Create Account
Log In
Dark
chart
exchange
Premium
Terminal
Screener
Stocks
Crypto
Forex
Trends
Depth
Close
Check out our Level2View

FXLV
F45 TRAINING HOLDINGS INC
stock OTC

Inactive
May 28, 2026
0.000001USD-99.995%(-0.019999)449
Pre-market
0.00USD-100.000%(-0.02)0
After-hours
0.00USD0.000%(0.00)0
OverviewHistoricalExchange VolumeDark Pool LevelsDark Pool PrintsExchangesShort VolumeShort Interest - DailyShort InterestBorrow Fee (CTB)Failure to Deliver (FTD)ShortsTrendsNewsTrends
FXLV Reddit Mentions
Subreddits
Limit Labels     

We have sentiment values and mention counts going back to 2017. The complete data set is available via the API.
Take me to the API
FXLV Specific Mentions
As of Aug 11, 2026 7:23:55 AM EDT (<1 min. ago)
Includes all comments and posts. Mentions per user per ticker capped at one per hour.
28 days ago • u/Odd_Ad9705 • r/quantfinance • syndicatewatch_beta_invitation_report • B
# Simple Summary
SyndicateWatch is an app that tracks insider buying.
The basic idea is simple:
Company insiders sometimes buy shares of their own company with their own money. That does not guarantee the stock will go up, but it can be a useful clue.
SyndicateWatch organizes those insider-buying events into research-backed signals. The app does not make decisions for you. It helps you see the signal, understand the historical context, and decide whether the trade fits your own plan.
This is ongoing research. The goal is to keep improving the signals, share the potential benefits with early users, and be honest about both the upside and the risk.
# Beta Testing Invitation
I am opening a small beta testing group for 5 people, for 3 months, interest? email at syndicatewatchapp@gmail.com.
Beta testers will help test the app, give feedback, report issues, and help shape the direction of the product before it is offered more broadly.
After the first beta spots are filled, anyone else who wants to start using the app may be considered for Basic YTearly Membership at $120.
The membership fee is not a promise of profit. It helps support the cost of keeping the app running, including data processing, app hosting, alerts, maintenance, and continued research.
# What Beta Testers Get
Beta testers get early access to the app while it is still being improved.
The goal is to test the real experience:
* Receiving insider-buying signals
* Reviewing signal history and warnings
* Tracking open positions
* Seeing planned exit dates
* Testing app updates and notifications
* Reporting confusing screens, bugs, or missing context
Beta access is not a promise that every feature is finished. It is a way to help shape the app before wider release.
# What I Ask From Beta Testers
I am looking for people who can:
* Use the app honestly
* Report bugs or confusing behavior
* Give feedback on the signal language
* Tell me what feels useful or unnecessary
* Understand that this is research, not financial advice
The best beta tester is not someone who expects guaranteed returns. The best beta tester is someone who wants better information and is willing to help improve the tool.
# What The App Does
SyndicateWatch looks for insider-buying activity and turns it into organized research.
The app helps answer questions like:
* Which companies recently had insider buying?
* Was the signal strong enough to pass the current filters?
* How did similar signals perform historically?
* How long would the trade normally be watched?
* Are there warnings, such as repeated open positions or sell-pressure context?
* Is this a production signal or only a research candidate?
# What We Tested
We tested a simple real-world style question:
If a person invested $50 per signal, reused profits when possible, and only added cash when needed, what would have happened historically?
The test looked at:
* Number of trades
* Money added out of pocket
* Ending value
* Net gain
* Win rate
* Average return per trade
* Best and worst trades
* How many trades could be open at once
* Whether the strategy worked across years or only during lucky periods
# Important Findings In Plain English
# 1. The signals show promise
Some signal groups performed well historically.
For example, earlier testing showed:
|Strategy|Holding Time|Trades|Money Added|Ending Value|Net Gain|Win Rate|
|:-|:-|:-|:-|:-|:-|:-|
|Active Production Policies|30 days|574|$884.85|$1,774.77|$889.93|55.40%|
|Active Production Policies|365 days|996|$7,744.52|$12,260.86|$4,516.34|58.84%|
In simple words:
The 30-day version needed less money and may be easier for smaller accounts.
The 365-day version made more total profit in the test, but it required more cash, more patience, and more time with money tied up.
# 2. A signal is not a guarantee
Even the better historical strategies did not win every time.
Many useful strategies had win rates around 52% to 59%.
That means losing trades are normal. The possible value is not that every signal wins. The possible value is that the odds may be slightly better when the signals are filtered carefully and followed with discipline.
# 3. Small accounts need different expectations
Some strategies look strong on paper but require a lot of open trades at the same time.
That may not be realistic for someone starting small.
For smaller accounts, shorter holding periods may be more practical because the money comes back faster and fewer trades may overlap.
# 4. Long holds may work, but they are harder to follow
Longer holding periods can catch bigger winners, but they also:
* Keep cash tied up longer
* Create more open positions
* Require more patience
* Can go through rough periods
* Can include very large losses
Shorter holding periods may be easier to use in real life, even if they do not always create the largest historical profit.
# 5. Sell pressure is useful context, but not a proven automatic exit yet
We are also researching insider selling after a buy signal.
So far, sell pressure appears useful as context, but not reliable enough to automatically force an exit.
In the app, this type of information should be treated as a warning or research note, not as a command to sell.
# Best Historical Examples
Some historical trades performed extremely well.
Examples using $50 per signal:
|Ticker|Company|Holding Time|Gain|Return|
|:-|:-|:-|:-|:-|
|SMMT|Summit Therapeutics Inc.|365 days|$574.00|1,148.00%|
|LBSR|Liberty Star Uranium & Metals Corp.|90 days|$468.31|936.61%|
|MRNA|Moderna, Inc.|365 days|$417.37|834.74%|
|NRIS|Norris Industries, Inc.|365 days|$392.62|785.24%|
These are exciting, but they should not be overhyped.
A few huge winners can make a strategy look better than it feels day to day. That is why the worst trades matter too.
# Worst Historical Examples
Some historical trades performed very badly.
Examples using $50 per signal:
|Ticker|Company|Holding Time|Loss|Return|
|:-|:-|:-|:-|:-|
|PQEFF|PETROTEQ ENERGY INC.|365 days|\-$49.51|\-99.03%|
|CING|Cingulate Inc.|365 days|\-$49.15|\-98.30%|
|FXLV|F45 Training Holdings Inc.|365 days|\-$49.01|\-98.02%|
|SYRS|Syros Pharmaceuticals, Inc.|365 days|\-$48.46|\-96.92%|
This is the honest warning:
Some trades can go very wrong.
SyndicateWatch should never be used as if every signal is safe or guaranteed.
# Pros
* Organizes insider-buying activity in one place
* Uses historical research instead of random stock tips
* Separates production signals from research-only candidates
* Helps users see context before making a decision
* Can support small-dollar testing because signals can be sized modestly
* Keeps improving as more data and live results are collected
# Cons And Risks
* Signals can lose money
* Some trades can lose most of their value
* A win rate near 55% still means many losing trades
* Backtests are not the same as future performance
* Some strategies may require more cash than expected
* Longer holding periods can tie up money
* Data issues can happen with ticker changes, delistings, mergers, and bankruptcies
* The app is still in active research and beta testing
# Who This May Be Good For
This may be useful for someone who:
* Likes researching stocks
* Wants organized insider-buying alerts
* Understands that signals are not guarantees
* Is comfortable making their own final decisions
* Can handle losing trades
* Wants to participate in an early-stage research project
# Who This Is Not For
This is probably not a good fit for someone who:
* Wants guaranteed returns
* Wants the app to make decisions for them
* Cannot tolerate losing trades
* Needs instant results
* Plans to risk money they cannot afford to lose
* Expects every alert to be a winning trade
# Current Membership Idea
For now, I am opening 5 beta testing spots.
After those spots are filled, Basic Membership may be offered at $120.
The fee helps support:
* App hosting
* Data processing
* SEC filing downloads
* Price data maintenance
* Alerts and notifications
* Ongoing research
* Bug fixes and improvements
The fee is not a performance fee and does not guarantee results.
# Plain-English Disclaimer
SyndicateWatch is a research tool. It is not financial advice.
The app identifies insider-buying patterns that have shown historical promise, but every user is responsible for their own decisions.
Past results do not guarantee future results. Some signals will lose money. Some may lose a lot.
Use the app to study opportunities, compare risk, and decide whether a trade fits your own plan.
sentiment 1.00
28 days ago • u/Odd_Ad9705 • r/quantfinance • syndicatewatch_beta_invitation_report • B
# Simple Summary
SyndicateWatch is an app that tracks insider buying.
The basic idea is simple:
Company insiders sometimes buy shares of their own company with their own money. That does not guarantee the stock will go up, but it can be a useful clue.
SyndicateWatch organizes those insider-buying events into research-backed signals. The app does not make decisions for you. It helps you see the signal, understand the historical context, and decide whether the trade fits your own plan.
This is ongoing research. The goal is to keep improving the signals, share the potential benefits with early users, and be honest about both the upside and the risk.
# Beta Testing Invitation
I am opening a small beta testing group for 5 people, for 3 months, interest? email at syndicatewatchapp@gmail.com.
Beta testers will help test the app, give feedback, report issues, and help shape the direction of the product before it is offered more broadly.
After the first beta spots are filled, anyone else who wants to start using the app may be considered for Basic YTearly Membership at $120.
The membership fee is not a promise of profit. It helps support the cost of keeping the app running, including data processing, app hosting, alerts, maintenance, and continued research.
# What Beta Testers Get
Beta testers get early access to the app while it is still being improved.
The goal is to test the real experience:
* Receiving insider-buying signals
* Reviewing signal history and warnings
* Tracking open positions
* Seeing planned exit dates
* Testing app updates and notifications
* Reporting confusing screens, bugs, or missing context
Beta access is not a promise that every feature is finished. It is a way to help shape the app before wider release.
# What I Ask From Beta Testers
I am looking for people who can:
* Use the app honestly
* Report bugs or confusing behavior
* Give feedback on the signal language
* Tell me what feels useful or unnecessary
* Understand that this is research, not financial advice
The best beta tester is not someone who expects guaranteed returns. The best beta tester is someone who wants better information and is willing to help improve the tool.
# What The App Does
SyndicateWatch looks for insider-buying activity and turns it into organized research.
The app helps answer questions like:
* Which companies recently had insider buying?
* Was the signal strong enough to pass the current filters?
* How did similar signals perform historically?
* How long would the trade normally be watched?
* Are there warnings, such as repeated open positions or sell-pressure context?
* Is this a production signal or only a research candidate?
# What We Tested
We tested a simple real-world style question:
If a person invested $50 per signal, reused profits when possible, and only added cash when needed, what would have happened historically?
The test looked at:
* Number of trades
* Money added out of pocket
* Ending value
* Net gain
* Win rate
* Average return per trade
* Best and worst trades
* How many trades could be open at once
* Whether the strategy worked across years or only during lucky periods
# Important Findings In Plain English
# 1. The signals show promise
Some signal groups performed well historically.
For example, earlier testing showed:
|Strategy|Holding Time|Trades|Money Added|Ending Value|Net Gain|Win Rate|
|:-|:-|:-|:-|:-|:-|:-|
|Active Production Policies|30 days|574|$884.85|$1,774.77|$889.93|55.40%|
|Active Production Policies|365 days|996|$7,744.52|$12,260.86|$4,516.34|58.84%|
In simple words:
The 30-day version needed less money and may be easier for smaller accounts.
The 365-day version made more total profit in the test, but it required more cash, more patience, and more time with money tied up.
# 2. A signal is not a guarantee
Even the better historical strategies did not win every time.
Many useful strategies had win rates around 52% to 59%.
That means losing trades are normal. The possible value is not that every signal wins. The possible value is that the odds may be slightly better when the signals are filtered carefully and followed with discipline.
# 3. Small accounts need different expectations
Some strategies look strong on paper but require a lot of open trades at the same time.
That may not be realistic for someone starting small.
For smaller accounts, shorter holding periods may be more practical because the money comes back faster and fewer trades may overlap.
# 4. Long holds may work, but they are harder to follow
Longer holding periods can catch bigger winners, but they also:
* Keep cash tied up longer
* Create more open positions
* Require more patience
* Can go through rough periods
* Can include very large losses
Shorter holding periods may be easier to use in real life, even if they do not always create the largest historical profit.
# 5. Sell pressure is useful context, but not a proven automatic exit yet
We are also researching insider selling after a buy signal.
So far, sell pressure appears useful as context, but not reliable enough to automatically force an exit.
In the app, this type of information should be treated as a warning or research note, not as a command to sell.
# Best Historical Examples
Some historical trades performed extremely well.
Examples using $50 per signal:
|Ticker|Company|Holding Time|Gain|Return|
|:-|:-|:-|:-|:-|
|SMMT|Summit Therapeutics Inc.|365 days|$574.00|1,148.00%|
|LBSR|Liberty Star Uranium & Metals Corp.|90 days|$468.31|936.61%|
|MRNA|Moderna, Inc.|365 days|$417.37|834.74%|
|NRIS|Norris Industries, Inc.|365 days|$392.62|785.24%|
These are exciting, but they should not be overhyped.
A few huge winners can make a strategy look better than it feels day to day. That is why the worst trades matter too.
# Worst Historical Examples
Some historical trades performed very badly.
Examples using $50 per signal:
|Ticker|Company|Holding Time|Loss|Return|
|:-|:-|:-|:-|:-|
|PQEFF|PETROTEQ ENERGY INC.|365 days|\-$49.51|\-99.03%|
|CING|Cingulate Inc.|365 days|\-$49.15|\-98.30%|
|FXLV|F45 Training Holdings Inc.|365 days|\-$49.01|\-98.02%|
|SYRS|Syros Pharmaceuticals, Inc.|365 days|\-$48.46|\-96.92%|
This is the honest warning:
Some trades can go very wrong.
SyndicateWatch should never be used as if every signal is safe or guaranteed.
# Pros
* Organizes insider-buying activity in one place
* Uses historical research instead of random stock tips
* Separates production signals from research-only candidates
* Helps users see context before making a decision
* Can support small-dollar testing because signals can be sized modestly
* Keeps improving as more data and live results are collected
# Cons And Risks
* Signals can lose money
* Some trades can lose most of their value
* A win rate near 55% still means many losing trades
* Backtests are not the same as future performance
* Some strategies may require more cash than expected
* Longer holding periods can tie up money
* Data issues can happen with ticker changes, delistings, mergers, and bankruptcies
* The app is still in active research and beta testing
# Who This May Be Good For
This may be useful for someone who:
* Likes researching stocks
* Wants organized insider-buying alerts
* Understands that signals are not guarantees
* Is comfortable making their own final decisions
* Can handle losing trades
* Wants to participate in an early-stage research project
# Who This Is Not For
This is probably not a good fit for someone who:
* Wants guaranteed returns
* Wants the app to make decisions for them
* Cannot tolerate losing trades
* Needs instant results
* Plans to risk money they cannot afford to lose
* Expects every alert to be a winning trade
# Current Membership Idea
For now, I am opening 5 beta testing spots.
After those spots are filled, Basic Membership may be offered at $120.
The fee helps support:
* App hosting
* Data processing
* SEC filing downloads
* Price data maintenance
* Alerts and notifications
* Ongoing research
* Bug fixes and improvements
The fee is not a performance fee and does not guarantee results.
# Plain-English Disclaimer
SyndicateWatch is a research tool. It is not financial advice.
The app identifies insider-buying patterns that have shown historical promise, but every user is responsible for their own decisions.
Past results do not guarantee future results. Some signals will lose money. Some may lose a lot.
Use the app to study opportunities, compare risk, and decide whether a trade fits your own plan.
sentiment 1.00


Share
About
Pricing
Policies
Markets
API
Info
tz UTC-4
Connect with us
ChartExchange Email
ChartExchange on Discord
ChartExchange on X
ChartExchange on Reddit
ChartExchange on GitHub
ChartExchange on YouTube
© 2020 - 2026 ChartExchange LLC