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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 document summarizes an introductory treatment of graph neural networks (GNNs), which learn from data represented as entities and their relationships. It explains how convolutional ideas used with images can be generalized to graph structures, whose…

MašīnmācīšanāsStatistika
SuperMind

This A-share screening idea combines intraday market activity with a weekly trend condition. It selects stocks with amplitude above 1, current volume above 10,000 lots, a higher opening price, and a weekly five-period moving average crossing above the…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
Amberdata research

This weekly report examines Bitcoin and Ether options around regulatory news and a busy US macro calendar. It describes short-dated implied volatility rising after enforcement actions, a brief move into backwardation, and a flatter term structure afterward.…

KriptoaktīviOpcijasSvārstīgumsTirgus mikrostruktūra
BigQuant

The article reviews the long decline in mutual fund and ETF expense ratios and links it to investor choices, competition, and changes in financial advice and retirement plans. It distinguishes asset-weighted averages, which reflect where investors put their…

StatistikaPortfeļa veidošanaASV tirgi
SuperMind

This discussion addresses how to use a daily stock popularity ranking obtained through a query interface in a backtest when the research environment returns a dataframe but the backtest environment does not behave the same way. One suggested workflow is to…

AkcijasĶīnas tirgiVēsturisko datu pārbaudeRīkojumu izpilde
SuperMind

This post describes a stock screen restricted to a designated metaverse industry group. Within that group, it selects shares whose average price is above the five-day moving average and whose daily MACD is positive. The stated intent is to combine an…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This Chinese-language post outlines an equity screening idea that combines three signals: rank stocks by relative volume, require the 5-, 10-, and 20-day moving averages to be aligned upward, and look for a 15-minute MACD histogram that is shrinking while…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
Stratmill research code

This example builds a BTCUSDT futures market-making strategy whose fair price is estimated from a spot reference price plus a smoothed spot–futures basis. It resamples spot and futures book-ticker mid-prices, carries observations forward, and calculates a…

KriptoaktīviNākotnes līgumiTirgus veidošanaAtgriešanās pie vidējās vērtības
FMZ forum

The document describes a backtesting feature for BitMEX’s XBTUSD perpetual contract that simulates periodic funding payments using historical funding-rate data. It says the feature is available across JavaScript, C++, and Python, and that event logging can…

KriptoaktīviPerpetuālie nākotnes līgumiVēsturisko datu pārbaudeRiska pārvaldība
ProRealCode

The document presents an indicator framework that combines nested swing detection, structural trend changes, Fibonacci retracements, and engulfing candlestick patterns. Short-, intermediate-, and long-term swings are used to identify increasingly significant…

Tehniskie indikatoriCenas izrāviensSekošana tendenceiRiska pārvaldība
SuperMind

This stock-selection proposal combines a price-range filter, a historical dividend-yield condition, and a turnover-related condition. The stated screen looks for stocks with amplitude above 1%, a 2019 dividend ratio above 25%, and a turnover measure between…

AkcijasĶīnas tirgiFaktoru ieguldīšanaSvārstīgums
MQL5 code base

The document describes a support and resistance indicator based on the prior candle’s high, low, and close. For daily levels, it uses the previous day’s candle and applies the resulting levels to charts below the daily timeframe; levels are recalculated each…

Valūtu tirgusTehniskie indikatoriStatistika
BigQuant

This research review summarizes a study of manager changes at Chinese equity funds, distinguishing internal transfers, moves to another public fund, moves to a private fund, and exits from the fund industry. The study compares benchmark-adjusted buy-and-hold…

AkcijasĶīnas tirgiStatistikaRiska pārvaldība
SuperMind

This stock selection concept combines moderate trading activity, recent price strength, and a technical trigger. It seeks stocks with turnover between 3% and 12%, at least one limit-up event in the preceding 25 days, and a newly formed KDJ golden cross. The…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
MQL5 code base

This note describes a utility that trails an open position’s stop loss using Parabolic SAR on a selected timeframe. For a buy position, it considers moving the stop when the prior bar’s SAR is above the entry price and below that bar’s low. For a sell…

Tehniskie indikatoriRiska pārvaldībaRīkojumu izpilde
MQL5 code base

The document introduces John Ehlers’ Center of Gravity indicator as a finite impulse response filter applied to price, with a configurable calculation period. It presents the indicator as a low-lag tool for spotting potential turning points. The basic signal…

Tehniskie indikatoriAtgriešanās pie vidējās vērtībasStatistika
SuperMind

The proposed Chinese equity screen combines three conditions: a recent increase in reported holdings or inflow, a weekly five-period moving average crossing above the ten-period average, and at least two limit-up sessions during the past 500 days. The post…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
MQL5 code base

The document describes a lightweight reporting setup for MetaTrader accounts. An expert advisor writes account balance and position change information to text files, while a separate ICQ bot responds to user commands by sending the contents of selected…

Rīkojumu izpildeRiska pārvaldība
SuperMind

The article explains how to estimate the probability of a binary outcome using Bayesian inference. It uses coin flips to introduce a Bernoulli likelihood for observations and a Beta distribution as a prior for the unknown success probability. Because these…

StatistikaRiska pārvaldība
SuperMind

The document describes a stock screen that selects shares with a prior-day price range above 1%, more than a year since listing, and prior-day turnover above 8%. It explains the intended rationale: range and turnover are treated as signs of activity, while…

AkcijasĶīnas tirgiTehniskie indikatoriVēsturisko datu pārbaude
MQL5 code base

The document outlines an expert advisor for EURUSD that trades around the European and American sessions. It identifies session start and end times as configurable inputs and describes a minimum European-session range, stop loss, take profit, and a lot-size…

Valūtu tirgusCenas izrāviensRiska pārvaldībaPozīcijas apjoma noteikšana
SuperMind

This document proposes a Chinese stock screen using three signals: a high volume ratio, a rounded price pattern approximated through Bollinger Band contraction or expansion, and at least two limit-up events over 500 days. It describes ranking stocks by…

Ķīnas tirgiAkcijasCenas impulssTehniskie indikatori
SuperMind

This document describes a simple screen for Chinese metaverse-related equities. It selects stocks with circulating market capitalization above the stated cutoff and a ten-day price gain that is positive but below a specified upper bound. The accompanying…

Ķīnas tirgiAkcijasCenas impulssFaktoru ieguldīšana