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
Quantopian 講座
45 份文件
Binance API docs
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

FMZ forum

This article argues that grid trading can move beyond small gains by improving how the strategy handles falling markets. It describes combining suitable instrument selection, portfolio construction, dynamic grid placement, and position management to address…

網格交易加密貨幣風險管理部位規模
BigQuant

This article explains a proposed arbitrage mechanism involving Chinese A-shares, stock purchases, securities borrowing, and short sales. Its example describes buying shares to push the price higher, borrowing shares to sell at that higher price, and later…

股票中國市場套利市場微結構
FMZ forum

This post presents a Pine strategy example built around three exponential moving averages. It defines a bullish condition when the shortest average is above the middle average and the middle is above the longest, and a bearish condition when that ordering is…

技術指標趨勢追蹤回測
SuperMind

This document outlines a Chinese stock-screening rule that combines a daily price-range threshold, a fresh two-day high, and at least two limit-up events over a 500-day lookback. It also includes a positive earnings-per-share condition. The proposed logic…

股票中國市場技術指標動能
SuperMind

This document describes a Chinese equity screening strategy focused on companies classified in the metaverse sector. It selects stocks with actual turnover between 3% and 28% on the prior day and more than two limit-up days within a ten-day window. The…

股票中國市場動能技術指標
SuperMind

This note outlines a short-term Chinese-equity screening idea that combines a daily price-range threshold, relative volume bounded by lower and upper limits, and a Morning Star candlestick pattern. The stated interpretation is that a wider range may identify…

股票技術指標動能風險管理
MQL5 code base

This document explains a chart utility that derives standard timeframe charts from one-minute data and can optionally recreate the one-minute volume series before conversion. A configurable parameter controls the treatment: negative values below a threshold…

市場微結構回測技術指標
SuperMind

This note describes a Chinese-equity screen limited to the metaverse industry. It looks for stocks opening around the ten-day moving average and with prior-day actual turnover within a stated band. The intended rationale is to combine a price-position…

股票技術指標中國市場風險管理
FMZ guides

This platform guide describes how to select and trade cryptocurrency options through a common trading interface. It outlines contract selection, market-data retrieval, order placement and cancellation, and position queries for Deribit and OKX. It also lists…

選擇權加密貨幣衍生品定價交易執行
SuperMind

This beginner guide explains convertible bonds as debt with interest and a right to convert into shares at a specified conversion price. It distinguishes the bond’s market price, the underlying share price, and the conversion price, then illustrates how…

固定收益股票衍生品定價風險管理
SuperMind

This post describes a stock screen combining an RSI below 65, the product of percentage price change and net flow from very large orders, and a listing history longer than three years. It presents these filters as a way to combine a technical condition,…

股票技術指標動能市場微結構
SuperMind

This post describes a Chinese stock-selection screen for robot-related companies. Its initial criteria are strong fund flow intensity, circulating market capitalization below 10 billion yuan, and a rising 30-day moving average. The final proposed screen adds…

股票動能技術指標因子投資
SuperMind

This post outlines a Chinese equity screen combining daily price amplitude above 1%, total market capitalization no greater than 10 billion yuan, positive net profit over the latest four quarters, and circulating market capitalization above 10 billion yuan.…

股票技術指標風險管理
SuperMind

This Chinese-language post describes a short-term stock screen that selects shares with turnover between 3% and 12%, a listing on the previous day’s trading榜, and an intraday amplitude above 1. It presents these as proxies for trading activity and price…

股票技術指標動能
SuperMind

This post describes a short-horizon Chinese stock screen that ranks stocks by capital-flow strength, selects those with afternoon net inflows from large orders, and requires more than two limit-up days in the previous ten days. It suggests using turnover and…

中國市場股票動能突破
BigQuant

This Chinese-language note describes a stock prediction exercise using four cross-sectional inputs: total market capitalization, turnover, trailing price-to-earnings, and quarterly net-profit year-over-year growth. It compares linear regression, XGBoost, and…

中國市場股票因子投資機器學習
Qlib

This configuration defines a Qlib workflow that trains an ordinary least squares linear model on Alpha158 features for CSI 500 stocks. The data spans 2008 through mid-2020, with training through 2014, validation in 2015–2016, and testing from 2017 onward.…

中國市場股票機器學習回測
ProRealCode

The document presents a logarithmic Garman–Klass estimator that uses open, high, low, and close prices to estimate realized or historical volatility. It forms log returns for close-to-close, close-to-open, open-to-previous-close, and high-to-low moves. The…

波動率統計技術指標
MQL5 code base

The document describes a chart indicator built around a TimeZonePivots channel. It marks candlesticks that extend beyond the channel’s upper or lower limits, using candle colors to distinguish whether the move agrees with the prevailing trend. Trend-aligned…

技術指標突破趨勢追蹤
SuperMind

This stock screen combines three conditions: a rising 30-day moving average, a 60-day moving average below 60, and convergence among the 20-, 50-, 100-, 200-, and 60-day averages. The post frames the five averages as short-, medium-, and long-term trend…

股票中國市場技術指標趨勢追蹤
MQL5 code base

The document describes a MetaTrader indicator that marks five price-action concepts: breaks and changes in market structure, order blocks, fair value gaps, equal highs and lows, and buy or sell signals. Swing pivots use a configurable lookback; a break…

技術指標突破風險管理
MQL5 code base

This MetaTrader Expert Advisor uses a custom Breakout Bars Trend indicator to trade trend reversals. It opens a position when the indicator changes direction, or can wait until the current reversal follows a configured number of false signals. A signal is…

外匯趨勢追蹤突破風險管理
SuperMind

This A-share screening rule filters for turnover between 3% and 12%, excludes Beijing-listed shares, and requires 2021 revenue to exceed 2018 revenue by a factor greater than 1.1. The stated aim is to find companies with revenue growth while retaining a…

股票中國市場因子投資風險管理