u/Remarkable-Echo4783

Three weeks ago I posted that I was building trading infrastructure

research, validation, paper trading and execution in one place.

Here's what moved since then.

Live MT5 data now runs through a bridge we wrote ourselves, because

nothing off the shelf did what we needed. The copy trading engine on

top of it has risk management underneath, not bolted on.

On the futures side we're pulling ATAS data and pushing our orders to

Tradovate over webhooks. That lets us run several of our own prop

accounts at once, automatically, instead of clicking the same trade

five times.

Two security audits came back. 41 issues fixed.

Next up: the strategy layer moves inside the app. Backtest,

walk-forward and live execution against the same code, no export step.

That's the part I'm confident about. Here's what I'm not:

→ Depth of book for futures. We're top-of-book today, and the jump to

L2 looks more like a licensing problem than an engineering one.

→ Market data licensing the moment redistribution enters the picture.

Consolidated tape vs direct feeds is a maze.

→ Smart order routing once there's more than one venue. The theory is

clean, the practice isn't.

→ Prime brokerage / FCM relationships for the futures side. Cold

emails aren't cutting it.

If you work at a broker, LP, FCM, exchange or data vendor and any of

this is your day job — I'd love to compare notes. DMs open.

Still not selling anything. Just trying to map what I don't know.

I've been trading for 6 years. I use AI to generate strategies. Here's the loop I built to make sure they don't blow up.

Most "verified" EAs you see online are curve-fitted garbage. They look amazing on the backtest, then evaporate the moment the market regime changes. The retail space is full of strategies that "worked" for 3 months.

The loop has 3 steps. Most strategies die in step 2. The ones that survive all three are rare — that's the whole moat.

Step 1 — Generate (AI-assisted). I give the LLM a market regime ("here's what the 2020 COVID crash looked like, propose a strategy that would have survived it"). It proposes the entry/exit logic. I rewrite the actual code, not the LLM.

Step 2 — Backtest (multi-regime). 5+ years of data. Must survive the 2020 crash, the 2022 rate hikes, the 2023 bank crisis. No parameter tuning after the fact. If it only works on one regime, it's dead.

Step 3 — Forward test (live, locked). Minimum 6 months on a real broker account. One deposit, no withdrawals, no parameter changes. The strategy has to prove itself on the live tape, not just the backtest.

The grid strategy I posted last week went through this loop. +388% return, 29% max DD, 6 months live, one deposit, no withdrawals — VT Markets statement attached. The 29% DD is honest: it came from a deliberate risk-up after the 100% mark to test how far the strategy could go.

If you're building strategies with AI and you don't have step 3, you're shipping backtests.

Comment "quant" and I'll DM you the next breakdown of the validation loop.

>I've been building ConductLoop, a local-first AI second brain for people who want an AI assistant that works off their own notes and knowledge — without shipping everything to someone else's cloud. Your data stays on your machine.

How it works:

• Desktop app is the core product — it lives on your computer, so your notes/memory never leave it.
• Free iOS companion that pairs to your own machine over your local network (QR scan, no account, nothing stored on a server).

I'm at the stage where real feedback matters way more than downloads, so I'd genuinely love for a few of you to kick the tires and tell me where it's confusing, slow, or missing the point. There's a free 7-day trial (no card tricks — it's $10/mo after if you keep it, but I mostly want your reactions right now).

Specifically I'd love to know:

1. Does "local-first AI second brain" actually click, or is the pitch fuzzy?
2. First 5 minutes — where did you get stuck?
3. What would make this a daily-use tool for you vs. a "nice demo"?

Link in the comments so it doesn't look spammy. Roast it — that's the point. 🙏

I've been building ConductLoop, a local-first AI second brain for people who want an AI assistant that works off their own notes and knowledge — without shipping everything to someone else's cloud. Your data stays on your machine.

How it works:

• Desktop app is the core product — it lives on your computer, so your notes/memory never leave it.
• Free iOS companion that pairs to your own machine over your local network (QR scan, no account, nothing stored on a server).

I'm at the stage where real feedback matters way more than downloads, so I'd genuinely love for a few of you to kick the tires and tell me where it's confusing, slow, or missing the point. There's a free 7-day trial (no card tricks — it's $10/mo after if you keep it, but I mostly want your reactions right now).

Specifically I'd love to know:

1. Does "local-first AI second brain" actually click, or is the pitch fuzzy?
2. First 5 minutes — where did you get stuck?
3. What would make this a daily-use tool for you vs. a "nice demo"?

Link in the comments so it doesn't look spammy. Roast it — that's the point. 🙏

>

II run a one-person operation. Twelve active projects, seven repos in production, fourteen live URLs, monthly cloud costs across four providers, a hundred TODOs a week, decisions that need to survive six months. Obsidian is great for notes but useless for "what was I doing last Tuesday on the traincurve project" or "which URLs went down this week" or "how much did I spend on OpenAI last month."

So I built ops-dashboard. It's a local-first app that indexes everything you work on and gives you a single dashboard to query it.

What it does:

• Searches across your Obsidian vault, repo READMEs, daily logs, and project notes using semantic embeddings plus keyword matching
• Runs an agent org chart you can edit, with per-agent chat using any LLM provider you already pay for (BYOK, no markup)
• Auto-extracts TODOs from your source files across any language and surfaces them with priority inference
• Tracks costs per provider per month in EUR/USD/GBP without connecting to your bank
• Logs every technical decision with the context, consequences, and links you needed at the time
• Syncs GitHub PRs, issues, and recent commits for every repo you own
• Monitors your live URLs and pings a webhook when something goes down or recovers
• Generates weekly summaries of what shipped vs last week
• Includes voice notes via local Whisper on CPU
• Ships with reusable templates for the workflows you do every month (launch checklist, incident response, code review)

How it runs: Python on the backend, vanilla JS on the frontend, SQLite for storage. Single binary, no Docker required, no cloud account, no telemetry, no signup. Indexes around 2,800 documents in under five minutes on a MacBook.

Who it's for:

Solo founders, indie hackers, freelancers with more than three repos in production, anyone who has outgrown a todo app but doesn't want a Notion subscription.

Pricing idea (still validating):

• Free, self-hosted, BYOK: bring your own API keys, no signup, MIT-licensed core
• $9/month hosted: zero setup, includes Ollama-backed chat so you don't pay for tokens, weekly email digests
• $29/month team: shared org chart, role-based views, shared decisions log

What I'd love feedback on:

1. Is local-first still a real differentiator in 2026, or have people moved past it?
2. Would you pay $9/month for hosted, or does self-host-only feel limiting?
3. What's missing that would make you switch from Notion / Obsidian alone?
4. Multi-provider chat is the killer feature for me. Is that enough of a wedge, or do people want one provider to "just work" out of the box?

II run a one-person operation. Twelve active projects, seven repos in production, fourteen live URLs, monthly cloud costs across four providers, a hundred TODOs a week, decisions that need to survive six months. Obsidian is great for notes but useless for "what was I doing last Tuesday on the traincurve project" or "which URLs went down this week" or "how much did I spend on OpenAI last month."

So I built ops-dashboard. It's a local-first app that indexes everything you work on and gives you a single dashboard to query it.

What it does:

• Searches across your Obsidian vault, repo READMEs, daily logs, and project notes using semantic embeddings plus keyword matching
• Runs an agent org chart you can edit, with per-agent chat using any LLM provider you already pay for (BYOK, no markup)
• Auto-extracts TODOs from your source files across any language and surfaces them with priority inference
• Tracks costs per provider per month in EUR/USD/GBP without connecting to your bank
• Logs every technical decision with the context, consequences, and links you needed at the time
• Syncs GitHub PRs, issues, and recent commits for every repo you own
• Monitors your live URLs and pings a webhook when something goes down or recovers
• Generates weekly summaries of what shipped vs last week
• Includes voice notes via local Whisper on CPU
• Ships with reusable templates for the workflows you do every month (launch checklist, incident response, code review)

How it runs: Python on the backend, vanilla JS on the frontend, SQLite for storage. Single binary, no Docker required, no cloud account, no telemetry, no signup. Indexes around 2,800 documents in under five minutes on a MacBook.

Who it's for:

Solo founders, indie hackers, freelancers with more than three repos in production, anyone who has outgrown a todo app but doesn't want a Notion subscription.

Pricing idea (still validating):

• Free, self-hosted, BYOK: bring your own API keys, no signup, MIT-licensed core
• $9/month hosted: zero setup, includes Ollama-backed chat so you don't pay for tokens, weekly email digests
• $29/month team: shared org chart, role-based views, shared decisions log

What I'd love feedback on:

1. Is local-first still a real differentiator in 2026, or have people moved past it?
2. Would you pay $9/month for hosted, or does self-host-only feel limiting?
3. What's missing that would make you switch from Notion / Obsidian alone?
4. Multi-provider chat is the killer feature for me. Is that enough of a wedge, or do people want one provider to "just work" out of the box?

My trading calculator app will be released publicly on the App Store today. To publish it on Google, I need 12 Android testers. Does anyone want to help? The apps will be free.

I built an iOS app to stop juggling browser tabs and spreadsheets for the quick math before a trade. v1 is just the calculators I personally use:

• Position size (risk-based lot sizing)
• Pip value
• Risk/reward
• Margin
• Profit/loss
• Compounding projection
• Grid spacing

It's free and does the calculator job well, but for v2 I want to make it something you'd actually open daily, not just when you need a quick number.

For those of you trading from your phone (or alongside it): what would make a mobile trading tool genuinely useful to you?

Things I'm weighing: a lightweight trade journal, session/market-hours clock, economic calendar, currency correlation matrix, swap/rollover calc, drawdown tracker, price alerts, Apple Watch complications, home-screen widgets. But I'd rather hear what's actually missing for you than build what I assume.

What would you add — or what does every other app get wrong?

We did a 100% of profit in less than 2 weeks using a grid EA on xauusd and XAGUSD, if someone wants to try it I have it for free in mql5

live track record https://www.myfxbook.com/portfolio/evcopy/12055174

Been running my own EA on a live $25k account since February. 
Wanted to share the results since I rarely see people posting 
actual verified live data.

Stats:
- Total gain: +69.44%
- Monthly avg: 15.50%
- Max drawdown: 8.19%
- Win rate: 72% annual / 79% this month
- Broker: VT Markets 1:500 MT5

Strategy: Smart Money / ICT concepts — liquidity sweeps, 
FVGs, session-based entries (London + NY only).


Happy to answer questions about the setup.

Yesterdays Fed meeting was Powells last as chair. 8-4 dissent split, most divided Fed since 1992. Kevin Warsh taking over.

For those trading CFDs and futures, here's what matters:

The transition is priced in, but the dissent is not Markets expected Powell to leave. What they didn't price was how divided the Fed actually is. Two-to-one on the dissent means real disagreement on rate direction. That affects volatility expectations across all asset classes.

Warsh likely more hawkish on timing If you're holding long positions on indices or commodities, this matters. A Fed chair more focused on speed of policy could mean faster repricing if data doesn't cooperate.

Geopolitical backdrop amplifies everything Oil at $120, Strait of Hormuz issues, Trump terminated the Iran deal. This isn't normal transition weather. Energy prices + hawkish new chair + geopolitical tension = harder to predict market behavior.

For futures traders specifically: Watch the curve. If Warsh moves fast on any policy signal, the short end of the curve will react first. Crude and natural gas futures already pricing in the geopolitical risk premium.

The question isn't whether this is a shock - it isn't. It's whether the dissent split signals more volatility ahead than markets are currently pricing.

What's your read on positioning for this?

Hey everyone,

I’ve been developing TradingView indicators and decided to make them fully free and open-source for the community.

No paywalls, no locked features — just clean, transparent code that anyone can use or improve.

Right now I’m looking for new ideas to build next, so I’d love your input:

What kind of indicators do you feel are missing?

Any tools you’ve always wanted but never found?

Something you currently use but think could be improved?

I’m especially interested in:

Price action tools

Smart money concepts (FVG, liquidity, etc.)

Simple but effective scalping tools

Anything that actually gives an edge (not just visual noise)

If I like the idea, I’ll build it and release it open-source here.

Also happy to share what I’ve already made if anyone’s interested.

Appreciate any suggestions