'trading' 검색 결과

Turn academic papers and research reports into investment signals and trading strategies. Coordinate existing tools to extract formulas, implement rules, test them on historical data, store results, and monitor whether their effectiveness declines over time.

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• Extract investment signals from a research paper
• Implement and test trading rules on historical data
• Evaluate and store research results

Analyze scheduled token releases, their recipients, and trading volume to estimate potential selling pressure. Review project treasury holdings, operating runway, and token supply growth to assess funding sustainability and the effect of dilution on staking yields.

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• Reviewing token releases scheduled for the next 90 days
• Estimating selling pressure relative to trading volume
• Assessing treasury diversification and funding runway

Analyze the volatility implied by option prices across strike prices and expiration dates. Compare calendar spreads and other volatility strategies, then assess portfolio risk using Greeks, measures of how option values respond to market changes.

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• Compare implied volatility across strikes and expiration dates
• Evaluate calendar spread strategies
• Review portfolio risk using Greeks

Rank stocks using several indicators, such as recent returns and trading volume, combined on a common scale. Build equally weighted portfolios from the highest scores, or combine existing factors into strategies with buying and selling positions.

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• Rank stocks using several investment indicators
• Build an equally weighted portfolio of top-ranked stocks
• Combine Alpha Zoo factors into a trading strategy

Generate trading signals using Ichimoku Kinko Hyo, a five-line chart framework. Combine conversion-line and base-line crossovers with price position and cloud direction to classify conditions as long, short, or stand aside using pandas.

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• Evaluate trends with the five Ichimoku lines
• Identify crossovers that agree with the cloud
• Adjust calculation periods and displacement

Build machine-learning trading signals from price and volume data. The workflow checks inputs, creates predictive features, and repeatedly trains on available historical data to produce bounded signals indicating predicted direction and strength.

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• Building trading signals from price and volume data
• Comparing machine-learning models
• Testing expanding and sliding training windows

Detect five-point price patterns using Fibonacci ratios and generate buy, sell, or stand-aside signals. The skill identifies Gartley, Bat, Butterfly, and Crab patterns and locates potential reversal zones, where a price trend may change direction.

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• Detecting harmonic patterns in price data
• Identifying potential reversal zones
• Generating buy, sell, and stand-aside signals

Turn news, company announcements, and policy events into scored trading inputs. Store assessments in a standard CSV file, reduce their influence over time, and combine them with signals from price indicators to support event-based strategy testing.

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• Score the potential price impact of news and announcements
• Organize historical events into a standard CSV file
• Combine event assessments with price-based trading signals

Plan portfolio allocations across assets using risk, correlations, return forecasts, and trading costs. Compare five optimization methods, produce settings for config.json, and define rebalancing rules that adjust holdings back toward their target weights.

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• Comparing allocations across stocks, bonds, and gold
• Choosing an optimizer based on return forecasts and correlations
• Preparing portfolio settings for config.json

Model trading costs and execution assumptions in backtests, including slippage, the gap between expected and simulated fill prices. Compare price impact, fees, execution delays, and order splitting to assess how assumptions affect strategy results.

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• Compare backtests under different slippage assumptions
• Estimate how trading costs reduce annual returns
• Explore VWAP and TWAP order splitting

Build Lightweight Charts™ plugins that add custom chart types, annotations, or overlays. The skill guides plugin selection, project setup, implementation with official helpers, testing of drawing and interactions, and preparation for publishing.

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• Add a custom chart type
• Draw annotations or watermarks on a chart
• Investigate drawing or hover issues

Browse Polymarket prediction markets with the Nansen CLI. Find active events and markets by trading volume, search by keyword, inspect prices and liquidity, or review closed markets and categories to understand where trading activity is concentrated.

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• Finding events and markets with high 24-hour trading volume
• Searching for markets on a specific topic
• Reviewing closed or resolved markets

Build Solana apps with Phantom wallet connection, message and transaction signing, token-based access, NFT minting, and crypto payments. Add DFlow token swaps and live price or order-book displays, showing current buy and sell orders.

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• Add Phantom wallet login to an app
• Build pages restricted to token holders
• Implement token swaps with DFlow

Review closed trades, partial exits, and monthly trade aggregates for process adherence, risk discipline, execution quality, and evidence-based trading behavior patterns. Use after trader-memory-core and signal-postmortem have produced records, or when the user asks for a post-trade coach, risk-manager style review, rule-adherence review, next-session operating rules, or psychology-aware trading behavior feedback. This skill does not provide buy/sell advice, therapy, or broker execution.

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Statistical arbitrage tool for identifying and analyzing pair trading opportunities. Detects cointegrated stock pairs within sectors, analyzes spread behavior, calculates z-scores, and provides entry/exit recommendations for market-neutral strategies. Use when user requests pair trading opportunities, statistical arbitrage screening, mean-reversion strategies, or market-neutral portfolio construction. Supports correlation analysis, cointegration testing, and spread backtesting.

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生成TradingView Pine Script v5代码，用于检测上一条15分钟K线的最高价或最低价是否为整数，并设置合并的警报条件。

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CCXT cryptocurrency trading library. Use for cryptocurrency exchange APIs, trading, market data, order management, and crypto trading automation across 150+ exchanges. Supports JavaScript/Python/PHP.

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Professional trading charts including candlesticks, equity curves, drawdowns, correlation heatmaps, and return distributions

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Wallet evaluation, monitoring, and copy-trade strategy design for Solana DEX trading

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Get insider trading activity (SEC Form 4 filings) for one or more stocks. Use when user asks about insider buying/selling, executive transactions, insider sentiment, or Form 4 activity.

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Shioaji Taiwan financial trading API guide. Use when trading stocks/futures/options on Taiwan markets, subscribing to real-time market data, querying account info, or building automated trading systems. Shioaji 台灣金融交易 API 指南。適用於：股票/期貨/選擇權交易、即時行情訂閱、帳務查詢、自動交易系統開發。

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Expert guidance for systematic backtesting of trading strategies. Use when developing, testing, stress-testing, or validating quantitative trading strategies. Covers "beating ideas to death" methodology, parameter robustness testing, slippage modeling, bias prevention, and interpreting backtest results. Applicable when user asks about backtesting, strategy validation, robustness testing, avoiding overfitting, or systematic trading development.

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Trading as a business, performance review process, trade journaling, capital allocation discipline, business infrastructure for traders, KPI tracking for trading operations

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volatility trading, VIX products, straddle strangle, vol arbitrage, volatility surface trading, variance swap, gamma scalping, implied vs realized volatility, vol of vol, earnings volatility play

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