These tools help traders gauge the potential price volatility for the day and establish reference levels for stop-loss orders, profit targets, overall risk management strategies and market knowledge to develop a comprehensive trading approach.
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Disclaimer : Please note that trading success relies on adhering to your trading strategy, and indicators should be used in accordance with your strategy rather than being the sole basis for trading decisions.
The provided script is intended solely for informational and educational purposes. Its use does not constitute professional or financial advice. It is your sole responsibility to evaluate the script's output and assess the risks associated with its use. By utilizing the script, you agree not to hold "JuiceSignals" TradingView user liable for any potential claims for damages that may arise from decisions made based on the use of the script.
Multiple MAs Signals with RSI MA Filter & Signal About the Script
The "Multiple Moving Averages Signals with RSI MA Filter and Golden Signals" script is a comprehensive trading tool designed to provide traders with detailed insights and actionable signals based on multiple moving averages and RSI (Relative Strength Index). This script combines traditional moving average crossovers with RSI filtering to enhance the accuracy of trading signals and includes "golden" signals to highlight significant long-term trend changes.
This script integrates several technical indicators and concepts to create a robust and versatile trading tool. Here's why this combination is both original and useful:
1. Multiple Moving Averages:
- Why Use Multiple MAs: Different types of moving averages (SMA, EMA, SMMA, WMA, VWMA, Hull) offer unique perspectives on price trends and volatility. Combining them allows traders to capture a more comprehensive view of the market.
- Purpose: Using multiple moving averages helps identify trend direction, support/resistance levels, and potential reversal points.
2. RSI MA Filter:
- Why Use RSI: RSI is a momentum oscillator that measures the speed and change of price movements. It is used to identify overbought or oversold conditions in a market.
- Purpose: Filtering signals with RSI moving averages ensures that trades are taken in line with the prevailing momentum, reducing the likelihood of false signals.
3. Golden Signals:
- Why Use Golden Crosses: A golden cross (50-period MA crossing above the 200-period MA) is a well-known bullish signal, while a death cross (50-period MA crossing below the 200-period MA) is bearish. These signals are widely followed by traders and institutions.
- Purpose: Highlighting these significant long-term signals helps traders identify major buy or sell opportunities and align with broader market trends.
How the Script Works
1. Moving Average Calculations:
- The script calculates multiple moving averages (MA1 to MA5) based on user-selected types (SMA, EMA, SMMA, WMA, VWMA, Hull) and periods (9, 21, 50, 100, 200).
- Golden Moving Averages: Separately calculates 50-period and 200-period moving averages for generating golden signals.
2. RSI and RSI MA Filter:
- RSI Calculation: Computes the RSI for the given period.
- RSI MA: Calculates a moving average of the RSI to smooth out the RSI values and reduce noise.
- RSI MA Filter: Traders can enable/disable RSI filtering and set custom thresholds to refine long and short signals based on RSI momentum.
3. Long & Short Signal Generation:
- Long Signal: Generated when the short-term moving average crosses above both the mid-term and long-term moving averages, and the RSI MA is below the specified threshold (if enabled).
- Short Signal: Generated when the short-term moving average crosses below both the mid-term and long-term moving averages, and the RSI MA is above the specified threshold (if enabled).
4. Golden Signals:
- Golden Long Signal: Triggered when the 50-period golden moving average crosses above the 200-period golden moving average.
- Golden Short Signal: Triggered when the 50-period golden moving average crosses below the 200-period golden moving average.
How to Use the Script
1. Customize Inputs:
- Moving Averages: Choose the type of moving averages and set the periods for up to five different moving averages.
- RSI Settings: Adjust the RSI period and its moving average period. Enable or disable RSI filtering and set custom thresholds for long and short signals.
- Signal Colors: Customize the colors for long, short, and golden signals.
- Enable/Disable Signals: Toggle the visibility of long, short, and golden signals.
2. Observe Plots and Signals:
- The script plots the selected moving averages on the chart.
- Long and short signals are marked with labels on the chart, with customizable colors for easy identification.
- Golden signals are highlighted with specific labels to indicate significant long-term trend changes.
3. Analyze and Trade:
- Use the generated signals as part of your trading strategy. The script provides visual cues to help you make informed decisions about entering or exiting trades based on multiple technical indicators.
Unique Features
1. Integration of Multiple Moving Averages: Combines various moving average types to provide a holistic view of market trends.
2. RSI MA Filtering: Enhances signal accuracy by incorporating RSI momentum, reducing the likelihood of false signals.
3. Golden Signals: Highlights significant long-term trend changes, aligning with broader market movements.
4. Customizability: Offers extensive customization options, allowing traders to tailor the script to their specific trading strategies and preferences.
feel free to comments.
KillZones & Sessions [TradingFinder] Volume | Asia, London & NY🔵 Introduction
🟣 Session
The forex market operates 24 hours a day, 5 days a week, with only Saturdays and Sundays being off; traders often focus on one of the forex trading sessions instead of trying to trade in all markets 24 hours a day.
Trading sessions are time intervals during which a specific financial market is active and trades are conducted. The Asia, London, and New York sessions are the most important trading sessions throughout the 24-hour period, during which a significant amount of money and liquidity enters the market.
🟣 Kill Zone
Traders in financial markets profit from the difference between the price at which they buy or sell and the current market price. Traders have different time horizons for trading.
Among these, some traders engage in daily or even hourly trading and must operate during times when the market has desirable trading volumes and significant price movements.
Kill zones are segments of a session with higher trading volumes and price fluctuations compared to the rest of the session.
🔵 How to Use
🟣 Session Time
The "Asia Session" consists of two sessions: "Sydney" and "Tokyo." The beginning of this session, according to the "UTC" time zone, is at 23:00 and ends at 06:00. Similarly, the beginning of the "Asia KillZone," according to the "UTC" time zone, is at 23:00, and it ends at 03:55.
The "London Session" consists of two sessions: "Frankfurt" and "London." The beginning of this session, according to the "UTC" time zone, is at 07:00, and it ends at 14:25. Similarly, the beginning of the "London KillZone," according to the "UTC" time zone, is at 07:00, and it ends at 09:55.
The beginning of the "New York am" session, according to the "UTC" time zone, is at 14:30, and it ends at 19:25. Similarly, the beginning of the "New York am KillZone," according to the "UTC" time zone, is at 14:30, and it ends at 16:55.
The beginning of the "New York pm" session, according to the "UTC" time zone, is at 19:30, and it ends at 22:55. Similarly, the beginning of the "New York pm KillZone," according to the "UTC" time zone, is at 19:30, and it ends at 20:55.
Important : To prevent session overlap, the working hours of each session have slightly changed.
🔵 Features
🟣 Simultaneous Session and Kill Zone
With this indicator, you can simultaneously view the kill zone and session. High and low lines are used to indicate sessions, while filled areas with color represent kill zones. If you do not want to see kill zones, you can turn off the display settings.
🟣 Candle, Time, and Volume
Using the "More Info" feature, you can see the number of candles, elapsed time, and traded volume within the colored filled area.
🔵 Settings
•Show More Info: To display "More Info," you need to turn on this feature and turn it off whenever you don't need it.
• You can also customize these settings for each session separately :
o Display or hide session.
o Choose session color.
o Set session time range.
o Display or hide kill zone.
o Set kill zone time range.
Papercuts Recency CandlesPapercuts Recency Candles
V0.8 by Joel Eckert @PapercutsTrading
***This is currently an experimental visual exploratory concept.***
*** Experimental tools should only be explored by fellow coders and experienced traders.***
DESCRIPTION:
As coders, how can we seamlessly transition between actual and smoothed price data sets as data ages?
This is a visual experiment to see if and how data can be smoothly transitioned from one value to another over a set number of candles. If we visualize a chart in 3 zones, a head, a body, and a tail we can start to understand how this could work. The head zone would represent the first data set of actual asset prices. The body zone would represent the transition period from the first to the to the second data set. Last, the tail zone would represent the second data set made of a Hull Moving Average of the asset.
CONCEPT:
It is conceived that data and position precision constantly shift as they decay or age, therefore making older price levels act more like price regions or zones vs exact price points. This is what I am calling Recency.
This indicator utilizes the concept of "Recency" to explore the possibility of a new style of candle. It aims to maintain accurately on recent prices action but loosen up accuracy on older price action. The very nature of this requires ALTERING HISTORICAL DATA within the body zone or transition candles to achieve the effect. It is similar to trying to merge a line chart type with a candle chart type.
This experiment of using recency for candles was to create candles that stay more accurate near current price but fade away into a simple line as they age out, resulting in a simplified view of the big picture which consists of older price action.
This experimental design theoretically will help you stay focused only on what is currently unfolding and to minimize distractions from older price nuances.
USAGE:
WHO:
This is not recommended for new traders or novices that are unfamiliar with standard tools. Standardized tools should always be used to get grounded and build a foundation.
Active traders who are familiar with trading comfortably should experiment with this to see if they find it interesting or usable.
Pine coders may find this concept interesting enough, and may adapt the idea to other elements of their own scripts if they find it interesting… I just ask they give credit where credit is due.
HOW:
The best way to visualize how this works is to do the following:
Load it on a chart.
Turn off Standard candles in Chart Setting of the current window. I actually just turn off the bodies and borders, and dim the old wicks as I like the way the old wicks look when left alone with these new candles.
Enable chart replay at a faster speed, like 3x, and play back the chart to watch the behavior of the candles.
You’ll be able to see how the head of the candle type preserves OHLC, and indicates direction but as the candle starts to age it progressively flowers into the HMA
While it plays back try adjusting settings to see how they affect behavior.
You can see the data average in real-time which often reveals how unstable actual price noise really is.
The head candle diagonals indicate the candle body direction.
SETTINGS:
Coloring: You can choose your own bullish or bearish colors to match your scheme.
Price Line: The price line is colored according to the trend and
Head Length: These candles are true to the source high and low. They remain slightly brighter than transition candles. We have a max of 50 to keep things responsive.
Time Decay Length: This is the amount of candles it takes to transition to the tail. Max is 300 to keep things responsive.
Decay Continuity: This forces transition candles to complete the HMA curve instead of creating gaps when conforming to it. The best way to visualize this feature is to run a 3x replay of an asset, and toggle the result on and off. On is preferred.
Tail HMA Length: This is the smoothing amount for the resulting HMA stepline that calculates every close, but has a delayed draw until after the transition candles. You can optionally turn off the delayed visibility to help with comprehension.
Tail HMA Weight: This is simply an option to make the tail thicker or thinner. This also adjusts the border on the head candles to help them stand out.
Show Side Bias Dots: Default true: Draws a dot when bias to one side changes to help keep you on the right side of trade. Side bias is simply the alignment of 3 moving averages in one direction.
IMPORTANT NOTES:
You'll have to turn off or dim the standard candles in your view "Chart Settings" to see this properly.
Be aware that since the candles are based on boxes and utilize the “recency concept”, which means their data decays and changes as it ages. This results in a cleaner chart overall, but exact highs and lows will be averaged out as the data decays, forming a Hull Moving Average stepline of your defined length once decay has finished.
SUMMARY OF HOW IT WORKS:
First it takes candle information and creates unique boxes that represent each candle based on the high and low. It utilizes boxes because standard candles once written, cannot be later altered or removed… which is a key element for this effect to work.
Next it creates a second box and line from open to close for the body of the Head candles. This indicates direction at a glance.
As candles age beyond the defined distance of the “Head” they enter the "Body" aka "Time Decay" zone. Here the accuracy of the high and low will be averaged down using an incremental factor of the HMA, defined by "Time Decay Length" amount of candles.
The resulting tail is an HMA of Tail HMA Length. This tail is always calculate at close, but is not drawn instantly. The draw is delayed so that there is not overlapping data, and this makes the effect look more elegant.
There are also two EMAs within the script that do nothing but help candle coloring and help provide a trade side bias. When both EMA's and the HMA align, a side bias is defined. Only when the side bias changes will a new dot is formed.
Head candles have been simplified from previous versions to be easier to read at a a glance.
