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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
Quantpedia
86 份文件
TqSdk
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

NautilusTrader

This guide describes how NautilusTrader builds and maintains positions from fills. It covers signed exposure, average entry and exit prices, realized and unrealized PnL, commissions, funding adjustments, and closure when net quantity reaches zero. It…

交易執行風險管理部位規模永續期貨
MQL5 code base

This brief indicator description explains that momentum expresses the relationship between a current price and the price a chosen number of periods earlier. It describes a visual display in which the indicator receives different color fills depending on…

動能技術指標
SuperMind

This Chinese equity screening idea combines an RSI threshold below 65 with a circulating market value between 5 billion and 10 billion yuan and more than two limit-up days in a 10-day window. The stated rationale is to find relatively strong short-term…

股票動能技術指標中國市場
ProRealCode

Bridge Bands combine a price-based Bridge Range, Bollinger Bands, and a Hurst exponent to create a changing range around a security’s price. The described weighting uses Bollinger Bands when the Hurst estimate is near 0.5; as the estimate moves farther from…

技術指標波動率趨勢追蹤風險管理
SuperMind

This document describes a stock screen combining three conditions: amplitude above 1, a shortening negative MACD histogram on a 15-minute chart, and positive net buying attributed to major participants during the auction. The stated rationale is to find…

股票技術指標動能中國市場
MQL5 code base

This trading system uses a color change in the JBrainTrend1Stop indicator at bar close as its entry signal. It adds to an existing trend-following position when open profit, measured in points, passes a threshold set in the Expert Advisor inputs. Position…

外匯趨勢追蹤部位規模回測
SuperMind

This note proposes selecting Chinese stocks associated with both the metaverse theme and beverage or alcohol import-export businesses, subject to prior-day actual turnover between 3% and 28%. It frames thematic exposure as a possible source of growth and…

股票中國市場市場情緒風險管理
SuperMind

This note describes a simple China A-share stock screen combining a turnover range of 3% to 12%, market capitalization below 10 billion yuan, no reported loss, and a closing price of 18.5 yuan. It presents the screen as a way to identify candidates for…

股票中國市場風險管理
SuperMind

This document presents a daily stock-selection screen based on three price conditions: an intraday range greater than 1%, a reversal or engulfing-style candle pattern, and a daily return between -5% and 2.6%. It characterizes the idea as a possible…

股票中國市場均值回歸技術指標
Cryptohopper blog

This guide explains support and resistance as price areas where buying or selling pressure may stall or reverse a market move. It recommends starting with horizontal levels drawn around prior turning points, while emphasizing higher-timeframe references such…

加密貨幣技術指標突破風險管理
SuperMind

This document describes a simple daily stock screen combining a turnover-rate band, the sign of a price-change and large-order-flow product, and a comparison of consecutive daily lows. It selects stocks with turnover between 3% and 12%, a positive product of…

股票中國市場技術指標市場情緒
SuperMind

The post proposes a stock screen requiring MACD above zero, positive trailing price-to-earnings, and previous-day turnover above 60 million. It says selection is performed before 10 a.m. and suggests sorting qualifying stocks by turnover. The stated…

股票中國市場技術指標動能
OctoBot

This guide explains how to connect OctoBot’s GPT interface to a language model for trading evaluations. For OpenAI, it describes adding an API key in the interface configuration, enabling the GPTEvaluator, and choosing a model through evaluator settings. It…

機器學習加密貨幣交易執行
MQL5 code base

The document describes an Expert Advisor that uses a three moving average cross to trigger trades and MACD as an additional entry check. A later update adds fixed percentage risk sizing and sets stop loss and take profit levels from ATR ranges, linking…

技術指標趨勢追蹤風險管理部位規模
vn.py community

A forum exchange clarifies whether a strategy can retrieve tick data for futures product indices or weighted continuous contracts, using iron ore and an example continuous symbol. The reply explains that symbols ending in a continuous-contract convention are…

期貨市場微結構回測
SuperMind

The proposed stock screen combines three signals: intraday amplitude above a stated threshold, ranking among the top five by that day’s auction amount, and short moving averages ordered above longer ones. The accompanying rationale treats amplitude and…

股票技術指標動能
BigQuant

This research note describes two revisions to AlphaNet, a neural model that learns stock selection factors from raw price and volume data. Version two adds ratio features, replaces pooling and dense layers with an LSTM to capture temporal patterns, and gives…

股票機器學習因子投資回測
SuperMind

The document presents a Chinese equity screening rule: select stocks whose codes begin with 60, whose turnover rate falls between 3% and 12%, and that did not hit the upper price limit on the previous day. It also includes a Python example that retrieves a…

中國市場股票技術指標
FMZ forum

The post describes a time-based controller for starting and stopping automated domestic futures trading robots. It checks the current time and weekday, uses a status flag to avoid repeated starts, and calls platform functions to restart or stop two named…

期貨交易執行風險管理
MQL5 code base

The document explains a Fisher Transform oscillator for price data. It first scales prices using a recent high-low range, smooths and bounds the normalized value, then applies a logarithmic transform and recursive blending. This process is intended to make…

技術指標統計均值回歸
SuperMind

This document presents a Chinese stock-selection screen using price amplitude, a concentration-related measure, and moving-average direction. Its initial description calls for amplitude above 1%, a concentration condition, and an upward 30-day average. A…

股票中國市場技術指標因子投資
MQL5 code base

This document describes a modified Pretty Good Oscillator (PGO) that allows its values to be smoothed with a Timm Morris moving average. The stated purpose of smoothing is to filter some false signals. It recommends interpreting crossings of the zero line as…

技術指標趨勢追蹤
SuperMind

This document describes a Chinese equity screening rule that selects metaverse-related stocks when an institutional-flow measure is positive and the prior day's actual turnover falls between 3% and 28%. It presents the conditions as a way to combine industry…

股票中國市場技術指標市場微結構
MQL5 code base

This FORTS Expert Advisor places limit orders around the best bid and ask when its spread condition is met. The spread input is measured in minimum price steps, so the threshold is converted using the instrument’s tick size. Once an order is accepted and a…

期貨高頻交易做市交易執行