What's good, systematic traders! 🎯 I just launched The Traders' Bible — a complete reference guide for pyramiding, trailing stops, position sizing, and professional trade management. And it comes with a FREE interactive web app with 8 different calculators so you can actually BUILD these systems yourself. Open the app here: https://traders-bible.web.app This isn't just another trading guide. This is a SYSTEM—a complete framework synthesizing techniques from Jesse Livermore, the Turtle Traders, Nicolas Darvas, Chuck LeBeau, and Rob Carver into actionable, calculable strategies. Let me walk you through what's inside. 👇 🎯 What Is The Traders' Bible? It's your complete toolkit for systematic position management. Every concept has a matching interactive calculator in the web app. The Flow: Read the concept (in this post or in the app) Open the calculator (keyboard shortcut F1-F8) Input your trade parameters Get exact numbers, charts, and guidance Execute with ZERO discretion Navigate the app with keyboard shortcuts: F1 — DASH (Dashboard & data management) F2 — PYMD (Pyramid Planner) F3 — STOP (Trailing Stop Calculator) F4 — TRCK (Position Tracker) F5 — FREE (Free Roll Calculator) F6 — SURV (Survivability Analyzer) F7 — RISK (Expectancy Calculator) F8 — EDUC (Education Hub) Or use the sidebar codes if you prefer clicking. Let's break down each module! 🚀 🔺 Module 1: Pyramiding — Adding to Winners (F2 PYMD) We covered this in the previous post, but here's the quick recap with the app integration: The Three Scaling Methods Equal Unit Scaling (Turtle Method): Add the same size at each level (100-100-100-100) Simple and aggressive Raises your AEP fast Used by Turtle Traders at 0.5N intervals (up to 4 units max) Tapered Scaling (50%): Each add is half the previous (100-50-25-12.5) Keeps your center of gravity LOW Way more resilient to corrections The preferred method for most traders Fibonacci Scaling (61.8%):

Anyone here using Borosfi? Hoping for feedback, or better yet a tutorial if anyone is feeling generous with their time! 😅

Quick observation from the charts: Bitcoin and IGV (iShares Expanded Tech-Software ETF) have been moving in near-lockstep since 2023. What we're seeing: - Both assets rallied hard through 2024, peaking around the same time - The recent pullback? Nearly identical trajectory - BTC currently at ~$69.9k, IGV at $82.46 - both down from recent highs Why this matters: This tight correlation tells us Bitcoin is still trading as a risk-on tech asset, not the "digital gold" narrative many hoped for. When software stocks sneeze, BTC catches a cold. For DeFi investors: - Macro tech sentiment matters MORE than you think - Fed policy, tech earnings, and Nasdaq movements should be on your radar - Diversification within crypto alone isn't true diversification if you're ignoring the tech correlation The days of "BTC is uncorrelated" are behind us. We're in the institutional era now - which means macro matters. What are you watching to gauge risk sentiment? Drop your thoughts below. 👇 Not financial advice. Chart analysis for educational purposes.

What's good, traders! 🎯 Today we're diving into one of the most powerful—and most dangerous—position sizing techniques in trading: Pyramiding. This is how Jesse Livermore, Nicolas Darvas, and the Turtle Traders built positions that turned small accounts into fortunes. It's also how countless traders have blown up their accounts by doing it wrong. The difference? Systematic execution and rigid risk control. This post breaks down the math, the methods, and the mechanisms that separate the legends from the liquidated. Let's get into it! 🚀 🎯 What Is Pyramiding? Pyramiding is the practice of adding to winning positions as they move in your favor. Instead of entering your full position at once, you: Start with a small "probe" position Add to it ONLY if it's profitable Use unrealized profits to finance additional risk Build a massive position while keeping realized risk minimal The Core Principle: Anti-Martingale 🎲 This is the OPPOSITE of Martingale (doubling down on losses). Martingale (Bad): Lose → Double position size Lose → Double again Eventually you run out of capital Statistical ruin is inevitable Anti-Martingale (Good): Win → Increase position size Lose → Decrease position size Losses stay linear, gains become exponential Captures "fat tail" positive events (massive runs) The Philosophy: When you're winning, the market is telling you something. The trend is real. The momentum is there. The "line of least resistance" is in your direction. So you lean into it. When you're losing, you get small. When you're winning, you get BIG. 💪 💰 The "House Money" Concept Here's the brilliant part: once your initial position is profitable, you're playing with "house money" (unrealized profits). Example: Initial Position: Buy 100 shares at $100 Risk per share: $5 (stop at $95) Total risk: $500 Price moves to $110: Your position is up $1,000 (unrealized profit) You have "house money" of $1,000 Add to Position: Buy 50 more shares at $110 Move stop on ALL shares to $105 (your AEP)

Hey builders! 👨‍💻 Most of you have seen the previous post about the Euler Private Credit Facility and how it's generating 20-33% APY for whitelisted participants. But today we're going DEEP on the technical implementation—how you actually DEPLOY one of these things. This is for: 🏗️ Protocol developers building similar systems 🔧 DevOps engineers managing DeFi infrastructure 🧠 Technical enthusiasts who want to understand how institutional DeFi actually works 📊 Risk managers who need to audit these systems If you're not technical, this might be dense. But stick around—understanding the deployment process reveals a lot about the security and risk management involved. Let's build! 🚀 🎯 What We're Actually Deploying The Euler Private Credit Facility isn't just "one smart contract." It's an orchestrated system of multiple components working together: The Core Stack: ✅ EulerRouter: Oracle routing and configuration manager ✅ HookTargetAccessControl: The whitelist bouncer + emergency pause system ✅ FixedRateIRM: The interest rate model (that magical 0.25% APY) ✅ EVault: The actual lending vault (deployed via factory) ✅ PendlePtOracleAdapter: Connects Pendle markets to Euler ecosystem Think of it like deploying a bank, except it's all code and one mistake could drain millions. No pressure! 😅 📋 The Four-Phase Deployment Process Professional DeFi deployments follow a RIGOROUS process. You don't just "yeet contracts to mainnet and hope for the best." Here's how it actually works: 🔬 Phase 1: Pre-Deployment Validation (The "Please God Don't Get Rekt" Phase) Before touching mainnet, you validate EVERYTHING in a controlled environment. Step 1: Unit Testing with Foundry bashforge test This runs your entire test suite. You're checking: ✅ Hook configurations work correctly ✅ IRM (Interest Rate Model) calculates rates properly ✅ Oracle wiring is correct ✅ Access control logic functions as expected ✅ Edge cases don't cause reverts If ANY test fails, you do NOT proceed. Period. 🛑