quant
14 articles on quant.
funding-rates · perpetuals · data-study
The Funding Rate Almanac: What Five Years of Perp Carry Actually PaidWe took every settlement-level funding print in our market database — 80,000 of them across Binance, Hyperliquid, and KuCoin since 2019 — and measured what collecting perp funding actually paid. The answer: a real but violently regime-dependent yield, and a persistent cross-venue gap that most carry traders are leaving on the table.
The Fluxy Team ·
risk-management · volatility-targeting · position-sizing
Volatility Targeting in Crypto: Position Sizing That Respects the RegimeA fixed 1-BTC position is not one risk — it's five different risks depending on the month. Volatility targeting inverts the question: decide how much risk you want, then let position size float to deliver it. In a market where vol swings 5x, it's less an optimization than a survival trait.
The Fluxy Team ·
backtesting · survivorship-bias · delistings
Survivorship Bias in Crypto Backtests: The Coins That Aren't There AnymoreBuild your universe from today's listings and you've quietly deleted every coin that died — which means your backtest only ever trades the winners. In crypto, where delisting is routine and drawdowns end at zero, survivorship bias isn't a footnote. It's often the whole edge.
The Fluxy Team ·
backtesting · walk-forward · out-of-sample
Walk-Forward Analysis in Crypto: Making Out-of-Sample Mean SomethingEvery parameter sweep produces one combination that looks brilliant — and most of them are brilliant only at describing the past. Walk-forward analysis is the discipline that separates a strategy from a coincidence: tune on one window, judge on the next, and only ever trust the windows the strategy never saw.
The Fluxy Team ·
developer-experience · editor · monaco
An Editor That Writes Itself: Autocomplete Derived Straight From the EngineA strategy editor whose autocomplete drifts from the engine is worse than no autocomplete — it confidently suggests methods that don't exist. Ours introspects the real source at startup, so the surface you're offered is exactly the surface that runs — every deploy refreshes the editor automatically. Add a method with one decorator and it appears in the editor; no frontend change.
The Fluxy Team ·
ai · llm · code-generation
From Prompt to Validated Strategy: AI That's Grounded in Your Real DataAn LLM that writes trading code from a one-line description is a parlor trick — unless it's grounded in the exact authoring API, the live dataset catalog, and real sample rows, and its output is validated against the same sandbox the engine uses, with an automatic repair round. Here's how we make AI-generated strategies that actually run.
The Fluxy Team ·
backtesting · metrics · sharpe
Reading a Backtest Honestly: Metrics That Don't FlatterIt's easy to compute a Sharpe ratio. It's harder to compute one that won't embarrass you in front of an allocator. Our metrics derive elapsed time from the calendar span (not the bar count), use textbook downside deviation, and ship a data-quality report alongside every result — because a number you can't defend is worse than no number.
The Fluxy Team ·
data-engineering · data-catalog · architecture
Logical Datasets, Not Raw Tables: The Catalog That Decouples Strategies From StorageCrypto data is a mess of inconsistent column names, symbol formats, and venue quirks. The dataset catalog maps a clean logical name — 'ohlcv', 'funding' — to a physical table plus a column map and point-in-time semantics, so a strategy says what it needs and never touches a raw table. Add a data source by adding a catalog row, not changing engine code.
The Fluxy Team ·
onboarding · templates · developer-experience
Start From Working Code: Templates That Solve the Blank-Editor ProblemThe hardest moment in any strategy platform is the empty editor and a blinking cursor. We seed it with real, runnable templates — EMA trend, Bollinger mean-reversion, momentum — each a complete Strategy you can backtest in one click and then make your own. Here's why starting from working code beats starting from a blank page, every time.
The Fluxy Team ·
research · productivity · quant
Speed Is Alpha: Why Research Velocity Quietly Compounds Into an EdgeTwo quants with equal talent, equal data, and equal ideas can end up worlds apart for one unglamorous reason: how fast they can test an idea and move to the next one. Research velocity isn't a convenience. It's a compounding advantage that, over months, separates the funds that find robust edges from the ones still waiting on yesterday's backtest. Here's why speed is its own kind of alpha.
The Fluxy Team ·
backtesting · optimization · parameter-sweep
3,125 Backtests Before Lunch: Parameter Sweeps with Parquet CachingResearch velocity is a competitive edge. A grid of five parameters across five values is 3,125 backtests — and on our engine the data for all of them is pulled once, cached as parquet, and reused. Here's how the sweep harness and the cache turn a coffee-break into a sensitivity study.
The Fluxy Team ·
backtesting · live-trading · execution
Same Code, Everywhere: From on_bar() Backtest to Live Cron in One EngineThe deadliest gap in systematic trading is between the code you backtested and the code that trades live. We close it by running the exact same engine in both — preflight in milliseconds, backtest in minutes, then schedule the identical strategy as a live signal runner with mandate execution and a dry-run safety net.
The Fluxy Team ·
backtesting · quant · data-engineering
No Look-Ahead by Construction: Killing the #1 Backtest LieMost backtests quietly leak the future into the past. Here's how our engine makes look-ahead bias structurally impossible — as-of joins on the bar clock, per-instrument freshness TTLs, and a leak-check attestation on every preview.
The Fluxy Team ·
backtesting · funding · perpetuals
Funding Carry Is a First-Class Citizen: Backtesting Perp Basis Without HacksIf your backtester ignores funding, every carry, basis, and delta-neutral strategy you test is a fiction. Our engine charges funding at each venue's real settlement times, on live mark notional — so a Binance 8h feed and a Hyperliquid 1h feed are both charged correctly in the same study.
The Fluxy Team ·