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

79,386 份文件

Amberdata research

This market commentary interprets crypto options conditions ahead of the U.S. election, focusing on Bitcoin and Ethereum realized volatility, implied volatility, skew, term structure, and relative performance. It describes realized volatility as stable while…

加密貨幣選擇權波動率期貨
BigQuant

The article reviews research on the 2016 launch of Morningstar’s sustainability ratings for U.S. mutual funds. The ratings use portfolio holdings and company ESG scores to assign funds one to five stars within their categories; the star display appears more…

股票統計市場情緒事件驅動
BigQuant

This guide recommends choosing community trading strategies according to an investor's capital, return expectations, and tolerance for drawdown. It distinguishes a conservative profile, associated with diversified holdings, a smoother equity curve, a longer…

風險管理回測投資組合建構部位規模
MQL5 code base

The Deviation Oscillator is presented as a volatility-oriented indicator that measures the distance between an applied price and its moving average, then scales that distance using the minimum and maximum deviations observed over a selected range. The result…

技術指標波動率
SuperMind

This post outlines a Chinese equity screen combining a daily range above 1%, dates in 2021, and a current low below the prior day's low. Its final stated selection also adds valuation filters: a price-to-earnings ratio below 30 and a price-to-book ratio…

股票中國市場波動率技術指標
SuperMind

This note describes a simple technical screen for Chinese stocks: select observations from 2021 where the daily high-low range exceeds 1% and the current high equals the highest high over the current and prior day. The author frames a large range as a sign…

股票中國市場波動率技術指標
SuperMind

The article outlines an A-share stock selection screen combining turnover, company size, profitability, and past price-limit events. It selects shares with turnover between 3% and 12%, market capitalization below 10 billion yuan, no reported loss, and at…

股票中國市場動能因子投資
FMZ forum

The post presents a chart indicator that uses the highest high and lowest low over a configurable lookback, excluding the current bar, to plot proposed long and short stop-loss and take-profit levels. Its stop logic compares the distance from the current…

技術指標風險管理
MQL5 code base

The document describes a terminal script for exporting account history into a CSV trading journal. It selects deals from a user-chosen lookback period and groups them by position ID to reconstruct closed positions, including on netting and hedging accounts.…

交易執行風險管理
SuperMind

This post combines a stock universe selected through an intelligent query with a dual moving average rule. The proposed rule buys when the five-day average is above the twenty-day average and sells when it falls below, while the universe is screened for low…

股票技術指標趨勢追蹤中國市場
BigQuant

This indicator description explains a ZigZag variant that calculates turning points from the high and low values of Heikin Ashi candles. The Heikin Ashi period is configurable, and users can choose whether the Heikin Ashi candles themselves are displayed.…

技術指標波動率
MQL5 code base

This research summary examines whether sell-side analysts’ earnings forecasts change as they issue more forecasts during a day. It frames decision fatigue as a shift from deliberate reasoning toward faster, more heuristic judgments. Using analyst forecast…

股票統計市場情緒事件驅動
SuperMind

This post describes a Chinese equity screen combining daily price amplitude, dividend yield, and a large-order net-flow ranking. It presents the factors as signals for volatility, company profitability, and market interest, then shows example implementations…

股票中國市場因子投資技術指標
MQL5 code base

This document describes an expert advisor that trades around Bollinger Bands. Its stated rule is contrarian: a downward break below the lower band triggers a buy, while a break above the upper band triggers a sell. An update says entries are placed after a…

技術指標均值回歸風險管理部位規模
BigQuant

This article examines whether financial factors such as value, size, profitability, investment, and momentum can be timed using predictive signals. It groups candidate signals into financial conditions, economic conditions, investor sentiment, factor…

因子投資股票動能市場情緒
MQL5 code base

This expert advisor uses a Doji candle as a setup and waits for the next completed candle to confirm a directional break. When a new bar appears, it checks the two preceding bars: if the older candle qualifies as a Doji, a close of the newer candle above the…

外匯技術指標突破部位規模
SuperMind

The post proposes a stock screen that combines a recent increase in institutional buying, weekly MACD above its zero line, and a high historical dividend payout ratio. It interprets the buying measure as evidence of institutional interest, weekly MACD as a…

中國市場股票技術指標動能
SuperMind

This overview surveys recurring problems in quantitative trading, including unreliable or incomplete data, model risk, slippage and fees, parameter selection, real-time monitoring, and processing speed. It also discusses choosing machine-learning methods and…

風險管理回測交易執行機器學習
SuperMind

This document describes a daily Chinese equity screen combining three conditions: turnover between 3% and 12%, the product of price change and net large-order volume above zero, and MACD above zero. It presents the rule as a way to select stocks with…

股票中國市場技術指標動能
SuperMind

This A-share stock screen combines a 14-period RSI below 65 with a positive prior-day main-fund net inflow. The stated rationale is that a relatively lower RSI may indicate rebound potential, while the fund-flow condition adds a capital-flow filter. The…

中國市場股票技術指標動能
MQL5 code base

This trend-following expert advisor uses the slope of a simple moving average, expressed as an angle, to distinguish directional markets from flat conditions. It also measures price distance from the average as a percentage to avoid entries after a move has…

趨勢追蹤技術指標風險管理回測
SuperMind

This Chinese equity screening idea combines three conditions: the 20-day moving average must exceed the 120-day moving average, the stock must have recorded at least two limit-up sessions in the prior 500 days, and its volume ratio must rank among the top…

股票中國市場動能技術指標
BigQuant

The report describes an asset allocation approach that measures cycle states and uses machine learning to estimate the probability that assets will outperform one another. It reviews macroeconomic timing frameworks, then describes cycle factors derived from…

多資產機器學習統計投資組合建構