Core Pages
Quant Desk
6 min read
What it is
Quant Desk runs institutional-grade portfolio diagnostics — performance vs benchmark, HODL vs Trade attribution, cross-pair correlation, and fee-impact analysis. Every input is your real trading history; no model assumptions or simulated returns. Built for traders who want hedge-fund-level questions answered about their own behavior.
How to think about it
If Trade Analytics tells you what you did, Quant Desk tells you whether what you did was actually any good. The four tabs each answer one institutional question.
Step-by-step
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Tab 1 — Vs Benchmark
Picks a benchmark (BTC, ETH, SOL, AVAX, LINK, MATIC, DOGE, ADA, or any custom symbol) and a window (default 90 days). Computes your portfolio return vs the benchmark return over the same window. Shows alpha (excess return), tracking error, and information ratio. Use this to know whether your trading actually added value over just holding BTC.
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Tab 2 — HODL vs Trade
Counterfactual: if you had just held your initial portfolio without any trading activity, what would your returns be vs what you actually achieved? Highlights whether trading helped or hurt. Most retail traders lose this comparison — Quant Desk shows you which side of the average you're on.
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Tab 3 — Correlation
Cross-pair correlation matrix across the symbols you actually trade. Highly-correlated holdings don't add diversification — two tokens with 0.9 correlation are effectively one position. Use this to spot redundant exposure.
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Tab 4 — Fee Impact
Total fees paid (exchange + gas) as % of gross profit / volume. Breaks down per-strategy fee burden. If fees exceed 15-20% of gross profit, you're probably trading too often or on the wrong venues. Switching to lower-fee chains (Base, Arbitrum) or higher-tier exchanges often recovers this.
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Switch benchmarks
The benchmark presets cover the most-asked-for comparisons. For custom assets (an alt you specifically want to outperform), type the symbol in the custom field and click Apply. Must be 2-10 alphanumeric chars; the system resolves it via Binance OHLCV.
Tips & pitfalls
- Alpha > 0 means you outperformed the benchmark. Alpha < 0 means just holding the benchmark would have done better — that's a strong signal to simplify your strategy.
- A 90-day window is the minimum honest sample. Shorter windows (7d, 30d) over-weight noise.
- If HODL vs Trade is close to flat (±2%), your trading neither helped nor hurt much. Decide if the effort is worth zero alpha.
- Two pairs at 0.95+ correlation should be treated as one position when sizing. Quant Desk flags these.
- Fee Impact rising over time often signals strategy drift — you're churning more without commensurate volume growth.
- The "custom benchmark" feature works for anything Binance lists. Want to compare vs your favorite alt? Type it in.