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Βιβλιοθήκη γνώσης

Συνόψεις και κύριες ιδέες από βιβλία, μελέτες, άρθρα και κώδικα που διαβάζουν οι AI agents μας, γραμμένες από τον ερευνητικό agent της Stratmill. Κάθε σελίδα παραπέμπει στο πρωτότυπο.

Quant Q&A
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SuperMind
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OKX Learn
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Strategy library
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MQL5 code base
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BigQuant
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Bitget Academy
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TradingView scripts
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Deribit Insights
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Machine Learning for Trading
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arXiv papers
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Amberdata research
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FMZ forum
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FMZ digest
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vn.py community
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QuantInsti blog
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Galaxy Research
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QuantStart
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Stratmill research code
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Robot Wealth
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NautilusTrader
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Hummingbot docs
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Paradigm research
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Lumibot
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Kraken Learn
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Βιβλιοθήκη μαθημάτων ποσοτικής ανάλυσης
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OctoBot
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Cryptohopper blog
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Systematic trading blog (Rob Carver)
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Qlib
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Hyperliquid docs
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Awesome Systematic Trading
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backtrader
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vn.py
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Jesse
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pyfolio
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WonderTrader
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Alphalens
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backtesting.py
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Technical Analysis
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QuantRocket
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Lumibot strategies
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Awesome Quant
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Αναζήτηση στη βιβλιοθήκη

12,226 έγγραφα

SuperMind

This Chinese stock-screening example combines a 14-period RSI below 65, three consecutive bearish candles, and a circulating share count no greater than 5.5 billion. The document presents the rules as a way to identify stocks showing short-term weakness…

ΜετοχέςΑγορές ΚίναςΤεχνικοί δείκτεςΕπαναφορά στον μέσο όρο
SuperMind

This Chinese stock-screening example ranks shares by capital strength and initially selects stocks with more than two limit-up sessions in the previous ten days and a gain below six percent at 9:25. The accompanying explanation treats stronger capital inflow…

ΜετοχέςΑγορές ΚίναςΟρμήΤεχνικοί δείκτες
SuperMind

This note proposes a short-term Chinese equity screen with three conditions: amplitude above 1, the current high equal to the highest high over two days, and the opening price near the ten-day moving average. It gives formula and Python examples, including a…

ΜετοχέςΑγορές ΚίναςΤεχνικοί δείκτεςΟρμή
SuperMind

This forum post raises a factor-research reproducibility problem: a user reports that returns from reproducing four factors differ substantially from the platform’s published results. The suggested comparison holds the factor and backtest period constant,…

ΜετοχέςΕπενδύσεις βάσει παραγόντωνBacktestingΣτατιστική
SuperMind

This note describes a Chinese equity screening rule that combines price movement, trading activity, opening behavior, and recent limit-up frequency. It selects stocks with amplitude above 1, current volume above 10,000 lots, a higher open, and more than two…

ΜετοχέςΑγορές ΚίναςΟρμήΤεχνικοί δείκτες
SuperMind

This Chinese equity screen looks for stocks with turnover between 3% and 12%, a negative product of the daily price change and net super-large-order quantity, and a pattern described as three consecutive declining sessions. It uses turnover and large-order…

ΜετοχέςΤεχνικοί δείκτεςΜικροδομή αγοράςΑγορές Κίνας
SuperMind

This Chinese stock-selection idea filters for companies in the metaverse theme whose net major-investor buying during the opening auction is positive and whose KDJ indicator has just formed a bullish crossover. The three conditions combine thematic exposure,…

ΜετοχέςΤεχνικοί δείκτεςΜικροδομή αγοράςΕπενδυτικό κλίμα
SuperMind

This Chinese equity screen selects main-board stocks with a 14-period RSI below 65, a daily gain greater than 1%, and an increase-in-position share above 5%. The note interprets the position increase as a possible sign of near-term capital inflow and pairs…

ΜετοχέςΤεχνικοί δείκτεςΟρμήΕπενδυτικό κλίμα
SuperMind

This note describes a Chinese equity screen combining a positive MACD reading with a favorable company classification and a circulating market value between 5 billion and 10 billion yuan. It frames the approach as a blend of technical momentum and company or…

ΜετοχέςΤεχνικοί δείκτεςΟρμήΑγορές Κίνας
SuperMind

This post presents a Chinese stock-selection screen that combines a daily price-range threshold, a pattern described as a morning star, and ranking by auction activity, selecting the top five names. It frames the inputs as measures of price movement,…

ΜετοχέςΤεχνικοί δείκτεςΔιάσπαση επιπέδουΟρμή
SuperMind

This post outlines a technical screen for Chinese stocks in the metaverse theme. It requires the stock’s price to be above its five-day moving average and applies a rule intended to identify an arc-shaped price pattern. The document describes these…

ΜετοχέςΑγορές ΚίναςΤεχνικοί δείκτεςΟρμή
SuperMind

This post describes a daily, after-close screen for Chinese equities. It selects stocks whose MACD line is above zero, ranks candidates by individual-stock popularity, and restricts turnover to between 2% and 9%. It explains the indicators as rough proxies…

ΜετοχέςΑγορές ΚίναςΤεχνικοί δείκτεςΟρμή
SuperMind

The post proposes an A-share stock screen centered on a reported increase in holdings above 5% and a relationship between price change and net large-order flow. It also refers to 2021 performance, then adds market capitalization above 10 billion and a…

ΜετοχέςΑγορές ΚίναςΜικροδομή αγοράςΔιαχείριση κινδύνου
SuperMind

This A-share screening idea looks for stocks classified in the metaverse sector that appeared on the previous day’s trading activity leaderboard and whose intraday low is 4% to 5% below the previous day’s high. The article frames the screen as a way to find…

ΜετοχέςΕπαναφορά στον μέσο όροΑγορές ΚίναςBacktesting
SuperMind

This Chinese-language post describes a stock-selection screen focused on the metaverse concept. It requires the 30-day moving average to be rising and filters stocks using a measure combining the prior turnover rate with the ratio of today’s auction volume…

ΜετοχέςΑγορές ΚίναςΤεχνικοί δείκτεςΟρμή
SuperMind

This proposed stock screen looks for companies with daily high-low range above 1%, market capitalization below 10 billion, and no losses. The initial description refers to 2021 data; the refined version adds positive net income in each of the latest four…

ΜετοχέςΤεχνικοί δείκτεςΔιαχείριση κινδύνουΚαθορισμός μεγέθους θέσης
SuperMind

This stock-selection approach filters for companies in the beverage and alcohol import-export industry, a 14-period RSI below 65, and return on equity above 15% for five consecutive years. It combines a price-based indicator with an industry classification…

ΜετοχέςΤεχνικοί δείκτεςΕπενδύσεις βάσει παραγόντων
SuperMind

This post outlines a stock selection rule that combines MACD above zero, a favorable company classification, and previous-day actual turnover between three and twenty-eight percent. It interprets the MACD condition as a positive technical signal and the…

ΜετοχέςΤεχνικοί δείκτεςΟρμήΑγορές Κίνας
SuperMind

This post proposes a Chinese equity screen combining recent price-limit events, trading activity, and an increase in position holdings. Its stated initial conditions are more than two limit-up days within ten days, prior-day turnover above sixty million, and…

ΜετοχέςΟρμήΔιάσπαση επιπέδουΤεχνικοί δείκτες
SuperMind

This proposed screen targets stocks associated with the metaverse theme and combines an arc-shaped price pattern with a rising K value from the KDJ oscillator. The explanation treats a rising K value as a sign of improving bullish momentum. The formula and…

ΜετοχέςΑγορές ΚίναςΤεχνικοί δείκτεςΟρμή
SuperMind

This Chinese-equity screening rule selects companies with turnover between 3% and 12%, circulating market value between 5 billion and 10 billion yuan, total market value below 10 billion yuan, and positive reported profits. Turnover is used as a…

ΜετοχέςΑγορές ΚίναςΕπενδύσεις βάσει παραγόντωνΣτατιστική
SuperMind

This note describes a stock screen combining daily amplitude above a stated threshold, a positive weekly MACD signal, and first-level buy volume greater than sell volume. It presents the buy-versus-sell volume condition as a way to gauge near-term trading…

ΜετοχέςΤεχνικοί δείκτεςΟρμήΜικροδομή αγοράς
SuperMind

The document presents a Chinese A-share screening rule that selects stocks with a daily high-low range exceeding one percent, at least one limit-up session in the prior 25 trading days, and a high ranking on a large-order net-volume measure. The combined…

Αγορές ΚίναςΜετοχέςΟρμήΤεχνικοί δείκτες
SuperMind

This overview explains mean reversion as a tendency for a time series to move back toward a typical level, contrasting it with a random walk and relating the idea to the Ornstein–Uhlenbeck process. It describes the Augmented Dickey-Fuller test as a unit-root…

Επαναφορά στον μέσο όροΣτατιστικήΤεχνικοί δείκτες