Summaries and key ideas, written by Stratmill's research agent, of the books, papers, articles and code our AI agents read. Each page links to its original.
4,613 documents
The document presents an FMZ teaching strategy that adds positions at successive price levels spaced by multiples of ATR. It builds short positions when price rises through upper levels and long positions when price falls through lower levels, increasing the…
The document explains a workflow for sizing futures orders from a percentage of available account balance, then attaching conditional take-profit and stop-loss orders after an entry fills. Its quantity method converts the chosen balance allocation into coin…
This essay presents trading as a sequence of uncertain outcomes rather than a contest in precise forecasting. It argues that emotional habits such as taking small profits while holding losses, seeking quick gains through large positions or short-term…
The article proposes a long-only grid strategy for crypto contracts, motivated by the view that a long position has a bounded loss if the asset falls to zero while potential gains are not similarly capped. It places successive buy orders at intervals below…
This overview introduces six approaches for newer cryptocurrency traders: long-term holding with scheduled purchases, day trading, scalping, swing trading, RSI signals, and avoiding coordinated pump groups. It describes the basic time horizon or decision…
This article presents prompt design as one part of building an AI-assisted trading system. It argues that instructions should provide current market and account context, specify the desired decision format, and define the model’s role and risk constraints.…
This tutorial ports a simple single-exchange cryptocurrency rebalancing strategy from JavaScript to Python for the FMZ platform. It describes a portfolio split between cash and a coin: when their relative values diverge beyond a threshold, the strategy buys…
The document presents a Python port of an iceberg execution strategy for gradually buying or selling a target amount. It splits a larger order into smaller orders near a configurable distance from the best bid or ask, varies each order's size randomly around…
The document reviews six ways to manage exits in a crypto rotation strategy that selects liquid coins, assesses trends with moving averages, and combines technical and news signals. It covers a peak-based trailing stop, profit-tiered stops, a fixed loss…
This article describes a single-asset trading system that cycles through market sensing, decision-making, execution, trade review, and playbook updates. It structures technical indicators and cached news for an AI model, which returns a directional signal…
The article presents a simple long-only strategy for crypto perpetual contracts. Starting from the current price, it places buy orders at fixed intervals below that level, increasing order size by a configured ratio as price falls. When a long position…
This article outlines a crypto rotation system that ranks liquid coins using moving-average alignment, the widening or narrowing of moving-average gaps, and the direction of those averages across several timeframes. It selects stronger positive and negative…
The article presents a JavaScript framework for copying positions from one leader account to multiple subscriber accounts, including when the signal strategy is written in My or Pine. It uses a leader-subscriber structure: the leader polls its positions,…
The document presents Python examples of buy-side and sell-side iceberg execution. An iceberg order divides a larger target into smaller limit orders, placing them in relation to the current bid or ask and a configured price depth. The scripts track account…
This installment designs the receiving side of a trade synchronization system. It explains how to pause copying through a strategy control and require a password to resume, and how to set a fixed order quantity or scale the quantity received in each signal.…
This first-person account follows a beginner’s attempts to automate cryptocurrency trading, from configuring a third-party spot bot to using charting-platform signals for leveraged futures. The author describes being caught in altcoin losses after a broad…
This article describes changes to an AI driven crypto trading workflow after users reported slow exits, no learning from past trades, a bias toward long positions, and repeated losses. The proposed architecture separates minute level strategy decisions from…
This practical note compares exit rules used in an AI-assisted crypto rotation strategy that screens liquid coins, scores trends with moving averages, generates signals using technical and news inputs, and monitors positions frequently. It describes trailing…
This article presents behavioral and portfolio guidelines for cryptocurrency traders: risk only funds they can afford to lose, diversify, research assets independently, plan profit-taking and stop losses, and review mistakes. It also advises tracking…
This article explains the account-balancing and polling logic of a cryptocurrency high-frequency strategy. It tracks cash and coin balances, estimates portfolio value using the best bid, and measures the coin’s share of total account value. When that share…
This article presents a simple futures copy-trading bot that monitors a reference account’s long and short position amounts and mirrors their changes in follower accounts. Because futures positions have direction and contract-specific details, it tracks long…
This guide explains why stop losses matter and surveys several ways to set them: around support or resistance, at a fixed price or loss limit, as a trailing level, after a time or price retracement, and using technical signals or account risk limits. It then…
This article outlines a framework for copying positions from one leader account to multiple follower accounts and products. It uses a leader-subscriber design: the leader tracks its positions, detects additions, removals, or size changes, then notifies…
This strategy shorts high-gaining Binance USDT perpetual contracts, screening for coins that may be near a reversal. It gathers open interest, funding, market capitalization, and daily candle data, then applies hard exclusions and an AI model’s weighted…