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

MQL5 code base

This short indicator note introduces William Blau’s double-smoothed stochastic, attributing it to a 1990 article. It identifies the calculation’s inputs as the current close, the lowest low and highest high over a lookback period, and exponential moving…

技術指標動能統計
Kraken Learn

This beginner’s guide explains futures grid trading bots, which place long and short orders at preset price levels around a contract price. The approach aims to capture repeated movements within a range by systematically buying and selling, rather than…

加密貨幣期貨網格交易風險管理
BigQuant

The document describes Temporal Routing Adaptor (TRA), a way to extend a stock prediction model so it can learn from different patterns in market data. It notes that momentum and reversal behavior may coexist, which challenges the assumption that…

股票機器學習統計投資組合建構
BigQuant

The document answers how to allocate weights across strategies in a multi-strategy backtest. Its proposed workflow is to extract each strategy’s daily return series and use an optimization package to find portfolio weights. This frames the task as portfolio…

投資組合建構回測統計
Qlib

Qlib separates forecasting signals from portfolio construction. A strategy turns prediction scores into trading decisions, while a weight-based base class lets users specify target holdings and delegates order generation to the framework. The documented…

投資組合建構回測交易執行風險管理
SuperMind

This Chinese-market stock screen combines three conditions: turnover between 3% and 12%, an opening price within 5% of the 10-day average closing price, and more than two limit-up days during the past 10 days. It is aimed at finding active stocks whose…

股票中國市場動能技術指標
SuperMind

This post proposes screening stocks that have at least two limit-up sessions within 500 days and five moving averages described as overlapping. It interprets the moving-average condition as a possible sign of nearby support and resistance, and repeated…

股票中國市場技術指標動能
SuperMind

This Chinese-language post outlines an equity screening rule that combines MACD above zero with a candlestick-pattern condition and a company characteristic. It presents the combination as a way to identify stocks with upward trend potential, while warning…

股票技術指標動能中國市場
Amberdata research

The article explains how leveraged perpetual futures positions can be liquidated when traders fail to meet maintenance margin requirements. It treats liquidation data as forced buy or sell order flow that may reveal short-term market pressure, and describes…

加密貨幣永續期貨市場微結構回測
MQL5 code base

The document introduces a color-histogram implementation of William Blau’s Q-period Stochastic Index, an indicator described in his book on momentum, direction, and divergence. It identifies the indicator’s general form and points to a smoothing-algorithm…

技術指標動能
MQL5 code base

This expert advisor monitors open positions across symbols and magic numbers. After a position has been open for a configurable number of seconds, it checks whether profit has reached a configured threshold in points. If the threshold is met, the advisor…

交易執行風險管理部位規模
ProRealCode

The document explains a trend indicator attributed to Andrew Abraham’s 1998 article. It defines trend direction using a trailing level built from a weighted average of true range. True range is the largest of the current high-low range and the gaps from the…

趨勢追蹤波動率技術指標風險管理
MQL5 code base

The expert advisor combines MACD divergence with stochastic confirmation and Bollinger Band trade exits. For buys, the stochastic main line must be above its signal line and remain within the configured oversold range for a specified candle period. The sell…

技術指標外匯風險管理
MQL5 code base

This short listing describes XWAMI_HTF, a version of the XWAMI indicator with a selectable chart timeframe in its input settings. The example default is a four-hour period, indicating that users can choose the timeframe on which the indicator operates. It…

技術指標
Amberdata research

This article outlines factors to assess before depositing token pairs into a decentralized exchange liquidity pool. Liquidity providers receive a share of swap fees, generally represented by redeemable pool tokens, and some pools may also distribute…

去中心化金融風險管理波動率回測
Lumibot

This example describes a concentrated long-only stock portfolio built through a sequence of AI agents. A research agent ranks companies for understandable businesses, cash generation, and attractive prices. A second agent challenges each idea by examining…

股票機器學習投資組合建構回測
SuperMind

This proposed A-share stock screen combines market activity, company size, profitability, and recent price action. It selects stocks with turnover between 3% and 12%, market capitalization below 10 billion yuan, positive income, and at least one limit-up…

股票動能突破中國市場
Stratmill research code

This code excerpt implements three filters intended to support spread trading and risk adjustment. The correlation filter calculates rolling correlation between the first two series, rescales it to a zero-to-one range, and uses changes in that measure to…

配對交易波動率風險管理回測
SuperMind

This Chinese course listing outlines a study of A-share stocks that reach their daily upper price limit. Its stated sequence is to explain the limit-up mechanism, classify limit-up events, examine subsequent stock returns, and then apply a support vector…

股票機器學習突破
MQL5 code base

This document describes a chart indicator that displays trend direction and trade signals derived from the UltraWPR indicator on a selected bar. It uses a colored background: pale shades mark trend continuation, while brighter shades distinguish buy and sell…

技術指標趨勢追蹤
SuperMind

This proposed stock screen combines amplitude above 1, institutional participation, and year-over-year growth in net profit attributable to parent-company shareholders above 20% and at most 100%. The final criteria specify institutional participation above…

股票中國市場波動率動能
SuperMind

This post proposes screening A-share stocks for turnover between 3% and 12%, market value below 10 billion yuan, scale above 200 million yuan, and no losses. It presents the screen as a way to combine trading activity, company size, and profitability, then…

股票中國市場因子投資回測
MQL5 code base

This document outlines a proposed position-sizing engine for algorithmic trading. It combines Kelly sizing, which uses estimated win rate and payoff ratio, with volatility adjustment based on Average True Range and tick value. The stated goal is to reduce…

風險管理部位規模波動率