Pāriet uz saturu

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
Quantopian lekcijas
Dokumentu skaits: 45
Binance API docs
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

MQL5 code base

The Balance of Power indicator is presented as an oscillator for gauging relative buying and selling pressure and spotting possible trend reversals. Its calculation compares the close with an earlier open, then scales that difference by the high-low range…

Tehniskie indikatoriStatistika
SuperMind

This Chinese equity screening rule combines a daily price-range threshold, a market-cap ceiling, positive quarterly earnings, and a KDJ bullish crossover. The crossover is described as J moving above K, alongside recent indicator comparisons; the example…

AkcijasTehniskie indikatoriRiska pārvaldībaĶīnas tirgi
BigQuant

This brief indicator note introduces Island Reversal, abbreviated IR, and lists its inputs as close, high, low, a lookback length, and a percentage parameter. Its pseudocode calculates prior-period high and low boundaries, then derives two price levels…

AkcijasTehniskie indikatoriStatistika
SuperMind

This post outlines a stock screen that combines a daily price-range threshold with a rising DEA signal, while applying geographic exclusions. It then suggests expanding the screen with valuation measures such as price-to-earnings and price-to-book ratios,…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
BigQuant

This article contrasts retail investors' execution environment with that of quantitative firms. It describes exchange co-location and direct connectivity as ways to reduce signal and order latency, then discusses how automated systems may react quickly to…

AkcijasAugstas frekvences tirdzniecībaRīkojumu izpildeTirgus mikrostruktūra
vn.py community

This short forum post concerns an error that repeatedly appears when connecting VeighNa, also known as VN.PY, to Interactive Brokers through the IB API. The traceback ends with a Python TypeError: the API invokes the wrapper’s error callback with more…

Rīkojumu izpildeNākotnes līgumi
SuperMind

This post describes a historical A-share stock screen using an RSI reading below 65, a price range greater than 1%, and a 2021 date filter. It presents RSI as a gauge of price strength and overbought or oversold conditions, while the range criterion is…

Ķīnas tirgiAkcijasTehniskie indikatoriVēsturisko datu pārbaude
BigQuant

The article discusses two reported measures intended to reduce speed advantages for quantitative firms in China’s A-share market: removing servers located inside exchange facilities and adding latency equivalent to a stated 200-kilometer separation. It…

Ķīnas tirgiAkcijasAugstas frekvences tirdzniecībaRīkojumu izpilde
SuperMind

This stock-selection example screens Shenzhen main-board shares associated with the metaverse theme. Its stated criteria require price above the five-day moving average, positive price-to-earnings and price-to-book ratios, and upper bounds of 29.01 and 3.11…

AkcijasĶīnas tirgiTehniskie indikatoriAtgriešanās pie vidējās vērtības
Hummingbot docs

This guide introduces the Avellaneda–Stoikov framework for setting bid and ask quotes while managing a market maker’s inventory. It describes a reservation price that shifts away from the mid-price according to inventory deviation, risk aversion, volatility,…

Tirgus veidošanaKriptoaktīviRiska pārvaldībaRīkojumu izpilde
BigQuant

This 2022 overview describes Hong Kong as a base for international and Chinese quantitative asset managers and as a channel for overseas investors seeking exposure to mainland China. It cites hiring and regional-office examples involving Citadel and Two…

Vairāku aktīvu tirdzniecībaĶīnas tirgiNākotnes līgumiAkcijas
BigQuant

The report describes stock-return prediction with machine-learning models built for short, medium, and long forecast horizons. It groups selection factors according to their information coefficients at different horizons, reflecting the idea that factor…

AkcijasMašīnmācīšanāsFaktoru ieguldīšanaVēsturisko datu pārbaude
BigQuant

The post asks whether a feature expression can take the maximum of four moving averages and whether a similar expression can calculate their standard deviation for one day. The example uses 5-, 10-, 30-, and 60-day averages as four contemporaneous values,…

Tehniskie indikatoriStatistika
SuperMind

This stock screen combines three conditions: membership in the metaverse industry, a 2021 listing year, and an opening price near the ten-day moving average of closing prices. The accompanying example describes both a crossover-style technical condition and…

AkcijasĶīnas tirgiTehniskie indikatori
Stratmill research code

This implementation describes a threshold-based rule for a cointegrated pair. It opens a long-spread trade when the spread falls to or below a lower entry level, or a short-spread trade when it rises to or above an upper entry level. A trade closes when the…

Pāru tirdzniecībaAtgriešanās pie vidējās vērtībasRiska pārvaldībaRīkojumu izpilde
BigQuant

This report outlines a first step in building a multifactor model: choosing which factors to combine. It proposes screening combinations using three criteria: how strongly a factor differs from benchmark exposure, how correlated the factors are with each…

Faktoru ieguldīšanaAkcijasPortfeļa veidošanaStatistika
MQL5 code base

This Expert Advisor uses the Money Flow Index (MFI) as a threshold-crossing signal. It sells when the oscillator crosses downward through an overbought level and buys when it crosses upward through an oversold level. Signals are evaluated at bar close, so…

Valūtu tirgusTehniskie indikatoriVēsturisko datu pārbaude
SuperMind

This Chinese equity screen first limits candidates to the metaverse theme, then requires the opening price at 9:25 to be less than six percent above the previous close. It also looks for the weekly five-period moving average to cross above the ten-period…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This note describes a short-term screen for Chinese equities using three conditions: daily high-low amplitude above one percent, a closing price below 20, and a prior-day close that was not near the stated upper limit threshold. It presents the rules as a…

Ķīnas tirgiAkcijasTehniskie indikatoriSvārstīgums
NautilusTrader

An order book delta represents one incremental change to a book and is used when a venue or data provider sends updates that a trading system must apply locally. The document distinguishes three supported granularities: order-level Level 3 data, price-level…

Tirgus mikrostruktūraRīkojumu izpilde
BigQuant

This research summary outlines three refinements to genetic programming for finding stock-selection factors: fitness measures based on mutual information and long-only excess return, ways to transform nonlinear factors, and validation procedures intended to…

AkcijasFaktoru ieguldīšanaMašīnmācīšanāsStatistika
MQL5 code base

The document describes a MetaTrader-style utility that closes matching open orders when calculated losses reach a user-set percentage of account balance. A caller supplies a drawdown threshold and a magic number to select orders; using zero is described as…

Riska pārvaldībaRīkojumu izpilde
MQL5 code base

This document describes a trade-management utility for open positions rather than a signal generator or strategy. It can add missing stop-loss and take-profit levels, move stops to break even as trades become profitable, and apply trailing stops to help…

Riska pārvaldībaPozīcijas apjoma noteikšanaRīkojumu izpilde