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Algo Development

sector rotation algo - implementation with relative strength scoring
been working on a sector rotation algo. concept: own the strongest sectors, short the weakest. simple in theory. complex in implementation. the core idea # sectors rotate in predictable cycles.
earnings volatility filter - implementation and early results
been running the earnings volatility filter for a week now. early results are promising. the problem # earnings = binary events. stock moves 5-10% or nothing.
crypto momentum algo - btc breakout strategy implementation
BTC broke out of 3-month range today. my momentum algo caught it. time to document the implementation. the context # BTC been consolidating between $25,000 and $28,000 since june.
mean reversion implementation - statistical edge in practice
finally deploying the mean reversion algo I’ve been backtesting since june. 6 months of development. time to go live. the edge # simple concept: prices that deviate from their mean tend to revert.
fall volatility algo adaptation - regime detection update
first real trading days since vacation. volatility already picking up. VIX hit 16.2 today. time to adapt. the seasonal shift # summer algo settings don’t work in fall.
earnings volatility - how my algos adapt to quarterly chaos
earnings week chaos. GOOGL, TSLA, META all this week. how my algos handle it. the earnings problem # normal day: VIX 15, predictable ranges, clean signals
order flow analysis - adapting strategies for summer thin volume
summer volume creates different market microstructure. adapting order flow analysis to account for it. the summer volume problem # normal month volume: 4.2M SPX options contracts/day
position sizing with kelly criterion - python implementation
rebuilt my position sizing engine last weekend. kelly criterion with practical modifications. the problem # old approach: fixed 2% risk per trade.
regime detection filter - why it failed march, python implementation fix
march disaster taught lesson. regime detection lagged. cost $6,690 before pausing. fixing implementation. what went wrong # my current filter:
adaptive position sizing - regime-based approach
position sizing makes or breaks algo trading. been refining adaptive approach last 6 months. finally working consistently. the problem with static sizing # most algo traders: