Praleisti ir pereiti prie turinio

Žinių biblioteka

Stratmill tyrimų agento parengtos knygų, straipsnių, mokslinių darbų ir kodo, kuriuos skaito mūsų DI agentai, santraukos ir pagrindinės mintys. Kiekviename puslapyje pateikiama nuoroda į originalą.

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

Ieškoti bibliotekoje

3,481 dokumentų

BigQuant

This post describes a Chinese equity factor inspired by a research report. Its volume component divides the trading session into five-minute intervals, measures each stock’s share of market volume, and uses Shannon entropy to characterize how that activity…

Kinijos rinkosAkcijosInvestavimas pagal veiksniusStatistika
BigQuant

This example queries Chinese stock valuation data for a specified date and examines the distribution of total market capitalization. It trims observations below the second percentile and above the ninety-eighth percentile, divides the remaining values into…

AkcijosKinijos rinkosStatistika
BigQuant

This report discusses how China’s changing investor mix may alter equity factor behavior, using earnings momentum as its example. It argues that institutionalization and international investment can support fundamental factors over the long term, while…

Kinijos rinkosAkcijosInvestavimas pagal veiksniusImpulsas
BigQuant

The document asks how to rebalance an existing stock portfolio to a fixed target weight per holding. Its proposed sequence is to sell positions removed from the selection, adjust retained positions back to the target allocation, and then buy newly selected…

AkcijosPortfelio konstravimasPozicijos dydžio nustatymasPavedimų vykdymas
BigQuant

This research note proposes a price-spread deviation factor intended to measure whether a stock is relatively expensive or cheap compared with similar stocks. It frames the signal as a relative reversal measure: stocks that have recently lagged peers are…

AkcijosGrįžimas prie vidurkioInvestavimas pagal veiksniusPortfelio konstravimas
BigQuant

This stock-screening proposal selects companies assigned to a metaverse industry category, requires a positive return condition, and looks for at least one limit-up event during the preceding 25 days. It gives both a platform formula and a Python-oriented…

AkcijosKinijos rinkosImpulsasTechniniai rodikliai
BigQuant

This document summarizes an investment research paper on incorporating environmental, social, and governance risks into emerging-market analysis. Its central argument is that these markets can be more exposed to issues such as extreme weather, resource…

AkcijosRizikos valdymasPortfelio konstravimas
BigQuant

The document describes Panoptic, a decentralized protocol that offers perpetual options linked to Uniswap liquidity pools. It explains how concentrated liquidity ranges can serve as strike selection and how liquidity provision can create option-like…

KriptoturtasPasirinkimo sandoriaiKintamumasDeFi
BigQuant

This research summary describes combining order-book data, which may reflect traders’ unexecuted intentions, with transaction-level data showing completed trades. The authors use both intuitive signal construction and machine learning to turn different types…

AkcijosDidelio dažnio prekybaMašininis mokymasisInvestavimas pagal veiksnius
BigQuant

The document explains beta as an asset’s sensitivity to market returns and gives the covariance of asset and market returns divided by market-return variance as its calculation. It illustrates the calculation with a short set of monthly portfolio and…

StatistikaRizikos valdymasInvestavimas pagal veiksnius
BigQuant

This brief support exchange addresses whether StockRanker’s tree model can use L1 or L2 regularization and how to improve model stability. The response says that StockRanker does not currently expose regularization as a way to prevent overfitting. It…

Mašininis mokymasisRizikos valdymas
BigQuant

This overview surveys the use of large language models and other AI methods across quantitative investing. It describes extracting sentiment and information from financial text, combining text with time-series data for market and risk forecasts, supporting…

Mašininis mokymasisRinkos nuotaikosPortfelio konstravimasPavedimų vykdymas
BigQuant

This brief forum exchange asks how to interpret a random forest model’s predicted label after returns have been divided into twenty classes. The question is whether the output represents a class identifier or a return value, and whether regression metrics…

Mašininis mokymasisStatistikaAkcijos
BigQuant

This practitioner essay presents risk management as a process spanning strategy research, deployment, live operation, and review. It recommends examining a strategy’s behavior in severe historical drawdowns, including whether losses remain controlled,…

Rizikos valdymasIstorinis testavimasPavedimų vykdymasPortfelio konstravimas
BigQuant

This forum post raises questions about translating factor functions from BigQuant version 1.0 to version 3.0. It asks whether the RSI function retains its name or uses a prefixed variant, and whether ranking should use a cross-sectional or unprefixed…

Investavimas pagal veiksniusTechniniai rodikliaiStatistika
BigQuant

The document reproduces a pandas performance warning raised during a backtest while data is being written to HDF storage through PyTables. The warning says that a block of columns contains mixed object types that PyTables cannot map directly to its native C…

Istorinis testavimasPavedimų vykdymasStatistika
BigQuant

This support note addresses an error encountered while extracting basic features for Chinese convertible bonds. The reported failure says the feature extraction module does not recognize the CN_CONBOND market. The response recommends connecting through the…

Kinijos rinkosFiksuoto pajamingumo priemonės
BigQuant

This overview describes how to read simulated strategy performance based on historical data. It defines several commonly reported measures: total return and annualized return for gains over time, maximum drawdown for peak-to-trough loss, Sharpe ratio for…

Istorinis testavimasRizikos valdymasStatistika
BigQuant

This opinion article argues that quantitative trading can intensify volatility in China’s A-share market and disadvantage investors who lack comparable speed or technology. It attributes these effects to strategies that respond to market rules and short-term…

Kinijos rinkosAkcijosDidelio dažnio prekybaRinkos mikrostruktūra
BigQuant

This broad educational overview introduces mathematical tools used in stock analysis and algorithmic trading. It covers descriptive statistics, including measures of central tendency and dispersion, and explains how visualizations can help reveal…

AkcijosStatistikaTechniniai rodikliaiRizikos valdymas
BigQuant

This research review presents the frog-in-the-pan hypothesis: investors may respond less promptly to a sequence of small, gradual price moves than to a similarly sized change concentrated in a few sharp moves. It describes an information-discreteness measure…

AkcijosImpulsasStatistikaRinkos nuotaikos
BigQuant

This document describes a local tool for reviewing trading records produced by the Wanhe file-order system. The user selects the system’s service log folder, runs an analysis, and views account trading logs, an account equity curve, trade history, and daily…

AkcijosPavedimų vykdymasRizikos valdymas
BigQuant

This tutorial explains how to aggregate one-minute bars into longer intraday bars, using a Chinese stock session as its example. It shows the standard time-series resampling approach: assign open from the first observation, high and low from the extrema, and…

AkcijosAteities sandoriaiStatistikaRinkos mikrostruktūra
BigQuant

The report examines how changes in market interest rates can affect listed companies’ net profits through interest expense. It compares industries by the importance of financial expenses relative to net profit, finding higher exposure in areas such as light…

AkcijosFiksuoto pajamingumo priemonėsStatistikaRizikos valdymas