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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
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

Lumibot

This document describes a command-line tool for creating, backtesting, and running editable LumiBot strategies. Its ordinary Python template demonstrates a long-only moving-average rule: retrieve recent daily prices, compare the latest close with a rolling…

AkcijasSekošana tendenceiTehniskie indikatoriVēsturisko datu pārbaude
BigQuant

The study groups fifty Wind order-flow measures into eight categories, including inflows, outflows, net active buying, and large-order flows. It evaluates these signals as stock-selection factors using portfolio sorts, cross-sectional regressions, and…

AkcijasFaktoru ieguldīšanaStatistikaVēsturisko datu pārbaude
MQL5 code base

The Quantora Moving Average Dashboard is described as a MetaTrader 5 indicator for viewing trend structure across several horizons. It tracks EMA periods 20, 50, 100, and 200, alongside SMA periods 50 and 200, and shows where price sits relative to these…

Tehniskie indikatoriSekošana tendenceiAkcijas
MQL5 code base

Cronex_T_DeMarker_GF is described as a trend indicator that displays two lines and a histogram. Its stated entry signal occurs when the lines cross, while the indicator also highlights divergence. The text characterizes signal recognition as straightforward…

Tehniskie indikatoriSekošana tendenceiCenas impulss
MQL5 code base

The document describes GannZIGZAG, an indicator that combines ZigZag swing structure with Gann angles. It identifies the tool and its author, Profi_R, and notes that it was originally written for MQL4 before publication in the MQL4 Code Base in 2007. The…

Tehniskie indikatori
MQL5 code base

The document describes a MetaTrader 5 dashboard for separating the results of multiple expert advisors running in one account. Each robot’s trades carry a numeric magic number, allowing the dashboard to group activity by strategy instead of relying on…

Riska pārvaldībaRīkojumu izpildeStatistika
MQL5 code base

This brief indicator description presents a single-window display of three smoothed Average True Range series calculated across different time frames. ATR measures price movement range, so comparing the three series can offer a compact view of volatility at…

Tehniskie indikatoriSvārstīgumsValūtu tirgus
NautilusTrader

This reference explains how the Nautilus trading framework models a listed share or ETF as an equity instrument. It describes required identifiers, venue symbol, quote currency, price precision and increment, timestamps, and optional metadata such as lot…

AkcijasTūlītējo darījumu tirgiRīkojumu izpilde
SuperMind

The document describes a Chinese equity screen for stocks in the metaverse industry that recorded at least one limit-up during the prior 25 days, excluding stocks on the STAR Market. It specifies screening before 10 a.m. for that day's candidates and…

AkcijasĶīnas tirgiCenas izrāviensTehniskie indikatori
BigQuant

This brief Q&A explains how to change the scoring function used during hyperparameter search. The question asks how to include annualized return, win rate, and maximum drawdown alongside a Sharpe-based score. The response says the score function can read…

MašīnmācīšanāsVēsturisko datu pārbaudeRiska pārvaldība
BigQuant

This speech transcript outlines a research framework spanning short, intermediate, and long horizons. It associates short-term work with factor models and machine-learning stock selection, intermediate work with industry and style rotation, and long-horizon…

Vairāku aktīvu tirdzniecībaAkcijasMašīnmācīšanāsFaktoru ieguldīšana
OctoBot

Dollar cost averaging (DCA) invests a fixed amount at regular intervals regardless of the current price. Because each contribution is the same size, it buys more units when prices are lower and fewer when they are higher. The article presents this schedule…

KriptoaktīviTūlītējo darījumu tirgiRiska pārvaldībaPozīcijas apjoma noteikšana
BigQuant

This note describes a daily stock factor that combines weighted order book pressure with the closing price’s deviation from intraday VWAP. It weights the five visible book levels by proximity, giving the nearest level the greatest weight, then uses trading…

AkcijasTirgus mikrostruktūraCenas impulssTehniskie indikatori
SuperMind

This article proposes screening Chinese stocks for RSI below 65, buy-side displayed volume greater than sell-side volume, and a positive product of the stock’s price change and net volume attributed to very large orders. The intended idea is to combine a…

Ķīnas tirgiAkcijasTehniskie indikatoriTirgus mikrostruktūra
SuperMind

This article outlines a stock screen using three signals: RSI below 65, displayed buy-side volume greater than sell-side volume, and a positive ten-day price change capped below 35%. It frames the combination as a way to consider recent price behavior and…

Ķīnas tirgiAkcijasTehniskie indikatoriTirgus noskaņojums
SuperMind

This article describes a Chinese main-board stock screen combining an RSI reading below 65, a daily gain above 1%, and relative volume bounded between 1.5 and 6. It presents the conditions as a way to find shares with positive short-term movement and…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
MQL5 code base

The Float indicator analyzes prior chart history to estimate the current trend situation for a currency pair. It marks the apparent beginning and end of trends in a separate chart window and shows Fibonacci retracement and DiNapoli levels on the main chart.…

Valūtu tirgusTehniskie indikatoriSekošana tendenceiRiska pārvaldība
MQL5 code base

This GBPUSD expert advisor description outlines a system that opens four positions with separate take-profit levels. Stop-loss and take-profit distances are scaled using ATR coefficients. Once a position reaches its target, the remaining positions are moved…

Valūtu tirgusTehniskie indikatoriRiska pārvaldībaPozīcijas apjoma noteikšana
ProRealCode

This crude oil strategy uses 15-minute bars to combine a five-bar average of candle fullness with a moving average oscillator built from five- and 50-period averages. Candle fullness is defined as the close-to-open move divided by the candle’s high-low…

Nākotnes līgumiIzejvielasAtgriešanās pie vidējās vērtībasTehniskie indikatori
SuperMind

This A-share screening rule combines three technical filters: a 14-period RSI below 65, MACD above zero, and a 10-day price gain greater than zero but below 35%. The document explains these as ways to find stocks with positive short-term performance while…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This proposed equity screen combines three conditions: intraday amplitude above one percent, a K-line value below 20, and a nonempty field for an outstanding convertible bond. The text interprets the range as evidence of volatility, the low K-line reading as…

Ķīnas tirgiAkcijasTehniskie indikatoriSvārstīgums
TqSdk

This report utility converts daily account snapshots and trade records into tables, then calculates summary statistics for simulated futures accounts or stock accounts. For both account types it derives daily profit and returns, cumulative profit and loss…

Vēsturisko datu pārbaudeStatistikaRiska pārvaldībaNākotnes līgumi
SuperMind

This Chinese stock-screening proposal targets companies in the metaverse industry. It selects stocks whose opening prices are near the ten-day moving average and combines that condition with auction-period buying activity attributed to large and extra-large…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
MQL5 code base

SimpleBars_V2 is a chart indicator that colors candlesticks according to the highs and lows of earlier bars. Its stated visual convention marks candles judged to move against the prevailing trend in yellow, offering a quick way to distinguish countertrend…

Tehniskie indikatoriSekošana tendencei