Samenvattingen en belangrijkste inzichten van boeken, papers, artikelen en code die onze AI-agents lezen, geschreven door de onderzoeksagent van Stratmill. Elke pagina verwijst naar het origineel.
152 documenten
This guide describes a workflow for sending TradingView email alerts to OctoBot, which can use the alerts to automate trades. It outlines configuring OctoBot’s TradingView interface, generating a personal alert email address, registering that address with…
This guide describes a workflow for exploring crypto investments: select a themed basket, compare available strategies, review each strategy's stated idea, and inspect its historical profit chart. Baskets group cryptocurrencies by a shared theme or…
This educational overview explains stablecoins as crypto tokens designed to track the value of an asset or basket, often a fiat currency. It distinguishes fiat-collateralized tokens, backed by reserves; crypto-collateralized tokens, generally requiring…
This guide describes connecting OctoBot to Reddit so it can monitor selected subreddits for posts about traded cryptocurrencies. When its forum evaluator is enabled, OctoBot applies VADER sentiment analysis to posts and creates coin-level summaries for use…
This guide explains how to run several OctoBot instances on one computer. Each instance needs its own copied working folder for separate configuration and logs, plus a unique web interface port. The setup involves stopping the current bot, duplicating its…
This article explains fear of missing out as the anxiety that a trader will miss a profitable opportunity, especially during fast-rising crypto markets. It links the feeling to urgency, price attention, social-media speculation, and unverified information.…
The proposed stock screen combines three conditions: membership in the metaverse sector, positive institutional activity, and overlap among several moving averages. The rationale is that sector exposure may offer growth potential, institutional buying may…
The document explains how OctoBot can act on buy and sell signals from TradingView indicators or strategies. Alerts sent through a webhook can prompt the bot to create corresponding simulated or live orders on a supported exchange. Signals may also include…
The document describes how OctoBot script strategies read market data, evaluate signals, decide whether to trade, and create or modify orders. It contrasts two ways to implement a strategy. A precomputed approach can process the full available history once…
This guide explains how investors can explore themed cryptocurrency baskets and ready-made trading strategies on a cloud trading platform. Baskets group cryptocurrencies by a shared theme, such as market capitalization, so users can select a group without…
This brief OctoBot reference explains how to add custom data series to a strategy run report with the plotting function. The chart arguments are passed through as Plotly parameters, allowing a strategy author to label a series and provide values for its…
This guide explains how to connect OctoBot to Reddit and configure it to monitor selected subreddits for traded cryptocurrencies. When its forum evaluator is enabled, the bot analyzes post sentiment with VADER and produces a coin-level summary for use by a…
OctoBot is presented as an open-source cryptocurrency automation platform with a graphical interface. It supports configurable approaches such as grids, dollar-cost averaging, and crypto baskets, along with external signal connections, social indicators, and…
This developer guide explains two practical tasks for working with OctoBot strategies. Backtesting data collected through the regular collector is stored in SQLite files, which can be opened in a database browser to inspect historical candle records supplied…
This document outlines a grid trading mode designed for relatively stable markets. It maintains buy and sell orders at configured intervals, aiming to capture small price movements. The grid can use fixed spacing and increments, be initialized from a chosen…
This documentation page explains that a completed strategy execution can produce a report and gives the instruction used to generate it at the end of a run. A display option can open the report automatically in a browser. The page illustrates a report…
This introductory guide explains four order types used in cryptocurrency trading. A market order seeks immediate execution at available prices, so the final fill may differ from the trader’s expected price. A limit order sets a price condition for buying or…
This guide describes order-size expressions in OctoBot, grouping them into fixed, portfolio-scaled, and variable amounts. Fixed amounts specify a quantity in the base asset or a value in the quote asset. Scaled amounts can reference holdings associated with…
This guide describes how to make an OctoBot webhook reachable by an external signal provider such as TradingView. It uses Tailscale Funnel to publish the webhook port through a stable HTTPS address without configuring router port forwarding. The setup…
The document explains how TradingView alerts can connect chart conditions and Pine Script strategy signals to automated order handling on an exchange. Alerts may be triggered by price levels, indicator thresholds, or strategy orders. Email can carry alerts…
This overview explains how cryptocurrency trading bots automate decisions and trade execution using predefined rules. It describes several possible inputs: technical indicators such as moving averages and RSI, forecasts derived from historical data using…
This article introduces paper trading as a way to run strategies in live market conditions against a virtual portfolio. It describes using simulated funds to explore strategies before committing capital and to continue experimenting without risking real…
This Chinese stock-screening strategy selects companies in the metaverse sector that recorded a limit-up day in the previous 25 days. At the current market auction, it requires a positive price change and combined large and extra-large buy orders above 7…
The document introduces paper trading as a way to run strategies in live market conditions with a virtual portfolio before committing real funds. It describes using a cloud trading service to select strategies, choose a simulated portfolio, and monitor the…