Перейти до вмісту

Бібліотека знань

Огляди й ключові ідеї книжок, наукових праць, статей і коду, які читають наші ШІ-агенти. Їх підготував дослідницький агент Stratmill. На кожній сторінці є посилання на оригінал.

Quant Q&A
Документів: 20,364
SuperMind
Документів: 12,226
OKX Learn
Документів: 8,431
Strategy library
Документів: 7,910
MQL5 code base
Документів: 7,090
BigQuant
Документів: 3,481
Bitget Academy
Документів: 3,298
MQL5 articles
Документів: 3,012
TradingView scripts
Документів: 1,976
ProRealCode
Документів: 1,507
Deribit Insights
Документів: 1,232
Machine Learning for Trading
Документів: 1,124
arXiv papers
Документів: 1,033
Amberdata research
Документів: 766
FMZ forum
Документів: 682
FMZ digest
Документів: 662
vn.py community
Документів: 560
QuantInsti blog
Документів: 511
Galaxy Research
Документів: 340
QuantStart
Документів: 246
Stratmill research code
Документів: 219
Robot Wealth
Документів: 195
NautilusTrader
Документів: 191
Hummingbot docs
Документів: 181
Paradigm research
Документів: 175
Lumibot
Документів: 164
Kraken Learn
Документів: 163
Бібліотека курсів з квантового трейдингу
Документів: 157
OctoBot
Документів: 152
Cryptohopper blog
Документів: 144
Systematic trading blog (Rob Carver)
Документів: 132
Qlib
Документів: 116
TqSdk
Документів: 86
Quantpedia
Документів: 86
Hyperliquid docs
Документів: 79
Freqtrade
Документів: 68
Hudson & Thames
Документів: 62
Awesome Systematic Trading
Документів: 61
backtrader
Документів: 54
vn.py
Документів: 50
Binance API docs
Документів: 45
Лекції Quantopian
Документів: 45
FMZ guides
Документів: 38
pysystemtrade
Документів: 34
Freqtrade docs
Документів: 32
quant-trading
Документів: 31
FinRL
Документів: 28
Zipline
Документів: 22
FMZ live strategies
Документів: 21
Jesse
Документів: 17
pyfolio
Документів: 16
WonderTrader
Документів: 14
Alphalens
Документів: 14
backtesting.py
Документів: 11
Technical Analysis
Документів: 9
QTPyLib
Документів: 8
QuantRocket
Документів: 7
Lumibot strategies
Документів: 7
Awesome Quant
Документів: 1

Пошук у бібліотеці

Документів: 3,481

BigQuant

This note describes a stock risk factor based on the Sharpe ratio over a 20-day period. It defines the measure as annualized stock return minus a risk-free rate, divided by the stock return standard deviation. The stated risk-free rate is 0.04. The factor is…

АкціїФакторне інвестуванняУправління ризикамиСтатистика
BigQuant

The document introduces the True Strength Index (TSI), a price momentum indicator calculated from closing prices. It first measures the close-to-close change and its absolute value, then applies two exponential moving average smooths to each series. The…

Технічні індикаториІмпульсАкції
BigQuant

This research explores whether intraday price and volume relationships can improve stock selection. It builds three signals from price–volume correlation: its average level, its stability over time, and its trend. The average signal adjusts conventional…

АкціїРинки КитаюФакторне інвестуванняТехнічні індикатори
BigQuant

This report examines institutional investors’ holdings and style preferences, focusing on Chinese equities and summarizing US institutional ownership for context. It outlines four possible data sources for monitoring institutions: macro indicators, trading…

АкціїРинки КитаюФакторне інвестуванняФормування портфеля
BigQuant

This report describes ways to study institutional investors’ market footprint and preferences in Chinese equities. Because many institutions do not disclose complete holdings, it proposes classifying shareholder accounts from listed companies’ public…

АкціїРинки КитаюФакторне інвестуванняФормування портфеля
BigQuant

This report explains how to isolate a desired equity style factor while controlling exposure to other factors. It contrasts full replication, which reproduces modeled pure-factor returns but does not control ex ante risk, with constrained mean-variance…

АкціїФакторне інвестуванняФормування портфеляУправління ризиками
BigQuant

This review summarizes research on whether anchoring to a stock’s 52-week high helps explain why prices respond slowly to news about economically connected firms. Its central hypothesis is that investors underreact to good news about a customer when a…

АкціїІмпульсФакторне інвестування
BigQuant

This article proposes a visual exit technique combining a moving average with a horizontal line drawn from a recent swing high or low. For a long position, the trader marks a visible high, extends a horizontal reference, and treats the bar vertically aligned…

АкціїТехнічні індикаториСлідування за трендомУправління ризиками
BigQuant

This Chinese-language strategy note surveys ways to connect macro conditions, company fundamentals, valuation, and sector performance. It describes a credit and earnings framework for market regimes, a rolling stock-bond yield spread as a relative valuation…

АкціїРинки КитаюФакторне інвестуванняСтатистика
BigQuant

This research summary presents factor timing as a risk-control problem rather than solely as a return-forecasting problem. It proposes adjusting the upper and lower bounds on factor exposures in a portfolio, with those limits informed by factor risk,…

Факторне інвестуванняУправління ризикамиФормування портфеляБектестування
BigQuant

This Chinese-language brokerage research summary examines advanced driver-assistance systems in China, focusing on adoption, technology requirements, supplier roles, and domestic competition. It describes ADAS as a chain of perception, planning, decision,…

АкціїРинки КитаюМашинне навчання
BigQuant

This platform guide describes two ways to organize data preparation and simulated trading. In one workflow, a separate task cleans and stores factors, then a trading task consumes its output. In the other, one task first prepares and saves the data and then…

Виконання ордерівБектестування
BigQuant

The article discusses three reported Chinese equity-market changes: wider daily price limits for risk-warning stocks, expanded after-hours fixed-price trading, and revised ChiNext listing standards that place more weight on growth and research investment. It…

Ринки КитаюАкціїВиконання ордерівМікроструктура ринку
BigQuant

This overview introduces the Fama-French five-factor asset pricing model as an extension of the three-factor model. It describes the market risk premium, size, value, profitability, and investment-style factors, and explains each as a return spread between…

АкціїФакторне інвестуванняСтатистикаФормування портфеля
BigQuant

This strategy selects stocks that open above the previous close and have a five-day closing-price average above the ten-day average. Among qualifying stocks, it ranks by price-to-earnings ratio in ascending order and chooses the first ten; purchases are…

АкціїІмпульсТехнічні індикаториБектестування
BigQuant

This document summarizes the SEC’s 2019 adoption of Rule 6c-11, which lets many ETFs operate under the Investment Company Act of 1940 and list without seeking an individual exemptive order. It frames the rule around regulatory exemptions, custom creation and…

АкціїРинки СШАМікроструктура ринку
BigQuant

This student submission translates a Chinese stock trading pattern into explicit screening and trading rules. The setup looks for a declining session after a limit-up day, with current volume twice the prior day’s volume. The stock is then watched, with…

АкціїПробій рівняІмпульсТехнічні індикатори
BigQuant

The document presents a SQL query for calculating a stock’s five-day price return and ranking that return against other stocks on the same date. It uses a window function to retrieve each instrument’s close from five trading rows earlier, then computes the…

АкціїСтатистикаРинки Китаю
BigQuant

The document explains how to restrict a Chinese stock machine-learning dataset to shares that closed at their daily price limit, or to shares that hit the limit on the previous trading day. It describes filtering factor data by limit-status value and using a…

АкціїРинки КитаюМашинне навчанняБектестування
BigQuant

This guide explains how to monitor a StockRanker model’s validation performance during training. It recommends preparing a validation dataset, either from a separate data module or by reusing the training data, and connecting it to the model’s validation…

Машинне навчанняСтатистикаБектестування
BigQuant

This short indicator reference defines a Keltner Channel using high, low, and close price data alongside three parameters: the moving-average period, the ATR period, and a multiplier. It first calculates an average of true range over the selected ATR period.…

Технічні індикаториВолатильність
BigQuant

This document outlines a two-stock pairs strategy based on a presumed long-term cointegrating relationship. It fits a linear relationship between the stocks’ prices, calculates the residual, and standardizes that residual over a rolling history. When the…

АкціїПарна торгівляПовернення до середньогоБектестування
BigQuant

This article outlines a workflow for adding intraday monitoring and automated execution to a BigQuant equity strategy. Its premise is that factor calculations may produce a next-day trading plan only after the market closes, leaving no mechanism to react to…

АкціїВиконання ордерівМікроструктура ринкуРинки Китаю
BigQuant

This essay uses an unfinished introduction to a supposed futures reversal method to illustrate the appeal and danger of searching for secret signals. It does not describe a specific entry rule or demonstrate that any reversal strategy works. Instead, it…

Ф'ючерсиУправління ризикамиРозмір позиції