hft-quant-expert▌
kasyap1234/delta-go · updated Apr 8, 2026
Quantitative trading expertise for DeFi and crypto derivatives.
HFT Quant Expert
Quantitative trading expertise for DeFi and crypto derivatives.
When to Use
- Building trading strategies and signals
- Implementing risk management
- Calculating position sizes
- Backtesting strategies
- Analyzing volatility and correlations
Workflow
Step 1: Define Signal
Calculate z-score or other entry signal.
Step 2: Size Position
Use Kelly Criterion (0.25x) for position sizing.
Step 3: Validate Backtest
Check for lookahead bias, survivorship bias, overfitting.
Step 4: Account for Costs
Include gas + slippage in profit calculations.
Quick Formulas
# Z-score
zscore = (value - rolling_mean) / rolling_std
# Sharpe (annualized)
sharpe = np.sqrt(252) * returns.mean() / returns.std()
# Kelly fraction (use 0.25x)
kelly = (win_prob * win_loss_ratio - (1 - win_prob)) / win_loss_ratio
# Half-life of mean reversion
half_life = -np.log(2) / lambda_coef
Common Pitfalls
- Lookahead bias - Using future data
- Survivorship bias - Only existing assets
- Overfitting - Too many parameters
- Ignoring costs - Gas + slippage
- Wrong annualization - 252 daily, 365*24 hourly
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.5★★★★★36 reviews- ★★★★★Naina Garcia· Dec 20, 2024
hft-quant-expert has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Ganesh Mohane· Dec 16, 2024
I recommend hft-quant-expert for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Ishan Huang· Dec 4, 2024
hft-quant-expert fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Ava Abebe· Nov 23, 2024
I recommend hft-quant-expert for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Chinedu Gonzalez· Nov 15, 2024
Registry listing for hft-quant-expert matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Kiara Chawla· Nov 11, 2024
Solid pick for teams standardizing on skills: hft-quant-expert is focused, and the summary matches what you get after install.
- ★★★★★Rahul Santra· Nov 7, 2024
hft-quant-expert fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Pratham Ware· Oct 26, 2024
hft-quant-expert has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Diego Johnson· Oct 14, 2024
Solid pick for teams standardizing on skills: hft-quant-expert is focused, and the summary matches what you get after install.
- ★★★★★Chinedu Khan· Oct 6, 2024
Useful defaults in hft-quant-expert — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
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