Breaking

16-Minute Claude Tutorial for Building a Trading Bot Spreads

July 11, 2026 at 06:15 EDT

AI Agents
Software Dev & Coding
Finance

A roughly 16-minute tutorial showing how to build, refine, backtest and run a trading bot from scratch using Anthropic's AI model Claude has been shared and is spreading among developers. The video walks through creating strategy rules, coding them in TradingView's Pine Script, refining the strategy, building a second strategy, tips for improving profitability, testing on NASDAQ, and finally live execution. Its creator claims a return of +$168,236 from a bot built with Claude.

Claude Code · Algorithmic Trading

Building Trading Bots From Scratch With Claude — In Minutes, Not Months

A ~16-minute tutorial showing how to design, code, backtest and run a trading bot with Anthropic's Claude is spreading among developers. Agentic coding lowers the barrier to algorithmic trading — but the eye-catching returns are self-reported and largely unverified.

+$168,236

Claimed return from a Claude + Pine Script bot, tested on NASDAQ

~16 min

Length of the walkthrough — most tutorials run 10–34 min and are free

24/7

Around-the-clock agents built by pairing Claude Code with broker APIs

Reported Results — Self-Reported, Limited Verification

Claimed earnings vary wildly across cases

$530,000

Polymarket bot
from $313 start

$168,236

Tutorial video
NASDAQ backtest

$2,000+/day

Daily-operation report
auto execution

Column heights are illustrative of relative scale; the Polymarket figure is a cumulative total, the daily report a per-day rate.

The Build Loop

Draft strategy rules

→

Code in Pine Script / Python

→

Backtest & paper trade

→

Refine & go live

Typical stack: TradingView Pine Script, Python with IBKR / Alpaca APIs, Telegram alerts, historical backtesting and paper trading before any real funds.

Supporters

Emotion-free, rule-based execution
Many strategies backtested in parallel at high speed
Lowers barrier for non-programmers

Critics

Generated code often has errors Claude itself flags
Backtests tend to overfit to historical data
Live trading carries substantial loss risk

"Not plug and play." It takes patience and iteration.

The tools lower entry barriers, but profitability depends on the strategy — not on the AI. There is no get-rich-quick shortcut, and risk management in live operation remains the decisive challenge ahead.

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