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

SuperMind

The document presents a stock-selection idea based on a reported buying-interest measure above 5%, a price below 12, and an upward-sloping 30-day average. It describes these conditions as a way to find lower-priced stocks with buying demand and a rising…

股票中國市場動能技術指標
SuperMind

The document outlines an A-share stock screen combining a 14-period RSI below 65, positive net profit growth between 20% and 100%, and a positive 10-day price change capped at 35%. Its SQL example adds further filters, including positive net profit, exchange…

股票中國市場動能技術指標
Stratmill research code

This document describes helper calculations commonly used to construct quantitative signals from price or other tabular time series. Its functions cover rolling sums, averages, standard deviations, correlations, covariances, ranks, products, extrema,…

技術指標統計
BigQuant

This document is a brief summary of a research presentation on changes in quantitative investing. It outlines a model that combines a linear factor component with a nonlinear function of factor exposures, leaving a residual term. It says that residual…

機器學習因子投資風險管理統計
SuperMind

This Chinese-language post presents an A-share screening rule combining metaverse-sector membership, a circulating market capitalization threshold, and a set of price conditions involving the current and previous daily candles. The conditions require the…

股票中國市場技術指標
FMZ guides

This guide explains a key difference between JavaScript and C++ strategies on the FMZ Quant Trading Platform: how API calls signal failure. In JavaScript, a failed ticker request returns null, so a strategy can test whether the result exists before using it.…

交易執行
FMZ forum

This guide describes operational details for trading Gate.io perpetual futures through the FMZ platform. It explains that contracts are USD-denominated, BTC-settled, and represented as swaps, and notes the platform’s stated contract value. It also covers…

期貨永續期貨交易執行風險管理
vn.py community

This support thread documents startup and model-browser failures after configuring AI services in VeighNa Station. Users report that an OpenAI-compatible provider failed during model listing, with errors arising when the client parsed the provider response.…

交易執行
BigQuant

This forum post questions the target-return calculation in a one-day equity strategy’s labeling code. The strategy is described as buying near the open on one day and selling at the close of the next, yet the label reportedly divides a later session’s high…

股票機器學習回測統計
SuperMind

The proposed Chinese equity screen selects stocks with an amplitude above one, excludes those that closed at the prior day’s upper limit, and requires the prior day’s 9:15 matching price to be at the lower limit. The stated rationale is that a sharp downside…

股票中國市場均值回歸技術指標
MQL5 code base

The document describes a chart indicator that applies the XRSX algorithm to a relevant price time series and displays the processed values as a sequence of candlesticks. The stated purpose is to make the indicator’s information more useful for visual…

技術指標
MQL5 code base

This brief description presents an example of plotting a function’s spectrum using a Fast Fourier Transform library. The input can be either a test signal formed by summing three sinusoids with differing parameters or market closing prices. This outlines a…

統計技術指標
SuperMind

This stock screen combines three conditions: prior-session price amplitude above 1%, tradable shares no greater than 5.5 billion, and prior auction turnover above 0.26. The article explains the intended rationale: a larger range may identify short-term…

股票中國市場技術指標風險管理
MQL5 code base

The Fibo ZigZag indicator identifies successive price highs and lows, measures the distance between them, and plots retracement percentages from the swing extremes. The listed levels are 23.6%, 38.2%, 50%, and 61.8%. It is described as a revised version of…

技術指標風險管理
MQL5 code base

This indicator uses a smoothed Average Directional Movement Index to mark trend direction and apparent strength on the price chart. It compares the positive and negative directional lines: when the positive line is higher, the chart displays a lime dot; when…

技術指標趨勢追蹤
SuperMind

This proposed screen targets mainland Chinese main-board stocks classified in the metaverse industry. It ranks candidates by the day’s opening-auction amount, takes the top five, and requires the current price to be more than 1% above the open. A Python…

股票中國市場動能交易執行
SuperMind

This proposed Chinese A-share screen selects stocks with at least two limit-up sessions over a 500-day lookback and excludes Beijing-listed shares. The post interprets repeated limit-ups as a sign of strong price action, but provides no backtest results or…

股票中國市場動能
Lumibot

This legacy LumiBot guide explains how to connect a trading strategy to Interactive Brokers through Trader Workstation (TWS). It identifies the API settings to enable, including ActiveX and socket clients, and says to turn off read-only access. It…

交易執行選擇權
BigQuant

This forum post raises operational problems encountered after submitting previously successful stock strategies for simulated trading. The author reports that some buy instructions appear a day early and are later marked invalid, that incomplete purchases…

股票交易執行回測投資組合建構
SuperMind

This document describes a simple Chinese equity screening rule: select stocks with turnover between 3% and 12%, a ten-day gain above zero but below 35%, and a price below 12. Its accompanying example code also excludes selected exchange segments, stocks…

股票中國市場動能技術指標
FMZ forum

The article discusses a leveraged Martingale approach to trading LTC/USDT perpetual contracts. It proposes changing the traditional doubling rule to a smaller add-on multiplier so the strategy can withstand more adverse price movement, then withdrawing…

加密貨幣永續期貨部位規模風險管理
ProRealCode

This indicator first finds the median closing price within a rolling window, then averages successive median values using a simple moving-average calculation. The median is intended to represent the middle observation in a sample, while the later averaging…

技術指標統計
SuperMind

This proposed stock screen looks for shares with daily amplitude above 1, a reversal or engulfing-style pattern, and no limit-up move on the previous day. Its intended logic is to find volatile stocks showing a change in recent price direction while…

中國市場股票技術指標均值回歸
SuperMind

This stock-screening proposal combines daily price amplitude above 1, upward divergence in moving averages, exclusion of special-treatment stocks, and a limit-up-related condition. It aims to find volatile shares with rising price action and liquidity. The…

中國市場股票技術指標動能