The Mathematics of Compounding and Why Small Edges Matter
A 1% edge per trade seems insignificant in isolation. Over hundreds of trades, it separates professional from amateur outcomes through the relentless mechanics of compound growth.
Market analysis, product updates, and trading strategies from the Blockcircle team.
A 1% edge per trade seems insignificant in isolation. Over hundreds of trades, it separates professional from amateur outcomes through the relentless mechanics of compound growth.
Testing a crypto strategy on today's top coins bakes in survivorship. Here is how I reconstruct what was actually tradeable on each rebalance date, dead tokens and all.
Price touched your level and you still did not get filled. A plain walk through price-time priority, queue position, and partial fills, with a checklist for pricing limit orders to match how badly you need the trade.
Your portfolio has never been through the Global Financial Crisis, the 1987 crash, or the COVID sell-off in its current form. Stress testing tells you what would have happened if it had been.
Markets do not behave the same way in all economic environments. Identifying the current regime using macro data helps you deploy the right strategy at the right time.
Most traders decide entries with care and exits on vibes. Here is how measured moves, structure, and R multiples actually differ, and how to match one to your setup.
Crypto runs three to four times equity volatility, so a 10 percent sleeve carries the risk of a 40 percent stock position. Here is how I size the allocation from drawdown tolerance instead of conviction.
Sequencer revenue minus data availability cost is the real business of a rollup. Here is how to model what the token would be worth if that margin ever reached holders.
The relationship between short-term and long-term implied volatility reveals market expectations about the persistence and direction of uncertainty. The shape of this curve changes at meaningful inflection points.
A risk budget allocates your total acceptable risk across positions and strategies, ensuring that no single bet can damage the portfolio beyond recovery. It is the framework that prevents overconcentration.
A trading bot rarely dies with a stack trace. It quietly drifts, and by the time you notice, the money is gone. Here are seven ways automation fails in production and how to catch each one.