Mongooses Short Squeeze Detector### **Description of the Short Squeeze Detector**
The **Short Squeeze Detector** is a tool designed to help traders identify potential short squeeze opportunities in the stock or cryptocurrency market. It highlights areas where conditions suggest that a significant price increase might occur as short sellers rush to cover their positions.
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### **What Is a Short Squeeze?**
A **short squeeze** happens when many traders who bet against a stock or asset (by short selling) are forced to buy it back because the price is rising. This creates a chain reaction of buying, driving the price even higher. It’s often fueled by:
1. **High short interest**: A lot of short positions.
2. **Buying pressure**: Increased demand for the stock or asset.
3. **Volume spikes**: Heavy trading activity.
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### **What This Indicator Shows**
This indicator analyzes four key factors:
1. **Short Interest (%)**: Measures how much of the stock is being shorted compared to its total available shares (or float).
2. **Days to Cover (DTC)**: Estimates how many days it would take for short sellers to cover their positions based on average trading volume.
3. **Volume Spikes**: Highlights periods of unusually high trading activity.
4. **Price Breakouts**: Identifies when the price moves significantly higher than the previous close.
When all these conditions align, the indicator signals a **potential short squeeze**.
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### **How to Use the Indicator**
#### **1. Look for the Signals**
- **Red Arrows (Short Squeeze Alerts)**: Appear when the conditions for a short squeeze are met. This is your primary signal that a potential squeeze is happening.
- **Blue Circles (Price Breakouts)**: Indicate strong upward price movement, often a component of a short squeeze.
- **Green Circles (Volume Spikes)**: Show when trading activity is abnormally high, which may indicate buying pressure.
#### **2. Interpret the Visual Highlights**
- **Background Shading**: Red shading on the chart highlights areas where short squeeze conditions persist, signaling an ongoing squeeze.
#### **3. Confirm the Trend**
- Check if the signals occur during a strong upward price trend. This ensures you're trading with momentum and not against it.
- Look for consistent volume spikes and price breakouts, which indicate sustained buying pressure.
#### **4. Combine With Other Indicators**
- Use this tool alongside trend or momentum indicators (e.g., RSI, moving averages) to confirm the direction of the price movement.
- Fundamental news or events (e.g., earnings reports or announcements) can also support your analysis.
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### **Why Use This Indicator?**
- **Beginner-Friendly**: The visual cues (arrows, circles, labels) make it easy to spot potential short squeezes.
- **Actionable Signals**: It highlights specific moments when conditions suggest a short squeeze could occur, helping you time your trades.
- **Customizable**: You can adjust thresholds for short interest, days to cover, and volume to suit your trading style.
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### **Key Tips for Beginners**
1. **Don’t Jump on Every Signal**: Not all alerts lead to successful short squeezes. Use additional confirmation methods before trading.
2. **Manage Risk**: Short squeezes can be highly volatile. Set stop-loss orders to protect your capital.
3. **Do Your Homework**: Research the stock or asset to understand why a short squeeze might happen (e.g., high short interest, positive news).
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This indicator is your starting point for spotting potential short squeezes and taking advantage of rapid price movements. Use it wisely, and let the visuals guide your analysis!
Shortsqueeze
Reversal Squeeze (Expo)█ Overview
The Reverse Squeeze indicator aims to identify situations where market participants (either short-sellers or long buyers) are under significant pressure due to unexpected price movements, which may lead to forced actions to mitigate their losses. These pressured situations, often termed as 'squeezes,' can lead to overreactions in the market that could subsequently result in price corrections or reversals.
█ What is a squeeze?
A squeeze occurs when a significant change in price forces market participants to take drastic action to mitigate their losses. There are two types of squeezes: short squeezes and long squeezes.
Short-Sellers Squeeze: This occurs when a stock's price unexpectedly rises, pressurizing short-sellers who had bet on the stock price going down. The increased price forces these short-sellers to buy back the stocks they had borrowed and sold (to close their positions), which can create even more demand for the stock, further driving the price up. This situation is often referred to as a "short squeeze."
Long Buyers Squeeze: This is the opposite situation, occurring when a stock's price unexpectedly falls, putting long buyers under pressure. These buyers had hoped for a price increase. The decline forces these long buyers to sell off their holdings to minimize further losses, adding more supply to the market, which can push the price down even further. This situation is like a "long squeeze."
The Reverse Squeeze indicator identifies these situations, assuming that the short-sellers or long buyers' forced actions will lead to overreactions in the market, resulting in a correction or a reversal. As a trader, you might use the Reverse Squeeze indicator to identify these potential overreactions and trade on the anticipated correction or reversal.
█ How are squeezes calculated?
Calculating a squeeze involves multiple factors, primarily revolving around price movements, trading volumes, and market sentiment. While the actual positions, like the number of shorted shares or long positions, provide direct insights, there are several other indicators that traders can use to estimate potential squeezes, especially when direct data isn't readily available.
Price Action: This is an essential aspect of calculating potential squeezes. Rapid and significant increases or decreases in a stock's price can hint at potential short and long squeezes, respectively. Traders monitor these drastic price movements to anticipate possible squeezes.
Volume: Volume, or the number of shares traded within a specific period, is another crucial factor. High trading volumes usually accompany squeezes. A sudden spike in volume along with a rapid price increase can indicate a short squeeze, while a rapid volume increase along with a quick price decrease could signal a long squeeze.
Volatility: Increased volatility is often associated with squeezes. A rapid increase in volatility might suggest that a squeeze is happening or about to happen.
█ How to use the Reversal Squeeze Indicator
The Reverse Squeeze indicator can be a valuable tool in a trader's arsenal. It has the potential to give traders an 'alpha,' or an edge over other market participants, for the following reasons:
Detection of Overreactions: The indicator helps to identify market overreactions, where stocks become overbought or oversold due to forced buying or selling. These overreactions often lead to price corrections or reversals, providing potential trading opportunities.
Anticipating Price Reversals: By identifying instances where short sellers or long buyers are "squeezed" and might need to take drastic action, the indicator can help traders anticipate potential overreactions in the market that might lead to price corrections or reversals.
Risk Management: By identifying potential squeezes, traders can manage their risk more effectively. They can avoid going short on a stock if a short squeeze seems likely or avoid going long if a long squeeze is anticipated.
█ Why is the Reversal squeeze indicator Needed?
The Reverse Squeeze Indicator can provide crucial insights into market dynamics that may not be apparent with other indicators. It allows traders to spot potential trading opportunities arising from market overreactions. Moreover, by identifying potential squeezes, traders can manage their risk more effectively, avoiding positions that might put them on the wrong side of a squeeze.
█ Here's how institutions might influence market conditions that can lead to a squeeze:
Institutions can actually contribute to creating squeezes because of their size. For instance, an institution that starts covering a large short position can trigger a short squeeze.
Conversely, an institution that begins to sell a large long position can trigger a long squeeze.
Or if an institution or a group of institutions decide to buy a large number of shares in a company that has a significant number of short positions, this increased demand can cause the stock price to rise. This upward movement can put pressure on short-sellers to cover their positions, further increasing demand and driving the price even higher, creating a short squeeze.
These activities are part of the market dynamics where larger players naturally have more influence. However, it's crucial to note that deliberately creating conditions to cause harm to other market participants can cross into market manipulation, which is illegal. So while it's theoretically possible for institutions to "squeeze" the market, it's generally not their primary strategy due to the legal, ethical, and reputation risks associated. They are, however, very adept at recognizing and capitalizing on these situations when they arise naturally in the course of market dynamics.
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Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
Crypto Longs & Shorts (Multi Exchange) - InFinitoThis indicator uses data provided by different crypto derivative exchanges to estimate and display the potential Longs and Shorts opened and closed during a determined period. The indicator supports multiple exchanges and coins.
Knowing the the behavior of traders as in how they're positioning can be useful for different things like:
Get a sense of market sentiment
Better anticipating which way liquidity/stop hunts might potentially go.
All data is calculated based off OI data provided by exchanges except for Bitfinex which provides both Longs and Shorts opened and closed
Preset exchanges included are:
Bitfinex
Binance: USDT, USDPERP & BUSD pairs
Bitmex: USDT & USD pairs
Kraken
The indicator is preset to work with BTC but it can be easily changed to any coin by typing it's name (Capitalized) in the Coin Name box
CryptoCurrency Short X-RayIndicator to show the data on short sellers for cryptocurrencies. Color coded as the following:
Orange=Shortsellers are Shorting
Blue =Shortsellers are Covering
Red =Others are Selling
Green =Others are Buying
Includes lines to show the range that shortsellers have recently (within the last 1024 bars) been operating in to give indication on how extended they are, along with 25%, 50%, and 75% levels inbetween. Do not rely exclusively on this indicator as this can change wildly depending on the situation at hand, and be sure to select the short data in the settings that matches the ticker you're trading.
Daily Short VolumeThis is a script to utilize Quandl (Now Nasdaq Data Link) FINRA Short Volume datasets to see daily volume proportions by short / long activity.
For clarity, long volume does not indicate buying or selling, just that some volume for the day was either buying-to-open or selling-to-close.
Similar but opposite, short volume indicates that some volume for the day was either selling-to-open or buying-to-close.
The decimal value indicates the proportion of Long to Short volume. Example, 0.40 green / 0.60 red would indicate 40% long volume / 60% short volume for that day.
We can take that information as well as the overall outcome of the days session to get an idea for who was drove the market direction for the day.
The four clear outcomes that we can look for are:
If the volume was mostly long (a mostly green bar in the indicator) than an up day would indicate position holders added to long positions.
If the volume was mostly long (a mostly green bar in the indicator) than a down day would indicate position holders reduced from long positions.
If the volume was mostly short (a mostly red bar in the indicator) than a down day would indicate position holders sold short and added to short positions.
If the volume was mostly short (a mostly red bar in the indicator) than an up day would indicate position holders bought to cover long positions.
Those are the clearest possible cases but far more likely the volume will be muddled between short and long making interpreting the net outcome of the day far more difficult.
Unfortunately this data is only published at a daily resolution by FINRA and is usually available at the end of the trading day approximately 3-4 hours following market close.
Please reach out with any questions, suggestions, or recommendations on how to improve this indicator.
Best,
Zero
Follow the Crypto ShortsThis script allows to test the impact of variations in the number of BTCUSD Shorts Positions on its price. In particular, it compares the number of short positions with its moving average to decide if shorts are being liquidated. In case the number of short positions crosses below its moving average, it will generate a Long Position, which will be closed if shorts crosses above its moving average.
Gherkinit Futures Cycle█ OVERVIEW
Presented here is code for the " NYSE:GME Futures cycle theory" originally conceived by Gherkinit (Pi-Fi) and his quantitative analysts which is still under peer review.
This theory was built upon the knowledge that many intelligent investors on Reddit accrued over the past year in regards to the Mother Of All Short Squeezes this stock has to offer.
Up until now, what happened in January 2021 was considered an anomaly brought on by FOMO and retail interest but it's starting to look like unfair market makers and similar went to cover and ran head on into retail FOMO which is why they cut off the buying at that time. In order to understand what happened and what's to come, visualizing the theory with ease is essential.
█ WHAT THE SETTINGS MEAN
- Enable Draw | Visual Clean up
(True/False) Quarterly dates : Enables or disables the quarterly dates that repeat every "cycle".
(True/False) Roll dates : Enables or disables the roll dates that repeat every "cycle".
(True/False) Expiration dates : Enables or disables the expiration dates that repeat every "cycle".
(True/False) Run dates : Enables or disables the run dates that repeat every "cycle".
- Date Colors | Making things look good
(Color) Quarterly : Color for the respective date.
(Color) Roll : Color for the respective date.
(Color) Expiration : Color for the respective date.
(Color) Run : Color for the respective date.
- Extended Cycle | Look into the future
(Integer) Extended line height multiplier : A multiplier value for the height of the lines representing the selected "future" cycle.
(Dollar Amount) Extended line height : The height value in dollars of the lines representing the selected "future" cycle.
(Integer) Extended line width : The width of the lines representing the selected "future" cycle.
(Integer) Extended cycle ID : The cycle you want to see "ahead" or in the "future". For example if you set the value to "0" you'll only see cycles from the past up until the present (already occurred). If you set the value to "1" you will see the estimated dates for the specific cycle in the future i.e. 1 cycle ahead of the last completed/visible cycle on the chart.
█ EXTRA INFO
This indicator was simply made by a bored CS student who didn't want to endlessly mark dates on a graph after learning more about the theory.
Hope this help whoever uses this. To the moon fellow apes!
- Winter ;)
P.s. Pickle 4 Life
TradiKator 05 Short VolumeTradiKator 05 Short Volume ( SV 05 by TK ) is the a visual indicator that plots short volume of current selected ticker.
Q&A
Function and Setting
1. Ratio of Volume /Short Volume
When it is selected, the "All volume" and "short Volume" will be auto hidden for better scaling view.
2. Short volume
Daily/Weekly/Monthly Short volume which indicators the short sell trading volume of the corresponding time period.
3. All volume
Just normal total volume from the whole market of the corresponding time period.
Note:
All the data showed in this indicator is Increment data, not Stocked interest data.
For example, daily short volume is the volume of the short selling in the corresponding time period.
It will not tell if these short interest/short position is still open or closed.
For short interest there is no daily updated data because broker will only report it by monthly.
For short interest you can only find delayed report data on main financial web site.
Net DASH Margin PositionTotal DASH Longs minus DASH Shorts in order to give you the total outstanding DASH margin debt.
ie: If 500,000 DASH has been longed, and 400,000 DASH has been shorted, then 500,000 has been bought, and 400,000 sold, leaving us with 100,000 DASH (net) remaining to be sold to give us an overall neutral margin position.
That isn't to say that the net margin position must move towards zero, but it is a sensible reference point, and historical net values may provide useful insights into the current circumstances.
(Anyone know what category this script should be in?)
Net EOS Margin PositionTotal EOS Longs minus EOS Shorts in order to give you the total outstanding EOS margin debt.
ie: If 5,000,000 EOS has been longed, and 4,000,000 EOS has been shorted, then 5,000,000 has been bought, and 4,000,000 sold, leaving us with 1,000,000 EOS (net) remaining to be sold to give us an overall neutral margin position.
That isn't to say that the net margin position must move towards zero, but it is a sensible reference point, and historical net values may provide useful insights into the current circumstances.
(Anyone know what category this script should be in?)
Net XMR Margin PositionTotal XMR Longs minus XMR Shorts in order to give you the total outstanding XMR margin debt.
ie: If 50,000 XMR has been longed, and 40,000 XMR has been shorted, then 50,000 has been bought, and 40,000 sold, leaving us with 10,000 XMR (net) remaining to be sold to give us an overall neutral margin position.
That isn't to say that the net margin position must move towards zero, but it is a sensible reference point, and historical net values may provide useful insights into the current circumstances.
Net NEO Margin PositionTotal NEO Longs minus NEO Shorts in order to give you the total outstanding NEO margin debt.
ie: If 500,000 NEO has been longed, and 400,000 NEO has been shorted, then 500,000 has been bought, and 400,000 sold, leaving us with 100,000 NEO (net) remaining to be sold to give us an overall neutral margin position.
That isn't to say that the net margin position must move towards zero, but it is a sensible reference point, and historical net values may provide useful insights into the current circumstances.
(Anyone know what category this script should be in?)
Net BTC Margin PositionTotal BTCUSDLONGS minus the BTCUSDSHORTS in order to give you the total outstanding BTC margin debt.
ie: If there are 50,000 BTC longs, and 40,000 BTC shorts, then 50,000 has been bought, and 40,000 sold, leaving us with 10,000 BTC net remaining to be sold to give us an overall neutral margin position.
That isn't to say that the net margin position must move towards zero, but it is a sensible reference point, and historical net values may provide useful insights into the current circumstances.
(Anyone know what category this script should be in?)
ShortSqueeze StochasticOscillatorHey!
I made a StochasticOscillator with BITFINEX:BTCUSDLONG & BITFINEX:BTCUSDSHOTS
Hope you enjoy it, and remember it's not about the asset's price, but about the asset's interest with these finantial tools.
Bitfinex BTC longs vs Short & RatioSince the last BTC Short Squeeze on Bitmex maintenance I decided to made a Indicator plotting Long:Short ratio, and their respective graphs.
Green = Longs
Red = Shorts
Black = Ratio (Longs:Shorts)*Close <= Close price just for chart normalization!
I hope you find it useful.
NOTE: It isn't a prospective indicator, but try to find out who's bitching the market and when ;p
