DDaniel_official

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DDaniel_official

DDaniel_official

@danieldianabasi

Full stack developer: Committed in automating business processes through Python Development and building young minds into AI development.

Nigeria Katılım Mart 2017
138 Takip Edilen47 Takipçiler
DDaniel_official
DDaniel_official@danieldianabasi·
The incontrovertible truth: Christ died, rose, and reigns as God. Our faith is unshakable!
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DDaniel_official
DDaniel_official@danieldianabasi·
In Christ dwells the fullness of the Godhead bodily. Absolute certainty of His deity—our Rock and Redeemer! 🔥
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DDaniel_official
DDaniel_official@danieldianabasi·
The deity of Christ isn't a theory; it's incontrovertible! We know Him who is true, and we are in Him. Glory to the eternal Son!
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DDaniel_official
DDaniel_official@danieldianabasi·
Jesus is God manifest in the flesh! No debate— the Son of God has come and given us understanding of the true One. Hallelujah!
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DDaniel_official
DDaniel_official@danieldianabasi·
Through one Man’s obedience, you received abundance of grace and righteousness. Now dominate sin & circumstances!
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DDaniel_official
DDaniel_official@danieldianabasi·
Your righteousness isn't earned—it's the free gift of Christ. Stand bold in His perfection!
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Dhanian 🗯️
Dhanian 🗯️@e_opore·
As an AI Developer, which one are you? A. Python → PyTorch → Hugging Face → LLMs → RAG → Agents B. Python → TensorFlow → Keras → Computer Vision → Model Deployment C. Python → LangChain → LlamaIndex → Vector DBs → AI Orchestration D. Python → FastAPI → PostgreSQL + pgvector → LLM APIs → Production AI E. TypeScript → Next.js → Vercel AI SDK → OpenAI/Anthropic → Full-Stack AI F. Python → CrewAI/AutoGen → Multi-Agent Systems → Tool Use → AI Workflows G. Go/Python → High-Performance Inference → ONNX/TensorRT → Edge AI → Optimization
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DDaniel_official
DDaniel_official@danieldianabasi·
AI didn't replace devs in 2026—it just exposed 80% were just fancy copy-pasters. Real ones direct the orchestra now. Cope harder, vibe coders.
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SimplyUtd
SimplyUtd@SimplyUtd·
📸 One word for Senne Lammens 👇
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DDaniel_official
DDaniel_official@danieldianabasi·
Because the difference between people who “want to build” and those who actually succeed… is execution. DM for your Forex App or A personal/Commercial AI Trading Bot.
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DDaniel_official
DDaniel_official@danieldianabasi·
I didn’t build the LumaTradeFX app to be another trading platform—and that’s the first lesson if you want to create something similar.
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DDaniel_official
DDaniel_official@danieldianabasi·
If you’re serious about building your own trading advisor app, start now. Not next week. Not after more research. Open your editor. Define your first market rule. Build a simple analyzer. You don’t need a perfect system—you need a working one.
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DDaniel_official
DDaniel_official@danieldianabasi·
Build a basic engine that analyzes one or two market conditions. Make it explain its decisions clearly. Then scale—don’t overbuild from day one. And most importantly—don’t chase complexity too early. A clear, reliable system will always beat a complicated, unstable one. See more
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DDaniel_official
DDaniel_official@danieldianabasi·
If your goal is to build a “forex app,” you’ll get lost in a crowded space. But if your goal is to solve a real problem, that’s where things start to work. For me, the problem was clear: traders don’t lack tools—they lack understanding. They follow signals without knowing why ..
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DDaniel_official
DDaniel_official@danieldianabasi·
That’s the philosophy behind the LumaTradeFX app. It doesn’t trade for you. It thinks with you. If you want to build something like this, here’s your starting point: Start simple. Define your trading logic on paper first.
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DDaniel_official
DDaniel_official@danieldianabasi·
You’re not just building an app. You’re building a system that can evolve: Add broker integrations (without taking control) Add analytics dashboards Add social or copy-validation features Improve your algorithm over time The goal is to make traders better—not dependent.
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DDaniel_official
DDaniel_official@danieldianabasi·
and validate those signals instead of blindly passing them through. This turns your app into a decision engine—not just a signal provider. Fifth, don’t ignore performance. One mistake I ran into was latency. If your system updates slowly, it doesn’t matter how smart it is...
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DDaniel_official
DDaniel_official@danieldianabasi·
You need: Real-time data streaming (not slow polling) Efficient backend processing Fast APIs Speed is not a feature in trading—it’s a requirement. Finally, think long-term. See more...
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DDaniel_official
DDaniel_official@danieldianabasi·
Then build rules around how these interact. Don’t rush into AI. A strong rule-based system is often more reliable at the beginning because you fully understand it and control it. Second, focus on explanation, not just output.
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DDaniel_official
DDaniel_official@danieldianabasi·
guiding users instead of controlling their trades. Fourth, consider hybrid intelligence. Pure algorithms are powerful, but markets are also driven by human behavior. One smart move is to integrate external signals from experienced traders via APIs. Your system can then filter..
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