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
Lumibot strategies
7 份文件
QuantRocket
7 份文件
Awesome Quant
1 份文件

搜尋圖書館

3,481 份文件

BigQuant

The article compares long and short training windows for an AI stock selection strategy and recommends evaluating each window against a fixed validation period. In its rolling experiments, extending the sample from 2005 to 2021 changed labels, factor…

股票機器學習回測統計
BigQuant

This submission outlines an intraday stock-selection idea for a day when a market theme is breaking out. It proposes identifying a popular sector early, using large orders that hold at the daily price limit as a sign of a clear direction, then ranking…

股票中國市場交易執行市場微結構
BigQuant

This Chinese post compiles a selection of 65 titles from a much larger collection of publicly released Springer books, focusing on data and machine learning. The bibliography spans foundations such as algebra, probability, statistics, optimization, and time…

機器學習統計股票
BigQuant

This BigQuant framework describes a workflow for computing and evaluating minute-frequency stock factors. Researchers define factors in SQL against a specialized derived minute-bar table, assign an output table name, and run the program to calculate and…

股票機器學習回測統計
BigQuant

This document is a brief outline of a presentation on machine learning in finance. It names four application areas: Lasso regression for commodity futures price prediction, decision trees for detecting possible financial fraud, logistic regression for…

機器學習大宗商品期貨股票
BigQuant

The document introduces fund-of-funds structures and distinguishes four types according to whether the parent and underlying funds are actively or passively managed. It focuses on an actively managed parent investing in passive sector ETFs, and describes an…

中國市場股票因子投資投資組合建構
BigQuant

This brief strategy description proposes checking stocks one by one to identify which has produced the highest return under an event strategy, then buying that stock. It specifies daily Chinese stock-bar data, a backtest beginning in 2020 and running through…

股票事件驅動回測中國市場
BigQuant

This older Chinese-equity strategy looks for stocks that rally to the daily limit, pull back, and later break to a new high. It defines a pullback as any post-limit-up close below the earlier limit-up price. After the pullback, a new high triggers a purchase…

中國市場股票突破動能
BigQuant

This Chinese-language conference excerpt introduces how artificial intelligence is being adopted by global asset managers. It frames technology as one response to falling margins per unit of managed assets, alongside efforts to grow assets under management.…

機器學習因子投資投資組合建構市場情緒
BigQuant

The document discusses how to judge excess returns in an index enhancement strategy. It argues that alpha should be evaluated by its persistence and consistency against a benchmark, rather than by the size of gains in a brief period. It describes monthly…

股票統計風險管理投資組合建構
BigQuant

This brief BigQuant support exchange concerns an error triggered after a user changed features in a beginner template. The response identifies a formatting issue in the feature list: comments or notes should be placed on separate lines rather than appended…

機器學習回測統計
BigQuant

This document outlines a Turtle style trend following strategy for stocks. It buys when the close crosses above the prior 20 trading days’ high and exits when the close crosses below the prior 10 trading days’ low. The examples define signals using current…

股票趨勢追蹤突破回測
BigQuant

The post asks how to calculate, for each instrument, the rolling five-day count of sessions when a stock value exceeds an index value, then assign those counts back to the original dataframe. The author reports that the grouped calculation produces the…

股票統計
BigQuant

The document examines a top-ranked strategy that selects the smallest stocks in the CSI 1000 and reports unusually strong historical performance. Its central lesson is that a backtest must use index constituents as they were known at each historical date.…

中國市場股票回測風險管理
BigQuant

This equity factor study measures buying and selling pressure through the amount of time a stock spends at different positions within its recent price range. It first normalizes price between the interval’s high and low to obtain relative price position…

中國市場股票因子投資技術指標
BigQuant

This Chinese equity research note develops industry-rotation signals from several types of institutional money flow. It treats a flow source as useful when its derived signals show a reasonably orderly relationship across ranked groups and a tolerable…

中國市場股票因子投資投資組合建構
BigQuant

This Chinese-language post introduces a custom-coded stock selection strategy on the BigQuant platform. It says the strategy combines five selection rules, mainly seeking stocks that have fallen sharply and begun to stabilize, while also attempting to…

股票中國市場因子投資回測
BigQuant

This Chinese-language post describes a stock selection screen combining three conditions: RSI below 65, the day’s volume above 1.05 times the prior day’s volume, and the absolute move from the previous close to the opening price below 6%. It frames the…

股票技術指標動能中國市場
BigQuant

The note recasts a past trading approach as a daily double moving average strategy, using crossovers as signals. The author reports that this approach produced losses over several consecutive years, offering a cautionary personal outcome rather than a…

技術指標趨勢追蹤回測
BigQuant

This short Chinese-language Q&A explains the delayed-entry setting in factor analysis. The setting shifts the point at which stocks are purchased based on factor values by a specified number of days. The question concerns a one-day rebalance cycle and asks…

因子投資回測
BigQuant

The document describes adding a custom Rank Information Coefficient module to a stock-ranking strategy. The module reports average RankIC separately for the training set and the test set, providing a way to assess how well a model’s rankings align with…

股票機器學習統計回測