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

vn.py community

This short forum exchange addresses how to detect an invalid order price before submitting an order through VeighNa. The response says the framework does not generally filter prices in advance, although its graphical interface prevents users from entering…

交易執行期貨
Hummingbot docs

This recap describes Hummingbot Miner’s first year, during which token issuers used rewards to attract decentralized market makers. It reports campaign participation, reward payouts, filled trading volume, and activity across Binance and a new KuCoin launch.…

加密貨幣做市市場微結構交易執行
SuperMind

The proposed screen selects main-board stocks with circulating market value between 5 billion and 10 billion yuan, turnover between 3% and 12%, and a stated daily maximum decline between 4% and 5%. The article presents the filters as a way to find stocks…

中國市場股票技術指標風險管理
MQL5 code base

This Expert Advisor trades when the ColorZeroLagTriX indicator cloud changes color. It forms a signal at bar close when the oscillator crosses its signal line, making the method dependent on a confirmed closing-bar crossover rather than an intrabar move. The…

外匯技術指標回測
MQL5 code base

The indicator compares three moving averages whose configured periods must increase from the first average to the second and then the third. It colors the display green when all three averages are ordered from highest to lowest, and red when they are ordered…

技術指標趨勢追蹤
SuperMind

This stock-selection post describes a screen using three short-term conditions: a positive ten-day return below 35%, daily amplitude above 1%, and a stated concentration measure below 20%. It frames these filters as a way to identify stocks with recent gains…

中國市場股票技術指標風險管理
SuperMind

This community post proposes a Chinese stock screen within the metaverse industry. It filters for prior-session actual turnover between 3% and 28%, an opening-auction price move ranked among the strongest in the market, and combined net buying by very large…

中國市場股票市場微結構交易執行
BigQuant

This weekly Chinese equity research note reviews long-short screens built from high-frequency and technical factors. The listed signals include return skewness, downside volatility share, opening-period buying interest and large-order flows, reversal,…

中國市場股票高頻交易因子投資
MQL5 code base

The Aroon Up and Down indicator tracks how recently a chart has made local highs and lows, using a configurable lookback period. Its lines can be used to identify when prices rise from a recent low or decline from a recent high, with line crossings presented…

外匯技術指標
BigQuant

This article reviews global equity factor performance in the third quarter of 2021 and compares defensive factor positioning. It reports that momentum and low residual volatility led the pure factor results, while liquidity lagged. Regional index outcomes…

股票因子投資動能波動率
SuperMind

This article reviews global equity factor performance in the third quarter of 2021 and compares defensive factor positioning. It reports that momentum and low residual volatility led the pure factor results, while liquidity lagged. Regional index outcomes…

股票因子投資動能波動率
SuperMind

This Chinese-language article describes an equity screen for Shenzhen main-board stocks associated with the metaverse theme. It selects stocks with a positive return, positive price-to-earnings and price-to-book ratios, and upper bounds on both valuation…

股票中國市場因子投資
MQL5 code base

This chart indicator adapts the stochastic volatility concept to highlight periods when volatility is unusually low. It marks candidate bars with red lines in a separate indicator window and red candles on the price chart. The author suggests these periods…

波動率技術指標
SuperMind

This document outlines a stock-selection screen that ranks securities by capital strength and requires weekly MACD to be above zero, alongside a year-based filter referring to 2021. It explains capital strength through trading volume and value, and describes…

中國市場股票動能技術指標
SuperMind

This document presents a Chinese equity screen for Shenzhen Main Board stocks, combining turnover from 3% to 12%, circulating market capitalization from 5 billion to 10 billion, price-to-earnings ratio from 0 to 29.01, and price-to-book ratio from 0 to 3.11.…

中國市場股票因子投資統計
SuperMind

This document proposes screening stocks whose codes begin with 60, keeping those with turnover between 3% and 12%, then ranking them by a measure described as capital strength. The commentary presents the ranking as a way to identify actively financed market…

中國市場股票交易執行
SuperMind

This document describes a Chinese stock screen using amplitude above 1, a stated K-line value below 20, and prior-day actual turnover between 3% and 28%. It presents these conditions as a way to find stocks with notable price movement and moderate trading…

中國市場股票技術指標機器學習
ProRealCode

This indicator combines smoothed Heikin-Ashi candles with a stochastic oscillator and a moving-average condition to mark possible entries and exits. The described logic treats rising Heikin-Ashi candles as bullish and falling candles as bearish, while candle…

技術指標動能選擇權趨勢追蹤
SuperMind

The post proposes screening Chinese equities for elevated daily range, at least one daily gain of 10% or more during the past 25 trading days, and a pre-open price change below 6%. It then extends the screen with company and industry comparisons, including…

股票中國市場動能波動率
SuperMind

This stock screen combines a metaverse-concept filter with a simple price condition: the current close must be above the previous session’s low. It also excludes Beijing-listed A shares. The document gives corresponding indicator logic and a Python example,…

股票中國市場技術指標部位規模
SuperMind

This Chinese-language post proposes screening stocks using turnover, displayed best-level bid and ask volume, and large-order net inflow. Its final selection rule requires turnover between 3% and 15%, bid volume greater than ask volume, and large-order net…

股票市場微結構技術指標統計
MQL5 code base

The Trend Risk indicator estimates a smoothed price and a smoothed high-low range, then uses a deviation multiplier to form upper and lower channel boundaries. A close above the upper boundary or below the lower boundary places the boundary value in a signal…

技術指標趨勢追蹤突破風險管理