OctoBot

Connect OctoBot to a news-feed API or use the built-in AI sentiment module.

Configure the bot to buy when sentiment score for BTC exceeds 80%.

Set an automated sell trigger when sentiment drops below 40%.

Create a strategy on TradingView and set a Webhook URL provided by OctoBot.

Format the alert message as a JSON payload specifying 'side' and 'volume'.

OctoBot receives the alert and immediately places a market or limit order on the connected exchange.

Select the 'Grid Trading' strategy in OctoBot.

Define the upper and lower price bounds for a specific pair (e.g., ETH/USDT).

The bot automatically places a 'grid' of orders to capture small price swings.

Set up a DCA bot to purchase $100 of SOL every Tuesday at 2 AM.

Enable the 'Price Drop' filter so it only buys if the price is below the 24-hour average.

Automate the transfer of profits to a stablecoin wallet.

Connect two exchanges (e.g., Binance and KuCoin) to OctoBot.

Enable the arbitrage plugin to monitor price deltas for top 10 assets.

Execute simultaneous buy/sell orders when the delta exceeds 1%.

Set target allocations (e.g., 50% BTC, 30% ETH, 20% SOL).

OctoBot monitors deviations daily.

The bot automatically sells overperforming assets and buys underperforming ones to restore balance.

Write a custom strategy class in Python using the OctoBot framework.

Import custom libraries like Pandas or Scikit-learn for proprietary analysis.

Deploy the script to a self-hosted OctoBot instance via Docker.