26 docs tagged with "trading"

🔹 1. What RSI Really Measures

Length: 15-25 minutes (according to chatgpt)

This guide explores the Acceleration Breakout strategy, designed to capitalize on volatility expansion following range compression, using conditional entries and a manual approach for trading execution.

This document provides a structured template for defining and managing automated trading strategies, covering aspects like origin metadata, signal definitions, state machines, risk controls, and telemetry.

Exploring deeper structural and multi-indicator dynamics hidden within MACD.

How to position for breakouts when you already have a directional bias—by pairing a core and counter leg to stay convex before confirmation.

Why the rules that trigger a trade are fundamentally different from the rules that define your statistical edge — and why separating them is the foundation of correct stop-loss, take-profit, and position sizing design.

Why spoofing and fake order flow are not about deception, but about triggering predictable second-order reactions in market microstructure.

This page details the "First Bollinger Midline Reject" trading strategy, focusing on the first rejection at the Bollinger midline after a regime flip, capturing momentum continuation following volatility re-expansion.

Explore methods to quantify the market's reaction force by measuring recovery strength after a sell-off, using slope and range distance in financial trading.

A mutually exclusive, collectively exhaustive (MECE) classification of market activity and potential activity — covering volume, positions, order books, and latent liquidity.

Learn how to achieve payoff symmetry in trading by balancing potential gains and losses through strategic hedging and scaling, not just equal position sizes.

Introduction: Seeing Markets as Dynamic Systems

Explore the trading strategy of the Second Bollinger Midline Test to evaluate trend strength post-first midline rejection, utilizing Bollinger Bands and VWAP for trade setup confirmation.

This guide outlines a high-risk trading strategy focused on using small, isolated collateral with high leverage to capitalize on short, explosive market movements. It includes guidelines for capital discipline, setup, order placement, and post-trade analysis.

SPL is a modular trading execution platform that enables users to run trade strategies seamlessly across shadow, paper, and live modes without impacting real liquidity until desired. The platform offers a pluggable, reproducible, and safe environment for executing trading strategies with a unified logic.

Explore risk management strategies in leveraged markets, contrasting stop loss and stop bleed techniques to avoid the margin call spiral.

How to determine stop-loss distance using drawdown and persistence distributions instead of ATR, based on the strategy’s own statistical behavior.

How repeated price exposure distorts perceived probability, even under statistically backed trading.

Explore the three Bollinger Band regimes: full-range oscillation, uptrend, and downtrend, and learn how price movements and midline testing predict market trends.

Explore the origin and mechanics of True Range and Average True Range (ATR), foundational measures of market volatility introduced by J. Welles Wilder Jr., and their relevance in modern continuous markets.

A categorical breakdown of why "going long" does not exist in spot markets and how ownership differs from directional exposure.