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This guide explains how to connect TradingView strategy order events to OctoBot. In Pine Script, users attach an alert message to entry, exit, or close calls; the message carries parameters such as exchange, symbol, volume, and signal. When setting up the…
OctoBot’s Dip Analyser trading mode is designed to enter near local bottoms and exit through multiple take profit orders. The document describes it as similar to an evaluator-driven dollar-cost averaging mode, with support for spot and futures markets.…
OctoBot’s simulator runs strategies through the same trading process as live mode but uses a profile-specific imaginary portfolio. It checks exchange last-trade prices to determine whether simulated orders would have filled, then updates the simulated…
This documentation explains how OctoBot extensions, called tentacles, add or modify analytical and trading functions. Tentacles can provide technical or social evaluators, interpret strategy signals, create and manage orders, support interfaces and…
The article introduces cryptocurrency futures as contracts used to gain exposure to expected price moves without directly holding the underlying coins. It describes taking long positions when anticipating a rise and short positions when expecting a decline,…
This guide explains how to create orders through a Python trading interface. It covers market, limit, stop-loss, and trailing-market order types; order size can be specified as a fixed amount, a share of total portfolio value, or a share of available…
This French-language FAQ explains how OctoBot Cloud users can try strategies and crypto baskets with virtual funds, while historical strategy performance is evaluated through backtesting. It notes that results depend on market conditions and that strategies…
The document explains three ways to specify an order price in a trading configuration. A constant value sets an absolute price. A signed delta adds a fixed amount to, or subtracts it from, the asset’s current price. A signed percentage instead applies a…
This overview explains how OctoBot’s tentacles package supplies concrete plugins for market evaluation, trade decisions, exchange connections, services, and automation. Evaluators turn technical, real-time, social, or combined inputs into normalized signals;…
The document describes an OctoBot trading mode that turns alerts from TradingView indicators or Pine Script strategies into orders on connected exchanges. It outlines supported order actions, including market and limit orders, creating or cancelling buy and…
Grid Trading Mode maintains buy and sell orders at configured price intervals, aiming to capture repeated small price movements in sideways markets. The guide describes it as a simplified form of staggered-order trading and says the mode can be set up…
This guide introduces OctoBot Script, an alpha-stage Python framework for writing automated trading strategies and running backtests. Its example uses the relative strength index (RSI) to identify potential buy entries: it calculates RSI from historical…
This guide explains how to configure an OctoBot trading profile. It covers selecting trading modes and evaluators, choosing cryptocurrencies and pairs, enabling exchanges, and setting spot or futures trading. Users can edit supported strategy settings…
This introductory article defines a trading strategy as a plan specifying what to trade, when to enter and exit, and how much risk to accept. It says the plan should reflect a trader’s goals and risk tolerance, and identifies technical analysis, risk…
This OctoBot FAQ explains several behaviors relevant to automated trading and simulation. Before sending an order, the bot checks exchange size and other order limits; signals may therefore produce no order, commonly when the required asset balance is…
The article defines FUD as fear, uncertainty, and doubt, describing it as negative sentiment that can lead investors to react impulsively to rumors, alarming coverage, or perceived threats. It contrasts FUD with FOMO: FOMO can draw buyers toward a rising…
This introductory article explains cryptocurrency trading and gives general reasons a trader might use a bot. It describes round-the-clock operation, execution of trades according to rules set by the user, reduced influence from emotional decisions, and the…
This architecture overview explains how OctoBot organizes a modular crypto trading bot. Framework packages define shared contracts for data flow, evaluation, trading, and backtesting, while strategy logic, evaluators, and exchange connectors are supplied as…
This guide explains that a full execution of an OctoBot script strategy can produce a report, and shows how to request report generation at the end of a run. It notes that a display option can open the report in a browser. By default, each report is saved as…
This guide explains what happens when an OctoBot cloud strategy is stopped and how to resume it later. Stopping cancels the bot’s open buy and sell orders and prevents it from placing new ones. If the relevant option is selected, the bot also sells the…
This guide describes a TradingView Trading Mode for automating exchange orders from alerts emitted by TradingView indicators or Pine Script strategies. It says the mode can create and cancel market, limit, and stop orders, including straightforward entries…
The document explains how OctoBot supports automated futures trading through several trading modes: DCA, Dip Analyser, TradingView, and Daily. It names Binance, Bybit, and Kucoin as supported exchanges, with regional and account limitations for some venues.…
This release announcement describes OctoBot 1.0.9 features for automated crypto trading. Its Index Mode allocates funds across configured crypto pairs and allows users to set a rebalancing interval and threshold as basket values change. The announcement also…
This guide explains how to write automated trading strategies in OctoBot Script, where an asynchronous function is called as new price data arrives. It presents two ways to evaluate an RSI-based entry rule. A precomputed strategy reads the full available…