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知識圖書館

這裡收錄 Stratmill 研究代理對 AI 代理閱讀過的書籍、論文、文章與程式碼所寫的摘要與核心觀點。每個頁面都連結至原始資料。

Quant Q&A
20,364 份文件
SuperMind
12,226 份文件
OKX Learn
8,431 份文件
Strategy library
7,910 份文件
MQL5 code base
7,090 份文件
BigQuant
3,481 份文件
Bitget Academy
3,298 份文件
MQL5 articles
3,012 份文件
TradingView scripts
1,976 份文件
ProRealCode
1,507 份文件
Deribit Insights
1,232 份文件
Machine Learning for Trading
1,124 份文件
arXiv papers
1,033 份文件
Amberdata research
766 份文件
FMZ forum
682 份文件
FMZ digest
662 份文件
vn.py community
560 份文件
QuantInsti blog
511 份文件
Galaxy Research
340 份文件
QuantStart
246 份文件
Stratmill research code
219 份文件
Robot Wealth
195 份文件
NautilusTrader
191 份文件
Hummingbot docs
181 份文件
Paradigm research
175 份文件
Lumibot
164 份文件
Kraken Learn
163 份文件
量化課程圖書館
157 份文件
OctoBot
152 份文件
Cryptohopper blog
144 份文件
Systematic trading blog (Rob Carver)
132 份文件
Qlib
116 份文件
TqSdk
86 份文件
Quantpedia
86 份文件
Hyperliquid docs
79 份文件
Freqtrade
68 份文件
Hudson & Thames
62 份文件
Awesome Systematic Trading
61 份文件
backtrader
54 份文件
vn.py
50 份文件
Binance API docs
45 份文件
Quantopian 講座
45 份文件
FMZ guides
38 份文件
pysystemtrade
34 份文件
Freqtrade docs
32 份文件
quant-trading
31 份文件
FinRL
28 份文件
Zipline
22 份文件
FMZ live strategies
21 份文件
Jesse
17 份文件
pyfolio
16 份文件
Alphalens
14 份文件
WonderTrader
14 份文件
backtesting.py
11 份文件
Technical Analysis
9 份文件
QTPyLib
8 份文件
QuantRocket
7 份文件
Lumibot strategies
7 份文件
Awesome Quant
1 份文件

搜尋圖書館

79,386 份文件

BigQuant

This tutorial introduces Apache Arrow as a columnar format for in-memory computing and PyArrow as its Python interface, with integration for pandas, NumPy, and native Python objects. It demonstrates creating an Arrow scalar, converting a pandas DataFrame…

統計
SuperMind

This A-share screening rule combines a daily high-low range greater than 1%, a newly formed KDJ crossover, and positive main-fund net inflow on the prior day. The post presents the range condition as a way to find volatile stocks, the crossover as a possible…

股票中國市場技術指標動能
ProRealCode

The document describes a three-candle Popgun pattern: an inside candle is enclosed by two outside candles. It uses the direction of the second outside candle to choose long or short bias, then treats a break beyond that candle’s high or low within the next…

突破技術指標趨勢追蹤回測
SuperMind

This A-share screening concept selects stocks with at least five converging moving averages, ranks them by individual-stock “heat,” and requires at least two limit-up sessions within the prior 500 days. The accompanying explanation interprets the…

股票中國市場技術指標動能
SuperMind

This proposed A-share screen combines three conditions: at least five moving averages converge, the opening price is near the 10-day average, and the stock has hit the daily limit at least twice in the past 500 days. The accompanying rationale treats average…

股票中國市場技術指標動能
Amberdata research

This market snapshot reviews several digital-asset areas: centralized exchange share, spot price moves, futures long-short ratios, DeFi lending activity, and blockchain transaction patterns. It describes Binance losing exchange-volume share after regulatory…

加密貨幣現貨市場永續期貨去中心化金融
FinRL

This tutorial demonstrates a graph convolutional policy, GPM, inside a reinforcement-learning portfolio workflow. It loads historical stock features and a sector and industry graph, then reduces the graph to nodes within two hops of the selected portfolio…

股票投資組合建構機器學習回測
SuperMind

The document outlines a Chinese A-share stock screen centered on a metaverse industry classification, elevated recent turnover, share prices above a stated threshold, larger market capitalization, and return on equity. It first presents a simpler theme,…

中國市場股票動能因子投資
MQL5 code base

This short description presents a simplified indicator based on the 14-period Average Directional Index (ADX) and its positive and negative directional components. It says the relative position of the positive component, negative component, and main ADX line…

技術指標趨勢追蹤
MQL5 code base

The document introduces the VIX as an options-derived measure of expected volatility over roughly the next 30 days, then describes the idea of adapting a similar measure to markets beyond the major US stock indexes. It names possible applications such as…

波動率技術指標多資產
SuperMind

This post outlines a Chinese equity selection idea that ranks stocks by capital-flow strength, choosing the top 100, and filters for an opening-stage price rise below 6% at 9:25. It associates strong flow rankings with market attention and treats a limited…

中國市場股票市場微結構動能
SuperMind

This post describes a short-term Chinese equity screen using RSI below 65, an outside-volume to inside-volume ratio above 1.3, and a share-price filter. Although the headline mentions a specific price, the body shifts to a range: its example uses prices from…

中國市場股票技術指標市場微結構
SuperMind

This post proposes screening Chinese equities for daily price amplitude above 1, return on equity above 15% for five consecutive years, and a rounded price pattern. It presents the combination as a way to pair a volatility condition with sustained…

中國市場股票技術指標因子投資
SuperMind

This Chinese-language post outlines a stock selection rule using price amplitude, relative trading volume, and return on equity. It specifies amplitude above 1%, a volume ratio between 1.5 and 6, and ROE above 15% in each of the past five years. The intended…

股票中國市場波動率因子投資
SuperMind

This Chinese-language post describes an A-share stock screen combining price amplitude, a 2019 dividend yield threshold, and a range for floating market capitalization. The intended logic selects stocks with amplitude above 1, dividend yield above 25%, and…

股票中國市場波動率因子投資
Cryptohopper blog

The article explains how to estimate gains from cryptocurrency investments, trades, fiat conversions, and mining. Its basic method subtracts acquisition cost from sale proceeds to find gross profit, then deducts transaction and other costs—such as exchange…

加密貨幣現貨市場風險管理統計
BigQuant

This BigQuant platform report investigates Beijing Stock Exchange records in the Chinese stock factors table and how they interact with a basic stock-selection query. The author queries instruments with the Beijing suffix for a single date and reports 249…

中國市場股票統計回測
MQL5 code base

This indicator description presents a TRIX variation that uses Wilder-style double exponential smoothing and floating signal levels. It offers three possible ways to mark changes on a chart: crossing the outer levels, crossing a dynamic middle or zero level,…

技術指標動能回測
MQL5 code base

This brief script description outlines a tool for estimating the margin needed to open a trade at a specified volume. It also says the tool calculates the maximum number of lots that can be traded for a chosen symbol. The only example identified is CADJPY…

外匯部位規模風險管理
SuperMind

This Chinese stock-screening note combines a large-order net-flow ranking with a moving-average trend filter. It proposes ranking stocks by large-order net volume, treated as a measure of buying pressure, and keeping those whose 20-day moving average is…

中國市場股票技術指標動能
MQL5 code base

This indicator description explains pivot-point analysis as a way to derive potential support and resistance levels from the prior period’s high, low, and pivot. The first support and resistance levels use the distance between the pivot and the corresponding…

技術指標股票
BigQuant

This factor-monitoring summary compares Chinese equity signals over weekly, monthly, year-to-date, and one-year windows. It reports rankings for long-only absolute returns, long-short returns, information ratios, and relative strength. The factors discussed…

股票中國市場因子投資統計
SuperMind

This post describes a stock screen for main-board shares that combines a daily turnover-rate band of 3% to 12%, a circulating market value between 5 billion and 10 billion yuan, and an additional company-type criterion chosen by the user. It gives equivalent…

股票中國市場統計