Publisher
7 published skills, 12 installs in total.
Dealing Range Theory (DRT) — complete ICT structure: Type 1 (continuation), Type 2 (reversal), Type 3 (consolidation), quadrant levels (25/50/75), entry models, SMT confirmation and news filter. For market analysis and trade setups.
Crypto DRT scalping strategy + backtest reference on 12 crypto pairs (TRX, BNB, BTC, LINK, AVAX, DOGE, SOL, NEAR, XRP, LDO, ADA, ETH), all 7 days. Backtested 2 years (~400+ trades). 100% lokal backtest-reference — ingen netværkskald, ingen API-nøgle. Backtest results are historical and not a guarantee of future performance.
Provides pay-per-call crypto trading signals with entry, stop-loss and take-profit via the x402 standard (USDC on Ethereum). Live DRT/ICT signals for agents and traders.
Self-improving DRT/ICT trading agent — journals every trade (setup type, bias, R:R, outcome), analyzes its own win/loss patterns, and builds a personal trading memory that makes the agent smarter over time. 100% lokal — ingen netværkskald.
News blackout awareness for trading: local reference for high-impact events (NFP/CPI/FOMC) and blackout-window logic. The agent decides whether to trade. 100% lokal reference — ingen netværkskald, ingen API-nøgle.
DRT/ICT market analysis framework: 1h klines, premium/discount zones and daily bias for 17 instruments (indices, forex, metals, crypto). 100% lokal analyse — ingen netværkskald, ingen API-nøgle.
Crypto Fear & Greed index + market sentiment analysis. Know the market mood before your agent takes a position. 100% lokal analyse — ingen netværkskald, ingen API-nøgle.
Every published skill from Northcap Group. Following a publisher whose work already fits how you operate is often faster than evaluating individual skills one at a time.
Skills cover the full range of what an Ottermind agent does: building editable PowerPoint decks, generating product and brand images, writing and running code on a machine you connect, producing video from a script or a still, and cleaning and analysing spreadsheet data. A skill is what turns a general model into something that handles your specific version of one of those jobs the same way every time.
A skill is a plain Markdown file with a short frontmatter header, which means you can read exactly what it will do before running it, edit it to match your own conventions, and share it with colleagues. Once a skill produces the result you wanted, it can be attached to an agent or scheduled as an automation so the same work happens again without anyone rewriting the prompt.