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
WonderTrader
14 份文件
Alphalens
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 reports a backtest of a long-only strategy labeled TV_RSI on hourly BTC-USDT candles from Binance. It covers 493 days, from January 1, 2020, through May 8, 2021. The report lists 94 closed trades, a 179.25% total net profit, a 27.04% maximum…

加密貨幣現貨市場技術指標回測
ProRealCode

This indicator recreates an Ichimoku-like display using moving averages. It assigns three average periods, described as Fibonacci-based, to replace the original components: a fast average, a slower average, and a third average used for the cloud. The…

技術指標趨勢追蹤
BigQuant

This article explains why selecting useful input features matters in predictive modeling. Irrelevant variables can add training time, contribute to overfitting, and make it harder for a model to generalize. Feature selection is presented as a way to reduce…

機器學習統計
MQL5 code base

This indicator classifies candles by dividing the distance between each bar’s high and low into three equal sections. It then compares where the open and close fall within those sections to determine a bullish or bearish pattern. The resulting display is…

技術指標統計
Amberdata research

This weekly market review describes how a rally in Bitcoin and Ether affected realized and implied volatility, option skew, term structure, trading flows, and dealer gamma. It reports that volatility rose with spot prices, call premiums deepened—especially…

加密貨幣選擇權波動率衍生品定價
BigQuant

This forum post responds to a question about selling after a 10% gain or cutting a position after a 10% loss. The included example checks open equity positions against current prices, retrieves the highest price since purchase, and exits when price falls 7%…

股票風險管理交易執行
SuperMind

This article translates Steve Leuthold’s value-investing approach into a monthly stock-selection method for Chinese equities. It ranks candidates using low price-to-book, price-to-earnings, and price-to-cash-flow ratios relative to market averages, alongside…

股票因子投資回測風險管理
SuperMind

This post presents a short-term equity selection screen using three signals: more than two limit-up sessions in the prior ten days, RSI below 65, and ranking by capital-flow strength. It interprets the RSI threshold as leaving room for further gains, capital…

股票動能技術指標市場微結構
SuperMind

This Chinese-language post describes an equity screen combining daily price range, five years of return on equity above 15%, and a daily price change between −5% and 2.6%. It also proposes adding a price-to-book ratio no higher than five and revenue growth…

股票因子投資技術指標中國市場
SuperMind

This document proposes screening stocks in the metaverse sector for a recent limit-up event and greater volume on the best bid than on the best ask. It specifies selecting during the morning, before 10:00, for same-day trading. The post includes example…

股票中國市場技術指標市場微結構
BigQuant

This article describes a daily process for building a watchlist of strong stocks. After the close, rank shares by traded value and keep the top 30. From that group, look for stocks rising more than 3% on increased volume, giving extra attention to volume…

股票動能突破技術指標
SuperMind

This document proposes a Chinese A-share selection screen combining a relative strength index below 65 with a ratio of external to internal trades above 1.3. It also filters for a product of the prior day’s turnover rate and the ratio of current auction…

股票技術指標中國市場市場微結構
MQL5 code base

This trading expert advisor opens and closes positions at user-specified times, with the time inputs interpreted to the minute. Before opening a position, it applies a directional moving-average condition: a buy requires the fast average on the first bar to…

技術指標交易執行風險管理
SuperMind

The strategy rotates among China’s four largest banks using each stock’s current price relative to the previous close. When flat, it buys the bank with the weakest ratio if the spread between the strongest and weakest ratios exceeds a preset threshold. When…

股票均值回歸配對交易交易執行
SuperMind

This A-share selection method requires MACD to be above its zero line, parent-company net profit growth to be greater than 20% and no more than 100%, and more than two limit-up days within the past ten days. The examples show a possible weekly screening…

股票動能技術指標中國市場
SuperMind

This document describes an A-share stock screen combining turnover of 3%–12%, a daily gain above 1%, main-board listing, and a top-50% return rank for 2021. It explains the turnover band as a way to focus on active stocks while avoiding extreme activity, and…

股票動能技術指標中國市場
Hummingbot docs

In this interview, market maker Harry Yeh discusses applying electronic trading and Hummingbot to cryptocurrency market making. He stresses that operators need to understand limit orders, bid-ask spreads, order levels, parameters, and cancellations before…

加密貨幣做市高頻交易波動率
MQL5 code base

This document describes a historical analysis script intended to help day traders identify the times and days when a strategy performs best. It focuses on win-loss ratio and reward-risk ratio as measures for comparing strategy outcomes across trading…

統計回測風險管理
MQL5 code base

This Expert Advisor trades changes in the direction of the FineTuningMA moving average. It forms a signal when a bar closes and the indicator direction has changed, making the strategy dependent on the indicator and bar-close timing. The EA requires a…

外匯技術指標回測
MQL5 code base

DayRVI is an intraday Relative Vigor Index indicator whose lookback period is set automatically from the number of bars in the current day. It is intended for chart timeframes from one minute to one day, with the recommendation to use it as an input to…

技術指標
BigQuant

This Chinese-language article introduces a workflow for building custom stock-selection strategies on the older BigQuant platform. It contrasts platform-generated AI strategies, which learn from selected factors but may be difficult to interpret or tune,…

股票因子投資回測機器學習
Kraken Learn

The document defines a stablecoin depeg as a departure from the value the token is intended to track. It uses a dollar-pegged token falling below its target as an illustration. It notes that small deviations can occur when liquidity is insufficient, while…

加密貨幣風險管理現貨市場
Hyperliquid docs

The document explains how delisting works for validator-operated perpetual contracts. Validators vote on whether an asset should be removed; if they approve delisting, the contract settles at the one-hour time-weighted spot oracle price from before the…

加密貨幣永續期貨衍生品定價交易執行