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

This document explains the Simple Harmonic Oscillator (SHO), a bounded indicator intended to estimate market-cycle periods over short and intermediate horizons. It describes a centerline as a balance between bullish and bearish periods, with outer levels…

技術指標趨勢追蹤均值回歸回測
SuperMind

This post describes a Chinese equity screen combining recent large-order net buying, a high current-day position increase, and a historical dividend ratio threshold. It presents the flow conditions as signs of investor interest and the dividend filter as a…

股票中國市場市場情緒技術指標
BigQuant

The document describes a basic workflow for evaluating a trained quantitative model. After fitting the model on training data, apply it to a validation set, then compare its predictions with the observed values to assess performance. This separates model…

機器學習回測統計
Amberdata research

This podcast recap discusses how AI agents may interact with crypto assets and decentralized applications, alongside a vision for regulated DeFi that connects conventional banking with self-custodied digital assets. The guest describes agents as systems that…

加密貨幣去中心化金融機器學習衍生品定價
MQL5 code base

This expert-advisor design turns four RSI readings into a single weighted perceptron score. It uses RSI periods of 12, 36, 108, and 324, rescales each indicator around zero, and combines them with weights selected through optimization. The trading threshold…

外匯機器學習技術指標趨勢追蹤
BigQuant

This research summary explains how to build a machine-learning stock-selection process using historical factor values to predict subsequent returns. In the training stage, a supervised model learns the relationship between inputs and returns; in the testing…

股票機器學習因子投資回測
SuperMind

This Chinese-language post describes a daily stock screen combining turnover, recent price direction, prior-day trading value, and limit-up status. It selects stocks with turnover between 3% and 12%, three consecutive declining sessions, and prior-day…

股票中國市場技術指標動能
SuperMind

This stock-selection idea combines three technical conditions: at least five moving averages clustered together, positive returns, and more than two limit-up sessions within a ten-day window. The post interprets clustered averages as possible evidence of…

股票中國市場技術指標動能
MQL5 code base

This MQL5 demonstration illustrates supervised classification with a support vector machine (SVM), using a fictional animal-recognition task to explain labeled examples and learned decision boundaries. It generates seven-feature observations with rule-based…

機器學習統計回測
SuperMind

This stock-selection proposal combines three filters: daily amplitude above one percent, a proxy for afternoon large-order net inflow, and a gain below six percent at the 9:25 observation. The stated aim is to find shares with notable movement and buying…

股票中國市場技術指標市場微結構
SuperMind

The post outlines a Chinese equity screening rule combining three conditions: prior-session price amplitude above one percent, tradable share float no greater than 5.5 billion shares, and a positive prior-session main-fund control reading. It frames these…

股票中國市場動能技術指標
pysystemtrade

The document explains an exponentially weighted moving average crossover (EWMAC) forecast. It subtracts a slower exponential moving average of price from a faster one, then divides that difference by daily price volatility. A positive or negative result…

期貨趨勢追蹤動能波動率
MQL5 code base

The document describes a trend oscillator that estimates the dominant direction of candlestick closing prices over a selected period. It identifies two user settings: the lookback period and a calculation method. This positions the indicator as a way to…

技術指標趨勢追蹤
MQL5 code base

The note describes a way to smooth a relative strength index: apply Jurik-style smoothing to prices before calculating RSI. The stated motivation is to reduce false signals while keeping the result responsive to market changes. It presents the smoothed RSI…

技術指標動能
SuperMind

The proposed stock screen selects shares whose turnover rate is between 3% and 12%, that were listed in the current year, and whose actual turnover on the referenced prior day is between 3% and 28%. The article frames these conditions as a way to find…

股票技術指標交易執行風險管理
SuperMind

This stock screen combines three technical conditions: overlap among the 5-, 10-, 20-, 60-, and 120-day moving averages; a concentration measure subject to a stated threshold; and shortening green bars in the 15-minute MACD histogram. The document describes…

股票技術指標動能趨勢追蹤
MQL5 code base

The document describes a price gap indicator that displays gaps as a histogram. It assigns red bars to upward gaps, which it suggests may fill downward, and blue bars to downward gaps, which it suggests may fill upward. The proposed gap-filling direction is…

技術指標均值回歸回測
ProRealCode

The SSL Hybrid combines several moving average channels with ATR bands to show trend direction, possible continuation entries, exits, and volatility. SSL1 acts as the baseline trend signal: its color indicates bullish or bearish conditions, while a neutral…

技術指標趨勢追蹤波動率風險管理
MQL5 code base

This indicator defines a modified Detrended Price Oscillator as the closing price minus a moving average. Users can adjust the moving average period, calculation method, and applied price, allowing them to change the resulting curve. The description says…

技術指標均值回歸趨勢追蹤
MQL5 code base

This document describes a configurable chart indicator for identifying bullish and bearish divergence between price and an oscillator. It also includes hidden divergence, support and resistance lines, and optional channel displays. Users can select from a…

技術指標動能突破
Stratmill research code

This helper prepares spread changes and their lagged values as inputs for a regression model. It can expand the lag features with pairwise products, split a chosen in-sample period into ordered training and test sets, and keep a separate out-of-sample…

機器學習統計回測配對交易
SuperMind

This Chinese A-share screening proposal filters for stocks with an intraday range above 1% during 2021, then keeps observations where price change multiplied by an estimate of very large order flow is positive. The intended interpretation is that volatility…

股票中國市場市場微結構波動率
ProRealCode

This indicator method turns a stair-step moving average into the center of an oscillator. It updates the trend center when a triangular moving average moves beyond a configurable percentage threshold; otherwise, the prior center is retained. A short simple…

期貨技術指標高頻交易趨勢追蹤