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

3,012 份文件

MQL5 articles

The article explains how FP-Growth can mine associations among binary features in historical trading data. Unlike Apriori, which repeatedly scans the database to evaluate candidate patterns, FP-Growth builds a tree representation and performs subsequent…

機器學習統計回測
MQL5 articles

This installment in the DoEasy library series explains how multi-symbol, multi-period standard indicators can be adapted for MQL4 compatibility. It contrasts MQL5’s separate data, color, and calculated buffers with MQL4’s monochrome buffers, where each…

技術指標交易執行
MQL5 articles

This article compares MQL4’s blocking Sleep function with timer-based pauses for Expert Advisors and indicators. The alternative records a pause’s expiry time and checks it during later code execution, allowing unrelated work to continue while waiting. It…

交易執行風險管理
MQL5 articles

This article describes LightGTS, a time-series forecasting framework designed to handle datasets with different sampling scales and recurring periods. Its central method is adaptive periodic patching: estimate or otherwise determine a series’ cycle length,…

機器學習統計多資產
MQL5 articles

This note explains common numeric errors in MQL4 Expert Advisors, focusing on how double-precision values are stored, displayed, compared, and converted to integers. It recommends printing values at higher precision to diagnose unexpected results, accounting…

統計交易執行風險管理
MQL5 articles

The article explains unsupervised learning and applies k-means clustering to trading data. Without labeled target values, clustering groups observations represented as feature vectors by assigning them to nearby centers. The cluster count is a model…

機器學習統計外匯
MQL5 articles

The article introduces empirical mode decomposition (EMD) as a way to break a complex time series into oscillatory components called intrinsic mode functions, plus a residual. Unlike Fourier and wavelet methods that use a selected basis, EMD derives its…

統計技術指標
MQL5 articles

The article presents MQL5 classes modeled on Python’s time and date utilities, including time-of-day, date, datetime, time-zone information, and time intervals. It explains validation of time fields and describes operations for parsing and formatting time…

統計回測
MQL5 articles

The article describes a local communication system for multiple MetaTrader 5 Expert Advisors. A broker EA hosts a named pipe, receives typed messages from slave EAs, records sender state, aggregates risk, and displays sender activity on a dashboard. The…

風險管理投資組合建構交易執行
MQL5 articles

This article describes revisions to a candle-counting strategy that starts a series of positions when bullish or bearish candles dominate a sample. It identifies weaknesses in fixed window lengths and thresholds, frequent entries, fixed basket exits, and…

外匯統計網格交易風險管理
MQL5 articles

This introductory guide explains object-oriented programming and shows how its concepts apply in MQL5. It defines classes as templates and objects as instances, then outlines encapsulation, abstraction, inheritance, and polymorphism. The article connects…

技術指標
MQL5 articles

The article reviews the Ilan Expert Advisor, which averages into losing positions using a grid and increasing trade sizes, then closes the basket near its average entry price. It explains why this approach can perform during quiet, sideways markets yet face…

網格交易機器學習風險管理部位規模
MQL5 articles

The article derives price indicators from triangular and sawtooth window functions. It explains how combining moving-average coefficients produces a triangular weighting pattern, then extends the construction with multiple wave periods and separated…

技術指標趨勢追蹤均值回歸風險管理
MQL5 articles

The article describes a Time-MoE forecasting architecture that represents each time step as a token, processes temporal context with transformer blocks, and predicts across multiple horizons. Its focus is the sparse mixture-of-experts component: a router…

機器學習統計多資產
MQL5 articles

The article distinguishes genuinely adaptive indicators from filters that only appear to adapt. Averaging recent forecast errors changes the effective linear weights, but the resulting indicator is still a fixed linear combination of past prices. Laplace…

技術指標統計趨勢追蹤
MQL5 articles

The Turtle Shell Evolution Algorithm (TSEA) is a population-based optimization method that arranges candidate solutions in a shell-like structure. It groups solutions vertically by fitness and horizontally by location, with limited capacity in each cell.…

統計機器學習回測
MQL5 articles

This article describes an Expert Advisor built for the constraints of the 2008 Automated Trading Championship. It combines three strategy slots, each with its own parameters, while using paired long and short entry logic and shared identifiers so that each…

交易執行風險管理部位規模技術指標
MQL5 articles

This article explains how to program an indicator that marks order block zones using candlestick patterns and volume. Its basic method looks for runs of consecutive bullish or bearish candles and applies geometric checks to candle bodies and extremes to…

技術指標動能市場微結構交易執行
MQL5 articles

The article presents MetaTrader 5 as an environment for moving an AI trading idea from research into a testable Expert Advisor. It describes using terminal data in Python for analysis and feature preparation, exporting trained models through ONNX for use in…

機器學習回測交易執行外匯
MQL5 articles

This article describes an MQL5 tool for assessing how multiple Expert Advisors interact as a portfolio. It reads daily profit-and-loss series and trading-time metadata from CSV files, calculates pairwise Pearson correlations, and examines activity by hour…

投資組合建構統計風險管理回測
MQL5 articles

The article presents orthogonal polynomials as a way to smooth financial price series and extract components associated with averages, trends, and nonlinear shapes. It outlines Legendre, Chebyshev, Laguerre, and Hermite families, describes mapping prices…

技術指標均值回歸統計機器學習
MQL5 articles

The document explains a hybrid Time Price Opportunity (TPO) market profile indicator for chart-based session analysis. It divides prices into a configurable grid and counts how often each price level appears across time periods within a session. The level…

技術指標市場微結構突破外匯
MQL5 articles

This article describes a workflow for developing, optimizing, and deploying a multi-currency Expert Advisor built from simple trading strategies. It separates reusable library code from project-specific strategy code, then organizes parameters and…

多資產投資組合建構回測部位規模