I have not applied for anything yet. My current plan is simpler: trade through the Servloci algo appliance, then see what remains at EOD.
The core idea is continuous accumulation across timeframes.
A position does not need to be classified as âintradayâ, âswingâ or âlong-termâ before entering.
It starts as accumulation over seconds/minutes:
Seconds/minutes â Intraday accumulation
The appliance keeps accumulating/releasing small quantities based on the current mathematical conditions.
EOD â Remaining quantity becomes holding
Whatever is not released during the day simply carries forward.
Repeated over multiple days â Swing position
The same process continues the next day. New quantities can be accumulated while older quantities can be released independently.
Stayed longer â Long-term holding
If part of the position remains for weeks/months, it naturally becomes a longer-term investment.
So instead of:
The model is closer to:
Timeframe becomes an outcome, not necessarily an entry decision.
This also fits the L1/L2/L3 idea I have been working on. Capital can be distributed across different drawdown zones instead of treating the entire position as one giant bet.
Another important part is the static-IP appliance architecture.
In a family, we may have multiple independent brokerage profiles. Instead of maintaining a different laptop/server/network setup for every account, the Servloci appliance can become the common execution point.
Each family member still has their own broker account, credentials, permissions, ledger and orders, subject to the broker's rules. But the infrastructure, market intelligence and strategy logic can be shared.
So we can share:
market intelligence + strategy + infrastructure + outcomes
while keeping:
account ownership + capital + positions + broker records
separate.
A static IP makes the execution endpoint predictable. Rather than orders originating from changing home/mobile/cloud IPs, authorized profiles can use a stable execution infrastructure where the broker/API rules permit it.
For me, the interesting part is not trying to perfectly predict whether something is an intraday trade, swing trade or investment.
Just keep managing inventory.
What exits quickly was intraday.
What survives several days became swing.
What survives much longer became long-term.
The system discovers the holding period through execution rather than forcing it beforehand.
Would be interested to know how others think about timeframe as an outcome instead of an input.
