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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
WonderTrader
Dokumentu skaits: 14
Alphalens
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

ProRealCode

SuperIchi keeps the familiar Ichimoku lines and cloud but replaces fixed lookback high-low midpoints with an ATR trailing-stop regime engine. For each line, it tracks the price extreme reached during the current regime and the active trailing stop, then…

Tehniskie indikatoriSvārstīgumsSekošana tendencei
SuperMind

This Chinese equity screen selects stocks with a daily high-to-low range greater than 1% of the opening price, whose codes begin with 60, while excluding Beijing-listed shares. The article provides example formula and Python references and describes the…

AkcijasĶīnas tirgiTehniskie indikatori
SuperMind

This Chinese equity screening proposal selects stocks whose daily amplitude exceeds 1, whose prior-day turnover rate multiplied by the ratio of current-day auction volume to prior-day volume falls between 0.5 and 2, and whose closing price is above the…

AkcijasĶīnas tirgiTehniskie indikatoriTirgus mikrostruktūra
SuperMind

This Chinese equity screening idea combines a technical condition with company size and earnings growth. It selects stocks with RSI below 65, a stated free-float market capitalization between 5 billion and 10 billion yuan, and year-over-year growth in net…

AkcijasĶīnas tirgiTehniskie indikatoriFaktoru ieguldīšana
MQL5 code base

This document describes a library for monitoring an Expert Advisor’s memory consumption during strategy tester optimization. Its purpose is to help identify parameter configurations that use unusually large amounts of memory and may cause optimization passes…

Vēsturisko datu pārbaudeRīkojumu izpilde
SuperMind

This Chinese-language post proposes a stock screen combining technical and company filters. It selects stocks with MACD above zero, a positive recent rise in the KDJ K value, and a favorable company classification. The accompanying formula also restricts…

AkcijasCenas impulssTehniskie indikatoriFaktoru ieguldīšana
MQL5 code base

BrainTrend2 is presented as a trend-following chart indicator that colors candlesticks according to whether they align with its trend signal: aligned candles appear brighter and opposing candles darker. The description says the indicator can alert users when…

Tehniskie indikatoriSekošana tendenceiSvārstīgums
SuperMind

This Chinese-language post describes a momentum-oriented stock screen using three conditions: position growth above 5% for the day, moving averages spreading upward, and at least two limit-up sessions within the prior 500 days. The rationale is that rising…

AkcijasCenas impulssTehniskie indikatoriRiska pārvaldība
Kraken Learn

The document introduces NFTs as blockchain tokens whose metadata points to a file or other asset. It distinguishes ownership of the token from copyright or other intellectual property rights: buyers can generally verify and transfer the token’s ownership,…

KriptoaktīviBlokķēdes datiRiska pārvaldība
SuperMind

This proposed daily premarket stock screen combines positive MACD, a non-ST restriction, market-heat ranking, and a five-session limit-up pattern. The pattern is described as five consecutive sessions in which each day reached a stated return threshold over…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This A-share screening proposal looks for stocks in the metaverse concept group whose MACD line crosses its signal line while the five-period moving average crosses above both the ten- and twenty-period averages. It then ranks qualifying stocks by reported…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
MQL5 code base

This MetaTrader 5 expert advisor places a buy stop above the previous daily bar’s high and a sell stop below its low, with an optional price offset. It removes its existing pending orders when it begins a new trading day, then submits the new pair if trading…

Nākotnes līgumiCenas izrāviensRīkojumu izpildeRiska pārvaldība
BigQuant

This 2018 report reviews managed futures, including how CTA strategies trade futures and options and how they differ by analysis method, trading style, holding period, and markets covered. It describes systematic and discretionary approaches alongside trend…

Nākotnes līgumiOpcijasSekošana tendenceiArbitrāža
SuperMind

This screening idea selects stocks assigned to the metaverse industry when trading volume is between 1.5 and 6 times its five-period average and MACD is above zero. The article treats elevated but bounded relative volume as a liquidity or activity filter and…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This stock screen combines an industry filter for beverage and alcohol import or export businesses with a turnover-rate range and a 15-minute MACD condition. It seeks stocks whose MACD histogram remains below zero while its negative bars are becoming…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
MQL5 code base

The document describes a Polarized Fractal Efficiency overlay designed to identify price trends. It plots a main indicator line over price along with upper and lower deviation bands. The indicator combines fast and slow rates of change, a sensitivity…

Tehniskie indikatoriSekošana tendenceiCenas impulssSvārstīgums
vn.py community

The discussion clarifies that a strategy’s position variable represents net exposure. A long position of one unit followed by an additional short opening trade of one unit nets to zero in that variable, rather than retaining separate counts for long and…

Riska pārvaldībaPozīcijas apjoma noteikšana
Hummingbot docs

This reference lists configurable controls for a pure market-making strategy and explains how to change them through the client’s configuration commands or by editing a strategy configuration file. It groups settings for quote levels and spacing, inventory…

Tirgus veidošanaRīkojumu izpildeTirgus mikrostruktūraRiska pārvaldība
BigQuant

The document describes a high-risk, high-turnover strategy for Chinese stocks under the T+1 trading convention. It looks for strong stocks that pull back and rebound, possible second moves in leading stocks, and sentiment-driven stocks that may reverse after…

AkcijasĶīnas tirgiMašīnmācīšanāsCenas impulss
MQL5 code base

This strategy waits for price to break above the upper band of a Bollinger Band calculated over a long period, then enter short after price closes back below that band. It sets a stop loss at one ATR and a take profit at 1.5 ATR, using volatility-based…

Cenas izrāviensAtgriešanās pie vidējās vērtībasTehniskie indikatoriRiska pārvaldība
Hyperliquid docs

HIP-2 describes an on-chain strategy for bootstrapping liquidity in newly deployed spot tokens quoted against USDC on Hyperliquid. A deployment specifies an initial price, order count and size, and how many levels begin as bids. Prices form a recursively…

KriptoaktīviTūlītējo darījumu tirgiTirgus veidošanaDeFi
MQL5 code base

This dashboard description explains how Pearson correlations across symbols and timeframes can support trading decisions. A color-coded matrix is intended to show positive and negative relationships, with selectable daily and intraday views. The examples…

StatistikaRiska pārvaldībaValūtu tirgusIzejvielas
ProRealCode

This ProRealTime indicator fits a least-squares line to recent closing prices, using a fixed lookback of 200 bars. It calculates the slope and intercept from sums of price and time values, then draws the fitted line and bands around it. The described band…

Tehniskie indikatoriStatistikaSekošana tendencei
SuperMind

This post describes using Wencai, a stock-screening feature in the Tonghuashun platform, to build stock lists from natural-language-like query statements. It says a strategy can run a query and save the resulting list as a CSV file, offering a way to…

AkcijasĶīnas tirgi