跳至內容

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

12,226 份文件

SuperMind

This A-share stock screen combines a metaverse sector classification, prior-day turnover above 8%, and a revenue comparison requiring 2021 revenue to exceed 2018 revenue by more than 10%. The rationale is to bring together sector exposure, trading activity,…

股票中國市場動能統計
SuperMind

This A-share stock screen combines an intraday range filter, an exact closing-price condition, and a 15-minute MACD histogram condition. The post describes the intended screen as selecting stocks with an amplitude above one percent, a price of 18.5 yuan, and…

股票中國市場技術指標動能
SuperMind

This A-share screening idea combines recent price-limit events with a measure of trading activity. It defines capital strength as yesterday’s turnover multiplied by the ratio of today’s opening-auction volume to yesterday’s volume, then keeps values between…

股票中國市場動能突破
SuperMind

The document describes an A-share stock screen combining turnover, market capitalization, profitability, and a weekly price crossover. It selects companies with turnover between 3% and 12%, market capitalization below 10 billion yuan, no losses, and a weekly…

股票中國市場技術指標趨勢追蹤
SuperMind

This note proposes screening Chinese stocks for daily amplitude above 1%, evidence described as main-force control on the previous day, and growth in the KDJ indicator’s K value. The rationale is to combine elevated short-term price movement and signs of…

股票技術指標動能中國市場
SuperMind

This note describes a Chinese stock screening rule combining daily price amplitude above 1%, afternoon large-order net inflow, and a MACD condition from two days earlier. It presents the filters as a way to find stocks showing both price movement and buying…

股票技術指標動能中國市場
SuperMind

This document reports a backtest of a long-only strategy labeled TV_RSI on hourly BTC-USDT candles from Binance. It covers 493 days, from January 1, 2020, through May 8, 2021. The report lists 94 closed trades, a 179.25% total net profit, a 27.04% maximum…

加密貨幣現貨市場技術指標回測
SuperMind

This article translates Steve Leuthold’s value-investing approach into a monthly stock-selection method for Chinese equities. It ranks candidates using low price-to-book, price-to-earnings, and price-to-cash-flow ratios relative to market averages, alongside…

股票因子投資回測風險管理
SuperMind

This post presents a short-term equity selection screen using three signals: more than two limit-up sessions in the prior ten days, RSI below 65, and ranking by capital-flow strength. It interprets the RSI threshold as leaving room for further gains, capital…

股票動能技術指標市場微結構
SuperMind

This Chinese-language post describes an equity screen combining daily price range, five years of return on equity above 15%, and a daily price change between −5% and 2.6%. It also proposes adding a price-to-book ratio no higher than five and revenue growth…

股票因子投資技術指標中國市場
SuperMind

This document proposes screening stocks in the metaverse sector for a recent limit-up event and greater volume on the best bid than on the best ask. It specifies selecting during the morning, before 10:00, for same-day trading. The post includes example…

股票中國市場技術指標市場微結構
SuperMind

This document proposes a Chinese A-share selection screen combining a relative strength index below 65 with a ratio of external to internal trades above 1.3. It also filters for a product of the prior day’s turnover rate and the ratio of current auction…

股票技術指標中國市場市場微結構
SuperMind

The strategy rotates among China’s four largest banks using each stock’s current price relative to the previous close. When flat, it buys the bank with the weakest ratio if the spread between the strongest and weakest ratios exceeds a preset threshold. When…

股票均值回歸配對交易交易執行
SuperMind

This A-share selection method requires MACD to be above its zero line, parent-company net profit growth to be greater than 20% and no more than 100%, and more than two limit-up days within the past ten days. The examples show a possible weekly screening…

股票動能技術指標中國市場
SuperMind

This document describes an A-share stock screen combining turnover of 3%–12%, a daily gain above 1%, main-board listing, and a top-50% return rank for 2021. It explains the turnover band as a way to focus on active stocks while avoiding extreme activity, and…

股票動能技術指標中國市場
SuperMind

This Chinese-language post describes a stock screen combining daily price range, positive institutional net flow, and a relative-volume band. The stated rules select stocks with an amplitude above one, institutional flow above zero, and volume ratio between…

股票技術指標動能統計
SuperMind

This stock-screening idea selects companies whose codes begin with 60, whose amplitude exceeds one, and which were described as under major-player control on the previous day. The rationale is to narrow attention to volatile stocks with a potentially notable…

股票中國市場技術指標因子投資
SuperMind

The article reviews the progression from earlier GPT language models to GPT-3, emphasizing scale and the ability to perform varied tasks from prompts or examples without task-specific fine-tuning. It describes code generation alongside broader language…

機器學習統計
SuperMind

The document proposes screening Chinese equities for membership in the metaverse sector, a rounded price pattern, and a specified share price. Its later explanation shifts from a fixed price to comparing the current price with a historical low, using a…

股票技術指標中國市場
SuperMind

The document describes a Chinese stock screen combining a daily price-range condition, prior-day turnover within a specified band, and return on equity above 15% for five consecutive years. It presents the screen as a way to pair recent trading activity and…

股票因子投資波動率風險管理
SuperMind

This Chinese-language post proposes placing a stock in a candidate pool when its amplitude exceeds 1%, it recorded at least one limit-up day in the prior 25 days, and the weekly five-period moving average crosses above the ten-period average. The stated…

中國市場股票技術指標動能
SuperMind

This Chinese-language post describes an equity screening rule combining three conditions: daily amplitude above 1%, a weekly five-period moving average crossing above the ten-period average, and the 20-day average above the 120-day average. The rationale…

中國市場股票技術指標趨勢追蹤