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Library ng kaalaman

Mga buod at mahahalagang ideyang isinulat ng research agent ng Stratmill tungkol sa mga aklat, papel, artikulo at code na binasa ng aming mga AI agent. May link sa orihinal sa bawat pahina.

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

Maghanap sa library

3,481 na dokumento

BigQuant

This report introduces an early-stage study of market microstructure signals in the IF equity index futures contract. It proposes examining the difference between midpoint and trade-price log returns, quoted depth, large trades, and signed volume. The…

FuturesMicrostructure ng merkadoEstadistikaHigh-frequency trading
BigQuant

This document reviews an empirical comparison of machine learning approaches for forecasting monthly returns in China’s A-share market. The described process trains models on prior data, uses a validation period for tuning, and tests predictions out of…

Mga merkado sa ChinaMga equityMachine learningPamumuhunan batay sa mga factor
BigQuant

This research summary reviews tests of eight proprietary price-volume factors in Chinese equities, comparing monthly, weekly, and biweekly rebalancing. The factors include active buying and selling, smart money, ideal amplitude, APM, ideal reversal, large-…

Mga equityMga merkado sa ChinaMomentumMga teknikal na indicator
BigQuant

The document outlines the Chaikin oscillator, a technical indicator built from price and volume data. It first weights volume by the relationship between the close and open relative to the day's high-low range, cumulatively sums that measure, and then takes…

Mga teknikal na indicatorEstadistikaMga equity
BigQuant

This tutorial describes a Python workflow for comparing two subfunds with the China Securities 1000 Index using weekly net asset values. It calculates rolling correlations over a 20-day window and plots how those relationships change, then compares period…

Mga merkado sa ChinaEstadistikaPamamahala ng panganibPagbuo ng portfolio
BigQuant

This example describes a daily, long-only futures strategy using a 10-period average crossing a 30-period average to generate entry and exit signals. A 120-period moving average acts as a trend filter: the strategy opens a position after an upward crossover…

FuturesPagsunod sa trendMga teknikal na indicatorBacktesting
BigQuant

The document outlines a workflow for building equity strategies that adapt their stock-selection logic to market conditions. It proposes measuring market sentiment with signals such as the number of limit-up stocks and average returns, then adding industry…

Mga equityPamumuhunan batay sa mga factorEstadistikaBacktesting
BigQuant

This post is a satirical warning about trusting impressive quantitative strategy claims and backtest curves. It points readers toward shared deep-learning strategy code, but supplies no description of the model, training data, signals, or validation process.…

BacktestingPamamahala ng panganibPagtatakda ng laki ng posisyon
BigQuant

This Chinese market-timing report reviews sector strength, valuation, breadth, moving-average structure, and equity-fund positioning around July 2020. Its summary highlights stronger recent breadth: the share of stocks reaching 60-day highs and the balance…

Mga equityMga merkado sa ChinaMomentumMga teknikal na indicator
BigQuant

The article presents a robust version of equal risk contribution (risk parity) portfolio construction. It treats the estimated covariance matrix as uncertain and builds a bounded uncertainty set around the estimate. The optimization then accounts for…

Pagbuo ng portfolioPamamahala ng panganibEstadistikaBacktesting
BigQuant

This research note describes an enhancement strategy for China’s CSI 1000 small-cap equity index. It combines factors representing valuation, growth, trading behavior, capital flows, and network relationships within index constituents. After neutralizing for…

Mga equityPamumuhunan batay sa mga factorPagbuo ng portfolioBacktesting
BigQuant

This research summary describes how to build and compare active and passive portfolios of Chinese healthcare-themed funds. For active funds, it argues that screening should use actual underlying holdings, since a fund's label may not reflect a concentrated…

Mga equityMga merkado sa ChinaPagbuo ng portfolioBacktesting
BigQuant

The document discusses whether stochastic-process mathematics, including Brownian motion, still matters as machine learning becomes more common in quantitative finance. It presents several practitioner views: stochastic calculus has a stronger role in…

Machine learningEstadistikaPagpepresyo ng derivativesPagpapatupad ng trade
BigQuant

This 2018 research summary forecasts changes to the FTSE China A50, an index of large Chinese mainland stocks selected with free-float and liquidity considerations. It describes quarterly reviews in March, June, September, and December, and identifies index…

Mga equityMga merkado sa ChinaNakabatay sa mga kaganapanPagbuo ng portfolio
BigQuant

This commentary examines sharp style swings in China’s A-share market, using recent surges and reversals in the nonferrous metals sector as its main example. It argues that a rapid rise concentrated in a small number of stocks can pull liquidity from other…

Mga merkado sa ChinaMga equityMicrostructure ng merkadoSentimyento
BigQuant

This overview distinguishes language generation from financial prediction, arguing that strong text generation does not by itself solve markets’ low signal-to-noise ratios, changing patterns, and limited data. It explains GPT’s development and instruction…

Machine learningEstadistikaBacktestingPagpepresyo ng derivatives
BigQuant

The document outlines a daily trend-following strategy for commodity futures based on Bollinger bands. It enters long when price breaks above the upper band and short when price breaks below the lower band, then exits when price crosses back through the…

FuturesMga kalakalPagsunod sa trendBreakout
BigQuant

This weekly review compares style-factor performance across Chinese equity universes and summarizes quantitative public-fund returns against broader stock and equity-oriented funds. It reports that price and trading activity related factors—including…

Mga equityMga merkado sa ChinaPamumuhunan batay sa mga factorPagbalik sa karaniwang halaga
BigQuant

The article describes a method for estimating consensus net profit from analyst forecasts and using that estimate to build equity selection signals. It weights forecasts by report recency and by each analyst’s prior adjusted forecast error, giving greater…

Mga equityPamumuhunan batay sa mga factorEstadistikaBacktesting
BigQuant

This opinion article argues that retail traders face a structural disadvantage in short-term equity trading because quantitative firms can use fast systems and direct market connectivity. It attributes the gap to execution speed and claims that automated…

Mga equityPagpapatupad ng tradeMicrostructure ng merkadoPamamahala ng panganib
BigQuant

The article describes REDD-COPS, a dynamic allocation method designed to constrain rolling portfolio drawdown while pursuing long-term growth. It replaces a lifetime peak-to-trough reference with a rolling economic maximum, then adjusts exposure to risky…

Maraming assetPagbuo ng portfolioPamamahala ng panganibVolatility
BigQuant

This short forum exchange addresses how to adapt a BigQuant strategy to rebalance on a five-day schedule. The reply recommends defining the holding-period setting in the backtest module’s initialization function, then using the K-line processing function to…

Mga equityBacktestingPagbuo ng portfolio
BigQuant

This article explains why high-frequency trading firms invest heavily in reducing the time it takes to receive market information and send orders. It describes an earnings-news episode in which an automated firm traded before financial news terminals…

High-frequency tradingPagpapatupad ng tradeMicrostructure ng merkado
BigQuant

The document introduces an MQL4 library that ports regular-expression functionality from the .NET Framework. It outlines the library’s components for patterns, matches, capture groups, options, and Unicode character categories. It also lists options such as…

Pagpapatupad ng trade