@DevTradesLive

Have backtested the strategy over 8 years of BTC data on 15M 📊 The result? Profit Factor: 1.765 ✅ Max Drawdown: 38% ⚠️ Intentionally tested with $1,000 capital, 1 lot size. Profit Factor : 1.72 (1 year) Profit Factor : 1.60 (2 years) Posted it on Reddit for honest feedback. Trending #20 in r/trading today 🔥 Got some really good feedback from the community — already know what to improve next. This is why building in public works. You don't have to figure it out alone. Backtest ≠ real trading. Next: Enhancements -> paper trading → forward testing → live. Not rushing this. #buildinpublic #algotrading #BTC

Low trades ≠ bad system. Low trades + high win rate = precision. Would you rather take 100 random trades or 8 highly confident ones? The secret sauce stays secret for now 🤫 Still backtesting. Still validating. #buildinpublic #algotrading

The system is extremely selective. It doesn't chase trades. It waits. And waits. Until everything lines up perfectly. When it fires — it means business.

Day 9 — Tested our AI system with $100 per asset 📊 $700 deployed. 7 assets. 60 days. 10% risk per trade. $700 → $1,069 (+52.78%) 📊 ⚠️ Backtested data only — 2 months. Still validating before going live.

@TheTriceRozay Saying “hello” on X is the new SEO apparently 😂

Bro to Bro: build your x account now Just say “hello” and gain 680 mutuals here.

Been quiet today for a reason 👀 1D timeframe results = solid ✅ Scalping on 15M = needs work So we're rewriting the entire indicator logic for scalping — different approach for Crypto, Gold & Indices. Same indicators ≠ same results across timeframes. Back to the drawing board. 🔧 Will drop results soon. #buildinpublic #algotrading

Google I/O 2026 in 4 lines: → Gemini 3.5 Flash: frontier intelligence, 4x faster → Omni Flash: text-to-video, actually editable → Spark: a 24/7 agent that briefs you every morning → Antigravity 2.0: agents that build apps for you Which one wins your week? #GoogleIO #Gemini #AI

Hey devs, traders & AI builders 👋 Quick question that’s been on my mind while testing systems: What AI model / LLM are you actually using the most right now for: • Coding trading bots • Backtesting & strategy generation • Signal filtering or analysis • General dev work Claude? GPT-4o? Grok? DeepSeek? Qwen? Local models? Something else? Drop your current main model 👇

What software quietly runs the world but nobody talks about?

@Akintola_steve Because copying is faster than product-market fit.

Why are there lots of start ups building the same thing ?

@sflorimm Politicians. AI hallucinates less

Name a career that AI can’t replace

Hey all! 👋 @X algorithm, I’m looking to #connect with people interested in: → Building with automation ⚡ → Exploring AI tools 🤖 → Trading (or losing money while “learning” like the rest of us 📉😂) → Creating in public & sharing the journey 🚀 If you're building cool stuff, drop your niche below 👇

Biggest lesson this week: Tested 789 signals → -1.5% return Tested 40 signals → +2.62% return More signals killed performance. Fewer, cleaner signals won every time. Quality always beats quantity in trading.

But I didn't stop there. Spent 2 days rebuilding the signal layer from scratch. Stacked multiple indicators on top of each other. The rule: every single one must agree before a trade fires. No consensus = no trade. Simple as that.

1D timeframe dominates everything. BTC 1D: +1,406% over 10 years ✅ BTC 4H: +10% ❌ BTC 1H: -7% ❌ Smaller timeframes = more noise = lower win rate. The daily chart is where the real edge lives.

Day 5 — Multi-timeframe results are in. Tested across 4H and 1H on 5 assets. One clear winner emerged. Here's what the data said: 🧵

In 2 years? Probably. But someone still has to know if it's generating the right 100%. The most valuable skill won't be writing code. It'll be reviewing, questioning and knowing when the AI got it wrong. Job title isn't disappearing it's just changing from "writer" to "reviewer."

do you think AI will generate 100% code in next 2 years?