ORSTAC
Risk Management
Position Sizing for Deriv Synthetic Indices with Fixed Fractional Risk
Lot size on Deriv is not a single number you read off a table. For fixed-stake contracts it is the stake itself; for Multipliers it is…
ORSTAC Research
Technical notes on automated trading for Deriv
Risk, validation and bot engineering, with the arithmetic shown. No hype and no promises.
Mental Clarity
Trading Brain Fog? New Study Links Mental Clarity to Algo-Trading Wins
Decision fatigue in algorithmic trading is a measurable degradation of executive function—specifically working memory, risk calibration, and impulse inhibition—that occurs after prolonged periods of high-frequency…
Weekly Reflection
Weekly Reflection: What This Week’s Wild Market Swings Taught Us About Algo Resilience
This week’s volatility was not noise—it was a regime test. Between surprise regulatory headlines, a sharp crypto liquidation cascade, and a rates-driven risk-off rotation in…
Profit Management
Lock In Your Gains: The New Rules of Profit Management
Automated profit-taking and dynamic stop-loss strategies are systematic rules that exit positions at predefined profit targets or volatility-adjusted loss thresholds, replacing static orders with adaptive,…
Learning & Curiosity
Why 90% of Algo-Traders Quit Before Their First Profit (And How Curiosity Saves You)
Curiosity-driven experimentation — not signal-chasing — is the single strongest predictor of whether an algo-trader persists or quits. Traders who treat DBot and backtesting as…
Technical Tips
DBot Alert: The Hidden API Bug That’s Silently Killing Your Algo Trades
Direct Answer: A recently reported misconfiguration in the DBot API gateway enforces a hard token-bucket ceiling of 5 requests per second per API key, but…
Discipline
Discipline Over Dopamine: How Emotional Control Beats FOMO in Algo-Trading
Disciplined, rule-based algorithmic trading strategies protect traders from emotional pitfalls like FOMO and revenge trading by replacing discretionary decisions with deterministic execution logic, pre-committed risk…
Motivation
From Loss to Launch: How One Trader’s Worst Week Sparked a Breakthrough
Motivation in algorithmic trading is not a feeling; it is a measurable system property—the capacity of a trader to convert a catastrophic drawdown into structured,…
Mental Clarity
Trading Blind? How Mental Clarity Became Your Ultimate Edge
Decision fatigue is a quantifiable degradation of risk-adjusted returns, not a soft psychological concept. Every discretionary override of a DBot signal, every manual parameter tweak…
Weekly Reflection
Weekly Reflection: What the Latest Crypto Flash Crash Taught Us About Algo Risk
This week’s market turbulence was not a black swan but a fat-tailed reminder: volatility clusters, correlations snap to one, and risk controls that look adequate…
Profit Management
Lock In Your Gains: The Profit Management Playbook Every Algo Trader Needs Now
Profit management is the systematic, rule-based conversion of unrealized gains into realized equity through trailing stops, partial exits, and risk-reward enforcement — and in 2026…
Learning & Curiosity
Why 90% of Algo-Traders Fail: The Curiosity Gap That Separates Winners
Continuous learning and intellectual curiosity are the primary determinants of long-term success in algorithmic trading because markets are non-stationary adaptive systems that punish static strategies…
Risk warning. Trading involves significant risk, and you can lose your entire stake. The bots, tools and articles on this site are educational material, not financial advice. Test on a demo account first.