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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

SuperMind

This document presents a screen for Chinese metaverse-related stocks using prior-day turnover, current trading volume, and a positive opening gap. Its stated final version adds market capitalization ranking and earnings filters: stocks should rank in the top…

Ķīnas tirgiAkcijasCenas impulssTehniskie indikatori
SuperMind

This document outlines a short-term Chinese stock screen combining large price ranges, at least two limit-up events over a 500-day window, and recent net buying attributed to institutions. It gives example indicator conditions for each filter and a Python…

Ķīnas tirgiAkcijasCenas impulssTehniskie indikatori
SuperMind

This stock screen looks for names with turnover in a specified range, three consecutive declining sessions, a following close above the prior three day highs, and two consecutive positive sessions. It combines a liquidity filter with a pullback pattern and a…

AkcijasĶīnas tirgiTehniskie indikatoriCenas izrāviens
BigQuant

The article introduces a custom coded stock selection strategy built from five rules, mainly intended to identify stocks that have fallen sharply and begun to stabilize, with some rules meant to capture potential strong advances. It contrasts AI generated…

AkcijasFaktoru ieguldīšanaVēsturisko datu pārbaudePozīcijas apjoma noteikšana
SuperMind

This stock screen selects equities with an amplitude above a threshold, excludes stocks that closed at the limit the prior day, and targets names whose daily percentage change falls within a narrow negative range. The stated rationale is that amplitude…

AkcijasĶīnas tirgiTehniskie indikatoriSvārstīgums
BigQuant

The document asks whether minute or second level price and volume data can be aggregated into daily net flow measures for very large, large, medium, and small trades. It points readers to two implementations: a general set of high frequency factors and a…

AkcijasAugstas frekvences tirdzniecībaFaktoru ieguldīšanaTirgus mikrostruktūra
MQL5 code base

This description outlines an Expert Advisor based on the MALR indicator. It opens short positions when price crosses the indicator’s upper line downward and opens long positions when price crosses its lower line upward. Optional controls include adding a…

Valūtu tirgusSekošana tendenceiPozīcijas apjoma noteikšanaRiska pārvaldība
FMZ forum

This tutorial introduces the M Language used in a trading platform to write indicators and trading logic for commodity futures and cryptocurrency contracts. It explains scalar and sequence data, numeric, string, and Boolean values, variable naming, and…

Nākotnes līgumiKriptoaktīviTehniskie indikatoriPozīcijas apjoma noteikšana
Amberdata research

The note links uncertainty after a US government shutdown to crypto risk and options pricing. It argues that missing October inflation and employment releases complicate the Federal Reserve’s December decision, while the FOMC minutes and other scheduled…

KriptoaktīviOpcijasSvārstīgumsRiska pārvaldība
FMZ forum

This article introduces Bayesian reasoning as a way to estimate an unknown probability from limited observations and revise that estimate when new evidence arrives. It distinguishes a prior probability, based on information available beforehand, from a…

StatistikaRiska pārvaldība
MQL5 code base

This brief description introduces a linear regression indicator for estimating prices from historical observations. It says the indicator fits a straight line to price points using the least-squares method, with the number of bars as an input parameter. A…

StatistikaTehniskie indikatori
SuperMind

This note outlines an equity selection approach that filters for price amplitude above 1%, ranks stocks by market heat, and restricts the sample to trading dates in 2021. It explains amplitude as a sign of trading activity and treats high ranking by…

AkcijasĶīnas tirgiSvārstīgumsTehniskie indikatori
SuperMind

This note describes an A-share stock screen using a turnover ratio between 3% and 12%, at least one limit-up event in the previous 25 days, and exclusion of the STAR Market. It presents the criteria as a way to find moderately traded stocks with recent sharp…

AkcijasĶīnas tirgiCenas izrāviensTehniskie indikatori
vn.py community

This brief forum exchange clarifies directional order terminology in a trading interface. A buy-to-close order is described as an order whose direction is long and which closes a short position. Conversely, an order to open short corresponds to closing a…

Rīkojumu izpildeNākotnes līgumi
MQL5 code base

OscSAR_Histogram displays the difference between the closing price and the iSAR indicator as a colored histogram, with the difference expressed in points. This provides a visual measure of how far the close is from the Parabolic SAR value; the document does…

Tehniskie indikatoriSekošana tendencei
MQL5 code base

This indicator adapts Williams Percent Range by calculating separate values for the open, close, high, and low, then combining them into a candle-style display. Its calculation differs from the standard WPR formula so that each of the four price inputs can…

Tehniskie indikatoriAtgriešanās pie vidējās vērtības
SuperMind

This stock-screening approach combines a daily amplitude threshold with weekly MACD conditions: MACD should be above zero, and its histogram should be positive and growing relative to the prior week. The document describes these as a way to identify stocks…

AkcijasTehniskie indikatoriCenas impulss
MQL5 code base

The document describes a MetaTrader 5 testing issue in real-tick mode: limit and take-profit orders may receive unrealistically favorable positive slippage, inflating simulated results. It presents a utility that reports slippage in account currency and…

Vēsturisko datu pārbaudeRīkojumu izpildeTirgus mikrostruktūra
BigQuant

The document explains gold contracts for difference as cash-settled derivatives that provide exposure to gold price changes without holding bullion or futures. It outlines features such as leverage, smaller contract sizes, the ability to take long or short…

IzejvielasAtvasināto instrumentu cenu noteikšanaRiska pārvaldība
SuperMind

The document describes a Chinese equity screen that ranks stocks by reported capital-flow strength and selects those with more than two limit-up sessions in the past ten days and a rising 30-day moving average. It presents the flow measure as a proxy for…

AkcijasCenas impulssTehniskie indikatoriĶīnas tirgi
MQL5 code base

The document describes adding withdrawal tracking to an existing Expert Advisor so position sizing can respond when account funds are removed. It identifies a limitation in recovery-style sizing systems: an EA may increase lot size after losses and retain…

Pozīcijas apjoma noteikšanaRiska pārvaldībaRīkojumu izpilde
SuperMind

The post describes a stock-selection screen that combines daily price range, opening-auction trading amount, and recent limit-up frequency. Its stated final logic adds a recent low-amplitude condition: select stocks with amplitude above one, rank among the…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
MQL5 code base

The M1MA indicator estimates an effective price for each chart bar by averaging price data from the corresponding one-minute bars. It is intended for timeframes of five minutes or higher, with intraday charts recommended. The result is presented as an…

Tehniskie indikatoriStatistika
SuperMind

This A-share stock screen combines a technical condition with company earnings growth and a basic price check. It selects stocks with RSI below 65, year-over-year growth in net profit attributable to parent-company shareholders above 20% and no greater than…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss