#Trading
research notes.
Trading strategies, journaling, backtesting, and the mechanics of discretionary and algorithmic trading.
How I Built an Automated Forex Trading Bot with AI in MQL5
How to build an automated forex trading bot with AI in MetaTrader 5 MQL5. Covers flip-flop logic, trailing stops, broker safeguards, and GitHub source.
Intraday Forex Trading Journal: A Data-Driven Framework for Daily Market Bias & Execution
A systematic, data-driven framework for intraday Forex trading covering market session bias, order flow analysis, liquidity sweeps, and disciplined risk management for EUR/USD and GBP/USD.
Why I Walked Away: Burnout, Trading Losses, and My Playbook for a Clean Reset
After eleven months pushing through burnout across trading, coding, writing, and data science — I walked away. Here is my honest playbook for a clean reset.
Top 5 Forex Prop Firms in 2026: The Only Ones Worth Your Capital
I tested the top 5 forex prop firms in 2026 to see which ones actually pay. Here is the brutal truth about FTMO, FundedNext, The 5ers, FundingPips, and E8 Markets.
Building a Sovereign Trading Bot: Automated Python Execution on MT5 (2026)
Stop renting bots. Master the Python-MT5 stack for local, private, and high-performance algorithmic trading. Includes modular boilerplate and 2026 best practices.
DeFi Trading AI Agents: The 2026 Guide to Intent-Based Finance
Master the era of agentic DeFi. Learn how DeFi Trading AI Agents, intent-solvers, and MCP are redefining liquidity, MEV protection, and cross-chain alpha in 2026.
ZK-Solvers: Solving the Trust Problem in Intent-Based DeFi
Trust but verify. Explore how ZK-Solvers, ERC-7683, and Aligned Layer are bringing cryptographic proof to off-chain intent-based trading in 2026.
Sovereign HFT: Building Ultra-Low Latency Trading Stacks Without Cloud Telemetry
Eliminate jitter and own your alpha. Learn how to build Sovereign HFT stacks using Rust, local NPUs, and zero-telemetry architectures for 2026.
Algorithmic Trading with LLM Sentiment: Building a Real-Time News Pipeline in Python
Master sentiment-driven trading in 2026. Learn how to build a Python pipeline that converts global news into actionable alpha signals using DeBERTa and CCXT.
The Math of Liquidations: Predicting Volatility Spikes in the 2026 Bull Run
Master the mechanics of market volatility. Learn the math behind liquidation cascades and how to use heatmaps to predict price movement in 2026.
Quantum-HFT: How Quantum Annealing is Changing the Math of Liquidity Provision
Master the 2026 frontier of quant finance. Learn how Quantum Annealing and QUBO optimization are providing institutional desks with a sub-millisecond alpha edge.
Beyond the Order Book: Using WebSockets and Rust to Build a Sub-Millisecond Market Maker
Master the 2026 standard for HFT. Learn how to build a sub-millisecond market maker in Rust using zero-copy parsing, CPU pinning, and high-performance WebSockets.
I Built My Own AI Trading Bot. Here's the Brutally Honest Guide to Doing It Yourself
A no-fluff, battle-tested breakdown of how to build an AI trading bot in Python — covering strategy, data, model selection, backtesting, and the real reasons most bots blow up.
Data Science Crypto Market Analysis: A Practical Framework for Smarter Market Research
A practical framework for using data science in crypto market analysis — covering data sources, key metrics, ML use cases, and Python tools to turn noisy market data into structured, evidence-driven decisions.