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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

MQL5 code base

This document outlines an Expert Advisor that uses the Blau Ergodic oscillator to generate trade entries. It lists three possible signal events: a change in histogram direction, a move through the zero line, or a change in the signal-line cloud's color. An…

Valūtu tirgusTehniskie indikatoriVēsturisko datu pārbaudeRīkojumu izpilde
SuperMind

This Chinese stock-screening article proposes selecting shares with a daily range above a threshold, rising lows, positive institutional buying, and a 20-day moving average above the 250-day average. It also excludes special-treatment stocks and describes…

AkcijasTehniskie indikatoriCenas impulssTirgus noskaņojums
SuperMind

This Chinese stock-screening note describes a technical filter combining daily price range, Bollinger Bands, and recent returns. It seeks stocks with a price range above a 20-day average, a close between the Bollinger middle and upper bands, and a positive…

AkcijasTehniskie indikatoriCenas impulssRiska pārvaldība
SuperMind

This Chinese stock screening idea selects companies in the metaverse sector with a volume ratio between 1.5 and 6 and a prior-day appearance on the Dragon and Tiger List. The article frames these filters as a way to find active stocks attracting attention.…

Ķīnas tirgiAkcijasCenas impulssTehniskie indikatori
MQL5 code base

This page describes a higher-timeframe variant of the TriXCloud indicator for MetaTrader 5. Its input allows the user to select the chart period used by the indicator, with a four-hour period shown as the default. The page also states that the base TriXCloud…

Tehniskie indikatoriValūtu tirgus
vn.py community

This brief forum exchange asks whether VeighNa's main engine position converter loads positions that are already held when it initializes. The question gives a concrete example: whether a long position carried from the previous day will be reflected in the…

Nākotnes līgumiRīkojumu izpilde
Binance API docs

This stock-selection note combines a reported increase in holdings above 5% with parent-company net profit growth greater than 20% and no more than 100%, using 2021 data. The stated rationale is to find companies with signs of buying interest and growing…

AkcijasFaktoru ieguldīšanaStatistikaĶīnas tirgi
SuperMind

This FAQ explains how an exchange prevents a user’s orders, or orders from accounts sharing a trade group, from matching against each other. It describes the available outcomes: allow the match, expire the taker or maker order, expire both, decrement both…

Rīkojumu izpildeTirgus mikrostruktūraRiska pārvaldība
SuperMind

This Chinese stock selection note proposes combining three conditions: prior-day price amplitude above 1%, appearance on the previous day’s 龙虎榜 (a list of stocks with notable trading activity), and a newly formed bullish KDJ crossover. The rationale is that…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
Hummingbot docs

This document explains a Time-Weighted Average Price executor in the Hummingbot framework. The executor divides a larger trade into smaller orders scheduled at regular intervals over a defined duration, with the aim of limiting market impact. Configuration…

Rīkojumu izpildeTirgus mikrostruktūraRiska pārvaldība
SuperMind

This post outlines a Chinese equity screen for stocks classified in the metaverse sector. It requires a positive recent return and a MACD histogram value below zero two sessions earlier. The stated rationale is to combine sector membership and a positive…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
BigQuant

This research summary reviews trend-following indicators and how to build strategies for broad asset allocation and industry allocation. It groups 41 indicators by their input data, filtering, moving-average construction, and signal generation, arguing that…

Vairāku aktīvu tirdzniecībaSekošana tendenceiCenas impulssStatistika
SuperMind

This Chinese-language post describes an equity screen combining a relative strength index below 65, seven consecutive down sessions, and return on equity above 15% for each of five consecutive years. It presents the RSI and price streak as technical filters…

AkcijasTehniskie indikatoriFaktoru ieguldīšanaĶīnas tirgi
SuperMind

This stock-selection rule looks for shares with daily amplitude above 1%, an opening price within 2% of the 10-day moving average, and no prior-day limit-up. The article frames volatility as a source of potential short-term opportunity, the opening-price…

AkcijasSvārstīgumsTehniskie indikatoriRiska pārvaldība
MQL5 code base

This brief describes a trading utility that changes the take-profit and stop-loss settings on all open orders using an input percentage. It is an order-management procedure rather than an entry or exit strategy: the user supplies the percentage and the…

Riska pārvaldībaRīkojumu izpildePozīcijas apjoma noteikšana
SuperMind

This note describes an equity selection rule using three conditions: a 14-period RSI below 65, bid-side volume greater than ask-side volume, and the 20-day moving average above the 120-day moving average. The RSI threshold is presented as a way to avoid an…

AkcijasTehniskie indikatoriCenas impulssTirgus mikrostruktūra
SuperMind

This note outlines an equity screen for metaverse-related stocks. It combines daily price amplitude above 1 with a condition that at least one trading day in the prior 25 sessions had a gain of 10% or more. The stated rationale is to find volatile shares…

AkcijasSvārstīgumsCenas impulssTehniskie indikatori
Kraken Learn

The article explains BitVM as a proposal for verifying complex computations on Bitcoin without changing the network’s consensus rules. It describes representing universal NAND logic using existing Bitcoin Script components, with most computation performed…

KriptoaktīviRīkojumu izpildeTirgus mikrostruktūra
quant-trading

This README introduces a planned quantitative research project connecting iron ore spot prices with the currencies of countries that export iron ore. It presents the project as an extension of an earlier commodity-focused trading strategy, with an intended…

IzejvielasValūtu tirgusStatistikaArbitrāža
Amberdata research

This excerpt organizes the 2025 crypto market into six regimes, grouped into early-year optimism, a mid-year build, and a late-year crisis and aftermath. It proposes identifying regimes through their triggers and through changes in flows, open interest,…

KriptoaktīviPerpetuālie nākotnes līgumiSvārstīgumsRiska pārvaldība
SuperMind

This document describes a Chinese equities screen combining a 3%–12% turnover rate, a “reversal wrap” pattern, and positive MACD lines. Its indicator example also requires the close to exceed a moving average and ranks candidates by the MACD difference. The…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
MQL5 code base

The document describes a chart indicator that plots Fibonacci levels, presented as pivot points, on daily candlesticks. Its stated purpose is visual: it adds reference levels to a daily price chart. No calculation rules, trading entry or exit method, or…

Tehniskie indikatoriStatistika
SuperMind

This Chinese equity screening proposal combines a daily price range threshold, a morning star pattern, and an ownership concentration filter. It presents the setup as a short-term technical screen intended to find stocks with potential entry opportunities…

Ķīnas tirgiAkcijasTehniskie indikatoriRiska pārvaldība