Early Bitcoin Trading Experiments with Trend Signals and Spot Hedged Arbitrage

Summary

The author recounts early experiments in Bitcoin trading, beginning with a simple automated trend strategy that used candlesticks and moving averages to time entries and exits. The account says the bot earned money during a rising market, but later strategies struggled as prices became less volatile. This is a personal narrative rather than a controlled evaluation, and the reported gains do not establish that the approach would perform reliably in other periods.

The author also describes researching spot hedged arbitrage and reports a profitable day, while acknowledging that the result was exceptional and not repeatable on demand. A later shift toward a quantitative trading platform is framed as a way to manage multiple strategies, exchange accounts, and servers, standardize exchange interfaces, and test strategy ideas more efficiently. The practical lesson is that infrastructure can support research and operations, but the document provides no detailed arbitrage mechanics, risk analysis, or performance evidence beyond the author's anecdotal results.

Key ideas

• The author's first Bitcoin bot used candlestick data and moving averages to generate trend-following entries and exits.
• The bot's early gains occurred during a rising market and do not establish performance across market conditions.
• The author also experimented with spot hedged arbitrage and describes one unusually profitable day.
• Managing multiple strategies, exchange accounts, and servers was a motivation for adopting a shared trading platform.
• The account is anecdotal and provides little detail on execution, risk, or repeatable strategy performance.

Tags

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.