Guides

Field notes from the desk: building on the API, sizing risk, reading positioning, and telling real quant work from marketing.

Trader reviewing an automated trading bot dashboard with live FX signals

Build a trading bot

A practical guide to building your own trading bot: pick a certified signal source, consume it over a clean API, add your own risk rules, and go live safely.

MetaTrader 5 chart with an Expert Advisor consuming an external signals API

Build an MT5 Expert Advisor

Build an MetaTrader 5 Expert Advisor that trades certified FX signals: WebRequest setup, polling the API, order mapping, and position sizing, step by step.

n8n workflow canvas automating FX trading signals with HTTP request nodes

n8n trading automation

Wire certified FX signals into n8n: poll the API with a cursor, filter new signals, alert your phone, journal to a sheet, or hand off to your executor.

Developer using an AI assistant to write trading bot code next to market charts

ChatGPT and trading

ChatGPT cannot predict markets, and anyone saying otherwise is selling something. Where it genuinely shines: writing the bot that trades certified quant signals.

Quantitative analytics screens comparing AI trading model performance metrics

Evaluating trading AI

There is no honest leaderboard of profitable trading AIs. There is a checklist: auditable outcomes, certification discipline, real data breadth, quantified risk.

Terminal showing JSON output from a forex signals REST API

Forex signals API

A clean read-only REST API for certified FX signals: bearer keys, snapshot and incremental endpoints, quantified fields (entry, SL, TP, R:R), 60 requests/min.

Side-by-side crypto and forex market data on trading screens

Crypto vs forex

Liquidity, sessions, data depth, carry, and counterparty risk: an honest comparison of crypto and forex for systematic trading, and why our models specialise in FX.

Gold price chart with conflicting macro indicators on a trading terminal

Why gold is unpredictable

Gold answers to real yields, the dollar, central banks, fear, and physical demand all at once, and the mix changes without notice. A quant's view of XAUUSD.

Equity curve from a backtest diverging from live trading results

Why backtests fail

Overfitting, survivorship, regime change, and costs: why a beautiful backtest so often dies in live trading, and what a certified, forward-tested model does differently.

Phone showing a suspicious forex signal group chat with exaggerated profit claims

Spot a signal scam

Screenshot profits, no stops, countdown timers, results that live only in private chats: the red flags of forex signal scams, and what a legitimate service looks like.

Chart cluttered with technical indicators contrasted with clean market data

Do indicators work?

Indicators are transformations of past price: they lag, they crowd, and they overfit beautifully. What moves FX instead, and how driver-based models read it.

Trader comparing copy trading and API-driven signal execution on two screens

Signals vs copy trading

Copy trading mirrors a stranger's decisions inside your account. A signals API keeps sizing, execution, and custody on your side. An honest comparison of the two models.

Risk management worksheet with position size calculations beside a trading screen

Position sizing

Risk a fixed fraction, size from the stop distance, cap your exposure. The position sizing formula with worked examples and a free calculator.

Futures positioning data from the COT report charted against currency prices

COT report explained

What the CFTC's Commitments of Traders report shows, why the Tuesday-to-Friday lag matters, and how positioning data feeds systematic FX models.