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Check out our Dark Pool Levels

MFI
mF International Limited Class A
stock NASDAQ

At Close
Mar 12, 2026
12.19USD0.000%(0.00)1,252
0.00Bid   0.00Ask   0.00Spread
Pre-market
0.00USD-100.000%(-12.19)0
After-hours
0.00USD0.000%(0.00)0
OverviewPrice & VolumeSplitsHistoricalExchange VolumeDark Pool LevelsDark Pool PrintsExchangesShort VolumeShort Interest - DailyShort InterestBorrow Fee (CTB)Failure to Deliver (FTD)ShortsTrends
MFI 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
MFI Specific Mentions
As of Mar 13, 2026 10:03:28 PM EDT (<1 min. ago)
Includes all comments and posts. Mentions per user per ticker capped at one per hour.
6 days ago • u/Short-Cantaloupe-899 • r/algotrading • strategy_backtest_results_go_or_no_go • C
At first glance the numbers look decent (profit factor >2 and recovery factor >6 in sample), but a couple things would make me cautious before going live.
The biggest one for me is **sample size**. 83 trades in-sample and only 11 OOS trades is really small. With strategies based on multiple indicators and pattern filters it's pretty easy to overfit unintentionally during optimization. The fact that the PF stays around \~2 in OOS is encouraging, but with only 11 trades it's hard to say much statistically.
Another thing is the **number of filters**. You have RSI, CCI, MFI, Stochastic + MA trend filter + candle pattern. When you start stacking that many indicators, sometimes they end up measuring similar momentum/overbought signals in slightly different ways. It can improve backtests but sometimes reduces robustness.
A couple things I would personally test before moving to paper trading:
• run a **walk-forward analysis** instead of a single IS/OOS split
• test **parameter stability** (do similar settings still work?)
• randomize entry slightly to check if the edge survives small perturbations
• include **realistic spread/slippage** if not already included
If the strategy still holds up under those tests, then paper trading would make sense.
But overall the fact that OOS didn’t collapse is already a good sign.
Out of curiosity, what market is this on (forex, futures, crypto)?
sentiment 0.97
6 days ago • u/Short-Cantaloupe-899 • r/algotrading • strategy_backtest_results_go_or_no_go • C
At first glance the numbers look decent (profit factor >2 and recovery factor >6 in sample), but a couple things would make me cautious before going live.
The biggest one for me is **sample size**. 83 trades in-sample and only 11 OOS trades is really small. With strategies based on multiple indicators and pattern filters it's pretty easy to overfit unintentionally during optimization. The fact that the PF stays around \~2 in OOS is encouraging, but with only 11 trades it's hard to say much statistically.
Another thing is the **number of filters**. You have RSI, CCI, MFI, Stochastic + MA trend filter + candle pattern. When you start stacking that many indicators, sometimes they end up measuring similar momentum/overbought signals in slightly different ways. It can improve backtests but sometimes reduces robustness.
A couple things I would personally test before moving to paper trading:
• run a **walk-forward analysis** instead of a single IS/OOS split
• test **parameter stability** (do similar settings still work?)
• randomize entry slightly to check if the edge survives small perturbations
• include **realistic spread/slippage** if not already included
If the strategy still holds up under those tests, then paper trading would make sense.
But overall the fact that OOS didn’t collapse is already a good sign.
Out of curiosity, what market is this on (forex, futures, crypto)?
sentiment 0.97


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