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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 Expert Advisor uses the Kolier SuperTrend indicator with moving-average crossings to generate trade entries. A signal is acted on when the bar closes and a square of the corresponding color appears. The description specifies that the EA relies on the…

外匯技術指標趨勢追蹤回測
MQL5 code base

This document describes a basic MetaTrader 4 Expert Advisor that trades using the Stochastic oscillator. Its indicator parameters can be changed through the EA inputs, letting learners explore how different settings affect its signals. The text frames the…

外匯技術指標回測
SuperMind

This Chinese equity screen looks for stocks in the metaverse sector that closed above their 250-day moving average on the previous day and had at least one limit-up event during the prior month. The long moving average acts as a price-trend filter, while the…

股票中國市場動能技術指標
MQL5 code base

The document describes the Oracle trading indicator as a forecasting tool that redraws its values four bars ahead. It notes that the indicator’s strong promotional description is disputed, and that redrawing makes its apparent past signals difficult to…

技術指標外匯
SuperMind

This stock screen combines three filters: a daily high-to-low range above 1% of the previous close, a ticker beginning with 60, and a prior-day main-fund flow condition. The accompanying indicator formula and Python example express the flow condition as a…

股票中國市場波動率
SuperMind

This Chinese equity screening rule selects stocks from 2021 with a 9:25 a.m. price rise below 6%, then ranks them by capital strength from highest to lowest. The stated goal is to favor the highest-ranked names after applying those two filters. The document…

股票中國市場
vn.py community

This VeighNa forum exchange discusses how to obtain current account funds through the CTP trading interface. A user asks whether account balances can be retrieved synchronously, like an HTTP request, rather than through asynchronous updates. A reply points…

期貨交易執行市場微結構
SuperMind

This Chinese-language post outlines an equity screen requiring price amplitude above 1, a high equal to the highest high of the current and previous day, and at least one limit-up event during the prior 25 days. It frames the conditions as a way to find…

股票波動率動能突破
SuperMind

This Chinese-language post describes an equity screen combining a volatility condition, at least one daily gain of 10% or more in the prior 25 trading days, and a stock concentration measure below 20%. It also proposes adding fundamental and valuation…

股票動能波動率技術指標
MQL5 code base

This short description presents a Fast Stochastic oscillator variant that aims to reduce noise and lets users select the indicator timeframe through an input parameter. The example timeframe is four hours. It also notes that the indicator depends on a…

技術指標期貨
backtesting.py

This tutorial shows how to build a long-only moving average crossover strategy by combining reusable strategy components from a Python backtesting library. It turns the relationship between a short and a longer moving average into entry signals, allocates…

股票趨勢追蹤技術指標風險管理
SuperMind

This stock selection rule combines a turnover range of 3% to 12%, three consecutive declining sessions, and a reported control ratio above 21%. The article frames the high control ratio as a sign of concentrated holdings or buying by large investors, while…

股票中國市場技術指標均值回歸
SuperMind

This document proposes a stock screen requiring a daily price amplitude above a stated threshold, MACD above its zero line, and membership in the metaverse concept group. It presents the concept theme as an additional selection dimension and gives indicator…

股票技術指標動能中國市場
TqSdk

This reference explains advanced order instructions for futures and options trading through TqSDK. It compares ordinary limit orders, FAK orders that cancel any unfilled remainder, and FOK orders that cancel unless the full quantity can execute immediately.…

交易執行期貨選擇權市場微結構
SuperMind

This document outlines an equity screen combining a metaverse industry classification, an arc-shaped price pattern, and shortening green bars in a 15-minute MACD histogram. Its accompanying formula also applies price-range and moving-average conditions,…

股票技術指標中國市場風險管理
SuperMind

This note describes an A-share screening approach that combines a daily high-low range greater than one percent, at least one limit-up session during the previous 25 days, and current volume above its 21-day average. The accompanying Python example adds a…

股票技術指標動能波動率
BigQuant

This meetup page collects questions about quantitative trading on the BigQuant platform. Topics include searching for holding-period parameters in a default stock-ranking template, defining reusable Python modules, and building a workflow for developing…

股票機器學習回測統計
SuperMind

This note presents an A-share stock screen combining a daily trading-range threshold, at least one limit-up session in the prior 25 days, and current volume above its 21-day average. Its sample formulas also add a condition that the current low is close to…

股票技術指標動能波動率
SuperMind

This A-share stock-selection rule looks for daily amplitude above one, large-order net volume above 0.05 for at least three consecutive days, current volume above 10,000 lots, and an opening price higher than the previous close. The document frames these…

股票技術指標市場微結構中國市場
Qlib

This configuration describes a Qlib machine-learning workflow that trains a CatBoost regression model on Alpha158 features for CSI 300 instruments. It defines separate training, validation, and test periods, then records signal analysis and portfolio…

股票機器學習回測投資組合建構
SuperMind

This A-share stock screen combines a positive MACD reading, positive price-to-earnings ratio, and an opening gap between -2% and 5% relative to the previous close. The document presents MACD above zero as a trend filter, positive P/E as a basic valuation…

股票技術指標動能中國市場
SuperMind

This stock-screening proposal selects companies assigned to the metaverse industry, displaying a rounded price pattern, with the opening price less than 6% above the previous close. It frames the price-shape condition as a custom indicator and uses the…

股票技術指標中國市場動能
BigQuant

This article proposes a defensive equity strategy that seeks oversold rebounds or bounces after a pullback. It draws inspiration from research on money-flow factors, including inflow, outflow, net institutional flow, and opening net flow, and proposes…

股票均值回歸因子投資機器學習