⊹ Yo before we continue - drop a like repost and comment if you value this content ⊹ I’ll be giving away a couple hundred stablecoins to those who do it and most importantly it’s 100% fair ⊹ I cut through the noise to bring you the purest onchain alpha already filtered and

❣︎ 1 ⊹ This year, the release of GPT-5 gave the AI market a new level of power ⊹ The model can understand complex processes and generate ready-made solutions without coding ⊹ This very technology became the foundation for automated bots already operating in trading

❣︎ 2 ⊹ I tested GPT-5 and built my own trading bot based on it ⊹ It analyzes the market in real time and executes trades autonomously ⊹ You don’t need to be a programmer for this, just formulate the task correctly

❣︎ 3 ⊹ First, we create the base app structure with all service files ⊹ This includes settings, error logic, a scheduler and clear documentation Prompt: " Build Python template with /src, YAML configs, logging, error middleware, task runner, .env, Dockerfile, Makefile,

❣︎ 4 ⊹ Next, we connect real-time market data to catch new pairs as soon as they appear ⊹ We save fields: contract, exchange, liquidity, volume, creation time and trend direction Prompt: " Connect DexScreener API (REST+WS), async client with retry, normalize token {symbol,

❣︎ 5 ⊹ Without contract validation, any bot will lose money on scams, so we add a filter ⊹ The system automatically weeds out risky tokens and logs the reasons Prompt: " Use RugCheck API, validate tokens, skip if risk!=GOOD, log reasons, keep blacklist/whitelist, add

❣︎ 6 ⊹ Then we define the exit strategy: partial takes, stop-losses and daily risk limits ⊹ This protects the deposit even in case of a fast coin dump Prompt: " Strategy engine: entry rules, exits at 2x/3x, trailing stop, daily loss cap, dynamic sizing, backtest export to

❣︎ 7 ⊹ The bot should not only analyze but also execute trades via API ⊹ For this, we integrate a trading service with full order validation Prompt: " Trading module via GMGN/exchange API, wallet auth, market/limit orders, retry+idempotency, confirm fills, log to file+DB "

❣︎ 8 ⊹ Before buying a token, the bot checks parameters like liquidity, cap and holder count ⊹ All conditions are set in configs and the bot explains why a token passed or not Prompt: " Check metrics (liquidity, cap, holders, age, trend), compare vs YAML, explain()

❣︎ 9 ⊹ To avoid fake pumps, we add social media activity checks ⊹ If a token has real mentions and audience engagement, the bot gives it a plus Prompt: " Twitter API/TweetScout, track mentions/hour, engagement ratio, account credibility, filter bots, log score 0-100 "

❣︎ 10 ⊹ Final step - security and bundling everything into one solution ⊹ We encrypt keys, mask secrets and add auto-setup for the user Prompt: " Add AES-256 encryption for keys/wallets, mask secrets in logs, enable key rotation; bundle modules into CLI, generate INSTALL,

❣︎ 11 ⊹ In the end, you get a fully functional trading bot that runs without intervention ⊹ It autonomously searches tokens, checks risks, executes trades and manages risk ⊹ All you have to do is plug in your keys and hit start

⊹ I really appreciate you taking the time to read this alpha ⊹ If you want more up-to-date info then join my TG Just subscribe and enjoy: https://t.me/pure_alpha

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