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JEFFERY
- Rate $14
- Response 1h

$14/h
1st lesson free
- Computer programming
- JavaScript
- Artificial Intelligence
- Video game development
“Learn Real Programming by Building a Live Trading Bot From Scratch” Start today
- Computer programming
- JavaScript
- Artificial Intelligence
- Video game development
Lesson location
About JEFFERY
I spent years as a government program engineer, working on systems where failure wasn’t theoretical. Mistakes didn’t mean a red error message — they meant real consequences, audits, and accountability. In that environment, you learn something fast: • Code is never just code • Systems don’t care about intention • And shortcuts always surface later I didn’t come from the internet “guru” world. I came from regulated systems, constrained environments, and high-pressure execution. ⸻ Why I Built This Course Over time, I watched programming education drift in the wrong direction: • Too many abstractions • Too many toy projects • Too many people taught syntax but not thinking People were being trained to follow instructions — not to understand systems. So I stepped away from closed environments and decided to put real engineering power back into people’s hands. Not by promising outcomes. Not by selling fantasies. But by teaching how real systems are built, broken, debugged, and shut down responsibly. ⸻ What Makes This Different This course doesn’t teach tricks. It teaches judgment. You’ll learn: • How professionals reason about risk • Why most automated systems fail • How to validate reality instead of trusting estimates • When not to deploy code The flash loan bot isn’t the product. It’s the training ground. ⸻ Trust Statement (Very Important) I don’t promise profits. I don’t promise success. I promise: • Honest explanations • Real constraints • And the same mindset I used when failure wasn’t an option If you want entertainment, this isn’t it. If you want shortcuts, this isn’t it. If you want to think like an engineer, you’re in the right place.
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- English
All languages in which the lesson is available :
English
Flash Loan Bot — Lesson Flow (High-Level) Foundations: How the System Actually Works Students learn: • What a blockchain program is vs a script • How transactions, instructions, and accounts interact • Why flash loans exist and how atomic transactions work • Where profit really comes from (and why most attempts fail) Goal: Mental model first. No code yet. ⸻ Environment & Tooling Setup Students set up: • Development environment (CLI, wallet, RPC) • Secure key handling and account separation • Read-only vs signing contexts • Logging, simulation, and dry-run habits Goal: Teach professional setup, not “run random scripts”. ⸻ Understanding Liquidity & Lending Protocols Students analyze: • How lending pools expose flash liquidity • Borrow → use → repay mechanics • Fees, constraints, and failure conditions • Why borrow/repay mismatches happen Goal: Learn to read protocol logic, not guess. ⸻ Transaction Anatomy (The Core Lesson) Students break down: • Instruction ordering • Account metas and permissions • Token accounts and balances • Why one bad instruction breaks everything Goal: Learn atomic execution thinking. ⸻ Swap Logic & Price Reality Students explore: • DEX routing basics • Slippage, spread, and price movement • Why “estimated profit” lies • How real execution differs from quotes Goal: Replace theory with reality. ⸻ Profit Validation (The Hard Part) Students implement logic to: • Account for all fees (protocol, priority, rent) • Validate profit before execution • Reject trades that look good but aren’t • Understand false positives Goal: Teach discipline and defensive coding. ⸻ Failure Handling & Debugging Students learn: • How to read failed transactions • Common failure modes (repay mismatch, account locks) • Why retries often make things worse • How to log intelligently Goal: Turn failure into signal. ⸻ Security & Risk Boundaries Students study: • Key isolation and wallet safety • Rate limits and RPC failure handling • Why automation amplifies mistakes • When not to trade Goal: Engineer mindset over gambler mindset. ⸻ Simulation → Controlled Execution Students practice: • Running in simulation only • Small-scale controlled execution • Observing real chain behavior • Measuring outcomes honestly Goal: Respect production systems. ⸻ Post-Mortem Thinking (Most Courses Skip This) Students review: • What worked vs what didn’t • Why most bots don’t stay profitable • When to shut systems down • How these skills transfer to other domains Goal: Create builders, not dependents.
Rates
Rate
- $14
Pack rates
- 5 h: $70
- 10 h: $140
online
- $14/h
free lessons
This first lesson offered with JEFFERY will allow you to get to know each other and clearly specify your needs for your next lessons.
- 1hrs
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