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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
Quantpedia
Dokumentu skaits: 86
TqSdk
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

BigQuant

This forum post asks how a factor dashboard calculates win rates for low and high factor quantiles and for a long–short portfolio. It contrasts two possible interpretations: counting individual stocks with positive returns, or counting rebalancing periods in…

Faktoru ieguldīšanaStatistikaPortfeļa veidošana
SuperMind

This stock screen selects equities whose price range exceeds a threshold, that were not limit-up stocks on the prior session, and whose prior-day turnover measure exceeds 0.26. The article interprets elevated turnover as a possible sign of investor attention…

AkcijasTehniskie indikatoriTirgus mikrostruktūraVēsturisko datu pārbaude
SuperMind

This equity screen combines a daily price-range filter, at least two limit-up sessions during a 500-day lookback, and a three-candle morning-star reversal pattern. The pattern is described as a long bearish candle, a small-bodied middle candle, and a bullish…

AkcijasTehniskie indikatoriCenas impulssVēsturisko datu pārbaude
Amberdata research

This overview explains how a crypto derivatives portfolio can combine instruments with positive and negative delta to keep net directional exposure near zero. Traders may then focus on changes in implied volatility, time decay, or other option effects rather…

KriptoaktīviOpcijasSvārstīgumsRiska pārvaldība
SuperMind

This screen selects equities using three conditions: daily price range above a stated threshold, a 2019 dividend ratio above 25%, and a nonempty name for an outstanding convertible bond. The article presents the combination as a way to consider price…

AkcijasFaktoru ieguldīšanaRiska pārvaldībaVēsturisko datu pārbaude
MQL5 code base

The indicator description explains a way to combine moving-average trend readings from several chart intervals into one view of bullish, bearish, or sideways conditions. It also uses dots to flag possible sideways movement and arrows to mark whether a…

Tehniskie indikatoriSekošana tendenceiVairāku aktīvu tirdzniecība
SuperMind

This stock screen targets companies classified in the metaverse industry. It looks for a fresh KDJ bullish crossover and positive large-order net-flow readings over several consecutive days, then selects a small set of candidates. The post describes the idea…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
BigQuant

The document presents a stock-selection design that first ranks Chinese market sectors using a weighted combination of price momentum, money flows, and recent policy-related news. It then scores sub-sectors using reported net-profit growth and price…

Ķīnas tirgiAkcijasCenas impulssTehniskie indikatori
FMZ forum

The article compares eight forex expert advisers built around Martingale or grid trading. It describes their entry filters, position sizing, grid spacing, and exit methods. Examples include trend or oscillator filters for initial trades, ATR-based spacing,…

Valūtu tirgusRežģa tirdzniecībaRiska pārvaldībaPozīcijas apjoma noteikšana
ProRealCode

This indicator calculates volume-weighted average price from intraday bars and resets the calculation at the start of each trading day. It plots the VWAP alongside upper and lower bands at one, two, and three times a dispersion measure, intended to help…

Tehniskie indikatoriRīkojumu izpildeTirgus mikrostruktūraSvārstīgums
SuperMind

This stock-selection proposal focuses on companies classified in the metaverse theme. It filters for prior-day actual turnover between 3% and 28% and a circulating market value above 10 billion yuan. The article explains turnover as a sign of market activity…

AkcijasĶīnas tirgiTirgus mikrostruktūraTehniskie indikatori
SuperMind

This article outlines a Chinese A-share screen that selects stocks associated with the metaverse concept, requires an upward-moving 30-day average, and excludes Beijing-listed shares. Its final suggested version also adds valuation filters: price-to-earnings…

AkcijasĶīnas tirgiTehniskie indikatoriSekošana tendencei
SuperMind

This article describes a short-term stock screen using four conditions: daily amplitude above 1%, current volume above 10,000 lots, a higher open, and a bullish weekly bar. It presents these as signs of active trading and upward price movement. Its indicator…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
Lumibot

This FAQ describes LumiBot, a Python framework for backtesting and live algorithmic trading across several asset classes and brokers. It outlines the shared strategy workflow, data-source requirements, and common operations such as handling fills, tracking…

Vēsturisko datu pārbaudeMašīnmācīšanāsAkcijasOpcijas
MQL5 code base

This brief technical note explains a design for placing interactive buttons on a MetaTrader 5 chart. The buttons behave like chart objects with time and price coordinates, can be dragged, and remain positioned when the chart is scrolled. The technique may…

Rīkojumu izpildeTirgus mikrostruktūra
SuperMind

This Chinese stock-selection post describes screening equities with a 14-period RSI below 65, a circulating market value between 5 billion and 10 billion yuan, and strong-buying volume during the opening auction. It also describes ranking qualifying stocks…

AkcijasTehniskie indikatoriTirgus mikrostruktūra
SuperMind

This A-share stock screen selects shares with a daily high-low range above 1%, at least one limit-up day in the previous 25 sessions, and a bullish weekly candlestick. The note frames the range condition as a marker of volatility, recent limit-ups as…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
BigQuant

This report summary compares cross-sectional, market-neutral commodity futures strategies based on inventory deviation and historical momentum. The inventory signal favors commodities with inventories below their own trend and shorts those above trend. It is…

Nākotnes līgumiIzejvielasCenas impulssSekošana tendencei
MQL5 code base

This brief description introduces an Expert Advisor that uses a moving average and standard deviation as trading indicators. It exposes a cap on the number of simultaneously open positions in one direction, giving the trader a way to limit directional…

Valūtu tirgusTehniskie indikatoriPozīcijas apjoma noteikšanaVēsturisko datu pārbaude
SuperMind

This A-share screening idea combines a positive MACD reading, upward-dispersing moving averages on the current day, and a prior-day opening auction match price at the limit down. The document interprets the first two filters as signs of upward momentum and…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This note describes a Chinese equity screen requiring daily price amplitude above a stated threshold, circulating market capitalization above a stated level, and no limit-up move on the prior day. It supplies indicator logic and a Python-style example that…

AkcijasSvārstīgumsTehniskie indikatoriĶīnas tirgi
SuperMind

This stock-selection note proposes filtering Chinese equities by turnover rate, a candlestick reversal concept, and the proportion of increased positions on the current day. It also includes a closing-price condition relative to a moving average and ranks…

AkcijasCenas impulssTehniskie indikatoriĶīnas tirgi
BigQuant

This overview outlines a quantitative workflow: collect and clean data, develop a strategy, manage risk, backtest on historical data, and automate execution. It then sketches strategies for Chinese equities and futures, including Turtle-style breakouts,…

AkcijasNākotnes līgumiPāru tirdzniecībaTehniskie indikatori
MQL5 code base

This document describes adapting several MT5 standard trading classes for use in MT4, with the goal of sharing an Expert Advisor codebase across both platforms. It sets two constraints: the program must avoid MT5-only classes unless they are also ported, and…

Rīkojumu izpildeRiska pārvaldība