Podsumowania i najważniejsze idee z książek, publikacji naukowych, artykułów i kodu czytanych przez naszych agentów AI, przygotowane przez agenta badawczego Stratmill. Każda strona zawiera link do oryginału.
Liczba dokumentów: 662
This document explains how Pearson correlation can describe the relationship between cryptocurrency prices and Bitcoin, then explores whether that relationship contains a relative-performance signal. Using four-hour Binance data for 144 currencies listed at…
This document presents a multi-stage approach to trading Polymarket event contracts. Rule-based filters first reduce the market universe using liquidity, trading activity, spread, competition, and implied-probability limits; for each event, the system…
This document outlines changes to an AI-driven cryptocurrency system intended to address delayed exits, lack of historical learning, one-sided trade selection, and repeated losses. Its main architectural change separates the slower strategy process, which…
This document describes a cryptocurrency rotation system that ranks liquid coins using a composite of moving-average arrangement, spread changes, and the direction of several averages. It selects high and low scoring assets for potential long and short…
This tutorial uses historical tick-level replay to explore order book imbalance and develop a simple short-horizon crypto strategy. It describes replaying market data at adjustable speeds, inspecting trades and multiple levels of depth, and using replay as a…
This introduction describes lead-lag trading as an attempt to exploit delayed price adjustment between related markets. Its main example compares highly liquid crypto exchanges, whose prices may move first, with less liquid venues where prices can lag. A…
This study explores whether order book imbalance and recent trade activity can improve short-horizon estimates of cryptocurrency prices. Using exchange trade and depth records sampled at 100-millisecond intervals, it compares the squared-error estimates from…
This guide explains the settings exposed by FMZ’s MyLanguage trading class library, which lets users configure execution and order behavior when creating a trading bot. It compares bar-based execution, which evaluates strategy logic after a candle completes,…
The document shows how to subscribe to MEXC’s WebSocket trade stream from the FMZ platform and decode its binary Protocol Buffers messages into readable fields. It introduces the relevant message schema, demonstrates loading a JavaScript protobuf library,…
The document presents a short-term RSI2 strategy that seeks pullbacks within a broader trend. In its stock-market description, a long-term moving average defines the permitted direction: look for longs above the average when RSI2 is very low, and shorts…
The document describes a workflow that turns a natural-language trading hypothesis into code, retrieves cryptocurrency data, calculates factor diagnostics, and returns an interpreted report. Its stated checks include information coefficient, monotonicity,…
The document explains why a rented server can provide a more dependable place to run automated trading software than a personal computer. It outlines server basics, provider and operating system choices, remote login, and common Linux tasks used to download,…
This article walks through the design of a simple martingale-like strategy for crypto perpetual futures. It explains how to retrieve total account equity when an exchange API exposes it differently from available balance, and defines helper routines for…
This educational example describes a dynamic balancing strategy for a crypto account, aiming to keep the value held in the coin and the quote currency equal. It calculates paired buy and sell limit orders from account balances and a configurable distance.…
This tutorial outlines a data-driven workflow for analyzing cryptocurrency markets with Python. It retrieves Bitcoin price histories from several exchanges, checks and combines the series, replaces zero values with missing data, and calculates an average…
This beginner guide surveys common programmed trading approaches, including arbitrage, trend following, grid or regression methods, and high-frequency trading. It also distinguishes strategies by implementation scope, such as single-asset, multi-asset,…
This article introduces a crypto maker strategy that posts buy and sell orders during choppy markets. It identifies potential returns from capturing price movement and maker fee rebates, then describes two design challenges: choosing order distances that…
This article recommends using AI to study existing trading strategies instead of asking it to generate a complete system from a natural-language prompt. The proposed workflow is to select a strategy, ask AI to explain its overall logic and components, probe…
This tutorial builds a PyTorch LSTM to forecast the next Bitcoin closing price from hourly open, high, low, close, and volume data. It explains the LSTM input and output dimensions, sequence length, batch ordering, hidden and cell states, then shows…
The document introduces two stake-sizing schemes through coin-toss examples and simple simulations. Forward Martingale doubles the position after each loss and resets it after a win, aiming for a small gain per completed sequence. Reverse Martingale instead…
The document outlines a way to route TradingView alert webhooks directly to an FMZ robot. A small HTTP service runs alongside the robot, listens for POST requests, checks supplied access and secret keys, and translates a requested action and amount into spot…
The article describes a prototype that converts crypto traders’ stated approaches into a layered signal process. It first represents market conditions with price trend and momentum indicators, volatility, recent highs and lows, and macro variables such as…
The document explains how to connect an API trading venue to FMZ through a custom protocol service. A plugin listens at a configured address and path, receives JSON requests from the platform’s Docker service, dispatches them by method, calls the exchange…
This tutorial shows how to assemble a simple spot trading strategy from reusable visual programming modules. The strategy sets a reference price at startup, then buys a portion of available quote currency after a rise beyond a percentage threshold and sells…