ProfitTrailer EMAGAIN + SMAGAINSimple Visualization of the EMAGAIN + SMAGAIN buy triggers used by Profit Trailer
In den Scripts nach "profit" suchen
RBS | Profitholders Thanks for source code author , I have modified this for especially Indian market.
RBS Indicator is Rang Breakout System, This is same "Opening Range Breakout" which is a common trading strategy. The indicator can analyze the market trend in the current session and give "Buy / Sell", "Take Profit" and "Stop Loss" signals. For more information about the analyzing process of the indicator, you can read "How Does It Work ?" section of the description.
Features of RBS indicator :
Buy & Sell Signals
Up To 3 Take Profit Signals
Stop-Loss Signals
Alerts for Buy / Sell, Take-Profit and Stop-Loss
Session Dashboard
Back testing Dashboard
HOW DOES IT WORK ?
This indicator works best in 15-minute timeframe. Need to change Chart time frame depends on symbols , The idea is that the trend of the current session can be forecasted by analyzing the market for a while after the session starts. However, each market has it's own dynamics and the algorithm will need fine-tuning to get the best performance possible. So, we've implemented a "Back testing Dashboard" that shows the past performance of the algorithm in the current ticker with your current settings. Always keep in mind that past performance does not guarantee future results. So this is for educational purpose.
Here are the steps of the algorithm explained briefly :
1. The algorithm follows and analyzes the first 15 minutes (can be adjusted) of the session.
2. Then, algorithm checks for breakouts of the opening range's high or low.
3. If a breakout happens in a bullish or a bearish direction, the algorithm will now check for retests of the breakout. Depending on the sensitivity setting, there must be 0 / 1 / 2 / 3 failed retests for the breakout to be considered as reliable.
4. If the breakout is reliable, the algorithm will give an entry signal.
5. After the position entry, algorithm will now wait for Take-Profit or Stop-Loss zones and signal if any of them occur.
If you wonder how does the indicator find Take-Profit & Stop-Loss zones, you can check the "Settings" section of the description.
UNIQUENESS
While there are indicators that show the opening range of the session, they come short with features like indicating breakouts, entries, and Take-Profit & Stop-Loss zones. We are also aware of that different stock markets have different dynamics, and tuning the algorithm for different markets is really important for better results, so we decided to make the algorithm fully customizable. Besides all that, our indicator contains a detailed back testing dashboard, so you can see past performance of the algorithm in the current ticker. While past performance does not yield any guarantee for future results, we believe that a back testing dashboard is necessary for tuning the algorithm. Another strength of this indicator is that there are multiple options for detection of Take-Profit and Stop-Loss zones, which the trader can select one of their liking.
⚙️SETTINGS
Keep in mind that best chart timeframe for this indicator to work is the 15-minute timeframe on Indian Market.
TP = Take-Profit
SL = Stop-Loss
EMA = Exponential Moving Average
OR = Opening Range
ATR = Average True Range
1. Algorithm
RBS Timeframe -> This setting determines the timeframe that the algorithm will analyze the market after a new session begins before giving any signals. It's important to experiment with this setting and find the best option that suits the current ticker for the best performance. More volatile stocks will often require this setting to be larger, while more stabilized stocks may have this setting shorter.
Sensitivity -> This setting determines how much failed retests are needed to take a position entry. Higher sensitivity means that less retests are needed to consider the breakout as reliable. If you think that the current ticker makes strong movements in a bullish & bearish direction after a breakout, you should set this setting higher. If you think the opposite, meaning that the ticker does not decide the trend right after a breakout, this setting show be lower.
(High = 0 Retests, Medium = 1 Retest, Low = 2 Retests, Lowest = 3 Retests)
Breakout Condition -> The condition for the algorithm to detect breakouts.
Close = Bar needs to close higher than the OR High Line in a bullish breakout, or lower than the OR Low Line in a bearish breakout. EMA = The EMA of the bar must be higher / lower than OR Lines instead of the close price.
TP Method -> The method for the algorithm to use when determining TP zones.
Dynamic = This TP method essentially tries to find the bar that price starts declining the current trend and going to the other direction, and puts a TP zone there. To achieve this, it uses an EMA line, and when the close price of a bar crosses the EMA line, It's a TP spot.
ATR = In this TP method, instead of a dynamic approach the TP zones are pre-determined using the ATR of the entry bar. This option is generally for traders who just want to know their TP spots beforehand while trading. Selecting this option will also show TP zones at the ORB Dashboard.
"Dynamic" option generally performs better, while the "ATR" method is safer to use.
EMA Length -> This setting determines the length of the EMA line used in "Dynamic TP method" and "EMA Breakout Condition". This is completely up to the trader's choice, though the default option should generally perform well. You might want to experiment with this setting and find the optimal length for the current ticker.
Stop-Loss -> Algorithm will place the Stop-Loss zone using setting.
Safer = The SL zone will be placed closer to the OR High for a bullish entry, and closer to the OR Low for a bearish entry.
Balanced = The SL zone will be placed in the center of OR High & OR Low
Risky = The SL zone will be placed closer to the OR Low for a bullish entry, and closer to the OR High for a bearish entry.
Adaptive SL -> This option only takes effect if the first TP zone is hit.
Enabled = After the 1st TP zone is hit, the SL zone will be moved to the entry price, essentially making the position risk-free.
Disabled = The SL zone will never change.
2. RBS Dashboard
RBS Dashboard shows the information about the current session.
3. RBS Back testing
RBS Back testing Dashboard allows you to see past performance of the algorithm in the current ticker with current settings.
Total amount of days that can be back tested depends on your TV subscription.
Back testing Exit Ratios -> You can select how much of percent your entry will be closed at any TP zone while back testing. For example, %90, %5, %5 means that %90 of the position will be closed at the first TP zone, %5 of it will be closed at the 2nd TP zone, and %5 of it will be closed at the last TP zone.
Profitable Parabolic SARIntroduction
As you know, Parabolic Stop and Reverse (SAR, PSAR) was originally developed by J. Welles Wilder and was described in his book "New Concepts in Technical Trading Systems" (1978). It derives its name from the fact that when charted, the pattern formed by the points resembles a parabola.
Mr. Wilder described it as "one of my favorite systems because it squeezes more profit out of an intermediate move than any method I know" .
Interpretation
PSAR follows price and can be considered a trend following indicator. Once a downtrend reverses and starts up, PSAR follows prices like a trailing stop. Same is true for the opposite direction.
Due to its nature, PSAR continuosly protects on long and short positions.
Parameters
One of the key components of PSAR is the Acceleration Factor (AF). The AF is one of a progression of numbers beginning at 0.02 and ending at 0.2 . The AF is increased by the increment of 0.02 each time that a new high is made until a value of 0.2 is reached.
Mr. Wilder used the next parameters
Start: 0.02
Increment: 0.02
Maximum: 0.2
and they are default for the built-in PSAR indicator and its strategy.
But are these params really profitable? Mr. Wilder noticed that "I have tried many different acceleration factors on this system and have found that a consistent increase of 0.02 works best overall...the range for the incremental increase is between 0.018 and 0.021 " .
That was then, in 1978. Other times have come. Is our grandpa still right in his recommendations?
I made this tool to figure it out.
What is this tool?
This tool is a performance scanner that uses a decision tree-based algorithm under the hood to find the most profitable settings for PSAR. It analyzes a bunch of different Start (between 0.001 to 0.02 ) and Increment (between 0.001 to 0.03 ) parameters and backtests each combination across the entire history of an instrument. If the more profitable parameters were found, the indicator will switch its values to the found ones immediately.
Instead of manually selecting parameters, just relax - the algorithm will do it for you.
It doesn't touch the last parameter, Maximum , for two reasons.
First, as Mr. Wilder noticed in his book, "...the number of increases it takes to reach at least 0.2 , but do not exceed 0.22 " . That is, the parameter sits in a very narrow range.
Second, I tested different maximums and I came to the conclusion that this parameter has a minimal impact on net profit, compared with the more significant parameters of start and increment.
Alerts
It has an alert that notifies when the more profitable settings were detected.
NOTE : It does not change what has already been plotted.
Good luck!
Profit Percentage TrackerThis script provides a quick and easy way to visualize profits in a chart, based on the given entry date and price.
Optionally, alerts can be sent when profits cross up the given " profit unit ".
In short:
Tracks how much profit one could take based on the input " entry date " and the input " entry price "
These inputs are interactive (www.tradingview.com)
Displays the result in a label on top of the last candle
(Optional) Sends alerts based on the given " profit unit ", that is: if ' 0.5 ' is given, then an alert is triggered every time the profit is raised by that number
(Be careful with low values, as TradingView could stop an alert if it triggers too much.)
For alerts to be displayed, a " script alert " must be created right after the script was added to the chart:
- www.tradingview.com
(Choose ' Profits ' as condition and ' Any alert() function call ')
Good to know: if you check " Notify on app ", alerts can be delivered directly to your phone:
i.imgur.com
Prerequirements :
The chart's timezone has to be set to " Exchange " (this is required in order to support the alert's logic):
- kodify.net
Profitable Vortex Indicator ScannerIntroduction
The Vortex Indicator is a technical indicator invented by Etienne Botes and Douglas Siepman (Technical Analysis of Stocks & Commodities, V.28:1 (January, 2010): "The Vortex Indicator") to identify the start of a new trend or the continuation of an existing trend within financial markets.
It is composed of two lines, +VI and -VI . +VI represents up trending momentum and -VI represents down trending momentum.
The most basic strategy is to use the crossovers as trade signals:
when +VI crosses above -VI , go Long
when -VI crosses above +VI , go Short
Exit when a crossover occurs in the opposite direction
What is this tool?
This tool is a performance scanner that uses a decision tree-based algorithm under the hood to find the most profitable period's setting for the indicator. It analyzes the range of periods between 2 to 100 and backtests the Vortex Indicator for each period using the strategy mentioned above across the entire history of an instrument.
Settings
Net Profit line is optional and can be hidden through settings.
Alerts
It has an alert that notifies when a more profitable period was detected.
NOTE : It does not change what has already been plotted.
Good luck!
Profitable MAMA & FAMA CrossoverIntroduction
The MESA Adaptive Moving Average (MAMA) was originally presented by John F. Ehlers. By design, it is a special kind of Exponential Moving Average with self-adjusting alpha. Its adaptation is based on the rate change of phase as measured by the Homodyne Discriminator and the alpha parameter is allowed to range between a maximum and minimum value (Fast Limit and Slow Limit).
Key Point: Ehlers suggested the maximum value to be 0.5 and the minimum to be 0.05 .
The variable alpha is computed as the Fast Limit divided by the phase rate of change. If the phase rate of change is large, the variable alpha is bounded at the SlowLimit. Then, this alpha is used to compute MAMA and FAMA (Following Adaptive Moving Average).
Should we rely on Ehlers' suggestions if we want to achieve the best result with MAMA & FAMA crossover system?
Well, he is a good specialist and widely recognized author, I respect him, but the answer is no and you can see results on the chart.
What is our goal?
We want to find the best configuration for MAMA & FAMA Crossover. To achieve that we need to analyze the MAMA's alpha parameter or, more specific, the bounds for this parameter, Fast and Slow Limits.
What is this tool?
This tool is a performance optimizer that uses decision tree-based algorithm under the hood to find the most profitable settings for the MAMA & FAMA Crossover. It analyzes a bunch of different Fast Limits (between 0.01 to 0.8 with step of 0.1 ) and Slow Limits (between 0.01 to 0.6 with step of 0.1 ) and backtests each combination across the entire history of an instrument. If the more profitable parameters were found, the indicator will switch its values to the found ones immediately.
So, instead of manually selecting and testing parameters just apply this indicator to your chart and
relax - the algorithm will find the best parameters for you
Alerts
It has a special alert that notifies when the more profitable settings were detected.
NOTE: It does not change what has already been plotted.
NOTE 2: This is not a strategy, but an algorithmic optimizer.
Reference: www.mesasoftware.com
MAMA & FAMA Crossover can be found here:
Profitable RSI (Relative Strength Index)Introduction
As you know the Relative Strength Index (RSI) was originally developed by J. Welles Wilder and was described in his book "New Concepts in Technical Trading Systems" (1978). It is intended to measure the strength or weakness of an instrument for the specified period.
The most basic strategy is to use the crossovers as trade signals:
when RSI crosses above 30, go Long
when RSI crosses below 70, go Short
Exit when a crossover occurs in the opposite direction
What is this tool?
This tool is a performance scanner that uses a decision tree-based algorithm under the hood to find the most profitable settings for RSI. It analyzes the range of periods between 2 to 100 and backtests the RSI for each period using the strategy mentioned above across the entire history of an instrument. If the more profitable parameter was found, the indicator will switch its value to the found one immediately.
So, instead of manually selecting parameters just apply it to your chart and relax - the algorithm will do it for you.
The algorithm can work in two modes: Basic and Advanced "Early Switch" . The Early Switch algorithm makes some assumptions and activates a set of optimizations to find the better setting DURING the trades, not after they were closed.
The difference is illustrated on the screenshot below:
Additionally you can set up a backtest window through indicator's settings (the optimizers which were published before will get this feature soon).
Alerts
It has a special alert that notifies when a more profitable period was detected.
NOTE: It does not change what has already been plotted.
NOTE 2: This is not a strategy, but an algorithmic optimizer.
Day after day. Night after night.
I've been waiting to program again.
Day after day. Night by to night.
Trading is waiting inside your heart.
Profitable SuperTrendIntroduction
I was faced with the fact that many authors contradicted each other about the indicator settings. Each trader offers his(her) own settings, without having an evidence base. Therefore, I decided to make an algorithmic optimizer.
What is this tool?
This tool is a performance optimizer that uses a decision tree-based algorithm under the hood to find the most profitable settings for the SuperTrend indicator. It analyzes a bunch of different ATR Periods (between 3 to 45 ) and ATR Multipliers (between 1 to 8 with a decimal step of 0.1 ) and backtests each combination across the entire history of an instrument. If the more profitable parameters were found, the indicator will switch its values to the found ones immediately.
Instead of manually selecting parameters, just relax - the algorithm will do it for you.
Alerts
It has an alert that notifies when the more profitable settings were found.
NOTE: It does not change what has already been plotted before.
NOTE 2: The implementation of the SuperTrend indicator I used can be found here
Profitable SMA CrossoverWhat is this tool?
This tool is a performance scanner of the crossover trading system that is based on the two simple moving averages (SMA). It uses a decision tree-based algorithm under the hood to find and plot the most profitable periods of the SMA combination.
It analyzes the range of periods between 4 to 45 and backtests each combination across the entire history of an instrument. If the more profitable periods were detected the indicator will switch periods of the moving averages immediately.
This is an add-on for the Ingenious SMA Crossover but can be used standalone.
Alerts
It has an alert that notifies when the more profitable periods were detected.
NOTE : It does not change what has already been plotted.
Good luck!
Profit ReminderThis is a Visual Indicator intended to be a reminder to those who need it!
This indicator allows you to set a profit level and displays the calculated values if you were to profit that amount each day.
The vision of this indicator is to get the user more green trades by reminding them to get out while they're ahead, because there are more days ahead!
It also allows for the user to set phrases that might help them with this.
Look forward to what's ahead and don't get caught up in over trading!
PROFIT MAKER |Crypto|ETH|BTC|YFI - SignalThis is the version with alerts of this strategy:
Description:
This is a trend-following strategy that works very well for many Crypto assets in the usd or usdt pair
It can be used for both futures and spot!
Some of the assets in which this strategy is proven are
Asset Exchange TF
BINANCE:ADAUSDT Binance 45m
BINANCE:BTCUSDT Binance 1h
BINANCE:YFIUSDT Binance 30m
BINANCE:DOTUSDT Binance 45m
BINANCE:ETHUSDT Binance 30m
BINANCE:LINKUSDT Binance 45m
BINANCE:DOGEUSDT Binance 1h
And many others..
What is this strategy based on?
It is a combination of various parameters, including
-RSI: The relative strength index ( RSI ) is a momentum indicator used in technical analysis that measures
the magnitude of recent price changes to evaluate overbought or oversold conditions in the price of a stock or other asset.
-MACD: Moving average convergence divergence ( MACD ) is a trend-following momentum indicator that shows
the relationship between two moving averages of a security’s price.
-ADX: ADX is used to quantify trend strength. ADX calculations are based on a moving average of price range expansion over a given period of time.
-DMI: DMI is a moving average of range expansion over a given period (the default is 14 days). The positive directional
movement indicator ( +DMI ) measures how strongly price moves upward; the negative directional movement indicator ( -DMI )
measures how strongly price moves downward. The two lines reflect the respective strength of the bulls versus the bears.
Included:
Different forms of Take profit, included:
Take profit on squeeze candles
Take profit based on Risk-Benefit (RR)
Take profit a pre-determined %.
Different forms of Stop Loss, including
ATR-based stop loss
Trail stop loss (with option to use a trigger)
Stop loss a pre-determined %.
For access you can send a message or consult in my social networks.
Links in my tradingview signature (below).
Examples:
The default configuration works very well for most pairs.
You just have to look for which time frame goes better with each one.
Recommended to try with 30m, 45m and 1 hour.
Profit Hunter The Tower of Data指標用途 / Purpose of the Indicator
中文：本指標旨在綜合監測加密貨幣市場的狀況。透過分析比特幣與以太坊的市值佔比、穩定幣市場比率、歷史最高點距離（ATH）及波動性指標（ATR），交易者可以獲取市場動態、評估風險以及尋找潛在的交易機會。
English: This indicator aims to provide a comprehensive monitoring of the cryptocurrency market conditions. By analyzing the market dominance of Bitcoin and Ethereum, the stablecoin market ratio, distance to all-time high (ATH), and volatility indicator (ATR), traders can gain insights into market dynamics, assess risks, and identify potential trading opportunities.
指標依據 / Basis of the Indicator
中文：1. 市值佔比：計算比特幣和以太坊在總市場中的佔比，幫助判斷主流加密貨幣的市場情緒。 2. 穩定幣比率：評估比特幣市值與穩定幣總市值的比例，反映資金在風險資產和穩定幣之間的流動情況。 3. 歷史最高點距離（ATH）：顯示當前價格距離歷史最高價的百分比，幫助識別潛在的市場頂部或底部。 4. ATR 波動性指標：使用平均真實範圍（ATR）來測量市場的波動性，為風險管理提供參考。
English: 1. Market Dominance: Calculates the market share of Bitcoin and Ethereum in the total market, helping to assess the market sentiment of major cryptocurrencies. 2. Stablecoin Ratio: Assesses the ratio of Bitcoin's market cap to the total market cap of stablecoins, reflecting the flow of funds between risk assets and stablecoins. 3. Distance to All-Time High (ATH): Displays the percentage distance from the current price to the historical peak, helping to identify potential market tops or bottoms. 4. ATR Volatility Indicator: Uses Average True Range (ATR) to measure market volatility, providing a reference for risk management.
數值大小含意及操作建議 / Value Interpretation and Trading Suggestions
中文：1. 市值佔比：> 60% 顯示市場對比特幣和以太坊的信心較高，適合進行長期持有或交易；< 60% 可能表示資金流出，需謹慎觀察市場情緒。 2. 穩定幣比率：> 700% 表明市場對比特幣的信心強，適宜進場交易；< 700% 反映市場對穩定幣的需求增加，建議觀望。 3. ATH 距離：正值顯示當前價格低於歷史最高點，可能存在回升機會；負值則表示當前價格高於歷史最高點，需謹慎進場。 4. ATR 波動性指標：1-30 分 市場波動性低，適合穩健操作；31-70 分 市場波動性中等，需注意潛在風險；71-99 分 市場波動性高，建議減少倉位或觀望。
English: 1. Market Dominance: > 60% indicates high confidence in Bitcoin and Ethereum, suitable for long-term holding or trading; < 60% may indicate capital outflow, caution is advised. 2. Stablecoin Ratio: > 700% suggests strong confidence in Bitcoin, suitable for entering trades; < 700% reflects increased demand for stablecoins, suggesting a watchful approach. 3. Distance to All-Time High (ATH): Positive values indicate the current price is below the historical peak, presenting a potential rebound opportunity; negative values indicate the current price is above the historical peak, caution is advised. 4. ATR Volatility Indicator: 1-30 Points indicates low market volatility, suitable for stable operations; 31-70 Points indicates moderate market volatility, watch for potential risks; 71-99 Points indicates high market volatility, recommend reducing positions or adopting a wait-and-see approach.
Cryptocurrency Profitability Rankings PRO Customisable ListA good cryptocurrency may multiply your earnings - with the same effort.
This indicator helps crypto traders to find the trading securities that suit their profitability and volatility preference.
This indicator calculates and generate a ranking of profitability from a user-defined list of cryptocurrencies, based on MACD cycles within user-defined time span.
Multiple time frames: This indicator is designed for day trading, so suggested time frames are: 3m, 5m, 15m, 30m, 1H. Users can try other time frames (< 1D) if they find it useful.
This is PRO version of Cryptocurrency Profitability Rankings with Popular List, developed based on Profitability Meter for Day Trading PRO
PRO Version advanced functions:
Customisable(User-Defined) Cryptocurrency List
Option to select Open or Close price as start point for calculation.
Flexible Time Span Type: Hours and Bars, besides Days
More statistics options: Display price change(%) of latest rising/falling MACD cycle
Free trial for two weeks: Please leave a comment asking for a trial, you should get access within 48 hours. In case it doesn't work, please message the author.
Format Configuration:
Profitability Threshold: a percentage of price movement within a MACD cycle that a user thinks can be used to define profitability, defval: 0.8%.
Select open or close as start point: which can affect the results greatly, as difference between open and close can be significant, especially for big time interval.
Statistics Options
timeSpan: time span for statistics
timeSpanType: time span type for statistics
User-defined cryptocurrencies list: up to 10 items
About Customisable List of Cryptocurrency:
At present, in Pine Language, there is no method to plot a string input variable. Therefore, fixed handles are used to represent each symbol name, eg. "Sym_10". User need to remember the order of the list or refer to "Format".
Make sure to input correct tiers, eg. "BITFINEX:ETHUSD"
Related Indicators:
Profitability Meter for Day Trading PRO - Calculating and evaluating individual trading security's profitability.
About Loading Time: It may take up to 2 minutes for your browser to load a new format setting, depending on the your computer and network speed.
List of the author's Indicators
www.tradingview.com
Disclaim: By using or requesting access to this indicator, you acknowledge that you have read and accepted that this indicator is for study purposes only and it does NOT guarantee you will make money.
I am not financial adviser and I am NOT responsible for any profits or losses you may incur by using this indicator!
Users should make their own decisions, carefully assess risks and be responsible for investment and trading activities.
The latest updates override the previous description. Please check the updates.
加密货币赢利潜力排行指标 PRO 自定义列表
优质的交易币种可能倍增你的收益-在付出同样的努力的情况下。
该指标基于Profitability Meter for Day Trading PRO开发，帮助加密货币交易员找到适合其赢利性和波动率偏好的币种。
该指标根据用户定义的时间跨度内的MACD周期，计算和比对用户自定义的一组虚拟货币，生成一个赢利潜力排名。
多时间维度：本指标为日内交易设计，因此建议使用时间维度：3m,5m,15m,30m,1H; 如果用户需要，也可以用于其他小于1D的维度。
免费试用两周：跟帖评论要求试用，您应该在48小时内获得访问权限。 如果没有获得，请私信开发者。
这是Cryptocurrency Profitability Rankings with Popular List的PRO版本
可自定义加密货币列表，上至10个
可选择开盘价或收盘价作为计算起点。
灵活的时间跨度类型：小时，蜡烛数，天数
更多统计选项：显示最近上涨/下跌的MACD周期的价格变动（％）
格式配置：
盈利能力阈值：用户自定义的MACD单次波动的可赢利的百分比，默认为0.8%
选择开盘或者收盘作为起点：这会对结果产生很大影响，因为开盘价和收盘价之间的差异可能很大，特别是在较大的时间维度。
统计选项
timeSpan：统计功能的时间跨度
timeSpanType：统计功能的时间跨度单位
用户自定义的加密货币列表输入栏
关于自定义的加密货币列表：
目前，在Pine Language中，不能打印字符串输入变量。 因此，使用顺序数字字符代表币种名称，例如。“Sym_10”。 用户需要记住其输入币种的顺序或随时参考“格式设置”中的顺序。
确保输入正确的交易所和币种名称，例如。 “BITFINEX：ETHUSD”。
相关指标：
日内交易盈利潜力指示仪PRO (Profitability Meter for Day Trading PRO)：用于计算和评估单个交易品种的盈利能力
关于载入新设置：每次载入新的设置可能需要0-2分钟，取决于用户的电脑配置和网络速度。
试用开发者的其他指标
www.tradingview.com
免责声明：在要求获得本指标使用权之前以及在使用本指标之前，用户认可已经完全了解和接受：本指标仅供教育和研究目的， 它不提供任何赢利的可能性。
本指标的开发者并非专业投资顾问，因此不对用户的任何赢亏负责。
用户应独立判断，审慎评估并自负投资和交易风险！
最新更新会覆盖之前的说明。 请检查更新。
Cryptocurrency Profitability Rankings with Popular ListA good cryptocurrency may multiply your earnings - with the same effort.
This indicator helps crypto traders to find the trading securities that suit their profitability and volatility preference.
This indicator calculates and generate a ranking of profitability from a popular list of crypto currencies, based on MACD cycles within user-defined time span.
Multiple time frames: This indicator is designed for day trading, so suggested time frames are: 3m, 5m, 15m, 30m, 1H. Users can try other time frames (< 1D) if they find it useful.
Developed based on Profitability Meter for Day Trading PRO
About popular list of Cryptocurrency:
The author has the right to change the list from time to time without notice.
PRO Version of this Indicator: (invite-only)
Advanced functions:
Customisable(User-Defined) Cryptocurrency List
Option to select Open or Close price as start point for calculation.
Flexible Time Span Type: Hours and Bars, besides Days
More statistics options: Display price change(%) of latest rising/falling MACD cycle
Format Configuration:
Profitability Threshold: a percentage of price movement within a MACD cycle that a user thinks can be used to define profitability, defval: 0.8%.
Statistics Options
timeSpan: time span for statistics
timeSpanType: time span type for statistics
Related Indicators:
Profitability Meter for Day Trading PRO - Calculating and evaluating individual trading securitie's profitability.
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List of the author's Indicators
www.tradingview.com
Disclaim: By using or requesting access to this indicator, you acknowledge that you have read and accepted that this indicator is for study purposes only and it does NOT guarantee you will make money.
I am not financial adviser and I am NOT responsible for any profits or losses you may incur by using this indicator!
Users should make their own decisions, carefully assess risks and be responsible for investment and trading activities.
The latest updates override the previous description. Please check the updates.
加密货币赢利潜力排行指标 热门列表
优质的交易币种可能倍增你的收益-在付出同样的努力的情况下。
该指标基于Profitability Meter for Day Trading PRO开发，帮助加密货币玩家找到适合其赢利性和波动率偏好的币种。
该指标根据用户定义的时间跨度内的MACD周期，计算和比对一组虚拟货币，生成一个赢利潜力排名。
多时间维度：本指标为日内交易设计，因此建议使用时间维度：3m,5m,15m,30m,1H; 如果用户需要，也可以用于其他小于1D的维度。
关于加密货币的热门列表：
作者有权随时更改列表，恕不另行通知。
该指标的PRO版本：Cryptocurrency Profitability Rankings PRO with Customisable List (Invite-Only)
可自定义加密货币列表，上至10个
可选择开盘价或收盘价作为计算起点。
灵活的时间跨度类型：小时，蜡烛数，天数
更多统计选项：显示最近上涨/下跌的MACD周期的价格变动（％）
格式配置：
盈利能力阈值：用户自定义的MACD单次波动的可赢利的百分比，默认为0.8%
统计选项
timeSpan：统计功能的时间跨度
timeSpanType：统计功能的时间跨度单位
相关指标：
日内交易盈利潜力指示仪PRO (Profitability Meter for Day Trading PRO)：用于计算和评估单个交易品种的盈利能力
关于载入新设置：每次载入新的设置可能需要0-2分钟，取决于用户的电脑配置和网络速度。
试用开发者的其他指标
www.tradingview.com
免责声明：在要求获得本指标使用权之前以及在使用本指标之前，用户认可已经完全了解和接受：本指标仅供教育和研究目的， 它不提供任何赢利的可能性。
本指标的开发者并非专业投资顾问，因此不对用户的任何赢亏负责。
用户应独立判断，审慎评估并自负投资和交易风险！
最新更新会覆盖之前的说明。 请检查更新。
Net Unrealized Profit Loss | JeffreyTimmermansNet Unrealized Profit Loss (NUPL)
The "Net Unrealized Profit Loss" (NUPL) indicator is a highly regarded tool for assessing Bitcoin investor sentiment by analyzing the relationship between Market Value and Realized Value. This Pine Script implementation, developed by Jeffrey Timmermans, includes additional features such as dynamic labels, alerts, and thresholds with color-coded bands, enhancing its usability for traders and analysts.
Core Concepts Behind NUPL
Market Value (MV):
Defined as the current Bitcoin price multiplied by the number of coins in circulation.
Equivalent to market capitalization in traditional finance.
Realized Value (RV):
Calculated by considering the price at which each Bitcoin last moved (e.g., transferred between wallets).
The average price of all these transactions is multiplied by the total coins in circulation.
Net Unrealized Profit Loss (NUPL):
Formula: NUPL = (Market Value − Realized Value) : Market Value × 100
Measures the proportion of paper profits or losses held by investors relative to the market cap.
Significance of NUPL:
Tracks investor sentiment over time.
A high NUPL value indicates that most investors are in profit, often signaling potential market overheating.
A low or negative NUPL suggests pessimism and undervaluation, which may precede market recovery.
How to View the Chart
The NUPL chart uses distinct percentage bands to delineate various market phases. These bands provide context for understanding investor sentiment and market stages:
Extreme Low Values (< 0%): Indicates widespread losses; the market may be near capitulation.
Neutral Value (0%): A balance between profit and loss; often signifies a transition phase.
Slightly High to High Values (> 0% to 50%): Increasing profits suggest growing optimism; early stages of bullish trends.
Extreme High Values (> 75%): Signals overheating; often corresponds to excessive greed, which may precede corrections.
The colored bands visually represent these stages, enabling traders to identify key turning points.
Features of the Script
Querying Data
The indicator uses data from two key sources:
Bitcoin Market Cap (MC1): GLASSNODE:BTC_MARKETCAP
Bitcoin Realized Cap (MCR): COINMETRICS:BTC_MARKETCAPREAL
These values are fetched using the request.security function to ensure daily accuracy, regardless of the chart's timeframe.
Threshold Calculation
The script computes NUPL values dynamically and compares them against historical lows:
Calculated using the ta.lowest function over a 1,000-bar lookback period.
The average of the historical low and the current NUPL value, providing a dynamic baseline.
Value Classification
NUPL is categorized into sentiment levels with corresponding weights:
< Low Threshold: 1 (Extreme Bearish)
Low to 0: 0.75 (Moderate Bearish)
0 to 25: 0.25 (Neutral to Slightly Bullish)
25 to 50: -0.25 (Moderate Bullish)
50 to 75 : -0.75 (Strong Bullish)
> 75: -1 (Extreme Bullish)
Visual Elements
NUPL Line Plot:
The NUPL line is plotted in orange for clear visibility.
Threshold Bands:
Horizontal thresholds ranging from -160 to 160 and are plotted, representing key sentiment levels. Bands are categorized as:
Extreme High/Low Values
Significant High/Low Values
Neutral Values
Fill Colors:
Red Shades (Bearish Sentiment): Above neutral levels.
Green Shades (Bullish Sentiment): Below neutral levels.
The opacity of fills decreases as sentiment moves from extreme to neutral values.
Dynamic Label:
A real-time label displays the current NUPL value and sentiment classification.
Positioned directly on the NUPL line for immediate insight.
Alerts:
The indicator includes two alerts for crossing key thresholds:
NUPL Above 0% Alert: Triggers when NUPL crosses above the neutral value, signaling a shift to positive sentiment.
NUPL Below 0% Alert: Triggers when NUPL crosses below the neutral value, indicating a shift to negative sentiment.
Alerts are configured with alert.freq_once_per_bar to avoid redundancy during intra-bar fluctuations.
Use Cases
Identifying Market Extremes:
Use NUPL levels to pinpoint moments of extreme greed or fear, which often precede market reversals.
Long-Term Strategy:
NUPL trends can assist strategic investors in deciding when to accumulate during pessimistic phases or take profits during euphoria.
Market Sentiment Analysis:
Provides a macro perspective on the prevailing investor sentiment, offering valuable context for trading decisions.
Conclusion
The Net Unrealized Profit Loss (NUPL) indicator combines advanced data processing with intuitive visualization to deliver actionable insights into Bitcoin market sentiment. With its real-time alerts, dynamic labels, and comprehensive banding system, this tool is indispensable for traders and investors seeking to understand and anticipate market movements based on sentiment analysis.
-Jeffrey
Realized Profit & Loss [BigBeluga]The Realized Loss & Profit indicator aims to find potential dips and tops in price by utilizing the security function syminfo.basecurrency + "_LOSSESADDRESSES".
The primary objective of this indicator is to present an average, favorable buying/selling opportunity based on the number of people currently in profit or loss.
The script takes into consideration the syminfo.basecurrency, so it should automatically adapt to the current coin.
🔶 USAGE
Users have the option to enable the display of either Loss or Profit, depending on their preferred visualization.
Examples of displaying Losses:
Example of displaying Profits:
🔶 CONCEPTS
The concept aims to assign a score to the data in the ticker representing the realized losses. This score will provide users with an average of buying/selling points that are better to the typical investor.
🔶 SETTINGS
Users have complete control over the script settings.
🔹 Calculation
• Profit: Display people in profit on an average of the selected length.
• Loss: Display people in loss on an average of the selected length.
🔹 Candle coloring
• True: Color the candle when data is above the threshold.
• False: Do not color the candle.
🔹 Levels
- Set the level of a specific threshold.
• Low: Low losses (green).
• Normal: Low normal (yellow).
• Medium: Low medium (orange).
• High: Low high (red).
🔹 Z-score Length: Length of the z-score moving window.
🔹 Threshold: Filter out non-significant values.
🔹 Histogram width: Width of the histogram.
🔹 Colors: Modify the colors of the displayed data.
🔶 LIMITATIONS
• Since the ticker from which we obtain data works only on the daily timeframe, we are
restricted to displaying data solely from the 1D timeframe.
• If the coin does not have any realized loss data, we can't use this script.
Moving Averages (Self-Adjusting Param for Highest Profitability)Moving Averages (Self-Adjusting Parameters for Highest Profitability)
It is a dual moving average crossover system - Smart Moving Averages .
Moving averages are used to identify current price developments and the potential for a change in an established trend.
The crossover in a dual moving average system can be used as a trigger to buy or to sell an asset, or as a trend reversal indication.
The crossover occurrence depends on the periods for which the moving averages are calculated. Using constant period values may not bring the best results.
The Smart Moving Averages change their periods automatically to get the highest profitability .
The concept is similar to the Smart SuperTrend .
Features:
• Self-Adjusting Period parameters
• The graphs for Profitability, Moving Average 1 Period, Moving Average 2 Period and the Moving Averages themselves are available to choose for display from the indicator settings
• A chart layout can be made just for the Smart Moving Averages, having all the graphs nicely displayed
• Alerts for changes in Trend, Moving Average 1 Period, Moving Average 2 Period, Profitability
• Different types of Moving Averages are available to choose from in the indicator settings (SMA, EMA, RMA, WMA, VWMA, DEMA, TEMA, HullMA, TMA).
The range for Moving Average 1 Period, Moving Average 2 Period and Time can be changed in the indicator settings (suggested optimal values are displayed on the chart).
This affects the loading speed (smaller range, faster to load), as well as the accuracy of the signals.
The indicator switches to the most profitable Moving Average 1 Period and Moving Average 2 Period parameters automatically, in real-time.
It scans across the entire historical data made available by TradingView.
The Smart Moving Average system works on all timeframes and symbols available on TradingView.
Exception for when the Volume Weighted Moving Average is used - it doesn't work for symbols without volume data.
It does not repaint!
But several aspects must be considered:
- 1. TradingView periodically removes access to old data while giving access to new data in real-time.
____ The frequency depends on the timeframe, amount of data. It can happen daily for second charts, weekly for minute charts.
____ Since the Indicator wouldn't have access to that old data anymore, the Profitability may change its value, causing a certain degree of repainting.
- 2. The starting time for Backtest must be inserted in the settings panel.
____ As long as the starting time has available price data, the Smart Moving Averages will NOT get repainted.
____ A suggested starting date for the analysis is shown on the chart. Insert the date in the indicator settings.
This indicator is compatible with the Wrapper Module of the Risk Management System indicator, which means they can work together as a trading bot.
SuperTrend (Self-Adjusting Parameters for Highest Profitability)SuperTrend (Self-Adjusting Parameters for Highest Profitability)
The SuperTrend is a trend-following indicator.
It works best when it is used along with other indicators.
It performs well in trending markets and can give false signals in volatile markets.
It becomes Smart when its Multiplier and Period parameters are automatically detected .
• Self-Adjusting Multiplier and Period parameters
• The graphs for Profitability, SuperTrend Multiplier, SuperTrend Period and the SuperTrend itself are available to choose for display from the indicator settings
• A chart layout can be made just for the Smart SuperTrend, having all the graphs nicely displayed
• Alerts for changes in Trend, Multiplier, Period, Profitability
The range for Multiplier, Period and Time can be changed in the indicator settings.
This affects the loading speed (smaller range, faster to load), as well as the accuracy of the signals.
The indicator switches to the most profitable Multiplier and Period parameters automatically, in real-time .
It scans across the entire historical data made available by TradingView.
The Smart SuperTrend works on all timeframes and symbols available on TradingView.
It does not repaint!
But several aspects must be considered:
- 1. TradingView periodically removes access to old data while giving access to new data in real-time.
____ The frequency depends on the timeframe, amount of data. It can happen daily for second charts, weekly for minute charts.
____ Since the Indicator wouldn't have access to that old data anymore, the Profitability may change its value, causing a certain degree of repainting.
- 2. The starting time for Backtest must be inserted in the settings panel.
____ As long as that starting time has available price data, the SuperTrend will NOT get repainted.
____ A suggested starting date for the analysis is shown on the chart. Insert the date in the indicator settings.
This indicator is compatible with the Wrapper Module of the Risk Management System indicator, which means they can work together as a trading bot .
SMACROSS for ProfitTrailer by BotIndicatorsThis is a highly adjustable indicator for the ProfitTrailer Crypto Currency Trading Bot.
You can use it to visualize the SMACROSS buy strategy. Here is how it works:
Set the candle size by setting your TV candle time accordingly
Set the candles used for Slow and Fast SMA Lines in the settings of this Indicator
Set the cross candles according to your needs.
Also set the buy value you would like to use on your bot to visualize the buy zones. You can set it either positive or negative.
The indicator will then show the Fast SMA, Slow SMA as well as the areas where the actual price exceeds the buy value you have set and would generate a buy signal for Profit Trailer. Please keep in mind that Profit Trailer may still use trailing buy and trailing profit to optimize your buy/sell situation, this can obviously not be shown through this indicator.
Note: This is a first public release, future modifications may follow and are then shown on this site as updates. Always read this page to the end.
EMACROSS for ProfitTrailer by BotIndicatorsThis is a highly adjustable indicator for the ProfitTrailer Crypto Currency Trading Bot.
You can use it to visualize the EMACROSS buy strategy. Here is how it works:
Set the candle size by setting your TV candle time accordingly
Set the candles used for Slow and Fast EMA Lines in the settings of this Indicator
Set the cross candles according to your needs.
Also set the buy value you would like to use on your bot to visualize the buy zones. You can set it either positive or negative.
The indicator will then show the Fast EMA, Slow EMA as well as the areas where the actual price exceeds the buy value you have set and would generate a buy signal for Profit Trailer. Please keep in mind that Profit Trailer may still use trailing buy and trailing profit to optimize your buy/sell situation, this can obviously not be shown through this indicator.
Note: This is a first public release, future modifications may follow and are then shown on this site as updates. Always read this page to the end.
STH Unrealized Profit/Loss Ratio (STH-NUPL) | [DeV]STH-NUPL
The Short-Term Holder Net Unrealized Profit/Loss Ratio (STH-NUPL) is an analytical tool designed to approximate the unrealized profit or loss of Bitcoin’s short-term holders (STHs)—typically those holding coins for less than 155 days—within the constraints of TradingView’s price-based environment. Drawing inspiration from the canonical STH-NUPL metric, which assesses the difference between the market value and realized value of STH-held coins, this indicator adapts the concept into a normalized ratio using Bitcoin’s price data as a proxy. It offers a window into the sentiment and behavior of short-term market participants, who are often more sensitive to price fluctuations than long-term holders.
In its raw form, STH-NUPL oscillates around a break-even threshold of 0, where positive values indicate aggregate unrealized profits for STHs (market value exceeds realized value), and negative values suggest losses. This inflection point frequently acts as a key level: in bear markets, it can signal capitulation as STHs sell at break-even or below, while in bull markets, it may reflect reluctance to realize losses, providing support. The indicator enhances this metric with smoothing, a moving average overlay, and sophisticated visualization options, delivering a statistically informed perspective on short-term holder dynamics tailored for institutional-grade analysis.
STH-NUPL Settings -
Lookback Length (Default: 150 days): Defines the SMA period for estimating realized value. This 150-day window aligns with traditional STH definitions (e.g., <155 days), capturing a broad yet relevant historical cost basis for short-term holders, ideal for assessing cyclical behavior.
Smoothing Period (Default: 5 days): Applies an EMA to the raw STH-NUPL ratio, with a short default period to maintain responsiveness to recent price shifts while filtering out daily volatility. This setting is particularly suited for tactical analysis.
Moving Average Settings -
MA Lookback Length (Default: 90 days): Sets the period for the STH-NUPL’s moving average, offering a medium-term trend signal that contrasts with the 150-day lookback, enabling detection of momentum shifts within broader market phases.
MA Type (Default: EMA): Provides six moving average types, from the straightforward SMA to the volume-sensitive VWMA. The default EMA balances smoothness and reactivity, while options like HMA or VWMA cater to specialized needs, such as emphasizing recent action or volume trends.
Display Settings -
Show Moving Average (Default: True): Toggles the visibility of the STH-NUPL MA plot, allowing users to focus solely on the smoothed ratio when desired.
Show Background Colors (Default: True): Activates dynamic background shading to visually reinforce market regimes.
Background Color Source (Default: STH-NUPL): Enables users to tie the background to either the STH-NUPL’s midline (reflecting sthNupl > 0) or the MA’s trend direction (maNupl > maNupl ), aligning the visual context with the chosen analytical focus.
Analytical Applications -
Bear Market Capitulation: When the smoothed STH-NUPL approaches or falls below zero, it often signals loss realization among STHs, a precursor to capitulation in downtrends. A declining MA crossing zero can confirm this selling pressure.
Bull Market Support: Positive STH-NUPL values with a rising MA indicate STHs are in profit and reluctant to sell at a loss, forming support zones in uptrends as sell pressure wanes.
Sentiment Extremes: Significant deviations above or below zero highlight over-optimism or despair among STHs, offering contrarian opportunities when paired with price action or other on-chain metrics.
**Limitations**
As a TradingView-based approximation, this indicator uses price data (close) rather than true on-chain STH supply and realized price, which are available through providers like Glassnode. The 150-day SMA for realized value simplifies the cost basis, potentially underrepresenting the diversity of STH transactions. Despite this, the smoothed ratio and moving average overlay provide a practical proxy for tracking STH sentiment within TradingView’s ecosystem.
BACKTEST PARTNERS DCA MEGA MAPPER STUDY SCRIPT FOR PROFITTRAILERBacktest Partners Mega Mapper (BPMM) is an advanced DCA analysis script, allowing cryptocurrency traders to sync their ProfitTrailer trading bot buy levels, triggers and order sizes with their technical analysis charting results in TradingView.
For a complete functional demo, and to learn more about subscribing to this invite-only script, please visit us at backtest.partners
