The Funding Rate Almanac: What Five Years of Perp Carry Actually Paid

funding-rates · perpetuals · data-study

We 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 · 31 Aug 2026 · 4 min

non-custodial · security · education

After every exchange collapse, the same lesson gets re-learned at terrible expense: the risk wasn't the trading, it was the custody. 'Non-custodial' automation means your capital never leaves your own exchange account — and knowing how to verify that claim is the first skill of automated trading.

The Fluxy Team · 31 Aug 2026 · 3 min

security · api-keys · exchanges

The single most important checkbox in automated trading is the one you leave unticked: withdrawals. A properly scoped API key lets a bot trade your account but never move a coin out of it — which converts the worst case from 'funds gone' to 'bad trades you can see and stop.'

The Fluxy Team · 31 Aug 2026 · 3 min

risk-management · volatility-targeting · position-sizing

A 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 · 31 Aug 2026 · 3 min

backtesting · survivorship-bias · delistings

Build 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 · 31 Aug 2026 · 3 min

backtesting · walk-forward · out-of-sample

Every 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 · 31 Aug 2026 · 4 min

backtesting · funding · perpetuals

If 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 · 15 Jul 2026 · 6 min

developer-experience · editor · monaco

A 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 · 19 Jul 2026 · 4 min

ai · llm · code-generation

An 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 · 20 Jul 2026 · 4 min

backtesting · metrics · sharpe

It'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 · 22 Jul 2026 · 5 min

security · sandbox · platform

A platform that lets users write Python and run it on your infrastructure has a hard problem: that Python could try to escape. Here's the layered sandbox — save-time AST validation, restricted builtins, an allowlisted importer — that lets quants write real code without handing them the keys to the monorepo.

The Fluxy Team · 18 Jul 2026 · 5 min

data-engineering · data-catalog · architecture

Crypto 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 · 21 Jul 2026 · 5 min

fund-operations · nav · investor-accounting

A profitable strategy is half a fund. The other half is investor accounting that doesn't drift: unitized NAV-per-unit, pro-rata P&L, management and performance fees with a high-water mark, and a compliance-grade execution audit trail. Here's the accounting engine that turns a strategy into a vehicle you can take outside capital into.

The Fluxy Team · 17 Jul 2026 · 6 min

risk · safety · live-trading

Between a strategy's signal and a real order sits the most important code in the system: the guardrails. A NaN price, an over-leveraged book, a strategy throwing errors run after run — each is a path to ruin, and each is blocked before it reaches the exchange. Here's the safety layer that validates every signal and auto-disables a misbehaving strategy.

The Fluxy Team · 25 Jul 2026 · 5 min

onboarding · templates · developer-experience

The 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 · 27 Jul 2026 · 5 min

crypto-funds · infrastructure · fund-management

The tools built for equity funds quietly break on crypto. Markets that never close, funding payments that dwarf the spread, fragmented liquidity across a dozen venues, and data that arrives messy — these aren't edge cases, they're the terrain. A fund platform built for crypto from the ground up isn't a nice-to-have; it's the difference between a strategy that works on paper and one that works at 3am on a Sunday.

The Fluxy Team · 28 Jul 2026 · 4 min

execution · order-sizing · exchanges

A strategy says 'hold $1,000 of this'. The exchange says 'orders must be in increments of 0.001, at least 0.01 units, and worth at least $5'. Bridging those two sentences correctly — every time, for every venue — is the unglamorous last mile where naive execution engines silently drop trades. Here's the sizing logic that gets it right.

The Fluxy Team · 24 Jul 2026 · 5 min

emerging-managers · fund-management · career

Making money on your own account proves your edge. It doesn't prove you can run a fund. The gap between the two is everything that has nothing to do with trading — investor accounting, fair valuation, fee structures, audit trails, multi-account operations. Here's an honest map of the chasm, and why the operational half is the half that actually stops most people.

The Fluxy Team · 29 Jul 2026 · 4 min

security · exchanges · api-keys

Connecting a fund to an exchange means handing over API keys that can move money. Store them wrong and one breach empties every account. Our account layer encrypts every secret at rest, decrypts only at the moment of execution, and syncs live balances and positions into a unified portfolio view — so you can connect Binance, KuCoin, Hyperliquid, Bybit, Bitstamp, and Interactive Brokers without ever exposing a key.

The Fluxy Team · 26 Jul 2026 · 4 min

funding-rates · perpetuals · crypto

Every few hours, enormous sums change hands between longs and shorts on crypto perpetual futures. That flow is called funding, and it's one of the most distinctive sources of return in all of crypto — a yield with no equivalent in traditional markets. Here's what funding is, why it exists, and why a fund that ignores it is leaving a whole asset class of strategy on the table.

The Fluxy Team · 3 Aug 2026 · 4 min

emerging-managers · fund-operations · crypto-funds

Everyone tells you to find an edge. Almost nobody tells you what the day-to-day of actually running the fund requires. This is the checklist we wish existed when we started — the unglamorous operational machinery between 'I have a strategy' and 'I'm running other people's money', and what it takes to not get any of it wrong.

The Fluxy Team · 31 Jul 2026 · 5 min

portfolio-construction · diversification · multi-strategy

A single strategy, however good, is a single point of failure. Every edge decays, every approach has a regime it hates, and concentration that feels like conviction is often just risk you haven't named yet. Running several uncorrelated strategies as one book is how serious funds turn good ideas into a durable business. Here's the case, in plain terms.

The Fluxy Team · 1 Aug 2026 · 5 min

emerging-managers · fundraising · transparency

You can't out-pedigree the established funds. You don't have the brand, the AUM, or the twenty-year track record. But there's one thing you can offer that big, opaque funds structurally can't: radical transparency. For an emerging manager, being an open book isn't a weakness to hide — it's the single most powerful tool you have to win an allocator's trust.

The Fluxy Team · 4 Aug 2026 · 4 min

research · productivity · quant

Two 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 · 5 Aug 2026 · 5 min

fees · high-water-mark · investor-alignment

Fund fees have a reputation for being where managers quietly take more than they earned. They don't have to be. The high-water mark and the hurdle are elegant, century-old ideas that align a manager's payday with their investors' gains. Here's what they actually mean, why they matter, and why getting them exactly right is a trust decision, not an accounting detail.

The Fluxy Team · 2 Aug 2026 · 5 min

systematic-trading · discretionary · trading-psychology

Crypto is the hardest market in the world to trade on instinct: it's open every hour of every day, it's emotionally brutal, and it punishes the exact human reflexes that feel most natural. Systematic trading — rules written down, tested, and executed without a human in the moment — isn't about distrusting your judgment. It's about deploying it where it actually works and protecting it from where it doesn't.

The Fluxy Team · 6 Aug 2026 · 5 min

backtesting · optimization · parameter-sweep

Research 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 · 16 Jul 2026 · 5 min

fundraising · due-diligence · backtesting

A beautiful backtest is the easiest thing in finance to produce and the hardest to trust. Allocators know this, which is why a great equity curve opens fewer doors than you'd think. The managers who raise capital aren't the ones with the highest Sharpe — they're the ones whose numbers survive scrutiny. Here's the difference, and how to be on the right side of it.

The Fluxy Team · 30 Jul 2026 · 4 min

execution · risk · reconciliation

The scariest moment in automated trading is when your signal thinks you hold one thing and the exchange holds another — from a manual trade, a partial fill, or a stale signal. Our executor reconciles intended vs. actual positions before every live run, alerts the moment they drift materially, and — when a portfolio arms the gate — refuses to trade through it. Here's the guard that turns a silent disaster into a caught one.

The Fluxy Team · 23 Jul 2026 · 5 min

backtesting · live-trading · execution

The 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 · 15 Jul 2026 · 6 min

backtesting · quant · data-engineering

Most 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 · 15 Jul 2026 · 6 min