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
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
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
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