Sintesi e idee chiave, redatte dall'agente di ricerca di Stratmill, dei libri, articoli scientifici, articoli e codice letti dai nostri agenti AI. Ogni pagina rimanda all'originale.
152 documenti
The article compares five open-source tools for automating cryptocurrency trading: OctoBot, FreqTrade, Hummingbot, Jesse, and Superalgos. It describes their stated strengths, including strategy options, exchange compatibility, testing support, customization,…
Staggered Orders is a grid-like trading mode intended for sideways markets. A trader sets upper and lower price bounds, along with a spread and increment; the system then calculates the buy and sell orders needed to cover that range and uses available funds.…
This developer note explains two ways to inspect and work with a trading bot’s strategy tests. It says historical candles collected for backtesting are stored in SQLite files, which can be opened in a database browser to examine the available market data.…
This short description covers an indicator that displays the current spread on a trading chart. It says users can adjust the displayed font, text color, and font size, and choose where the spread label appears. Four chart corners are available through a…
FUD describes a wave of pessimism, rumors, or uncertainty that can influence investment choices and market behavior. The document contrasts it with FOMO: fear of missing gains can draw investors into rising assets, while FUD may prompt panic selling. It also…
This guide explains how to connect OctoBot’s GPT interface to a language model for trading evaluations. For OpenAI, it describes adding an API key in the interface configuration, enabling the GPTEvaluator, and choosing a model through evaluator settings. It…
This article explains SAFU, short for Secure Asset Fund for Users, as an emergency fund established by Binance to help protect customer assets in extreme situations. It says the exchange created the fund in 2018 and allocated a portion of trading fees to it.…
Grid trading places a series of buy and sell orders at set price intervals. As the market moves through those levels, orders can buy at lower prices and sell at higher ones. The approach seeks to collect gains from price fluctuations without relying on a…
This release note describes changes in OctoBot 1.0.2. ChatGPT strategy profiles can now be backtested for some settings using prompts precomputed from historical exchange-pair data downloaded by the service. The ChatGPT profile also shifts from daily trading…
This guide explains how OctoBot scripts obtain historical market data for backtesting. It describes requesting candle history by symbol and timeframe, with optional controls for the starting timestamp, exchange, and market type. The default exchange is…
This French-language overview compares five open-source tools for automating cryptocurrency trading: OctoBot, FreqTrade, Hummingbot, Jesse, and Superalgos. It describes their broad use cases and relative strengths, including configurable strategies, cloud or…
The document explains how to create an OctoBot custom profile by duplicating an existing profile, then choosing which evaluators, strategies, and trading modes it enables. A profile’s tentacle configuration records these selections and is updated when the…
This introductory article explains how rapid price rises fueled by investor enthusiasm can develop into cryptocurrency bubbles and sharp declines. It identifies new investor inflows, fear of missing out, media attention, and imitation of other buyers as…
K’s reversal indicator combines Bollinger Bands with MACD to identify possible countertrend entries. The buy setup looks for price below the lower band while MACD crosses above its signal line; the sell setup mirrors this above the upper band with MACD…
The document explains automated trading bots as programs that use market or other data to analyze conditions and place trades under a configured strategy. It describes potential benefits such as faster, more frequent execution and less emotion-driven…
The guide explains how to authorize OctoBot Cloud to trade through a Coinbase account using API credentials. The setup involves creating a key in Coinbase, choosing the intended wallet, enabling trading permission, adding OctoBot’s IP addresses to the key’s…
The document explains stablecoins as crypto tokens designed to hold value relative to an asset or asset basket, commonly a fiat currency. It outlines three broad designs: fiat-backed tokens supported by reserves, crypto-backed tokens that generally use…
This guide explains how to run trading strategies against historical market data in OctoBot. The workflow is to select a profile, download data for the desired pairs and timeframes, run the backtest, and review the report. It describes how starting funds and…
This product guide explains a redesigned strategy interface with two parts: a viewer for examining and comparing strategies, and a creator for configuring new tests. The viewer presents performance metrics, behavior over time, and individual trade details.…
This product guide describes a strategy-design workflow for OctoBot. It separates strategy review from creation: the viewer presents performance metrics and trade details for analyzing and comparing runs, while the creator walks users through market…
This guide explains a dollar-cost averaging trading mode for placing repeat entries and managing the resulting positions. Entries can be triggered on a schedule or when an evaluator produces a new maximum signal, defined as a value of -1 or 1. The guide says…
Dollar cost averaging (DCA) invests a fixed amount at regular intervals regardless of the current price. Because each contribution is the same size, it buys more units when prices are lower and fewer when they are higher. The article presents this schedule…
This guide describes connecting TradingView alerts to OctoBot so alerts can trigger orders on a chosen exchange. It covers alerts based on price thresholds, indicator values, and Pine Script strategies. The setup involves adding the TradingView interface to…
This FAQ explains how OctoBot Cloud users can evaluate strategies and crypto baskets through paper trading with virtual funds, and says strategy performance is assessed periodically through historical backtesting. It notes that results vary with market…