Theft Indicator - 5Min Scalping SystemWhat is our indicator?
Theft Indicator - Buy & Sell Alert System is our first published script that shows price action on a certain period of time (We Use ATR indicator). We take pride in enabling trading to become easier for the experienced and the non-experienced traders around the globe. Buy & Sell alerts will be fired once a condition in our algo is met.
Does it Repaint?
Our indicator does NOT re-paint. Although while setting an alert it may pop up the repaint alert, please take into consideration that once a signal is fired on a "CLOSED BAR", our signal will never disappear, they do not repaint.
What Markets is it usable with?
You can use it in any market, Forex, Stocks, Crypto, Indices. All time frames are profitable, not all trades. But the Majority is profitable if you use a stop loss and target price.
How to use:
Simple plug and play it to your chart, in addition to a few other indicators we will recommend to you (we still have not published them yet), and this will confirm your trades. You can also connect TV alerts with a bot and let it run. Please be aware that SLIPPAGE time is important, If you run a bot on this indicator you HAVE to know that the buy/sell price will be on the bar AFTER the Candle close (For example: the BUY/SELL alert is on a candle, the buy/sell your bot or you will execute WILL be in the following candle depending on your trading system. We advise you to not leave the bot to trade on its own, you have to monitor and have a specific syntax that we will help you with creating according to your trading style.
How are the Buy/Sell Alerts fired?
We use the simple ATR (Average True Range) indicator. However we have modified the indicator to serve our trading system. Check below for a definition of what ATR is:
What is Average True Range - ATR?
The average true range (ATR) is a technical analysis indicator that measures market volatility by decomposing the entire range of an asset price for that period. Specifically, ATR is a measure of volatility introduced by market technician J. Welles Wilder Jr. The true range indicator is taken as the greatest of the following: current high less the current low; the absolute value of the current high less the previous close; and the absolute value of the current low less the previous close. The average true range is then a moving average, generally using 14 days, of the true ranges.
Why is our indicator special and different from the normal ATR indicators?
We have modified the mathematical equation and changed it slightly to give more accurate signals, we do not promise all trades are profitable, the use of this indicator is up to your own judgement and liability. We believe that we have an indicator like no other ATR.
P.S: This is not financial advice, we are just sharing our indicator that we know has good results, and it will take time for people in -ve profiles to recover losses and for the profiting to be more profitable. We use a specific trading method that only works with it
You can contact me for more information about the indicator, Goodluck :)
Pesquisar nos scripts por "profit"
Theft Indicator - BUY/SELL AlertsWhat is our indicator?
Theft Indicator - Buy & Sell Alert System is our first published script that shows price action on a certain period of time (We Use ATR indicator). We take pride in enabling trading to become easier for the experienced and the non-experienced traders around the globe. Buy & Sell alerts will be fired once a conditions in our algo is met.
Does it Repaint?
Our indicator does NOT re-paint. Although while setting an alert it may pop up the repaint alert, please take into consideration that once a signal is fired on a "CLOSED BAR", our signal will never disappear, they do not repaint.
What Markets is it usable with?
You can use it in any market, Forex, Stocks, Crypto, Indices. We recommend high time frames but you can also use it on the 1 minute chart if you are a scalper and a risk taker. All time frames are profitable, not all trades. But the Majority is profitable. We will soon add a backtest strategy for it, there is no ETA on it tho.
How to use:
Simple plug and play it to your chart, in addition to a few other indicators we will recommend to you (we still have not published them yet), and this will confirm your trades. You can also connect TV alerts with a bot and let it run. Please be aware that SLIPPAGE time is important, If you run a bot on this indicator you HAVE to know that the buy/sell price will be on the bar AFTER the Candle close (For example: the BUY/SELL alert is on a candle, the buy/sell your bot or you will execute WILL be in the following candle depending on your trading system. Theft Indicator - Buy/Sell Alerts work best with higher time frames, however it works on smaller time frames, we recommend 15 mins, 30 mins, 1hr, 4hr. It just depends on your trading style. Please contact us if you do not understand how to use it.
How are the Buy/Sell Alerts fired?
We use the simple ATR (Average True Range) indicator. However we have modified the indicator to fit our trading system. Check below for a definition of what ATR is:
What is Average True Range - ATR?
The average true range (ATR) is a technical analysis indicator that measures market volatility by decomposing the entire range of an asset price for that period. Specifically, ATR is a measure of volatility introduced by market technician J. Welles Wilder Jr. The true range indicator is taken as the greatest of the following: current high less the current low; the absolute value of the current high less the previous close; and the absolute value of the current low less the previous close. The average true range is then a moving average, generally using 14 days, of the true ranges.
Why is our indicator special and different from the normal ATR indicators?
We have modified the mathematical equation and changed it slightly to give more accurate signals, we do not promise all trades are profitable, the use of this indicator is up to your own judgement and liability. We believe that we have an indicator like no other ATR because of our algo that is different from the normal ATR calculation.
P.S: This is not financial advice, we are just sharing our indicator that we know has good results, and it will take time for people in -ve profiles to recover losses and for the profiting to be more profitable.
You can contact me for more information about the indicator, Goodluck :)
Quansium Allocation RatioThis tool finds the most optimal allocation size for each trading setup. It has 3 modes.
Basic (it meets the minimum profitability requirements):
% Profitable: the probability of winning and is calculated by dividing the number of winning trades by the total number of trades.
Profit Ratio: a measure of the ability to generate profit instead of loss and is calculated by taking the average profit from all winning trades divided by the average losses on all losing trades.
Medium (it takes into account the maximum loss to stabilize the overall risk among the partitions):
Max Drawdown: the "worst-case scenario" for a trading period. It measures the greatest distance, or loss, from a previous equity peak.
Advanced (loss is not the only risk taken, the reward to risk ratio must also be accounted for):
Monthly Profit: the amount of average return a system provides on a monthly basis.
Monthly Loss: the highest loss given during the period of a month. It can be substituted by the Max Drawdown.
Notes :
The "check boxes" inputs are there as cosmetic separators.
"Basic" mode comes with preset values. To activate other modes, you must use a value higher than "0".
This shows the amount of percentage you should allocate for the setup you inserted the metrics for.
It is recommended to get values for each mode and find out on past data which works best for you.
EMASARPLEASE READ THE FULL DESCRIPTION BEFORE BUYING OR USING THIS INDICATOR
EMASAR (pronounced Emma-sar) is a strategy based on Exponential Moving Averages and the Parabolic SAR . This is a position trading approach that is derived from Tyler Jenks’ Consensio.
This strategy was developed with four objectives in mind: (1) managing risk (2) protecting from missing out on major moves (3) maximizing risk:reward (4) staying in a trending market and taking profit before it fully reverses.
EMASAR does a great job at accomplishing all of the above through the buy and sell signals that are generated. The data provided below is from the signals that occurred on Bitcoin (Bitstamp) from January 1, 2015 to present (November 11, 2019).
(1) Risk is tightly managed, relative to the winners, and losing positions will be exited before the market moves too far against.
The biggest losing trade on Bitcoin, for the time period outlined above, is -18.47%.
(2) Following the EMASAR buy and sell signals guarantees that one will not miss out on a major trend. As a result of the indicators used for this system it is mathematically impossible for a major trend to occur without providing a buy or sell signal. This system isn't meant to catch exact tops or bottoms but it will do a great job of capturing ~85% of a trend.
(3) On average the winning trades will be 5.55 times the losing trades. There will be stretches where the losers are bigger than the winners and this could last for many months, maybe even a year. However, over the long run the average reward is expected to be 5.55 times the average risk*.
*Past performance does not guarantee future results!
(4) This indicator was designed to capitalize on parabolic markets, specifically Bitcoin and alt coins. Crypto markets have a tendency to get moving so fast that many indicators become all but useless.
Entries can get signaled too late and exits will get signaled way too early. This is specifically true when using oscillators that are designed to identify overbought or oversold environments. EMASAR does a great job of keeping us in a position for the duration of a trend and this includes the major parabolic runs that Bitcoin has a tendency to go on.
Take a look at the two charts below which illustrates the buy and sell signals that occurred at the beginning and end of the 2017 and 2019 parabolic moves. Green = Buy | Blue = Exit | Red = Short
Long signaled at $4,190.27 on September 29th, 2017
Exit signaled at $13,647 on January 14th, 2018
Short signaled at $12,050 on January 16th, 2018
Close Short signaled at $3,684 on February 18th, 2019
Long signaled at $3,684 on February 18th, 2019
Exit signaled at $9,614 on July 16th, 2019
Short signaled at $10,328 on July 22nd, 2019
When Bitcoin, or other alts, really get moving it can be very difficult to distinguish between a correction and a full reversal. We do not want to be exiting during a minor correction, instead this is a time when we want to be holding on or looking to buy the dip.
This is a very fragile balance. The market has a very strong tendency to make corrections looks like reversals and to make reversals look like corrections. Therefore it is very important to have a tool(s) that you trust to distinguish in between the two.
I believe that EMASAR is the best way to find that balance - if I knew of a better way then I would be using it instead!
Following these signals will help us to hold onto positions while the market is still trending in our favor when most think that it has moved too far / too fast, and it will also get us out before a market fully reverses.
Keep in mind that there will be times when we exit a market that is in danger of reversing, only to buy back higher later on. That is okay because it enables us to properly manage risk during times of uncertainty and buying back in at a higher price is more than worth the opportunity cost.
Lets look at the signals above in chronological order:
1) Close Long: $2,274
2) Open Short: $2,347
3) Exit Short: $2,934
4) Open Long: $2,766
5) Close Long: $3,124
6) Enter Long: $4,190
A long was closed at $2,274 after Signal #1 and was re-entered after Signal #4 at $2,766. Additionally a long was closed at $3,124 after Signal #5 and was re-entered on the following signal at $4,190. These are examples of some of the bad signals that will occur. Something to pay attention to is the ratio of the risk to the reward. When the market turns against us EMASAR will quickly signal an exit or a re entry.
EMASAR also works great in traditional markets. The S&P 500 has been on a tear lately after creating new all time highs in October of 2019. It has resumed it's strong bull trend and therefore it is a great market to have long exposure to. That being said we are well overdue for a correction and most people, including myself, expect the next bear market to be much more severe than the last two. Therefore I would not want to have long exposure unless equipped with a very reliable method for taking profit before it fully reverses.
Let's take a look at the S&P 500 weekly EMASAR signals using the preferred settings outlined below:
In August of 1990 EMASAR signaled a 'Close Long' at $308. At that time the market was in danger of fully reversing. When that didn't happen EMASAR gave a signal to re enter at $369 which resulted in losing 19.8% in opportunity cost. That is quite okay because it would have allowed us to properly protect ourselves in the event that the market proceeded to crash. Instead we entered a massive bull market that culminated in the dot com bubble. Notice how EMASAR kept us in for the entire duration of that bull run and then signaled an exit very close to the top at $1,294. It got us back in by the end of 2004 after the market had bottomed. Yet again it kept us in for the following multi year bull market before signaling an exit very close to the top at $1,270.
The action that followed in 2016 looks very similar to what happened in 1990 - 1991. An exit was signaled when the market was in danger of fully reversing. When that didn't happen a re entry was signaled 14% higher. Now the market appears to be taking off in another parabolic advance. There is no way to know how far this next run will go or how long it will last. Nevertheless I feel highly confident that I will be able to hold on for the majority of the trend and then get fully out before it reverses thanks to the signals provided by EMASAR.
When looking at the signals on Gold we will notice striking similarities to the signals in the S&P 500 as well as Bitcoin.
Notice how an entry was signaled very close to the bottom at $323 in June of 2002. An exit was also signaled very close to the top at $1,441 in April of 2013. Throughout that runup there was one bad signal that cost some opportunity. It's very important to understand that missing out on opportunity is well worth the price because it allows us to effectively manage risk. EMASAR also recently provided a long signal at $1,401 which preceded this recent runup.
Settings
Default settings work best for crypto, however the time multiplier should be adjusted for markets that are not open 24/7. For commodities and FOREX my default is 40 and for stocks I use 24. The Moving Averages can be adjusted as well. The period can be changed and you can also select SMA or EMA. I always use the EMA's and strongly prefer the 50 and 200. We have noticed good results with the 9 and 54 EMA's as well. The shorter the period that the Moving Average is set to the more frequent the signals will be. This will generally improve risk:reward while decreasing strike rate. For crypto the best time frames are the 4h and 6h. For traditional markets the best time frames are the Daily, 3D and Weekly. EMASAR can be used on smaller time frames as well, specifically in crypto. The 15m and 1h have shown good results.
Risks
The biggest risks with trading EMASAR revolve around disobeying the signals. Risk management is built into this system with the exit signals that will occur, however it is up to the individual to execute those signals. Passing on an exit signal could lead to a big loss which would have a dramatic impact on the ROI. Most trading systems will have small and medium losses with small, medium and large wins. That is exactly how this works. The small - medium losses and wins will mostly be a wash and will account for roughly 80% of the trades. The large wins will happen about 20% of the time and will make up 80% - 90% of the profits.
Therefore the two biggest risks are passing on signals entirely, or exiting preemptively. Getting chopped in and out of a market can be quite frustrating. If you become overwhelmed with negative emotions then it could cause you to pass up on the next signal. That signal will often be the one that more than makes up for the small - medium losses that preceded.
On average EMASAR will provide one signal every 6 weeks when using the default settings on the 4h chart. Therefore missing one entry could turn an otherwise profitable year into a loser. If electing to trade a system, whether it is EMASAR or another, it is crucial to commit to taking every signal regardless of outside variables (namely your personal bias about market direction or frustration that follows a losing stretch).
Another major risk with this system is taking too much profit too soon. When getting into a trade that has the potential to be a big winner it can be challenging to continue holding through the swings. Anyone that has watched paper profits vanish will be inclined to start exiting after the market makes a big move in his or her favor. While this is better than watching profits completely evaporate, this mistake can be enough to turn a profitable system into one that loses to the market. If 80% - 90% of our profits come from 10% - 20% of our trades then it is vital we do not cut those positions off at the knees.
If taking too much profit too soon then you will consistently turn potential large winners into medium winners. This may lead to making money over the long run which will make it very difficult to realize that anything is wrong. However making money and beating the market are two very different things. Exiting early and making money is nearly as big of a risk as missing entries entirely.
If you have the discipline to execute signals in a timely manner after they are triggered and the emotional control to let the winners run despite the appearance of a vastly overbought / oversold market, then you should have what it takes to beat the market with EMASAR.
If you are not an experienced trader then it is very important to start out small. The only way to learn is to trade in a live environment and the only way to succeed is to risk much less than you can afford to lose. If you have $2,000 to trade with then start with a maximum position size of $20 - $50 and don’t be shy about scaling that down even further. Focus on ROI instead of actual dollars made. If you can return 100% on a $20 roll then you should be able to do the same with a $2,000 roll.
Important Notes
Make sure that you read / understand the risks outlined above. If you jump into this without understanding the unique risks that this system entails then you are going to have a bad time.
This indicator was developed around the 4h and that is where it works best. For crypto adjusting to higher TF’s will cause for bad results as the entries / exits will be late to the party. For traditional markets the Daily - Weekly time frames are preferred. It was not originally intended for smaller TF's but we have seen some good results on the 15m and 1h. The RSI can be a great compliment when using on smaller TF's. Adding a rule for not entering when RSI > 75 or < 25 and instead entering when RSI retests 50 will help to avoid some bad signals.
Alerts can be set for this indicator. Simply make sure that it is visible on the chart, then click the alert icon on the top panel. In the first dropdown set 'Condition' to 'EMASAR' and the second 'Condition' for the upcoming signal. For example if just entered long then set the second condition to 'Close Long' and you will be notified as soon as that signal occurs. If waiting for the next long entry then set the second condition to 'Open Long' so on and so forth. There is an 'All in One' alert that is also available. If you select that then you will be alerted any time that a signal occurs. The message will tell you to check the chart to see which signal caused the alert.
How to Buy
The EMASAR Indicator is available for purchase on my website. The link can be found in my signature or in the tagline of my Trading View profile.
The price is $500 per year which is only payable in Bitcoin. That also includes access to a private Telegram group.
Quantum Trend MonitorCurrency pairs never go up or down in a straight line. They rise and fall constantly, creating pullbacks and reversals. And with each rise and fall, so your emotions rise and fall. Hope, then fear, then hope again. This is when the market will try to frighten you out of a strong position. It is when you are most vulnerable.
But not if you have the Quantum Trend Monitor. And here, you get two indicators for the price of one!
The Quantum Trend Monitor has been designed to absorb these temporary pauses and pullbacks. It analyses the price action, and only changes to a transitional color of dark red or dark blue, if the trend is showing a temporary sign of weakness. If it is a true change in trend direction, the indicator will change to a bright color, as the new trend develops.
In other words, the Quantum Trend Monitor, does just that. It monitors the strength of the trend. This is displayed as a solid horizontal bar at the bottom of the screen. The trend monitor works in conjunction with the Quantum Trends indicator, helping to keep you in – guess what – the trend. One of the hardest things to do in trading. But, with the Quantum Trend Monitor, it’s a breeze. We call it, ‘the profit generator’, as that’s exactly what it is. It will help you hold any position for longer periods, maximising your profits. No more closing out early and suffering from trader regret. No more emotional trading decision. Just watch your Quantum Trend Monitor, which….. monitors it for you.
The Quantum Trend Monitor displays four colours at the bottom of the screen as a solid bar:
Bright blue – strongly bullish trend
Bright red – strongly bearish trend
Dark blue – weakness in trend
Dark red – weakness in trend
First, the Quantum Trends indicator alerts you to a possible new trend. If the trend is strong, the Quantum Trend Monitor will change to either bright blue or bright red, supporting the Trends indicator as the trend develops.
Used in conjunction with a multiple time frame approach, it is the indicator which will really make ‘the trend your friend’. Now you will be able to monitor the trends in multiple timeframes in real time, reducing risk, improving returns, and increasing your overall profitability.
The Quantum Trends create the signal, its sister indicator the Quantum Trend Monitor then kicks in. Together, these two indicators provide you with the perfect tools to manage your position. No more fear, no more doubt, no more uncertainty. Watch your trading account grow, as you allow your profits to run – with confidence!
And guess what – it doesn’t end there.
Remember we said you get two indicators for the price of one here! Well, to help you further, the Quantum Trend Monitor comes with its own unique trend line, which gives you a further ‘heads up’ on the trend. For clarity and simplicity, this indicator overlays the Quantum Trend Monitor and appears as a yellow line. The line chart shows the momentum of the trend and works as follows:
If the yellow trend line is above the zero line, there is a bullish trend in place
If the yellow trend line is below the zero line, there is a bearish trend in place
When the yellow trend line crosses the zero line, the trend has reversed
The further the yellow trend line gets from the zero line, the greater the strength and momentum of the trend
As the old saying goes – two heads are better than one. Here we could say – two indicators are better than one. Now with the Quantum Trend Monitor and the yellow trend line, you have a complete picture of the trend. Staying in and maximising your profits has never been easier.
And finally.. this is the next generation of TradingView indicators and virtually all our indicators can be configured to suit your own trading style. Why? Well, you buy everything else to suit you and your personality – from clothes to cars – so why not trading indicators? After all, as a scalping forex trader you will have different requirements to a swing or trend trader. You wouldn’t buy clothes that don’t fit, so why put up with indicators that cannot be configured. Simple.
One size fits all does not apply – in our view!
So, just like our other indicators, the Quantum Trend Monitor can be ‘tweaked’ to suit your trading style – the benefits are self-evident. Your trading consistency and profits will improve. After all, you are now using tools matched to the job. Precision trading requires precision tools and fine tuning. Don’t make do with second best.
With the Quantum Trend Monitor, you are in control. Just like the volume control on your radio, you adjust the sensitivity of the indicator to suit your trading style. Turning up the sensitivity a little alerts you earlier to periods of congestion – important if you are purely scalping. Turn it down a little, and this will smooth out these phases and keep you in those longer term trends for maximum profits.
The two indicators work in all timeframes.
Getting in is easy – staying in is hard. With the Quantum Trend Monitor and the associated trend line, staying in becomes easy too!
MultiPrem+Detailed Description of MultiPrem+
MultiPrem+ is a versatile TradingView Pine Script indicator designed to enhance the analysis of multi-leg option strategies by calculating and visualizing the combined premium of various predefined option setups. It allows users to select from a comprehensive list of popular option strategies, such as Short Straddle, Iron Condor, Butterfly Call, and more, and dynamically computes the net premium, Greeks (Delta and Theta), volume, and other key metrics for the selected strategy. The indicator overlays these calculations on the chart, providing real-time insights into the potential profitability and risk of the strategy based on the underlying asset's price movement.
The core functionality revolves around fetching data for up to four option legs (e.g., calls and puts at different strikes) using TradingView's `request.security` function. It supports indices like NIFTY, BANKNIFTY, and SENSEX, with customizable ATM strike levels, strike width multipliers, and expiry dates. The script calculates the combined premium by summing the premiums of each leg, adjusted for position direction (long or short), and displays the results in a compact table on the chart. It also includes technical indicator overlays (e.g., SMA, RSI, MACD) to contextualize the strategy within market trends, and generates alerts with strategy metrics for automated notifications.
The indicator is particularly suited for option traders who want to monitor strategy performance without manual calculations, offering a blend of quantitative metrics and visual feedback. It operates on any timeframe but is optimized for intraday or short-term trading, where option premiums fluctuate rapidly.
### Unique Features
MultiPrem+ stands out from standard option analysis tools on TradingView due to several innovative features:
1. **Dynamic Multi-Leg Strategy Support**: Unlike basic option chain indicators that focus on single legs or simple spreads, MultiPrem+ supports a wide range of advanced multi-leg strategies (e.g., Iron Condor Wide, Reverse Iron Condor, Butterfly Call/Put). It automatically configures strike prices, directions, and approximate Greeks based on the selected strategy, saving time and reducing errors in setup.
2. **Combined Premium Visualization**: The indicator plots the net premium as a line on the chart, colored based on whether it's a credit or debit strategy and its relation to a selected technical indicator (e.g., green if below SMA for potential buys). This unique visualization helps traders see how the strategy's value evolves over time, providing an at-a-glance view of profitability.
3. **Integrated Greeks Calculation**: It computes net Delta (directional risk) and net Theta (time decay) for the entire strategy, factoring in leg directions. For credit strategies like Short Straddle, Theta is positive to reflect time decay benefits, a nuance not commonly found in free indicators.
4. **Strategy Suggestion Engine**: Based on RSI and net Theta, it suggests alternative strategies (e.g., "Bear Put Spread" if RSI is overbought). This AI-like recommendation system is unique, helping novices or busy traders pivot quickly to more suitable setups.
5. **Customizable Alerts**: The script generates JSON-formatted alerts with key metrics (premium, net Delta, net Theta, etc.), which can be integrated with TradingView's alert system or external tools for automated trading signals.
6. **Compact Table Display**: A dynamic table shows leg-specific details (Type, Strike, Position, Premium, Qty, Delta, Theta, Volume) without cluttering the chart. It's positionable and sized for usability.
### How a User Can Gain Valuable Analysis from It
MultiPrem+ empowers users to conduct sophisticated option strategy analysis, offering insights that can improve decision-making and risk management. Here's how users can leverage it for valuable outcomes:
1. **Strategy Evaluation and Selection**: Traders can quickly test different strategies by changing the selection and ATM strike. For instance, in a sideways market, selecting "Short Straddle" shows the net credit and positive Theta, highlighting potential profits from time decay. The suggestion engine further aids by recommending alternatives if current conditions (e.g., high RSI) suggest a mismatch, helping users optimize for market volatility or direction.
2. **Risk Assessment with Greeks**: Net Delta indicates directional bias (e.g., near zero for delta-neutral strategies like Iron Condor), allowing users to hedge against price moves. Net Theta quantifies daily time decay, crucial for theta-positive strategies—users can analyze how much profit they might gain per day if the underlying asset stays range-bound. This is especially valuable for income-focused traders.
3. **Premium and Volume Monitoring**: By plotting combined premium, users can track strategy value in real-time, identifying entry/exit points when premium crosses a moving average (e.g., buy when below EMA). Volume data per leg helps gauge liquidity, avoiding low-volume options that could lead to poor fills.
4. **Integration with Technical Indicators**: Overlaying strategies on RSI or MACD enables hybrid analysis. For example, a user might enter a Bull Call Spread when RSI is oversold, using the indicator's plot to visualize potential premium gains alongside RSI crossovers.
5. **Alert-Driven Trading**: Custom alerts notify users of premium changes or suggested strategy shifts, enabling hands-off monitoring. This is useful for busy traders, who can set notifications for when net Theta exceeds a threshold, signaling favorable decay conditions.
6. **Educational and Backtesting Tool**: Beginners can experiment with strategies to understand how strikes and widths affect outcomes. Advanced users can backtest by replaying historical data, analyzing how strategies performed in past markets.
Overall, MultiPrem+ transforms option trading from manual spreadsheet work into an interactive, visual experience, helping users spot opportunities, manage risks, and optimize returns with data-driven insights. For best results, combine it with external option pricing tools for precise Greeks, as the script uses approximate values.
Updated timestamp for alerts: `2025-09-06 13:50:00` (1:50 PM IST, September 06, 2025).
LUCID LION TRINITY V1The LUCID LION TRINITY V1 is a precision trading tool designed to simplify decision-making and enhance trade execution through clear entry, stop-loss, and multi-target profit zones.
This indicator combines a dynamic EMA trend filter with ATR-based risk management, giving traders a structured approach to spotting setups and managing trades effectively.
Core Features
• Automatic Buy & Sell Signals
• Buy signals appear when price crosses above the EMA.
• Sell signals appear when price crosses below the EMA.
• Risk Management Built In
• ATR-based Stop Loss ensures volatility-adjusted protection.
• Fully configurable ATR length & multiplier.
• Multi-Level Take Profits (TP1, TP2, TP3)
• TP1 aligns with your chosen Risk:Reward ratio.
• TP2 & TP3 extend profits for trend continuation.
• Adjustable multipliers to fit your style.
• Visual Trade Levels
• EMA trend confirmation.
• Stop Loss and TP levels plotted on chart.
• Clear entry markers for easy reference.
• Alerts Ready
• Instant notifications for Buy and Sell setups.
How to Use
1. Watch for a BUY or SELL signal.
2. Manage the trade using the plotted Stop Loss and TP zones.
3. Scale out at TP1, TP2, and TP3 to secure profits.
4. Always combine with your own analysis for best results.
Important Note
The LUCID LION TRINITY V1 does not guarantee profitable trades. It highlights potential entry and exit areas, but proper risk management and additional analysis are required.
📩 To gain access, email: lucidlionllc@icloud.com
Disclaimer
The LUCID LION TRINITY V1 indicator is provided strictly for educational and informational purposes only. It is not financial advice and should not be considered a recommendation to buy or sell any financial instrument.
Trading financial markets involves significant risk. Past performance does not guarantee future results. Use this tool at your own risk and always apply proper risk management.
Terms of Use
By purchasing or gaining access to the LUCID LION TRINITY V1, you agree to the following:
1. Educational Use Only – This tool is for educational purposes and not investment advice.
2. No Profit Guarantee – Results are not guaranteed. Market conditions vary.
3. User Responsibility – You are solely responsible for your trading decisions. Lucid Lion LLC is not liable for outcomes.
4. Non-Transferable Access – Access is for personal use only; redistribution is prohibited.
5. Risk Disclosure – Trading carries risk. Trade only with money you can afford to lose.
6. Refund Policy – All purchases are final. No refunds will be issued.
The Gain Anchor - Long/Short SignalsThe Gain Anchor – Long/Short Signals (WunderTrading Bot Ready)
Dual Anchored VWAP System Powered by Overbought & Oversold Signals
A high-precision AVWAP and Z-Score system designed to generate Long/Buy and Short/Sell signals.
This indicator is ideal for swing trades and can be used as a standard signal indicator or seamlessly integrated for automated trading with WunderTrading bots.
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Inputs
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• Master Symbol: Sets the symbol used to track market trend. When disabled, the chart’s symbol is used to track its own trend.
• Rolling AVWAP Length: Defines the AVWAP calculation lookback (the bar where calculation starts).
• Minimum Investment Amount ($): Minimum is $6. For WunderTrading, it should not be less than $12.
• Minimum Profit Target ($): Ensures returns are higher than the defined minimum profit.
• Z-Score Lookback: Sets the lookback length for the Z-Score calculation window.
• Z-Score Threshold: Defines the base threshold. (The code auto-adjusts thresholds as more data is processed.)
• Long/Short Strings Input: Enter the alert messages you want to receive. For WunderTrading bots, input your Long Entry, Long Exit, Short Entry, and Short Exit codes.
• Show Other Lines: Displays Rolling AVWAP plot, Take Profit, and Stop Loss lines.
• Table Position: Choose the dashboard placement on your chart.
--------------------------------------------------
Core Logic
--------------------------------------------------
• Z-Score: Detects price deviation from its mean. When the price overextends based on the lookback, AVWAPs are reset.
• Resetting AVWAP 1 / Fast AVWAP (White Line): Uses a weaker threshold.
• Resetting AVWAP 2 / Slow AVWAP (Blue Line): Uses stronger thresholds, confirming and filtering weaker crosses.
• When AVWAP 2 resets, it signals a possible trend change and may generate new signals.
• If AVWAP 2 detects excessively frequent trend changes (high volatility), new signals are automatically disabled.
• Stop Loss and Take Profit are derived from bar distance relative to the lowest AVWAP (longs) or highest AVWAP (shorts).
If this exceeds your minimum investment, the system auto-adjusts the size.
If stop loss is not positioned beyond the AVWAPs, no signal is generated.
--------------------------------------------------
Trade Signals Logic
--------------------------------------------------
The indicator’s signal mechanism is designed to prevent overtrading during
high volatility.
- Signals are disabled when a sudden surge in volatility is detected.
- Only one signal is generated per legitimate trend change.
- Example:
• When the trend switches to bullish, only one Long signal is given.
• Once that Long position is closed (profit or loss), no new signal will be issued until another valid trend change occurs.
• The same logic applies to bearish/Short positions.
This ensures that signals remain clean, infrequent, and aligned with real trend shifts rather than noise.
--------------------------------------------------
Take Profit & Stop Loss
--------------------------------------------------
• Take Profit has two levels:
1. First Level: Triggered when the trend changes and price is below the first TP level.
2. Second Level: Triggered if the price surges into the second TP level.
The position is closed on whichever condition is met first.
• On Scale:
- Take Profit (Gray Line): Rolling take profit value.
- Stop Loss (Maroon Line): Rolling stop loss value, auto-calculated as half the minimum profit.
- Gray Stop Loss and Take Profit: Rolling Stop Loss and Take Profit purpose is mainly for manual trading but when they are both gray it is not ideal to look for an entry.
• On Chart:
- Take Profit: Lime (Longs), Fuchsia (Shorts). Fixed from signal start until triggered.
- Stop Loss: Yellow (Longs), Maroon (Shorts). Fixed from signal start until triggered.
- You have to activate "Show Other Lines" in Input to see them
--------------------------------------------------
Signal Markers
--------------------------------------------------
• 👆 = Long Entry
• Green Dot = Long Exit (TP/SL)
• 👇 = Short Entry
• Fuchsia Dot = Short Exit (TP/SL)
• 💥 = Bullish Trend
• 🔥 = Bearish Trend
--------------------------------------------------
Backtest System
--------------------------------------------------
• Displays the number of days since the first trade/backtest.
• Shows trade count, win rate, net profit/loss.
• Useful for real-time analysis and alert validation.
--------------------------------------------------
Dashboard Overview
--------------------------------------------------
Row 1 (Per Symbol):
• Column 1: Win Rate + Total Trades / Wins / Losses
• Color Modes: Blue = Win rate rising and it's 50 or higher. Brown = Win rate falling and it's 50 or higher. Grey = Falling and less than 50
• Column 2: Backest - number of days since the first trade
• Column 3: Net Profit + Total Profit / Total Loss
• Color Modes: Red = Loss greater than Profit , Green = Net Profit exceeds minimum profit x Total Trade Won, Brown = Profit greater than Loss but high bad trades
• Column 4: Investment Amount + Minimum Profit | Gain % to Target
• Color Modes: Signal State: Lime = Long, Maroon = Short, Yellow = Both Active
--------------------------------------------------
Usage Notes
--------------------------------------------------
• Works for manual or automated execution.
• Fully compatible with WunderTrading’s JSON alert format (and any platform using the same format).
• Can also be used standalone with no dependencies.
• Dashboard and auto-calculated SL/TP make it flexible across all trading styles.
• Minimum Investment Amount affects SL/TP size and therefore win rate.
• Increasing Minimum Profit increases potential profit but also increases loss size.
• Loss-to-Win ratio is always 1:2+, meaning your wins are at least double your losses.
• Optimized for 1-minute timeframe. Other timeframes may also yield desirable results.
--------------------------------------------------
⚠️ Disclaimer
--------------------------------------------------
This indicator does not constitute financial advice or a trading recommendation.
All trading involves risk. Past performance does not guarantee future results.
Options Trading Max Success_V1DISCLAIMER:
The information provided is NOT financial advice. I am not a financial adviser, accountant or the like. This information is purely from my own due diligence and an expression of my thoughts, my opinions based on my personal experiences, and the way I transact.
Utilize this indicator at your own risk..! The indicator creator is not liable for your loss due to untimely action / adverse consequences / server lags from Tradingview (if any).
======================================================
Welcome!
This is a 95-100% Success rate High Frequency Indicator exclusively for Binary Options Traders. It works on any time frames and pairs but is EXCLUSIVELY built for 1-minute candles for EUR/USD currency on "OANDA" forex chart. So, use it for same to get this indicator working at its best.
Use Martingale strategy (5 attempts max) for making profits / recover loss with some profits.
======================
Martingale Strategy For your knowledge with an example:
1) Lets say you are trading on binary options platform that gives 80% profit upon successful trade.
2) UP signal seen. You do the below from next candle:
a) 1st attempt = Rs.100.
- If Success, then profit = Rs.80. Cycle close and exit.
- If Loss, then do 2nd attempt.
b) 2nd attempt =Rs.200.
- If Success, then profit = Rs.160. (Rs. 100 recovery + Rs.60 Profit). Cycle close and exit.
- If Loss, then do 3rd attempt.
c) 3rd attempt = Rs. 400.
- If Success, then profit = Rs.320. (Rs. 300 recovery + Rs.20 Profit). Cycle close and exit.
- If Loss, then do 4th attempt.. and so on.
=======================
If you see any body less/Doji candle in between your attempts. Then do not continue further.
Hold this cycle for next similar stage. For example:
Select chart which promises: Success = 80% profit.
Then attempt the below on the next candle AFTER you see an UP signal.
Cycle 1: UP signal seen. 5 attempts from next candle:
Let's say:
1st attempt = Rs.100. Result = loss
2nd attempt =Rs.200. Result = loss
3rd attempt = Rs.400. Result = No profit/loss (due to Doji candle/candle without body).
Recommendation: Do not proceed further in current cycle. Hold on for next cycle/UP signal.
Park Rs.400 rupees attempt aside for a while.
Cycle 2: UP signal seen. 5 attempts from next candle:
Let's say:
1st attempt = Rs.100. Result = loss
2nd attempt =Rs.200. Result = Success
Cycle Completed. Wait for next cycle/Up signal
Cycle 3: UP signal seen. 5 attempts from next candle:
Let's say:
1st attempt = Rs.100. Result = loss
2nd attempt =Rs.200. Result = loss
3rd attempt = Now you can attempt with Rs. 800.
.
=====================
Recommendations:
- Keep a good discipline and make smart moves.
- You may add other supporting indicators of your choice along with this.
- You can keep your trading attempts low i.e. After you see an UP signal, let go the 1st one/two/three candles. If they turn out to be Red candles back to back, then good for you, as you can start entry of attempts from the 2nd/3rd/4th candle. Thereby evading one/two/three few failed attempts. If any candle gets green After Up signal and before your entry, then do not enter this cycle. Wait for next cycle.
Good luck.
================
52SIGNAL RECIPE Coinbase Institutional Smart Money DetectorCoinbase Institutional Smart Money Detector
◆ Overview
Coinbase Institutional Smart Money Detector is an innovative indicator that detects the buying and selling movements of institutional investors through Coinbase Prime in real-time. This powerful tool tracks the flow of funds from large institutions to provide valuable signals before significant market direction changes occur. It can be applied to Bitcoin charts on any exchange, allowing traders to follow the "smart money" movements of institutions anytime, anywhere.
The unique strength of this indicator lies in its comprehensive assessment of institutional investors' consecutive trading behaviors, volume patterns, and trend strength by analyzing Coinbase data in real-time. By providing clear visual representation of institutional fund flow data that is difficult for ordinary traders to access, you gain the opportunity to move alongside the big players in the market.
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◆ Key Features
• Coinbase Prime Data Analysis: Tracks institutional movements in real-time by analyzing data from Coinbase Prime, an institutional-only service
• Real-time Institutional Fund Flow Monitoring: Immediately detects large institutions' spot buying/selling activities, allowing positioning ahead of the market
• Universal Exchange Compatibility: Applicable to Bitcoin charts on any exchange, enabling use on your preferred trading platform
• Institutional Continuity Analysis: Identifies continuous institutional activity by tracking consecutive buying/selling patterns
• Smart Volume Analysis: Detects increased volume compared to averages and analyzes key trading time periods
• Trend Strength Measurement: Quantifies and displays the strength of upward/downward trends by analyzing candle patterns
• Intuitive Visualization: Clearly marks institutional activity points on charts through bar coloring and labels
• Real-time Strength Display: Calculates and displays current trend strength in a table in real-time
• Customizable Settings: Allows customization of key parameters to match your trading style
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◆ Understanding Signal Types
■ Institutional Buy Signal
• Definition: Occurs when institutional investors show consecutive buying activity through Coinbase Prime, accompanied by increased volume and strong upward trend
• Visual Representation: Translucent blue bar coloring and "Institution Buying Detected!" label on the candle where the buy signal occurs
• Market Interpretation: Indicates that institutional investors are actively buying spot Bitcoin, which is likely to lead to price increases
• Signal Strength Factors:
▶ Consecutive price increase patterns
▶ Above-average volume
▶ Strong upward trend strength measurement
▶ Significant price movement
■ Institutional Sell Signal
• Definition: Occurs when institutional investors show consecutive selling activity through Coinbase Prime, accompanied by increased volume and strong downward trend
• Visual Representation: Translucent pink bar coloring and "Institution Selling Detected!" label on the candle where the sell signal occurs
• Market Interpretation: Indicates that institutional investors are actively selling spot Bitcoin, which is likely to lead to price decreases
• Signal Strength Factors:
▶ Consecutive price decrease patterns
▶ Above-average volume
▶ Strong downward trend strength measurement
▶ Significant price movement
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◆ Understanding Trend Strength
■ Trend Strength Measurement Method
• Definition: Measures trend strength by analyzing the ratio of up/down candles over a recent period
• Visual Representation: Displayed in the table as "BULL STRENGTH" or "BEAR STRENGTH" with percentage value and "STRONG" or "WEAK" status
• Strength Threshold: Strong/weak determination according to user-configurable threshold
• Calculation Method:
▶ Upward trend strength = (Number of upward candles) / (Total analysis period)
▶ Downward trend strength = (Number of downward candles) / (Total analysis period)
▶ Displayed as "STRONG" when strength is above threshold, "WEAK" when below
■ Utilizing Trend Strength
• Signal Filtering: Generates signals only when trend strength is strong, reducing false signals
• Trend Confirmation: Evaluates the health and sustainability of the current market trend
• Entry/Exit Decisions: Consider entering in strong trends and exiting when trends weaken
• Risk Management: Develop strategies to reduce position size in weak trends and increase in strong trends
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◆ Practical Trading Applications
■ Institutional Buy Signal Strategy
• Trend Reversal Scenario:
▶ Setup: Strong institutional buy signal during a downtrend
▶ Entry: Buy after signal confirmation in the next candle
▶ Stop Loss: Below the low of the signal candle
▶ Take Profit: When reaching previous major resistance or when trend strength weakens
• Trend Continuation Scenario:
▶ Setup: Institutional buy signal after correction in an uptrend
▶ Entry: Buy after signal confirmation
▶ Stop Loss: Below recent major low
▶ Take Profit: Gradually take profits considering trend strength
■ Institutional Sell Signal Strategy
• Trend Reversal Scenario:
▶ Setup: Strong institutional sell signal during an uptrend
▶ Entry: Sell after signal confirmation in the next candle
▶ Stop Loss: Above the high of the signal candle
▶ Take Profit: When reaching previous major support or when trend strength weakens
• Trend Continuation Scenario:
▶ Setup: Institutional sell signal after bounce in a downtrend
▶ Entry: Sell after signal confirmation
▶ Stop Loss: Above recent major high
▶ Take Profit: Gradually take profits considering trend strength
■ Multi-Timeframe Approach
• Higher Timeframe Direction Confirmation:
▶ Check institutional signals and trend strength on daily/4-hour charts
▶ Use for setting main trading direction
• Lower Timeframe Entry Point Finding:
▶ Wait for lower timeframe signals that align with higher timeframe direction
▶ Use for capturing precise entry points
• Cross-Timeframe Signal Alignment:
▶ Signal strength increases when signals occur in the same direction across multiple timeframes
▶ Capture high-probability trading opportunities
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◆ Indicator Settings Guide
■ Main Setting Parameters
• Institutional Continuity Period:
▶ Purpose: Sets the period to check institutional consecutive buying/selling activity
▶ Lower value: Generates more signals, increases responsiveness
▶ Higher value: Reduces number of signals, increases reliability
• Trend Strength Threshold:
▶ Purpose: Sets the minimum threshold for determining strong trends
▶ Lower value: More signals, less filtering
▶ Higher value: Generates signals only in stronger trends, higher filtering
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◆ Synergy with Other Indicators
• Support/Resistance Levels:
▶ Institutional signals occurring at key support/resistance levels have higher probability
▶ Combination of key technical analysis levels and institutional activity provides powerful signals
• Moving Averages:
▶ Pay attention to institutional signals near key moving averages (50MA, 200MA)
▶ Strong trend change possibility when moving average crossovers coincide with institutional signals
• RSI/Momentum Indicators:
▶ Institutional buy signals in oversold conditions increase reversal probability
▶ Institutional sell signals in overbought conditions increase reversal probability
• Volume Profile:
▶ Institutional signals at high volume nodes confirm important price levels
▶ Institutional activity in key trading areas greatly impacts price direction
• Market Structure:
▶ Institutional signals near key market structures (higher highs/lows, lower highs/lows) suggest structural changes
▶ Coincidence of market structure changes and institutional activity indicates important trend turning points
─────────────────────────────────────
◆ Conclusion
Coinbase Institutional Smart Money Detector provides traders with valuable insights by tracking spot Bitcoin trading activities of institutional investors through Coinbase Prime in real-time. Because it can be applied to Bitcoin charts on any exchange, you can utilize it immediately on your preferred trading platform.
The core value of this indicator is providing intuitive visualization of institutional fund flow data that is difficult for ordinary traders to access. By comprehensively analyzing consecutive price movements, volume increases, and trend strength to capture institutional activity, you gain the opportunity to move alongside the big players in the market.
Clear buy/sell signals based on Coinbase Prime data and real-time trend strength measurements help traders quickly grasp market conditions and make strategic decisions. By integrating this powerful tool into your trading strategy, secure a competitive edge to understand where the market's smart money is flowing and position accordingly.
─────────────────────────────────────
※ Disclaimer: Like all trading tools, the Institutional Smart Money Detector should be used as a supplementary indicator and not relied upon exclusively for trading decisions. Past patterns of institutional behavior may not guarantee future market movements. Always employ appropriate risk management strategies in your trading.
Coinbase Institutional Smart Money Detector
◆ 개요
Coinbase Institutional Smart Money Detector는 코인베이스 프라임(Coinbase Prime)을 통한 기관 투자자들의 현물 비트코인 매수/매도 움직임을 실시간으로 감지하는 혁신적인 지표입니다. 이 강력한 도구는 대형 기관들의 자금 흐름을 추적하여 중요한 시장 방향 전환이 일어나기 전에 귀중한 신호를 제공합니다. 어떤 거래소의 비트코인 차트에도 적용 가능하여 트레이더들이 언제 어디서든 기관의 "스마트 머니" 움직임을 따라갈 수 있게 해줍니다.
이 지표의 독보적인 강점은 코인베이스 데이터를 실시간으로 분석하여 기관 투자자들의 연속적인 매매 행동, 거래량 패턴, 그리고 추세 강도를 종합적으로 평가한다는 점입니다. 일반 트레이더들이 접근하기 어려운 기관 자금 흐름 데이터를 시각적으로 명확하게 제공함으로써, 여러분은 시장의 큰 손들과 함께 움직일 수 있는 기회를 얻게 됩니다.
─────────────────────────────────────
◆ 주요 특징
• 코인베이스 프라임 데이터 분석: 기관 전용 서비스인 코인베이스 프라임의 데이터를 실시간으로 추적하여 기관의 움직임 포착
• 실시간 기관 자금 흐름 모니터링: 대형 기관들의 현물 매수/매도 활동을 즉각적으로 감지하여 시장에 앞서 포지셔닝 가능
• 모든 거래소 호환성: 어떤 거래소의 비트코인 차트에도 적용 가능하여 선호하는 트레이딩 플랫폼에서 활용 가능
• 기관 연속성 분석: 연속적인 매수/매도 패턴을 추적하여 기관의 지속적인 활동 식별
• 스마트 볼륨 분석: 평균 대비 거래량 증가를 감지하고 주요 거래 시간대를 분석
• 추세 강도 측정: 캔들 패턴을 분석해 상승/하락 추세의 강도를 수치화하여 표시
• 직관적 시각화: 바 컬러링과 라벨을 통해 기관 활동 지점을 차트에 명확하게 표시
• 실시간 강도 표시: 현재 추세의 강도를 실시간으로 계산하여 테이블에 표시
• 사용자 정의 설정: 주요 매개변수를 조정하여 자신의 트레이딩 스타일에 맞게 커스터마이징 가능
─────────────────────────────────────
◆ 신호 유형 이해하기
■ 기관 매수 신호
• 정의: 코인베이스 프라임을 통해 기관 투자자들이 연속적인 매수 활동을 보이며, 이와 함께 거래량 증가와 강한 상승 추세가 나타날 때 발생
• 시각적 표현: 매수 신호가 발생한 캔들에 반투명 파란색 바 컬러링과 함께 "Institution Buying Detected!" 라벨 표시
• 시장 해석: 기관 투자자들이 적극적으로 현물 비트코인을 매수하고 있으며, 이는 곧 가격 상승으로 이어질 가능성이 높음을 의미
• 신호 강도 요소:
▶ 연속적인 가격 상승 패턴
▶ 평균보다 높은 거래량
▶ 강한 상승 추세 강도 측정값
▶ 유의미한 가격 변동
■ 기관 매도 신호
• 정의: 코인베이스 프라임을 통해 기관 투자자들이 연속적인 매도 활동을 보이며, 이와 함께 거래량 증가와 강한 하락 추세가 나타날 때 발생
• 시각적 표현: 매도 신호가 발생한 캔들에 반투명 분홍색 바 컬러링과 함께 "Institution Selling Detected!" 라벨 표시
• 시장 해석: 기관 투자자들이 적극적으로 현물 비트코인을 매도하고 있으며, 이는 곧 가격 하락으로 이어질 가능성이 높음을 의미
• 신호 강도 요소:
▶ 연속적인 가격 하락 패턴
▶ 평균보다 높은 거래량
▶ 강한 하락 추세 강도 측정값
▶ 유의미한 가격 변동
─────────────────────────────────────
◆ 추세 강도 이해하기
■ 추세 강도 측정 방식
• 정의: 최근 일정 기간 동안의 상승/하락 캔들 비율을 분석하여 추세의 강도를 측정
• 시각적 표현: 테이블에 "BULL STRENGTH" 또는 "BEAR STRENGTH"로 표시되며, 백분율 값과 함께 "STRONG" 또는 "WEAK" 상태 표시
• 강도 임계값: 사용자가 설정 가능한 임계값에 따라 강함/약함 판정
• 계산 방식:
▶ 상승 추세 강도 = (상승 캔들 수) / (전체 분석 기간)
▶ 하락 추세 강도 = (하락 캔들 수) / (전체 분석 기간)
▶ 강도가 임계값 이상일 때 "STRONG", 미만일 때 "WEAK"로 표시
■ 추세 강도의 활용
• 신호 필터링: 추세 강도가 강할 때만 신호를 생성하여 허위 신호 감소
• 추세 확인: 현재 시장 추세의 건전성과 지속 가능성 평가
• 진입/퇴출 결정: 강한 추세에서 진입하고 약한 추세로 전환될 때 퇴출 고려
• 리스크 관리: 약한 추세에서는 포지션 크기를 줄이고, 강한 추세에서는 늘리는 전략 수립 가능
─────────────────────────────────────
◆ 실전 트레이딩 응용
■ 기관 매수 신호 활용 전략
• 추세 전환 시나리오:
▶ 설정: 하락 추세 중 강한 기관 매수 신호 발생
▶ 진입: 신호 확인 후 다음 캔들에서 매수
▶ 손절: 신호 캔들의 저점 아래
▶ 이익실현: 이전 주요 저항선 도달 시 또는 추세 강도가 약해질 때
• 추세 지속 시나리오:
▶ 설정: 상승 추세 중 조정 후 기관 매수 신호 발생
▶ 진입: 신호 확인 후 매수
▶ 손절: 최근 주요 저점 아래
▶ 이익실현: 추세 강도를 고려하여 단계적으로 이익실현
■ 기관 매도 신호 활용 전략
• 추세 전환 시나리오:
▶ 설정: 상승 추세 중 강한 기관 매도 신호 발생
▶ 진입: 신호 확인 후 다음 캔들에서 매도
▶ 손절: 신호 캔들의 고점 위
▶ 이익실현: 이전 주요 지지선 도달 시 또는 추세 강도가 약해질 때
• 추세 지속 시나리오:
▶ 설정: 하락 추세 중 반등 후 기관 매도 신호 발생
▶ 진입: 신호 확인 후 매도
▶ 손절: 최근 주요 고점 위
▶ 이익실현: 추세 강도를 고려하여 단계적으로 이익실현
■ 다중 시간프레임 접근법
• 상위 시간프레임 방향성 확인:
▶ 일봉/4시간봉에서 기관 신호 및 추세 강도 확인
▶ 주 트레이딩 방향 설정에 활용
• 하위 시간프레임 진입점 찾기:
▶ 상위 시간프레임 방향과 일치하는 하위 시간프레임 신호 대기
▶ 정밀한 진입점 포착에 활용
• 시간프레임 간 신호 일치 확인:
▶ 여러 시간프레임에서 동일한 방향의 신호가 발생할 때 신호 강도 증가
▶ 높은 확률의 트레이딩 기회 포착
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◆ 지표 설정 가이드
■ 주요 설정 매개변수
• Institutional Continuity Period (기관 연속성 확인 기간):
▶ 목적: 기관의 연속적인 매수/매도 활동을 확인할 기간 설정
▶ 낮은 값: 더 많은 신호 생성, 반응성 증가
▶ 높은 값: 신호 수 감소, 신뢰성 증가
• Trend Strength Threshold (추세 강도 임계값):
▶ 목적: 추세가 강하다고 판단할 최소 임계값 설정
▶ 낮은 값: 더 많은 신호, 낮은 필터링
▶ 높은 값: 더 강한 추세에서만 신호 생성, 높은 필터링
─────────────────────────────────────
◆ 다른 지표와의 시너지
• 지지/저항 레벨:
▶ 주요 지지/저항 레벨에서 발생하는 기관 신호는 확률이 더 높음
▶ 기술적 분석의 핵심 레벨과 기관 활동의 결합은 강력한 시그널 제공
• 이동평균선:
▶ 주요 이동평균선(50MA, 200MA) 근처에서 발생하는 기관 신호 주목
▶ 이동평균선 돌파와 기관 신호가 일치할 때 강한 추세 변화 가능성
• RSI/모멘텀 지표:
▶ 과매수/과매도 상태에서 발생하는 기관 신호는 반전 가능성 높임
▶ 모멘텀 다이버전스와 기관 신호의 일치는 강력한 반전 신호
• 볼륨 프로파일:
▶ 높은 볼륨 노드에서 발생하는 기관 신호는 중요한 가격 레벨 확인
▶ 주요 거래 영역에서의 기관 활동은 가격 방향에 큰 영향 미침
• 시장 구조:
▶ 주요 시장 구조(높은 고점/저점, 낮은 고점/저점) 근처에서 발생하는 기관 신호는 구조 변화 암시
▶ 시장 구조 변화와 기관 활동의 일치는 중요한 추세 전환점 표시
─────────────────────────────────────
◆ 결론
Coinbase Institutional Smart Money Detector는 코인베이스 프라임을 통한 기관 투자자들의 현물 비트코인 거래 활동을 실시간으로 추적하여 트레이더들에게 귀중한 통찰력을 제공합니다. 어떤 거래소의 비트코인 차트에도 적용 가능하기 때문에, 여러분이 선호하는 트레이딩 플랫폼에서 바로 활용할 수 있습니다.
이 지표의 핵심 가치는 일반 트레이더들이 접근하기 어려운 기관 자금 흐름 데이터를 직관적으로 시각화하여 제공한다는 점입니다. 연속적인 가격 움직임, 거래량 증가, 그리고 추세 강도를 종합적으로 분석하여 기관의 활동을 포착함으로써, 여러분은 시장의 큰 손들과 함께 움직일 수 있는 기회를 얻게 됩니다.
코인베이스 프라임 데이터를 기반으로 한 명확한 매수/매도 신호와 실시간 추세 강도 측정은 트레이더들이 시장 상황을 한눈에 파악하고 신속하게 전략적 결정을 내릴 수 있게 도와줍니다. 이 강력한 도구를 여러분의 트레이딩 전략에 통합함으로써, 시장의 스마트 머니가 어디로 흘러가는지 파악하고 그에 따라 포지셔닝할 수 있는 경쟁 우위를 확보하세요.
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※ 면책 조항: 모든 트레이딩 도구와 마찬가지로, Institutional Smart Money Detector는 보조 지표로 사용해야 하며 트레이딩 결정을 전적으로 의존해서는 안 됩니다. 과거의 기관 행동 패턴이 미래 시장 움직임을 보장하지는 않습니다. 항상 적절한 리스크 관리 전략을 트레이딩에 활용하세요.
Automated Scalping Signals with TP/SL Indicator [QuantAlgo]🟢 Overview
The Automated Scalping Signals with Take Profit & Stop Loss Indicator is a multi-timeframe trading system that combines market structure analysis with directional bias filtering to identify potential scalping opportunities. It detects Points of Interest (POI) including Fair Value Gaps (FVG) and Order Blocks (OB) while cross-referencing entries with higher timeframe exponential moving average positioning to create systematic entry conditions.
The indicator features adaptive timeframe calculations that automatically scale analysis periods based on your chart timeframe, maintaining consistent analytical relationships across different trading sessions. It provides integrated trade management with stop loss calculation methods, configurable risk-reward ratios, and real-time performance tracking through dashboard displays showing trade statistics, bias direction, and active position status.
This advanced system is designed for low timeframe trading, typically performing optimally on 1 to 15-minute charts across popular instruments such as OANDA:XAUUSD , CME_MINI:MES1! , CME_MINI:ES1! , CME_MINI:MNQ1! , CBOT_MINI:YM1! , CBOT_MINI:MYM1! , BYBIT:BTCUSDT.P , BYBIT:ETHUSDT.P , or any asset and timeframe of your preference.
🟢 How It Works
The indicator operates using a dual-timeframe mathematical framework where higher timeframe exponential moving averages establish directional bias through cross-over analysis, while simultaneously scanning for specific market structure patterns on the POI timeframe. The timeframe calculation engine uses multiplication factors to determine analysis periods, ensuring the bias timeframe provides trend context while the POI timeframe captures structural formations.
The structural analysis begins with FVG detection, which systematically scans price action to identify imbalances where gaps exist between consecutive candle ranges with no overlapping wicks. When such gaps are detected, the algorithm measures their size against minimum thresholds to filter out insignificant formations. Concurrently, OB recognition analyzes three-candle sequences, examining specific open/close relationships that indicate potential institutional accumulation zones. Once these structural patterns are identified, the algorithm cross-references them against the higher timeframe bias direction, creating a validation filter that only permits entries aligned with the prevailing EMA cross-over state. When price subsequently intersects these validated POI zones, entry signals generate with the system calculating entry levels at zone midpoints, then applying the selected stop loss methodology combined with the configured risk-reward ratio to determine take profit placement.
To mirror realistic trading conditions, the indicator incorporates configurable slippage calculations that account for execution differences between intended and actual fill prices. When trades reach their take profit or stop loss levels, the algorithm applies slippage adjustments that worsen the exit prices in a conservative manner - reducing take profit fills and increasing stop loss impact. This approach ensures backtesting results reflect more realistic performance expectations by accounting for spread costs, market volatility during execution, and liquidity constraints that occur in live trading environments.
It also has a performance dashboard that continuously tracks and displays comprehensive trading metrics:
1/ Bias TF / POI TF: Displays the calculated timeframes used for bias analysis and POI detection, showing the actual periods (e.g., "15m / 5m") that result from the multiplier settings to confirm proper adaptive timeframe selection
2/ Bias Direction: Shows current market trend assessment (Bullish, Bearish, or Sideways) derived from EMA cross-over analysis to indicate which trade directions align with prevailing momentum
3/ Data Processing: Indicates how many price bars have been analyzed by the system, helping users verify if complete historical data has been processed for comprehensive strategy validation
4/ Total Trades: Displays the cumulative number of completed trades plus any active positions, providing volume assessment for statistical significance of other metrics
5/ Wins/Losses: Shows the raw count of profitable versus unprofitable trades, offering immediate insight into strategy effectiveness frequency
6/ Win Rate: Reveals the percentage of successful trades, where values above 50% generally indicate effective entry timing and values below suggest strategy refinement needs
7/ Total R-Multiple: Displays cumulative risk-reward performance across all trades, with positive values demonstrating profitable system operation and negative values indicating net losses requiring analysis
8/ Average R Win/Loss: Shows average risk-reward ratios for winning and losing trades separately, where winning averages approaching the configured take profit ratio indicate minimal slippage impact while losing averages near -1.0 suggest effective stop loss execution
9/ TP Ratio / Slippage: Displays the configured take profit ratio and slippage settings with calculated performance impact, showing how execution costs affect actual versus theoretical returns
10/ Profit Factor: Calculates the ratio of total winning amounts to total losing amounts, where values above 1.5 suggest robust profitability, values between 1.0-1.5 indicate modest success, and values below 1.0 show net losses
11/ Maximum Drawdown: Tracks the largest peak-to-trough decline in R-multiple terms, with smaller negative values indicating better capital preservation and risk control during losing streaks
🟢 How to Use
Start by applying the indicator to your chart and observe its performance across different market conditions to understand how it identifies bias direction and POI formations. Then navigate to the settings panel to configure the Bias Timeframe Multiplier for trend context sensitivity and POI Timeframe Multiplier for structural analysis frequency according to your trading preference and objectives.
Next, fine-tune the EMA periods in Bias Settings to control trend detection sensitivity and select your preferred POI types based on your analytical preference. Proceed to configure your Risk Management approach by selecting from the available stop loss calculation methods and setting the Take Profit ratio that aligns with your risk tolerance and profit objectives. Complete the setup by customizing Display Settings to control table visibility and trade visualization elements, adjusting UI positioning and colors for optimal chart readability, then activate Alert Conditions for automated notifications on trade entries, exits, and bias direction changes to support systematic trade management.
🟢 Examples
OANDA:XAUUSD
CME_MINI:MES1!
CME_MINI:ES1!
CME_MINI:MNQ1!
CBOT_MINI:YM1!
BYBIT:BTCUSDT.P
BINANCE:SOLUSD
*Disclaimer: Past performance is not indicative of future results. None of our statements, claims, or signals from our indicators are intended to be financial advice. All trading involves substantial risk of loss, not just upside potential. Users are highly recommended to carefully consider their financial situation and risk tolerance before trading.
Adaptive Momentum Deviation Oscillator | QuantMACAdaptive Momentum Deviation Oscillator | QuantMAC 📊
Overview 🎯
The Adaptive Momentum Deviation Oscillator (AMDO) is an advanced technical analysis indicator that combines the power of Bollinger Bands with adaptive momentum calculations to identify optimal entry and exit points in financial markets. This sophisticated oscillator creates dynamic bands that adapt to market volatility while providing clear visual signals for both trending and ranging market conditions.
How It Works 🔧
Core Methodology
The AMDO employs a sophisticated multi-layered approach to market analysis through four distinct phases:
Bollinger Band Foundation : The indicator begins by establishing a volatility baseline using traditional Bollinger Bands. These bands are calculated using a simple moving average as the center line, with upper and lower bands positioned at a specific number of standard deviations away from this centerline. The distance between these bands expands and contracts based on market volatility, creating a dynamic envelope around price action.
BB% Normalization Process : The raw price data is then transformed into a normalized percentage format that represents where the current price sits within the Bollinger Band envelope. When price is at the lower band, this percentage reads 0%; at the upper band, it reads 100%. This normalization allows for consistent comparison across different timeframes and price levels, creating a standardized oscillator that oscillates between extreme values.
Adaptive Momentum Band Construction : The normalized BB% values undergo a secondary volatility analysis where their own standard deviation is calculated over a specified period. This creates "bands around the bands" - upper and lower boundaries that adapt to the volatility of the normalized price position itself. These adaptive bands expand during periods of high momentum volatility and contract during consolidation phases.
Intelligent Signal Synthesis : The final layer combines the adaptive momentum bands with user-defined threshold levels to create a sophisticated trigger system. The indicator monitors when the dynamic bands cross above or below these thresholds, filtering out noise while capturing significant momentum shifts. This creates a dual-confirmation system where both volatility adaptation and threshold breaches must align for signal generation.
Key Components 🛠️
Adaptive Momentum Bands 📈
Dynamic Volatility Response : These bands automatically widen during periods of high momentum volatility and narrow during consolidation phases. Unlike fixed oscillator boundaries, they continuously recalibrate based on recent price behavior within the Bollinger Band framework.
Dual-Layer Calculation : The bands are derived from the volatility of the normalized price position itself, creating a "volatility of volatility" measurement. This provides early warning signals when momentum characteristics are changing, even before price breakouts occur.
State-Aware Visualization : The bands employ intelligent color coding that transitions between active and neutral states based on their interaction with threshold levels. Active states indicate high-probability momentum conditions, while neutral states suggest consolidation or indecision.
Momentum Persistence Tracking : The bands maintain memory of recent momentum characteristics, allowing them to distinguish between genuine momentum shifts and temporary price spikes or dips.
Threshold Levels 🎚️
Statistical Significance Boundaries : The threshold levels (default 83 for long, 40 for short) are positioned to capture statistically significant momentum events while filtering out market noise. These levels represent points where momentum probability shifts meaningfully in favor of directional moves.
Asymmetric Design Philosophy : The intentional asymmetry between long and short thresholds (83 vs 40) reflects the natural upward bias of many financial markets and the different risk/reward profiles of long versus short positions.
Contextual Sensitivity : The thresholds work in conjunction with the adaptive bands to create context-sensitive triggers. A threshold breach is only meaningful when it occurs in the proper sequence with band interactions.
Risk-Adjusted Positioning : The threshold levels are calibrated to provide favorable risk-adjusted entry points, considering both the probability of success and the potential magnitude of subsequent moves.
Bollinger Bands Overlay 📊
Multi-Timeframe Context : The price chart overlay provides essential context by showing traditional Bollinger Bands alongside the oscillator. This dual perspective allows traders to see both the absolute price position and the momentum characteristics simultaneously.
Support/Resistance Identification : The filled band area creates a visual representation of dynamic support and resistance levels. Price interaction with these bands provides additional confirmation for oscillator signals.
Volatility Environment Assessment : The width and slope of the bands offer immediate visual feedback about the current volatility environment, helping traders adjust their expectations and risk management accordingly.
Confluence Analysis : The overlay enables traders to identify confluence between price action at Bollinger Band levels and oscillator signals, creating higher-probability trade setups.
Signal Generation ⚡
The AMDO generates signals through precise mathematical crossover events:
Long Signals 🟢
Momentum Accumulation Detection : Long signals are generated when the lower adaptive momentum band crosses above the 83 threshold, indicating that downside momentum has exhausted and bullish momentum is beginning to accumulate. This represents a shift from defensive to offensive market posture.
Statistical Edge Confirmation : The crossing event occurs only when momentum characteristics have shifted sufficiently to provide a statistical edge for long positions. The adaptive nature ensures the signal quality remains consistent across different market volatility regimes.
Visual State Synchronization : Upon signal generation, the entire indicator ecosystem shifts to a bullish state - bar colors change, band states update, and the visual hierarchy emphasizes the long bias until conditions change.
Momentum Persistence Validation : The signal incorporates momentum persistence analysis to distinguish between genuine trend starts and false breakouts, reducing whipsaw trades in choppy market conditions.
Short Signals 🔴
Momentum Exhaustion Recognition : Short signals trigger when the upper adaptive momentum band crosses below the 40 threshold, signaling that bullish momentum has peaked and bearish momentum is emerging. This asymmetric threshold reflects the different dynamics of bullish versus bearish market phases.
Volatility-Adjusted Timing : The adaptive band system ensures that short signals are generated with appropriate timing regardless of the underlying volatility environment, maintaining signal quality in both high and low volatility conditions.
Regime-Aware Activation : Short signals are only active in Long/Short trading mode, recognizing that not all trading strategies benefit from short positions. The indicator adapts its behavior based on the selected trading approach.
Risk-Calibrated Thresholds : The 40 threshold is specifically calibrated to capture meaningful bearish momentum shifts while accounting for the higher risk typically associated with short positions.
Cash Signals 💰
Defensive Positioning Logic : In Long/Cash mode, cash signals are generated when short conditions are met, allowing traders to move to a defensive cash position rather than taking on short exposure. This preserves capital during unfavorable market conditions.
Risk Mitigation Strategy : Cash signals represent a risk-off approach that removes market exposure when momentum conditions favor the short side, protecting long-biased portfolios from adverse market movements.
Opportunity Cost Optimization : The cash position allows traders to avoid negative returns while maintaining flexibility to re-enter long positions when momentum conditions improve, optimizing the risk-adjusted return profile.
Features & Customization ⚙️
Color Schemes 🎨
9 pre-built color schemes (Classic through Classic9)
Custom color override option
Dynamic color changes based on signal states
Trading Modes 📈
Long/Short : Full bidirectional trading capability
Long/Cash : Long-only strategy with cash positions
Performance Metrics 📊
The indicator includes a comprehensive suite of advanced performance analytics that provide deep insights into strategy effectiveness:
Risk-Adjusted Return Metrics
Sortino Ratio : Measures returns relative to downside deviation only, providing a more accurate assessment of risk-adjusted performance by focusing on harmful volatility rather than total volatility. This metric is particularly valuable for asymmetric return distributions.
Sharpe Ratio : Calculates excess return per unit of total risk, offering a standardized measure of risk-adjusted performance that allows for comparison across different strategies and timeframes.
Omega Ratio : Employs probability-weighted analysis to compare the likelihood and magnitude of gains versus losses, providing insights into the overall shape of the return distribution and tail risk characteristics.
Drawdown and Risk Analysis
Maximum Drawdown : Tracks the largest peak-to-trough equity decline, providing crucial information about the worst-case scenario and helping traders understand the emotional and financial stress they might encounter.
Dynamic Drawdown Monitoring : Continuously updates drawdown calculations in real-time, allowing traders to monitor current drawdown levels relative to historical maximums.
Trade Statistics and Profitability
Profit Factor Analysis : Compares gross profits to gross losses, revealing the efficiency of the trading approach and the relationship between winning and losing trades.
Win Rate Calculation : Provides the percentage of profitable trades, which must be interpreted in conjunction with profit factor and average trade size for meaningful analysis.
Trade Frequency Tracking : Monitors total trade count to assess strategy turnover and transaction cost implications.
Position Sizing Guidance
Half Kelly Percentage : Calculates optimal position sizing based on Kelly Criterion methodology, then applies a conservative 50% reduction to account for parameter uncertainty and reduce volatility. This provides mathematically-based position sizing guidance that balances growth with risk management.
Parameters & Settings 🔧
BMD Settings
- Base Length : Period for Bollinger Band calculation (default: 10)
- Source : Price data source (default: close)
- Standard Deviation Length : Period for volatility calculation (default: 35)
- SD Multiplier : Bollinger Band width multiplier (default: 1.0)
- BB% Multiplier : Scaling factor for BB% calculation (default: 100)
BMD Settings
Base Length : Period for Bollinger Band calculation (default: 10)
Source : Price data source (default: close)
Standard Deviation Length : Period for volatility calculation (default: 35)
SD Multiplier : Bollinger Band width multiplier (default: 1.0)
BB% Multiplier : Scaling factor for BB% calculation (default: 100)
Signal Thresholds 🎯
Long Threshold : Trigger level for long signals (default: 83)
Short Threshold : Trigger level for short signals (default: 40)
Display Options 🖥️
Toggleable metrics table with 6 position options
Customizable date range limiter
Multiple visual elements for comprehensive analysis
Use Cases & Applications 💡
Trend Following
Identifies momentum shifts in trending markets
Provides early entry signals during trend continuations
Adaptive bands adjust to changing volatility conditions
Mean Reversion
Detects oversold/overbought conditions
Signals potential reversal points
Works effectively in ranging markets
Risk Management
Built-in performance metrics for strategy evaluation
Half Kelly percentage for position sizing guidance
Maximum drawdown monitoring
Advantages ✅
Adaptive Nature : Automatically adjusts to market volatility
Dual Display : Oscillator and price chart components work together
Comprehensive Metrics : Built-in performance analysis
Flexible Trading Modes : Supports different trading strategies
Visual Clarity : Color-coded signals and states
Customizable : Extensive parameter adjustment options
Important Considerations ⚠️
This indicator is designed for educational and analysis purposes
Should be used in conjunction with other technical analysis tools
Proper risk management is essential when trading
Backtest thoroughly before implementing in live trading
Market conditions can change rapidly, affecting indicator performance
Disclaimer ⚠️
Past performance is not indicative of future results. Trading involves substantial risk of loss and is not suitable for all investors. The information provided by this indicator should not be considered as financial advice. Always conduct your own research.
No indicator guarantees profitable trades - Always use proper risk management! 🛡️
Kijun Shifting Band Oscillator | QuantMAC🎯 Kijun Shifting Band Oscillator | QuantMAC
📊 **Revolutionary Technical Analysis Tool Combining Ancient Ichimoku Wisdom with Cutting-Edge Statistical Methods**
🌟 Overview
The Kijun Shifting Band Oscillator represents a sophisticated fusion of traditional Japanese technical analysis and modern statistical theory. Built upon the foundational concepts of the Ichimoku Kinko Hyo system, this indicator transforms the classic Kijun-sen (base line) into a dynamic, multi-dimensional analysis tool that provides traders with unprecedented market insights.
This advanced oscillator doesn't just show you where price has been – it reveals the underlying momentum dynamics and volatility patterns that drive market movements, giving you a statistical edge in your trading decisions.
🔥 Key Features & Innovations
Dual Trading Modes for Maximum Flexibility: 🚀
Long/Short Mode: Full bidirectional trading capability for aggressive traders seeking to capitalize on both bullish and bearish market conditions
Long/Cash Mode: Conservative approach perfect for risk-averse traders, taking long positions during uptrends and moving to cash during downtrends (avoiding short exposure)
Advanced Visual Intelligence: 🎨
9 Professional Color Schemes: From classic blue/navy to vibrant orange/purple combinations, each optimized for different chart backgrounds and personal preferences
Dynamic Gradient Histogram: Color intensity reflects oscillator strength, providing instant visual feedback on momentum magnitude
Intelligent Overlay Bands: Semi-transparent fills create clear visual boundaries without cluttering your chart
Smart Candle Coloring: Real-time color changes reflect current market state and trend direction
Customizable Threshold Lines: Clearly marked entry and exit levels with contrasting colors
Professional-Grade Analytics: 📊
Real-Time Performance Metrics: Live calculation of 9 key performance indicators
Risk-Adjusted Returns: Sharpe, Sortino, and Omega ratios for comprehensive performance evaluation
Position Sizing Guidance: Half-Kelly percentage for optimal risk management
Drawdown Analysis: Maximum drawdown tracking for risk assessment
📈 Deep Technical Foundation
Kijun-Based Mathematical Framework: 🧮
The indicator begins with the traditional Kijun-sen calculation but extends it significantly:
Statistical Enhancements: 📉
Adaptive Volatility: Bands expand and contract based on market volatility
Momentum Filtering: EMA smoothing of oscillator for trend confirmation
State Management: Intelligent signal filtering prevents whipsaws and false signals
Multi-Timeframe Compatibility: Optimized algorithms work across all timeframes
⚙️ Comprehensive Parameter Control
Kijun Core Settings: 🎛️
Kijun Length (Default: 30): Controls the lookback period for the base calculation. Shorter periods = more responsive, longer periods = smoother signals
Source Selection: Choose from Close, Open, High, Low, or HL2. Close price recommended for most applications
Calculation Method: Uses traditional Ichimoku methodology ensuring compatibility with classic analysis
Advanced Oscillator Configuration: 📊
Standard Deviation Length (Default: 36): Determines volatility measurement period. Affects band width and sensitivity
SD Multiplier (Default: 2.1): Fine-tune band distance from basis line. Higher values = wider bands, lower values = tighter bands
Oscillator Multiplier (Default: 100): Scales the final oscillator output. Useful for matching other indicators or personal preference
Smoothing Algorithm: Built-in EMA smoothing prevents noise while maintaining responsiveness
Signal Threshold Optimization: 🎯
Long Threshold (Default: 83): Oscillator level that triggers long entries. Higher values = fewer but stronger signals
Short Threshold (Default: 42): Oscillator level that triggers short entries. Lower values = fewer but stronger signals
Threshold Logic: Crossover-based system with state management prevents signal overlap
Customization Range: Fully adjustable to match your trading style and risk tolerance
Precision Date Control: 📅
Start Date/Month/Year: Precise backtesting control down to the day
Historical Analysis: Test strategies on specific market periods or events
Strategy Validation: Isolate performance during different market conditions
📊 Professional Metrics Dashboard
Risk Assessment Metrics: 💼
Maximum Drawdown %: Largest peak-to-trough decline in portfolio value. Critical for understanding worst-case scenarios and position sizing
Sortino Ratio: Risk-adjusted return measure focusing only on downside volatility. Superior to Sharpe ratio for asymmetric return distributions
Sharpe Ratio: Classic risk-adjusted performance metric. Values above 1.0 considered good, above 2.0 excellent
Omega Ratio: Probability-weighted ratio capturing all moments of return distribution. More comprehensive than Sharpe or Sortino
Performance Analytics: 📈
Profit Factor: Gross Profit ÷ Gross Loss. Values above 1.0 indicate profitability, above 2.0 considered excellent
Win Rate %: Percentage of profitable trades. Consider alongside average win/loss size for complete picture
Net Profit %: Total return on initial capital. Accounts for compounding effects
Total Trades: Sample size for statistical significance assessment
Advanced Position Sizing: 🎯
Half Kelly %: Optimal position size based on Kelly Criterion, reduced by 50% for safety margin
Risk Management: Helps determine appropriate position size relative to account equity
Mathematical Foundation: Based on win probability and profit factor calculations
Practical Application: Directly usable percentage for position sizing decisions
🎨 Advanced Display Options
Flexible Interface Design: 🖥️
6 Positioning Options: Top/Bottom/Middle × Left/Right combinations for optimal chart organization
Toggle Functionality: Show/hide metrics table for clean chart presentation during analysis
Color Coordination: Metrics table colors match selected oscillator color scheme
Professional Styling: Clean, readable format with proper spacing and alignment
Visual Hierarchy: 🎭
Oscillator Histogram: Primary focus with gradient intensity showing momentum strength
Threshold Lines: Clear horizontal references for entry/exit levels
Zero Line: Neutral reference point for trend bias determination
Background Bands: Subtle overlay context without chart clutter
🚀 Advanced Signal Generation System
Multi-Layer Signal Logic: ⚡
Primary Signal Generation: Oscillator crossover above Long Threshold (default 83) triggers long entries
Exit Signal Processing: Oscillator crossunder below Short Threshold (default 42) triggers position exits
State Management System: Prevents duplicate signals and ensures clean position transitions
Mode-Specific Logic: Different behavior for Long/Short vs Long/Cash modes
Date Range Filtering: Signals only generated within specified backtesting period
Confirmation Requirements: Bar confirmation prevents false signals from intrabar price spikes
Intelligent Position Management: 🧠
Entry Tracking: Precise entry price recording for accurate P&L calculations
Position State Monitoring: Continuous tracking of long/short/cash positions
Automatic Exit Logic: Seamless position closure and new position initiation
Performance Calculation: Real-time P&L tracking with compounding effects
📉📈 Comprehensive Band Interpretation Guide
Dynamic Band Analysis: 🔍
Upper Band Function: Represents dynamic resistance based on recent volatility. Price approaching upper band suggests potential reversal or breakout
Lower Band Function: Represents dynamic support with volatility adjustment. Price near lower band indicates oversold conditions or support testing
Middle Line (Basis): Trend direction indicator. Price above = bullish bias, price below = bearish bias
Band Width Interpretation: Wide bands = high volatility, narrow bands = low volatility/potential breakout setup
Band Slope Analysis: Rising bands = strengthening trend, falling bands = weakening trend
Oscillator Interpretation: 📊
Values Above 50: Price in upper half of recent range, bullish momentum
Values Below 50: Price in lower half of recent range, bearish momentum
Extreme Values (>80 or <20): Overbought/oversold conditions, potential reversal zones
Momentum Divergence: Oscillator direction vs price direction for early reversal signals
Trend Confirmation: Oscillator direction confirming or contradicting price trends
💡 Strategic Trading Applications
Primary Trading Strategies: 🎯
Trend Following: Use threshold crossovers to capture major directional moves. Best in trending markets with clear directional bias
Mean Reversion: Identify extreme oscillator readings for counter-trend opportunities. Effective in range-bound markets
Breakout Trading: Monitor band compressions followed by expansions for breakout signals
Swing Trading: Combine oscillator signals with band interactions for swing position entries/exits
Risk Management: Use metrics dashboard for position sizing and risk assessment
Market Condition Optimization: 🌊
Trending Markets: Increase threshold separation for fewer, stronger signals
Choppy Markets: Decrease threshold separation for more responsive signals
High Volatility: Increase SD multiplier for wider bands
Low Volatility: Decrease SD multiplier for tighter bands and earlier signals
⚙️ Advanced Configuration Tips
Parameter Optimization Guidelines: 🔧
Kijun Length Adjustment: Shorter periods (10-20) for faster signals, longer periods (50-100) for smoother trends
SD Length Tuning: Match to your trading timeframe - shorter for responsive, longer for stability
Threshold Calibration: Backtest different levels to find optimal entry/exit points for your market
Color Scheme Selection: Choose schemes that provide best contrast with your chart background and other indicators
Integration with Other Indicators: 🔗
Volume Indicators: Confirm oscillator signals with volume spikes
Support/Resistance: Use key levels to filter oscillator signals
Momentum Indicators: RSI, MACD confirmation for signal strength
Trend Indicators: Moving averages for overall trend bias confirmation
⚠️ Important Usage Notes & Limitations
Indicator Characteristics: ⚡
Lagging Nature: Based on historical price data - signals occur after moves have begun
Best Practice: Combine with leading indicators and price action analysis
Market Dependency: Performance varies across different market conditions and instruments
Backtesting Essential: Always validate parameters on historical data before live implementation
Optimization Recommendations: 🎯
Parameter Testing: Systematically test different combinations on your preferred instruments
Walk-Forward Analysis: Regularly re-optimize parameters to maintain effectiveness
Market Regime Awareness: Adjust parameters for different market conditions (trending vs ranging)
Risk Controls: Implement maximum drawdown limits and position size controls
🔧 Technical Specifications
Performance Optimization: ⚡
Efficient Algorithms: Optimized calculations for smooth real-time operation
Memory Management: Smart array handling for metrics calculations
Visual Optimization: Balanced detail vs performance for responsive charts
Multi-Symbol Ready: Consistent performance across different assets
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The Kijun Shifting Band Oscillator represents the evolution of technical analysis, bridging the gap between traditional methods and modern quantitative approaches. This indicator provides traders with a comprehensive toolkit for market analysis, combining the intuitive wisdom of Japanese candlestick analysis with the precision of statistical mathematics.
🎯 Designed for serious traders who demand professional-grade analysis tools with institutional-quality metrics and risk management capabilities. Whether you're a discretionary trader seeking visual confirmation or a systematic trader building quantitative strategies, this indicator provides the foundation for informed trading decisions.
⚠️ IMPORTANT DISCLAIMER
Past Performance Warning: 📉⚠️
PAST PERFORMANCE IS NOT INDICATIVE OF FUTURE RESULTS. Historical backtesting results, while useful for strategy development and parameter optimization, do not guarantee similar performance in live trading conditions. Market conditions change continuously, and what worked in the past may not work in the future.
Remember: Successful trading requires discipline, continuous learning, and adaptation to changing market conditions. No indicator or strategy guarantees profits, and all trading involves substantial risk of loss.
LotSize CalculatorLotSize Calculator Documentation
Overview
The LotSize Calculator is a powerful TradingView indicator designed to help traders calculate optimal position sizes based on risk management principles. It provides a visual representation of trade setups, including entry points, stop losses, and take profits, while calculating the appropriate lot size based on your risk preferences.
Key Features
Automatic lot size calculation based on risk amount
Support for multiple asset classes (forex, commodities, indices, etc.)
Visual R-multiple levels (1R to 5R)
Real-time position tracking with drawdown and run-up statistics
Customizable visual elements and display options
Input Parameters
Risk Management Settings
Risk Amount Type: Choose between risking a fixed amount in dollars ($) or a specific lot size.
Risk Amount: The amount you want to risk on the trade (in dollars if Risk Amount Type is set to $, or in lots if set to Lots).
Overwrite TP: Optional setting to automatically set take profit at a specific R-multiple (1R, 2R, 3R, 4R, or 5R).
Table Comments: Optional field to add personal notes to the position table.
Trade Setup Levels
Trigger Price: The price at which your trade will be entered.
Stop Loss: Your predetermined exit price to limit losses.
Take Profit: Your target price to secure profits.
Time Of Setup Start Bar: The starting time for your trade setup window.
Display Settings
Plot Position Labels: Toggle to show/hide position information labels on the chart.
Plot Position Table: Toggle to show/hide the position information table.
Show Money: Toggle to display monetary values ($) in the labels and table.
Show Points: Toggle to display point values in the labels and table.
Show Ticks: Toggle to display tick values in the labels and table.
Visual Appearance
Entry Color: Color for entry level line and labels.
Take Profit Color: Color for take profit level line and labels.
Stop Loss Color: Color for stop loss level line and labels.
Label Text Color: Color for text in the position labels.
Table Background: Background color for the position information table.
Table Text: Text color for the position information table.
R Labels: Color for the R-multiple level labels.
Table Position: Position of the information table on the chart (options: Bottom Right, Bottom Left, Bottom Middle, Top Right, Top Middle).
How to Use
Basic Setup
Set your entry price in the "Trigger Price" field.
Set your stop loss level in the "Stop Loss" field.
Set your take profit level in the "Take Profit" field.
Choose your risk amount type ($ or Lots) and enter the risk amount.
Optionally, select an R-multiple for automatic take profit calculation.
Understanding the Display
The indicator will show:
Horizontal lines for entry, stop loss, and take profit levels
Colored zones between entry and take profit (potential profit zone) and between entry and stop loss (potential loss zone)
R-multiple levels based on your risk (1R, 2R, 3R, 4R, 5R)
A table displaying:
Position type (long/short) and size
Original risk and reward figures
Maximum run-up and drawdown during the trade
Trade Monitoring
Once a trade is triggered (either by price crossing a stop entry or reaching a limit entry), the indicator tracks:
Current position value
Maximum run-up (highest profit seen)
Maximum drawdown (largest loss seen)
Trade outcome when take profit or stop loss is hit
Advanced Features
Asset Type Detection
The LotSize Calculator automatically detects the type of asset being traded (forex, commodity, index, etc.) and adjusts calculations accordingly to ensure accurate position sizing.
R-Multiple Visualization
R-multiples help visualize potential reward relative to risk. For example, 2R means the potential reward is twice the amount risked. The indicator displays these levels directly on your chart for easy reference.
Adaptive Position Labels
Position labels adjust their display based on trade direction (long or short) and include relevant information about risk, reward, and current position status.
Best Practices
Always confirm your risk is appropriate for your account size (typically 1-2% of account per trade).
Use the R-multiple visualization to ensure your trades offer favorable risk-to-reward ratios.
The indicator works best when used alongside your existing strategy for entry and exit signals.
Customize the visual appearance to match your chart theme for better visibility.
Troubleshooting
If position calculations seem incorrect, verify that the indicator is detecting the correct instrument type.
For forex pairs, ensure your broker's lot size conventions match those used by the indicator.
The indicator may need adjustment for certain exotic instruments or markets with unusual tick sizes.
Stochastic RSI with MTF TableShort Description of the Script
The provided Pine Script indicator, titled "Stochastic RSI with MTF Table," calculates and displays the Stochastic RSI for the current timeframe and multiple other timeframes (5m, 15m, 30m, 60m, 240m, and daily). The Stochastic RSI is a momentum indicator that blends the Relative Strength Index (RSI) and Stochastic Oscillator to identify overbought and oversold conditions, as well as potential trend reversals via K and D line crossovers.
Key features of the script include:
Inputs: Customizable parameters such as K smoothing (default 3), D smoothing (default 3), RSI length (default 14), Stochastic length (default 14), source price (default close), and overbought/oversold levels (default 80/20).
MTF Table: A table displays the Stochastic RSI status for each timeframe:
"OB" (overbought) if K > 80, "OS" (oversold) if K < 20, or "N" (neutral) otherwise.
Crossovers: "K↑D" for bullish (K crosses above D) and "K↓D" for bearish (K crosses below D).
Visualization: Plots the K and D lines for the current timeframe, with horizontal lines at 80 (overbought), 50 (middle), and 20 (oversold), plus a background fill for clarity.
Table Position: Configurable to appear in one of four chart corners (default: top-right).
This indicator helps traders assess momentum across multiple timeframes simultaneously, aiding in the identification of trend strength and potential entry/exit points.
Trading Strategy with 50EMA and 200EMA for Highest Winning Rate
To create a strategy with the best probability of a high winning rate using the Stochastic RSI MTF indicator alongside the 50-period Exponential Moving Average (50EMA) and 200-period Exponential Moving Average (200EMA), we can combine trend identification with momentum-based entry timing. The 50EMA and 200EMA are widely used to determine medium- and long-term trends, while the Stochastic RSI MTF table provides multi-timeframe momentum signals. Here’s the strategy:
1. Determine the Overall Trend
Bullish Trend: The 50EMA is above the 200EMA on the current timeframe (e.g., daily or 60m chart). This suggests an uptrend, often associated with a "Golden Cross."
Bearish Trend: The 50EMA is below the 200EMA on the current timeframe. This indicates a downtrend, often linked to a "Death Cross."
Implementation: Plot the 50EMA and 200EMA on your chart and visually confirm their relative positions.
2. Identify Entry Signals Using the Stochastic RSI MTF Table
In a Bullish Trend (50EMA > 200EMA):
Look for timeframes in the MTF table showing:
Oversold (OS): K < 20, indicating a potential pullback in the uptrend where price may rebound.
Bullish Crossover (K↑D): K crosses above D, signaling rising momentum and a potential entry point.
Example: If the 60m and 240m timeframes show "OS" or "K↑D," this could be a buy signal.
In a Bearish Trend (50EMA < 200EMA):
Look for timeframes in the MTF table showing:
Overbought (OB): K > 80, suggesting a rally in the downtrend where price may reverse downward.
Bearish Crossover (K↓D): K crosses below D, indicating declining momentum and a potential short entry.
Example: If the 30m and daily timeframes show "OB" or "K↓D," this could be a sell/short signal.
Current Timeframe Check: Use the plotted K and D lines on your trading timeframe for precise entry timing (e.g., confirm a K↑D crossover on a 60m chart for a long trade).
3. Confirm Signals Across Multiple Timeframes
Strengthen the Signal: A higher winning rate is more likely when multiple timeframes align with the trend and signal. For instance:
Bullish trend + "OS" or "K↑D" on 60m, 240m, and daily = strong buy signal.
Bearish trend + "OB" or "K↓D" on 15m, 60m, and 240m = strong sell signal.
Prioritize Higher Timeframes: Signals from the 240m or daily timeframe carry more weight due to their indication of broader trends, increasing reliability.
4. Set Stop-Loss and Take-Profit Levels
Long Trades (Bullish):
Stop-Loss: Place below the most recent swing low or below the 50EMA, whichever is closer, to protect against trend reversals.
Take-Profit: Target a key resistance level or use a risk-reward ratio (e.g., 2:1 or 3:1) based on the stop-loss distance.
Short Trades (Bearish):
Stop-Loss: Place above the most recent swing high or above the 50EMA, whichever is closer.
Take-Profit: Target a key support level or apply a similar risk-reward ratio.
Trailing Stop Option: As the trend progresses, trail the stop below the 50EMA (for longs) or above it (for shorts) to lock in profits.
5. Risk Management
Position Sizing: Risk no more than 1-2% of your trading capital per trade to minimize losses from false signals.
Volatility Consideration: Adjust stop-loss distances and position sizes based on the asset’s volatility (e.g., wider stops for volatile stocks or crypto).
Avoid Overtrading: Wait for clear alignment between the EMA trend and MTF signals to avoid low-probability setups.
Example Scenario
Chart: 60-minute timeframe.
Trend: 50EMA > 200EMA (bullish).
MTF Table: 60m shows "OS," 240m shows "K↑D," and daily is "N."
Action: Enter a long position when the 60m K line crosses above D, confirming the table signal.
Stop-Loss: Below the recent 60m swing low (e.g., 2% below entry).
Take-Profit: At the next resistance level or a 3:1 reward-to-risk ratio.
Outcome: High probability of success due to trend alignment and multi-timeframe confirmation.
Why This Strategy Works
Trend Following: Trading in the direction of the 50EMA/200EMA trend reduces the risk of fighting the market’s momentum.
Momentum Timing: The Stochastic RSI MTF table pinpoints pullbacks or reversals within the trend, improving entry timing.
Multi-Timeframe Confirmation: Alignment across timeframes filters out noise, increasing the win rate.
Risk Control: Defined stop-loss and position sizing protect against inevitable losses.
Caveats
No strategy guarantees a 100% win rate; false signals can occur, especially in choppy markets.
Test this strategy on historical data or a demo account to verify its effectiveness for your asset and timeframe.
This approach leverages the strengths of both trend-following (EMA) and momentum (Stochastic RSI) tools, aiming for a high-probability, disciplined trading system.
Step-Based Trailing Stop-Loss IndicatorThis indicator is built for momentum traders who want to maximize winning trades and minimize losses through a smart, step-based trailing stop-loss system. Instead of using a fixed Take Profit, this tool dynamically protects profits once the trade reaches a favorable RR (Risk-to-Reward) level.
How It Works:
Manual Entry Input
You enter your Entry Price and select Buy/Sell in the settings.
This flexibility allows backtesting or live trade tracking.
Initial Setup
Default SL: 50 ticks(Tested on us30,but works on any pair you just need to adjust SL)
TP for reference: 4R — can be used for benchmarking, but we don't limit profits with a hard TP.
Trailing Logic
Once price reaches 3R in profit:
The SL begins trailing.
It starts at 2R, keeping a 1R cushion behind the max profit.
For every 0.5R gain, SL also moves up by 0.5R:
Example: At 3.5R → SL is at 2.5R
At 5.0R → SL is at 4.0R
This trailing continues until the SL is hit or the trend exhausts.
Chart Features
🟧 Entry Line
🔴 Initial SL
🟢 Reference TP (4R, optional)
🟣 Dynamic Trailing SL
🏷️ Labels for Entry & SL levels
Guntavnook Katta - Fair Value PROOverview:
This script is designed to help long-term investors estimate the fair value of a stock using a combination of fundamental financial metrics and a proprietary multi-factor scoring model. It is especially useful for those who wish to assess whether a stock is undervalued or overvalued based on key fundamentals and recent price behavior.
This script is suitable for stocks, and is best applied on the Daily timeframe.
Purpose:
Many investors rely on Price-to-Earnings (PE) ratios, but not all businesses deserve the same PE due to differences in quality, growth visibility, brand strength, and financial health. This tool attempts to automate the estimation of a fair PE ratio for each company, based on key qualitative and quantitative metrics.
Core Logic:
The script takes the EPS (Earnings Per Share) for the recent financial year from TradingView’s built-in fundamental database and multiplies it by a calculated ideal PE ratio, derived from scoring logic applied to the following parameters:
Financial Parameters Considered:
ROCE (Return on Capital Employed): Indicates how efficiently a company is using its capital to generate profits. Higher ROCE generally reflects strong capital allocation.
ROE (Return on Equity): Shows how effectively the company uses shareholders’ equity. A high ROE may imply strong profitability.
Dividend Yield: Companies that share profits with shareholders via dividends are generally viewed favorably, especially if the yield is sustainable.
Promoter Holding: Higher promoter holding reflects confidence of the founders or promoters in the business. Companies with very low promoter holding might raise governance concerns.
Debt to Equity Ratio: Measures financial risk. Companies with low debt are generally safer, except for banks and NBFCs where high debt is normal.
Sales Growth (5 Years): Reflects business expansion. Consistent growth signals strong demand and operational scalability.
Profit Growth (5 Years): Indicates the company’s ability to grow net earnings over time. High profit growth with low sales growth can sometimes indicate improved margins.
Brand Value: Users can assign qualitative ratings to the company's brand strength, which significantly affects valuation.
Professional Management: If promoter holding is 0%, the company may be professionally or institutionally managed, which adds value in many sectors.
Special Edge: A user-defined optional scoring input for businesses with a strong moat, monopoly, or hard-to-replicate model.
Each of these parameters contributes positively or negatively to the Ideal PE score, which is then used to compute the Fair Value = EPS × Ideal PE.
Why This Scoring Approach?
In fast-moving and diverse market environments, the concept of fair value cannot be treated as a one-size-fits-all number. Traditional valuation models often apply a static PE ratio across stocks, overlooking the individual nuances that define each business. However, real-world investing calls for a more contextual approach—one that acknowledges the dynamic nature of companies, sectors, and economic cycles.
This script attempts to address that gap by offering a systematic way to estimate the fair price of a stock, based on both qualitative and quantitative parameters. The scoring logic is derived from concepts and patterns observed in popular books on fundamental investing and valuation. It encapsulates capital efficiency, ownership structure, growth performance, and brand power—all of which influence a company’s ability to command a premium valuation. The goal is not to suggest decisions but to enable custom, data-supported valuation assessments.
User Instructions:
Apply the script to a stock chart using Daily timeframe.
Open the indicator Settings Panel.
Choose either:
Auto-calculated PE: Let the script determine Ideal PE from scoring inputs.
Manual PE: If you're confident in the fair PE value, input it directly.
Hover over (i) icons in settings for explanation of each input.
Most inputs like ROE, ROCE, D/E ratio, etc., can be found from official filings, annual reports, or financial platforms.
Overbought & Oversold Signals:
This script also provides technical signals based on price deviation from fair value:
Uses RSI-based crossover logic in combination with user-defined price deviation thresholds.
Users can enable/disable signals independently.
Thresholds define how far above/below fair value the stock should move before a signal is triggered.
For example:
If the price moves above the fair value by a percentage equal to or greater than the Overbought threshold set by the user and the RSI crosses below 70, a red Overbought label appears.
If the price drops below the fair value by a percentage equal to or greater than the Oversold threshold set by the user and the RSI crosses above 30, a green Oversold label appears.
You can use the average deviation values displayed in the info table to determine suitable threshold levels based on historical price behavior.
Why RSI?
The Relative Strength Index (RSI) is a widely accepted momentum indicator used to assess whether a stock is overbought or oversold based on recent price performance. In this script, RSI serves as a reliable trigger mechanism when combined with fair value deviations. While the fair value estimation captures long-term fundamentals, RSI helps identify short-term extremes in price action. By using RSI crossovers, the script ensures signals are technically validated and not triggered solely by deviation, thus improving accuracy.
Visual Aids:
The green line shows the calculated Fair Value.
Candle colors:
Red: RSI ≥ 70
Green: RSI ≤ 30
Yellow: Neutral zone
An info table at the top-right displays:
Ideal PE
Current PE (based on FY EPS)
Calculated Fair Value
Avg Upper and Lower Price Deviation % from Fair Value
Note:
This tool is primarily optimized for evaluating Indian stocks, especially those listed on NSE/BSE, where metrics like promoter holding and ROCE are commonly used.
Disclaimer:
This script is intended for educational and research purposes only. It is not investment advice. The logic is based on publicly available data and scoring heuristics designed for learning and valuation awareness.
Momentum Volume Divergence (MVD) EnhancedMomentum Volume Divergence (MVD) Enhanced is a powerful indicator that detects price-momentum divergences and momentum suppression for reversal trading. Optimized for XRP on 1D charts, it features dynamic lookbacks, ATR-adjusted thresholds, and SMA confirmation. Signals include strong divergences (triangles) and suppression warnings (crosses). Includes a detailed user guide—try it out and share your feedback!
Setup: Add to XRP 1D chart with defaults (mom_length_base=8, vol_length_base=10). Signals: Red triangle (sell), Green triangle (buy), Orange cross (bear warning), Yellow cross (bull warning). Confirm with 5-day SMA crossovers. See full guide for details!
Disclaimer: This indicator is for educational purposes only, not financial advice. Trading involves risk—use at your discretion.
Momentum Volume Divergence (MVD) Enhanced Indicator User Guide
Version: Pine Script v6
Designed for: TradingView
Recommended Use: XRP on 1-day (1D) chart
Date: March 18, 2025
Author: Herschel with assistance from Grok 3 (xAI)
Overview
The Momentum Volume Divergence (MVD) Enhanced indicator is a powerful tool for identifying price-momentum divergences and momentum suppression patterns on XRP’s 1-day (1D) chart. Plotted below the price chart, it provides clear visual signals to help traders spot potential reversals and trend shifts.
Purpose
Detect divergences between price and momentum for buy/sell opportunities.
Highlight momentum suppression as warnings of fading trends.
Offer actionable trading signals with intuitive markers.
Indicator Components
Main Plot
Volume-Weighted Momentum (vw_mom): Blue line showing momentum adjusted by volume.
Above 0 = bullish momentum.
Below 0 = bearish momentum.
Zero Line: Gray dashed line at 0, separating bullish/bearish zones.
Key Signals
Strong Bearish Divergence:
Marker: Red triangle at the top.
Meaning: Price makes a higher high, but momentum weakens, confirmed by a drop below the 5-day SMA.
Action: Potential sell/short signal.
Strong Bullish Divergence:
Marker: Green triangle at the bottom.
Meaning: Price makes a lower low, but momentum strengthens, confirmed by a rise above the 5-day SMA.
Action: Potential buy/long signal.
Bearish Suppression:
Marker: Orange cross at the top + red background.
Meaning: Strong bullish momentum with low volume in a volume downtrend, suggesting fading strength.
Action: Warning to avoid longs or exit early.
Bullish Suppression:
Marker: Yellow cross at the bottom + green background.
Meaning: Strong bearish momentum with low volume in a volume uptrend, suggesting fading weakness.
Action: Warning to avoid shorts or exit early.
Debug Plots (Optional)
Volume Ratio: Gray line (volume vs. its MA) vs. yellow line (threshold).
Momentum Threshold: Purple lines (positive/negative momentum cutoffs).
Smoothed Momentum: Orange line (raw momentum).
Confirmation SMA: Purple line (price trend confirmation).
Labels
Text labels (e.g., "Bear Div," "Bull Supp") mark detected patterns.
How to Use the Indicator
Step-by-Step Trading Process
1. Monitor the Chart
Load your XRP 1D chart with the indicator applied.
Observe the blue vw_mom line and signal markers.
2. Spot a Signal
Primary Signals: Look for red triangles (strong_bear) or green triangles (strong_bull).
Warnings: Note orange crosses (suppression_bear) or yellow crosses (suppression_bull).
3. Confirm the Signal
For Strong Bullish Divergence (Buy):
Green triangle appears.
Price closes above the 5-day SMA (purple line) and a recent swing high.
Optional: Volume ratio (gray line) exceeds the threshold (yellow line).
For Strong Bearish Divergence (Sell):
Red triangle appears.
Price closes below the 5-day SMA and a recent swing low.
Optional: Volume ratio (gray line) falls below the threshold (yellow line).
4. Enter the Trade
Long:
Buy at the close of the signal bar.
Stop loss: Below the recent swing low or 2 × ATR(14) below entry.
Short:
Sell/short at the close of the signal bar.
Stop loss: Above the recent swing high or 2 × ATR(14) above entry.
5. Manage the Trade
Take Profit:
Aim for a 2:1 or 3:1 risk-reward ratio (e.g., risk $0.05, target $0.10-$0.15).
Or exit when an opposite suppression signal appears (e.g., orange cross for longs).
Trailing Stop:
Move stop to breakeven after a 1:1 RR move.
Trail using the 5-day SMA or 2 × ATR(14).
Early Exit:
Exit if a suppression signal appears against your position (e.g., suppression_bull while short).
6. Filter Out Noise
Avoid trades if a suppression signal precedes a divergence within 2-3 days.
Optional: Add a 50-day SMA on the price chart:
Longs only if price > 50-SMA.
Shorts only if price < 50-SMA.
Example Trades (XRP 1D)
Bullish Trade
Signal: Green triangle (strong_bull) at $0.55.
Confirmation: Price closes above 5-SMA and $0.57 high.
Entry: Buy at $0.58.
Stop Loss: $0.53 (recent low).
Take Profit: $0.63 (2:1 RR) or exit on suppression_bear.
Outcome: Price hits $0.64, exit at $0.63 for profit.
Bearish Trade
Signal: Red triangle (strong_bear) at $0.70.
Confirmation: Price closes below 5-SMA and $0.68 low.
Entry: Short at $0.67.
Stop Loss: $0.71 (recent high).
Take Profit: $0.62 (2:1 RR) or exit on suppression_bull.
Outcome: Price drops to $0.61, exit at $0.62 for profit.
Tips for Success
Combine with Price Levels:
Use support/resistance zones (e.g., weekly pivots) to confirm entries.
Monitor Volume:
Rising volume (gray line above yellow) strengthens signals.
Adjust Sensitivity:
Too many signals? Increase div_strength_threshold to 0.7.
Too few signals? Decrease to 0.3.
Backtest:
Review 20-30 past signals on XRP 1D to assess performance.
Avoid Choppy Markets:
Skip signals during low volatility (tight price ranges).
Troubleshooting
No Signals:
Lower div_strength_threshold to 0.3 or mom_threshold_base to 0.2.
Check if XRP’s volatility is unusually low.
False Signals:
Increase sma_confirm_length to 7 or add a 50-SMA filter.
Indicator Not Loading:
Ensure the script compiles without errors.
Customization (Optional)
Change Colors: Edit color.* values (e.g., color.red to color.purple).
Add Alerts: Use TradingView’s alert menu for "Strong Bearish Divergence Confirmed," etc.
Test Other Assets: Experiment with BTC or ETH, adjusting inputs as needed.
Disclaimer
This indicator is for educational purposes only and not financial advice. Trading involves risk, and past performance does not guarantee future results. Use at your own discretion.
Setup: Use on XRP 1D with defaults (mom_length_base=8, vol_length_base=10). Signals: Red triangle (sell), Green triangle (buy), Orange cross (bear warning), Yellow cross (bull warning). Confirm with 5-day SMA cross. Stop: 2x ATR(14). Profit: 2:1 RR or suppression exit. Full guide available separately!
AO Smart Scalper – 5M Dynamic SL Edition📈 AO Signals with Fixed and Dynamic SL – Optimized for 5-Minute Charts 📉
This indicator is built for 5-minute timeframe trading, combining powerful momentum signals from the Awesome Oscillator (AO) with both Fixed and Dynamic Stop Loss (SL) levels to enhance trade management and risk control.
✅ Buy/Sell Signals:
The indicator generates clear BUY and SELL signals based on the AO crossing above or below the zero line, helping traders capture momentum shifts early.
🛑 Fixed Stop Loss:
Each trade signal comes with a Fixed SL, calculated based on the high (for shorts) or low (for longs) of the previous candle, with a customizable percentage offset. This SL is plotted with a red line, providing a clear initial risk level.
⚡ Dynamic Stop Loss: Continuous Presence, Strategic Use:
A secondary Dynamic SL line is plotted, which is continuously present on the chart. This dynamic level responds to market conditions and can serve as a trailing stop or key decision point.
💡 Recommended Use: It is recommended to actively start using the Dynamic SL once the trade has moved into profit. This allows protecting obtained profits and minimizing the risk of losses in case of a market reversal.
🛡️ Enhanced Dynamic Stop-Loss Strategy:
🔒 Initial Protection: Utilize the Fixed SL as the initial stop-loss, placed below relevant lows (for longs) or above relevant highs (for shorts), or as provided by the fixed SL indicator.
🛤️ Dynamic Tracking:
🟢 Long Trades: Once in profit, the Dynamic SL will dynamically adjust, moving upwards as higher lows are formed, effectively trailing the price and securing profits.
🔴 Short Trades: Conversely, in short trades, once in profit, the Dynamic SL will move downwards as lower highs are formed, protecting gains.
🔄 Alternatively the dynamic stop loss will follow the dynamic SL line provided by the indicator.
🚪 Exiting Trades: When the price crosses below the Dynamic SL line in a LONG trade, or above it in a SHORT trade, the recommended action is to exit the trade.
↩️ Re-entry Consideration: You may consider re-entering only if the price clearly returns above the Dynamic SL (for longs) or below it (for shorts).
⚠️ IMPORTANT - 5-Minute Strategy Guidance ⏱️
This tool is specifically optimized for the 5-minute timeframe. This approach helps filter out weak setups and maintain discipline in volatile market conditions.
✨ Additional Features:
👁️ Visual and editable SL levels
📊 200-period SMA for trend context
💻 Simple and effective interface for intraday trading setups
🎯 Ideal for traders seeking a clean, rule-based system that combines momentum entry signals with layered stop loss protection.
🔑 Key Changes:
It was emphasized that the Dynamic SL is always present, but its active use is recommended once the trade is in profit.
It was clarified the use of the Fixed SL, giving the option to use the one provided by the indicator, or to place it according to the price action.
Mile Runner - Swing Trade LONGMile Runner - Swing Trade LONG Indicator - By @jerolourenco
Overview
The Mile Runner - Swing Trade LONG indicator is designed for swing traders who focus on LONG positions in stocks, BDRs (Brazilian Depositary Receipts), and ETFs. It provides clear entry signals, stop loss, and take profit levels, helping traders identify optimal buying opportunities with a robust set of technical filters. The indicator is optimized for daily candlestick charts and combines multiple technical analysis tools to ensure high-probability trades.
Key Features
Entry Signals: Visualized as green triangles below the price bars, indicating a potential LONG entry.
Stop Loss and Take Profit Levels: Automatically plotted on the chart for easy reference.
Stop Loss: Based on the most recent pivot low (support level).
Take Profit: Calculated using a Fibonacci-based projection from the entry price to the stop loss.
Trend and Momentum Filters: Ensures trades align with the prevailing trend and have sufficient momentum.
Volume and Volatility Confirmation: Verifies market interest and price movement potential.
How It Works
The indicator uses a combination of technical tools to filter and confirm trade setups:
Exponential Moving Averages (EMAs):
A short EMA (default: 9 periods) and a long EMA (default: 21 periods) identify the trend.
A bullish crossover (EMA9 crosses above EMA21) signals a potential upward trend.
Money Flow Index (MFI):
Confirms buying pressure when MFI > 50.
Average True Range (ATR):
Ensures sufficient volatility by checking if ATR exceeds its 20-period moving average.
Volume:
Confirms market interest when volume exceeds its 20-period moving average.
Pivot Lows:
Identifies recent support levels (pivot lows) to set the stop loss.
Ensures the pivot low is recent (within the last 10 bars by default).
Additional Trend Filter:
Confirms the long EMA is rising, reinforcing the bullish trend.
Inputs and Customization
The indicator is highly customizable, allowing traders to tailor it to their strategies:
EMA Periods: Adjust the short and long EMA lengths.
ATR and MFI Periods: Modify lookback periods for volatility and momentum.
Pivot Lookback: Control the sensitivity of pivot low detection.
Fibonacci Level: Adjust the Fibonacci retracement level for take profit.
Take Profit Multiplier: Fine-tune the aggressiveness of the take profit target.
Max Pivot Age: Set the maximum bars since the last pivot low for relevance.
Usage Instructions
Apply the Indicator:
Add the "Mile Runner - Swing Trade LONG" indicator to your TradingView chart.
Best used on daily charts for swing trading.
Look for Entry Signals:
A green triangle below the price bar signals a potential LONG entry.
Set Stop Loss and Take Profit:
Stop Loss: Red dashed line indicating the stop loss level.
Take Profit: Purple dashed line showing the take profit level.
Monitor the Trade:
The entry price is marked with a green dashed line for reference.
Adjust trade management based on the plotted levels.
Set Alerts:
Use the built-in alert condition to get notified of new LONG entry signals.
Important Notes
For LONG Positions Only : Designed exclusively for swing trading LONG positions.
Timeframe: Optimized for daily charts but can be tested on other timeframes.
Asset Types: Works best with stocks, BDRs, and ETFs.
Risk Management: Always align stop loss and take profit levels with your risk tolerance.
Why Use Mile Runner?
The Mile Runner indicator simplifies swing trading by integrating trend, momentum, volume, and volatility filters into one user-friendly tool. It helps traders:
Identify high-probability entry points.
Establish clear stop loss and take profit levels.
Avoid low-volatility or low-volume markets.
Focus on assets with strong buying pressure and recent support.
By following its signals and levels, traders can make informed decisions and enhance their swing trading performance. Customize the inputs and test it on your favorite assets—happy trading!
Cash And Carry Arbitrage BTC Compare Month 6 by SeoNo1Detailed Explanation of the BTC Cash and Carry Arbitrage Script
Script Title: BTC Cash And Carry Arbitrage Month 6 by SeoNo1
Short Title: BTC C&C ABT Month 6
Version: Pine Script v5
Overlay: True (The indicators are plotted directly on the price chart)
Purpose of the Script
This script is designed to help traders analyze and track arbitrage opportunities between the spot market and futures market for Bitcoin (BTC). Specifically, it calculates the spread and Annual Percentage Yield (APY) from a cash-and-carry arbitrage strategy until a specific expiry date (in this case, June 27, 2025).
The strategy helps identify profitable opportunities when the futures price of BTC is higher than the spot price. Traders can then buy BTC in the spot market and short BTC futures contracts to lock in a risk-free profit.
1. Input Settings
Spot Symbol: The real-time BTC spot price from Binance (BTCUSDT).
Futures Symbol: The BTC futures contract that expires in June 2025 (BTCUSDM2025).
Expiry Date: The expiration date of the futures contract, set to June 27, 2025.
These inputs allow users to adjust the symbols or expiry date according to their trading needs.
2. Price Data Retrieval
Spot Price: Fetches the latest closing price of BTC from the spot market.
Futures Price: Fetches the latest closing price of BTC futures.
Spread: The difference between the futures price and the spot price (futures_price - spot_price).
The spread indicates how much higher (or lower) the futures price is compared to the spot market.
3. Time to Maturity (TTM) and Annual Percentage Yield (APY) Calculation
Current Date: Gets the current timestamp.
Time to Maturity (TTM): The number of days left until the futures contract expires.
APY Calculation:
Formula:
APY = ( Spread / Spot Price ) x ( 365 / TTM Days ) x 100
This represents the annualized return from holding a cash-and-carry arbitrage position if the trader buys BTC at the spot price and sells BTC futures.
4. Display Information Table on the Chart
A table is created on the chart's top-right corner showing the following data:
Metric: Labels such as Spread and APY
Value: Displays the calculated spread and APY
The table automatically updates at the latest bar to display the most recent data.
5. Alert Condition
This sets an alert condition that triggers every time the script runs.
In practice, users can modify this alert to trigger based on specific conditions (e.g., APY exceeds a threshold).
6. Plotting the APY and Spread
APY Plot: Displays the annualized yield as a blue line on the chart.
Spread Plot: Visualizes the futures-spot spread as a red line.
This helps traders quickly identify arbitrage opportunities when the spread or APY reaches desirable levels.
How to Use the Script
Monitor Arbitrage Opportunities:
A positive spread indicates a potential cash-and-carry arbitrage opportunity.
The larger the APY, the more profitable the arbitrage opportunity could be.
Timing Trades:
Execute a buy on the BTC spot market and simultaneously sell BTC futures when the APY is attractive.
Close both positions upon futures contract expiry to realize profits.
Risk Management:
Ensure you have sufficient margin to hold both positions until expiry.
Monitor funding rates and volatility, which could affect returns.
Conclusion
This script is an essential tool for traders looking to exploit price discrepancies between the BTC spot market and futures market through a cash-and-carry arbitrage strategy. It provides real-time data on spreads, annualized returns (APY), and visual alerts, helping traders make informed decisions and maximize their profit potential.
SL Hunting Detector📌 Step 1: Identify Liquidity Zones
The script plots high-liquidity zones (red) and low-liquidity zones (green).
These are areas where big players target stop-losses before reversing the price.
Example:
If price is near a red liquidity zone, expect a potential stop-loss hunt & reversal downward.
If price is near a green liquidity zone, expect a potential stop-loss hunt & reversal upward.
📌 Step 2: Watch for Stop-Loss Hunts (Fakeouts)
The indicator marks stop-loss hunts with red (bearish) or green (bullish) arrows.
When do stop-loss hunts occur?
✅ A long wick below support (with high volume) = Stop hunt before reversal upward.
✅ A long wick above resistance (with high volume) = Stop hunt before reversal downward.
Confirmation:
Volume must spike (volume > 1.5x the average volume).
ATR-based wicks must be longer than usual (showing a stop-hunt trap).
📌 Step 3: Enter a Trade After a Stop-Hunt
🔹 Bullish Trade (Buying a Dip)
If a green arrow appears (stop-hunt below support):
✅ Enter a long (buy) trade at or just above the wick’s recovery level.
✅ Stop-loss: Below the wick’s low (avoid getting hunted again).
✅ Take-profit: Next resistance level or mid-range of the liquidity zone.
🔹 Bearish Trade (Shorting a Fakeout)
If a red arrow appears (stop-hunt above resistance):
✅ Enter a short (sell) trade at or just below the wick’s rejection level.
✅ Stop-loss: Above the wick’s high (avoid getting stopped out).
✅ Take-profit: Next support level or mid-range of the liquidity zone.
📌 Step 4: Set Alerts & Automate
✅ The indicator triggers alerts when a stop-hunt is detected.
✅ You can set TradingView to notify you instantly when:
A bullish stop-hunt occurs → Look for long entry.
A bearish stop-hunt occurs → Look for short entry.
📌 Example Trade Setup
Example (BTC Long Trade on Stop-Hunt)
BTC is near $40,000 support (green liquidity zone).
A long wick drops to $39,800 with a green arrow (bullish stop-hunt signal).
Volume spikes, and price recovers quickly back above $40,000.
Trade entry: Buy at $40,050.
Stop-loss: Below wick ($39,700).
Take-profit: $41,500 (next resistance).
Result: BTC pumps, stop-loss remains safe, and trade profits.
🔥 Final Tips
Always wait for confirmation (don’t enter blindly on signals).
Use higher timeframes (15m, 1H, 4H) for better accuracy.
Combine with Order Flow tools (like Bookmap) to see real liquidity zones.
🚀 Now try it on TradingView! Let me know if you need adjustments. 📈🔥
Puell Multiple BTC | JeffreyTimmermansThe Puell Multiple is a metric that assesses the relationship between mining profitability and market cycles. It is calculated by comparing the daily value of newly issued coins (USD) to the 365-day moving average of daily coin issuance (USD).
This indicator works best on the 1D BTC Chart. When interpreting the Puell Multiple, it can generally be understood as follows:
High values indicate that miner profitability is significantly higher than the yearly average. This may lead to an increased incentive for miners to sell off their holdings, putting additional selling pressure on the market.
Low values suggest that miner profitability is lower than the yearly average. In this case, miners might experience financial strain, causing some to reduce their hash power by shutting down mining rigs. This, in turn, can reduce the number of coins being sold into the market, as remaining miners need to liquidate fewer coins to maintain operations, thereby decreasing the impact on the liquid supply.
The Puell Multiple is a metric used primarily in the cryptocurrency space, specifically for Bitcoin, to assess whether Bitcoin is overvalued or undervalued in relation to its mining rewards. It helps to gauge the profitability of miners and, by extension, to assess market conditions.
Use:
This Puell Multiple is invented for Long-Term, Trend Following Systems.
The Puell Multiple trend can be visualized through the color of the bars, which represents the direction of the trend, while the background indicates the strength of that trend.
Bar Color: The color of the bars typically changes to reflect whether the trend is bullish or bearish. For example, green bars may indicate a strong bullish trend, while red bars signal a bearish or declining trend. The color coding helps to quickly interpret the market's overall movement in relation to mining profitability.
Background Color: The background of the chart is used to reflect the strength of the trend. A darker or more intense background may signify a stronger trend, indicating that the market conditions are more pronounced, while a lighter background can suggest a weaker or more uncertain trend, showing less certainty in the market’s direction.
Together, the combination of bar color and background provides a clearer picture of both the trend's direction and its strength, making it easier to assess potential market behavior based on miner profitability and market cycles.
Puell Multiple and Moving Average: They can be used as an extra tool to confirm the bullish or bearish trend. When the Puell Multiple is above the Moving Average, this will suggest and confirm that the trend is bullish.
How you score this for your own systems is up to you.
-Jeffrey
