1:04Transcript
Claude Trading Strategies: I Tested SPY Timing Against Buy-and-Hold
Connect Claude to NexusTrade with MCP and compare an SPY 200-day moving-average backtest with buy-and-hold, including returns, drawdown and strategy rules.
NEXUSTRADE / VIDEOS
Shorts I filmed while building NexusTrade.
Every video has a transcript.
91 shorts · every one transcribed
1:04Transcript
Connect Claude to NexusTrade with MCP and compare an SPY 200-day moving-average backtest with buy-and-hold, including returns, drawdown and strategy rules.
2:17Transcript
Austin Starks fact-checks Ray Fu’s Jev AI trading pitch, challenging its 100ms HFT claim and asking for out-of-sample tests and evidence of better results.
1:17Transcript
Download public congressional trading disclosures and test ideas with a free Python SDK. Filings are delayed, so use the public disclosure date.
1:11Transcript
Reading a real flamegraph from a Rust backtesting engine: the fixes that halved a ten-minute options backtest, and the parallel loop that made it 73% slower.
1:25Transcript
Create a trading strategy in Cursor and deploy it to Alpaca through the NexusTrade MCP. The $13,805 book on screen is his existing Alpaca account.
1:39Transcript
The three steps an AI trading agent takes to pick trades: writing a deterministic rule, walk-forward testing it over four folds, and deploying it to paper or live.
1:22Transcript
One command connected Claude Code to my backtest data. The rule it kept turned $10,000 into $119,942 over 11 years, with a 59% worst drawdown.
1:41Transcript
A day trading strategy with 423,900 views, coded by an AI agent and backtested on a year of minute data. Tuned and charged zero fees, it still lost 2.40% out of sample while the index gained 1.02%.
1:26Transcript
My backtests took ten minutes. GPT-6 Astra profiled the Rust engine, cited a 2014 paper, and got the run down to 51 seconds on hardware I already owned.
1:24Transcript
Every rule, backtest, crash and bug behind my $25,000 AI trading account is public. Here is what the live book actually did.
1:13Transcript
How Parquet chunk statistics speed up options backtests, and how one copy on Tigris replaced seven duplicate disks and cut a $230 monthly bill to $34.
1:04Transcript
Why a vectorized Python backtest can show a fake equity curve: lookahead bias, position-dependent rules, and how an event-driven backtester avoids them.
0:14Transcript
See how an LLM, SEC filing retrieval and repair code work together to clean trading data, check results and retry in an agentic workflow before backtesting.