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Zināšanu bibliotēka

Stratmill pētniecības aģenta sagatavoti kopsavilkumi un galvenās atziņas par grāmatām, pētījumiem, rakstiem un kodu, ko lasa mūsu MI aģenti. Katrā lapā ir saite uz oriģinālu.

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

Meklēt bibliotēkā

Dokumentu skaits: 79,386

BigQuant

This weekly report reviews style-factor signals across several Chinese equity universes and summarizes recent quantitative fund performance and market conditions. It reports that price-and-volume factors, especially beta, were relatively strong in the week…

Ķīnas tirgiAkcijasFaktoru ieguldīšanaCenas impulss
BigQuant

The discussion describes a proposed rolling evaluation in which training and testing periods are kept separate. Its example uses successive annual training windows and test windows offset into later years, with each test period’s results concatenated to form…

Vēsturisko datu pārbaudeStatistikaMašīnmācīšanās
SuperMind

The post proposes a Chinese stock-selection screen combining price movement, trading activity, and company size. Its stated rules require amplitude above 1, a product involving the previous day’s turnover rate and today’s auction volume relative to the prior…

Ķīnas tirgiAkcijasTehniskie indikatoriStatistika
BigQuant

The question asks how to limit the capital assigned to any one stock to 20% of the portfolio. The response refers to a calculated weight for a stock and places an order targeting a percentage of portfolio value. This points to a useful portfolio-construction…

AkcijasPozīcijas apjoma noteikšanaPortfeļa veidošana
MQL5 code base

CandleStop_System is described as a chart indicator that colors candlesticks when they move beyond the limits of a CandleStop channel. The color also communicates the candle’s relationship to the prevailing trend: brighter fills mark candles aligned with the…

Tehniskie indikatoriSekošana tendenceiCenas izrāviens
SuperMind

The post describes a strategy adapted from another approach and characterized by its author as a moving-average method that takes long positions. The author reports a four-year backtest with a total return of 120 times the starting value and a maximum…

Sekošana tendenceiTehniskie indikatoriVēsturisko datu pārbaude
BigQuant

This brief Chinese-language support note addresses why a filter applied directly in a DataSource may not work as expected. It recommends using a dedicated data-filter module, filtering the resulting dataframe with boolean conditions, or passing a query…

StatistikaAkcijas
BigQuant

The article questions whether asset pricing and investment can be understood only by predicting returns from company characteristics. It uses the example of rose prices on Valentine’s Day: prices rise when demand is concentrated and sellers are scarce, then…

Vairāku aktīvu tirdzniecībaTirgus mikrostruktūraStatistika
ProRealCode

The indicator identifies candidate liquidity zones from repeated wick tests that fail to close through a candle-body reference level. It maintains separate upside and downside references, counts contacts only when tests are sufficiently spaced, and confirms…

Tehniskie indikatoriTirgus mikrostruktūraRīkojumu izpilde
ProRealCode

Momentum Pinball adapts the relative strength index to track changes in daily price movement rather than relying directly on the current close. It compares the change between consecutive daily closes with the prior change, separates upward and downward…

Tehniskie indikatoriCenas impulss
BigQuant

The example builds a single-stock daily strategy from trend and momentum conditions. Entry requires the 21-period simple moving average to exceed the 60-period average, price to be above both averages, and daily and weekly MACD histograms to be positive. It…

AkcijasSekošana tendenceiCenas impulssTehniskie indikatori
SuperMind

This Chinese stock-selection example combines three short-term conditions: daily amplitude above 1%, a high equal to the highest high across two days, and an asserted Dragon-Tiger List signal from the prior day. The accompanying discussion interprets the…

AkcijasTehniskie indikatoriTirgus noskaņojumsCenas impulss
MQL5 code base

KLines is a technical indicator that plots support and resistance levels using the high and low extremes of periods across five timeframes. Its central idea is to use recent or timeframe-specific extremes as reference prices where the market may encounter…

Tehniskie indikatori
SuperMind

This proposed stock screen combines an amplitude threshold above 1, three moving-average crossover conditions, and a positive institutional-direction indicator. The explanation frames the moving averages as a trend filter and the institutional measure as a…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
MQL5 code base

The document describes a stochastic expansion oscillator as a variation on the conventional stochastic oscillator, with a distinct calculation and display. It identifies three inputs: the %K lookback period, a slowing period, and a noise filter period used…

Tehniskie indikatoriStatistika
SuperMind

This stock selection rule screens A-shares using four conditions: turnover between 3% and 12%, the product of daily percentage change and super-large-order net flow above zero, positive institutional activity, and volume expansion. A reference formula adds a…

AkcijasĶīnas tirgiTehniskie indikatoriTirgus mikrostruktūra
BigQuant

This article offers a checklist for choosing strategies from a trading community. It first asks investors to set their capital, acceptable drawdown, and return expectations, then distinguishes conservative from aggressive choices. The conservative profile…

AkcijasRiska pārvaldībaVēsturisko datu pārbaudePortfeļa veidošana
FinRL

This document outlines a common set of measures for evaluating trading performance: cumulative and annualized returns, annualized volatility, the Sharpe ratio, and maximum drawdown. It gives mathematical definitions for the return, volatility, and Sharpe…

StatistikaRiska pārvaldībaPortfeļa veidošanaVēsturisko datu pārbaude
SuperMind

This article describes a China A-share stock screen that combines turnover, company size, profitability, and a rising-lows price pattern. Its stated filters restrict turnover to a specified band, market capitalization to below a stated ceiling, and earnings…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas izrāviens
BigQuant

This report studies whether stocks that suffer sustained, sharp declines later rebound, and how to identify such episodes. It uses rolling-window local extrema with a 15-period parameter to mark turning points, then applies pattern conditions to select 2,048…

Ķīnas tirgiAkcijasAtgriešanās pie vidējās vērtībasVēsturisko datu pārbaude
SuperMind

This Chinese stock-screening idea combines three conditions: a positive MACD reading, a share price below 12 yuan, and a small price gain at the 9:25 pre-open observation. The post describes screening before the market opens and includes example indicator…

Ķīnas tirgiAkcijasTehniskie indikatori
Amberdata research

This podcast overview introduces Panoptic, a decentralized protocol for minting, trading, and making markets in perpetual put and call options. The conversation is described as covering co-founder Guillaume Lambert’s path from physics into decentralized…

DeFiOpcijasAtvasināto instrumentu cenu noteikšanaTirgus veidošana
SuperMind

The strategy screens Chinese mainland stocks using three conditions: RSI below 65, a circulating market capitalization between 5 and 10 billion yuan, and a shortening MACD histogram on 15-minute bars. The rationale is that RSI constrains the short-term…

Ķīnas tirgiAkcijasTehniskie indikatori
NautilusTrader

This example configures a live trading framework to connect to Derive’s test environment and exercise its built-in execution tester on an ETH perpetual instrument. At startup, the strategy can open a position using an immediate-or-cancel order and maintain…

Rīkojumu izpildePerpetuālie nākotnes līgumiTirgus mikrostruktūra