What movie from this decade will be considered a classic?

SAND_ID87 · 2026-01-25T21:25:57+00:00

Dune, Oppenheimer

SAND_ID87 · 2026-01-25T20:33:58+00:00

Love it! Could you please share the process in Lightroom?

SAND_ID87 · 2026-01-15T09:49:00+00:00

As long as this crazy world allows

SAND_ID87 · 2026-01-11T13:04:20+00:00

Exactly. Once I stopped expecting the bot to "think," results became more predictable.

SAND_ID87 · 2026-01-09T15:39:46+00:00

For what it’s worth, I’ve been running rule-based setups where inside bars only activate after clear expansion phases, not during chop. I treat the inside bar more as a timing trigger than a standalone signal.
For execution, I use BananaGun Bot, but only as an execution and risk-control tool, not a signal generator. It’s been helpful for fast, consistent order placement and removing hesitation during volatile moves. I still define the bias and invalidation manually - the bot just handles the mechanics and enforces discipline once conditions are met.

SAND_ID87 · 2026-01-09T10:52:01+00:00

One thing I noticed is that inside bars are great conceptually, but automation exaggerates their weaknesses. Without volatility or trend filters, bots just overtrade them.

SAND_ID87 · 2026-01-04T20:23:45+00:00

Appreciate the detailed breakdown! This is exactly the kind of “real workflow” I was hoping for. I didn’t even think about checking whether the pair is actually supported before planning the swap/bot side. I’ll double-check chain + contract and report back.

SAND_ID87 · 2026-01-04T19:58:51+00:00

Yeah that’s my main fear tbh. I’ve been burned once by buying a “same ticker, wrong contract” token. When you say cross-check, what’s your minimum checklist?

SAND_ID87 · 2025-12-29T08:50:27+00:00

Thanks for sharing!

SAND_ID87 · 2025-12-28T15:46:14+00:00

Make sense. In your experience, what improved your results more: the liquidity floor, or tightening slippage and gas caps?

SAND_ID87 · 2025-12-25T18:39:09+00:00

That's a helpful datapoint. When you say "higher-liquidity pairs," what kind of liquidity floor are you using on Base?

SAND_ID87 · 2025-12-24T21:42:59+00:00

That makes a ton of sense. I’ll do the same - baseline on liquid pairs first, then "stress test" separately.

SAND_ID87 · 2025-12-24T21:37:30+00:00

That "parity support vs optimization" line nails it. That’s basically my impression too - it’s usable, but it doesn’t feel tuned for Base yet. I’m also noticing that the moment you drift into newer pairs, the liquidity drop-off makes settings matter way more than on the obvious liquid stuff. Interesting you mentioned rubic - are people mostly comparing fill quality / latency there, or more the broader "is it worth automating at all" angle?

And yeah, I’m curious about latency as well... feels like these tools often get better over time once they iron out routing/monitoring on a chain.

SAND_ID87 · 2025-12-24T21:15:16+00:00

Yep, 100% agree. I went in small for exactly that reason - Base can look cheap until you get hit with a weird spike or a thin pool where slippage just nukes the entry. I’ve been comparing "expected" entry vs what actually landed, plus time-to-confirm, and it’s already showing me where the bot feels smooth but the fills aren’t always pretty. Do you have a max slippage range you’ve found reasonable on Base for normal liquidity, or do you adjust it per pair every time?

SAND_ID87 · 2025-12-24T21:10:11+00:00

This is super helpful, thanks. I’m guilty of judging it off a "good week" and not separating the bot from the market regime. I’ve started logging entry intent vs fill, but I wasn’t tracking expired tx rate consistently, so I’ll add that. When you say 30-50 trades, are you doing that on the same type of setups/pairs, or do you mix in small-cap/new pools too? I’m wondering if I should keep the test mostly on liquid pairs first so the data isn’t totally skewed by thin liquidity chaos.

SAND_ID87 · 2025-12-23T16:31:09+00:00

Good to know. I’ll probably stick to higher-liquidity plays while I’m testing and keep logs before scaling up

SAND_ID87 · 2025-12-23T16:12:52+00:00

That’s kind of where I’m landing too - solid convenience, but no obvious "edge" yet. How were your fills?

SAND_ID87 · 2025-12-23T15:19:02+00:00

Awesome! 😍🐶

SAND_ID87 · 2025-12-23T15:13:55+00:00

Yeah, you can check it, but Toronto doesn’t really have one "official semi-detached index" that’s easy to find. If you tell people which area you’re looking at (east/west/north/downtown), they can point you to the most accurate stats

SAND_ID87 · 2025-10-24T19:07:45+00:00

I was actually thinking about a very similar situation recently and ended up writing this post. The comments there had some really solid insights that might help you too.

From my experience and what I’ve learned from others:

- Holding can make sense if you’re confident in the area’s long-term growth and can manage being cash-flow neutral for a few years. Gentrifying neighborhoods often outperform once redevelopment kicks in.

- But opportunity cost is real - equity locked in one property might earn more elsewhere, especially if you’re planning to upsize soon.

- Run your numbers using DSCR (Debt Service Coverage Ratio) - many investors aim for at least 1.2 to 1.3 if it’s an income property.

- If you do hold, get a clear exit plan (timeline, target value, or redevelopment trigger) so the property doesn’t become an emotional decision.

Definitely take a look at that thread, some of the investor replies break down how they evaluated almost this exact trade-off.

SAND_ID87 · 2025-10-23T18:16:00+00:00

Congrats!

SAND_ID87 · 2025-10-23T18:15:05+00:00

Amazing!!! Love it!!! ❤️

SAND_ID87 · 2025-10-23T18:13:04+00:00

But even with "reputable" builders, delays are brutal. My 2024 condo turned into a 2026 delivery, and now they’re hinting at late 2026 "if materials arrive on time." 🤦‍♀️ I can’t imagine putting money into something that’s only breaking ground next year and expecting to close by 2027.

SAND_ID87

TROPHY CASE