Writing the strategy was never the hard part. That’s the thing nobody tells you when you skip TradingView’s webhook and decide to build the whole automation stack in Python yourself. You already know pandas. You’ve written asyncio code that didn’t deadlock. Pine Script feels like a toy, and ccxt is right there, and the whole […]
There’s a whole genre of article on this platform now. Someone opens ChatGPT, describes a trading idea, gets Pine Script back, runs the Strategy Tester, and posts a screenshot of an equity curve going up and to the right. The comments fill with “does it still work?” Nobody answers, because the story always stops at
The first bot I ever paid for made money for eleven days. Then the market stopped doing the one thing the strategy was built around, and I discovered I couldn’t read the logic well enough to know whether to switch it off. I’d rented somebody else’s edge and had no way to audit it. That’s
I paid for a full month of a webhook relay before finding out it couldn’t see my account. The strategy was fine. The alerts fired. The tool was well built, fast, and exactly as advertised, and it still couldn’t place a single order for me, because the account I actually traded sat on a platform
TradingView doesn’t ship an official way to plug Claude AI into your charts. What exists instead is a small, fast-moving set of community-built MCP servers, and this guide walks through installing one. It’s the general setup path: stocks, crypto, forex, and futures all work the same way once the config is in place. You’ll learn
Two platforms both call themselves AI trading tools. They solve completely different problems, and picking the wrong one costs you a year of subscription fees plus the trades you never took. Trade Ideas Holly AI hands you finished signals. TrendSpider hands you a workshop. One tells you what to buy at 9:47 a.m. The other
Automated strategies fail for reasons a backtest can never show you: a webhook that silently drops, a stop placed on the wrong side of a bracket order, a session filter that ignores daylight saving time. Backtested returns commonly shrink 20% to 50% once slippage, execution costs, and real order flow enter the picture. A paper
Getting a prop firm to approve your payout feels like the finish line. It isn’t. The moment that money lands in your account, tax authorities in five different regions have five different opinions about how much of it belongs to them, and none of those opinions match. Prop firm payout taxes aren’t a footnote to
Rithmic connection errors almost never mean Rithmic itself is down. I’ve spent years connecting TradingView alerts to Rithmic-based accounts through PickMyTrade. In that time, the overwhelming majority of “Logon Failed,” “No Handle,” and “Market Data Connection Failed” messages have traced back to five fixable causes on the user’s side. Rarely is it an outage on
Every algo trader has shipped a strategy that looked perfect in a spreadsheet, then fell apart the moment real money touched it. That gap between “backtested well” and “actually works” is exactly what a good backtesting platform should close. In 2026, three ai backtesting tools keep coming up in that conversation: QuantConnect, Backtrader, and TrendSpider.
