Pāriet uz saturu

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

OctoBot

The document explains automated trading bots as programs that use market or other data to analyze conditions and place trades under a configured strategy. It describes potential benefits such as faster, more frequent execution and less emotion-driven…

KriptoaktīviAkcijasValūtu tirgusRežģa tirdzniecība
SuperMind

The post proposes a Chinese equity screen using turnover between 3% and 12%, a positive return over ten days below 35%, and a dividend payout ratio above 25% for 2019. It says to select stocks before 10 a.m. and presents the dividend filter as a way to…

AkcijasĶīnas tirgiFaktoru ieguldīšanaVēsturisko datu pārbaude
Amberdata research

The article outlines how Amberdata datasets can be accessed through Snowflake, Google Analytics Hub, and Databricks. It frames these integrations as a way for institutional researchers and traders to work with historical and fresh digital-asset data using…

KriptoaktīviBlokķēdes datiDeFiTirgus mikrostruktūra
ProRealCode

This article describes a backtesting indicator for evaluating exit distances on a supplied trading signal. It simulates a single-unit position, closes equal portions at up to three take-profit levels, and exits the remaining position at the first stop level…

Vēsturisko datu pārbaudeRiska pārvaldībaTehniskie indikatoriRīkojumu izpilde
vn.py community

The forum exchange addresses whether a backtest for Shanghai Futures Exchange instruments needs to distinguish between closing a position opened the same day and closing one opened earlier. The question comes from a trader analyzing fill prices in a trade…

Nākotnes līgumiVēsturisko datu pārbaudeRīkojumu izpilde
SuperMind

This Chinese-language post outlines a proposed screen for mainland Chinese exchange-listed stocks in the metaverse industry. It selects names among the five highest by the day’s auction trading value, then requires the weekly five-period moving average to…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
Amberdata research

This market report surveys Bitcoin’s first quarter of 2025, linking sharp price movements to macroeconomic developments, regulatory news, security events, and institutional activity. It discusses a peak near $109,000, subsequent pullbacks, a major exchange…

KriptoaktīviBlokķēdes datiTirgus noskaņojumsSvārstīgums
Lumibot

This report presents a short backtest of a large-cap stock strategy attributed to a multi-agent AI trading bot and compares it with SPY. The stated test ran from January 4 to January 15, 2026, using Yahoo data and a universe of large technology and other…

AkcijasVēsturisko datu pārbaudeASV tirgiMašīnmācīšanās
SuperMind

The document describes a daily stock screen based on three conditions: a high-to-low range greater than one percent, a reversal or engulfing-style pattern, and a close above the previous day’s low. It presents these conditions as a way to find stocks whose…

AkcijasTehniskie indikatoriAtgriešanās pie vidējās vērtībasVēsturisko datu pārbaude
Cryptohopper blog

The document introduces the information in a candlestick: the open and close define its body, while the high and low define its wicks. It classifies candles as bullish, bearish, or neutral by comparing closing and opening prices. These descriptions apply to…

KriptoaktīviTehniskie indikatoriCenas impulss
SuperMind

The post describes a stock-selection screen based on turnover between three and twelve percent, appearance on a market trading list the previous day, and a negative MACD reading from two days earlier. The accompanying formula adds further filters involving…

AkcijasTehniskie indikatoriCenas impulssRiska pārvaldība
MQL5 code base

The document explains the Detrended Price Oscillator (DPO) as the difference between a closing price and its simple moving average over a chosen period. By subtracting the moving average, the indicator filters out some of the broader price direction,…

Tehniskie indikatoriStatistika
SuperMind

This Chinese equity screening note combines three conditions: turnover between 3% and 12%, membership in a beverage and alcohol import-export category, and an auction-period price change greater than -2% and less than 5%. It frames the filters as a way to…

AkcijasĶīnas tirgiTehniskie indikatori
BigQuant

This report excerpt reviews several Chinese equity strategies for the week ending around July 19, 2020. It says valuation and quality factors performed relatively well while momentum weakened. The CSI 300 and CSI 500 enhanced portfolios both declined for the…

AkcijasĶīnas tirgiFaktoru ieguldīšanaCenas impulss
MQL5 code base

This brief indicator description explains Acceleration Bands, attributed to Price Headley, as bands derived from the daily price range. It identifies two configurable inputs: the calculation period and a factor that controls how widely the bands expand. The…

Tehniskie indikatoriStatistika
SuperMind

This note describes a Chinese equity screen requiring turnover between 3% and 12%, a stock code beginning with 60, and a nonempty name for an unredeemed convertible bond. The stated rationale is to focus on stocks with a specified level of trading activity…

AkcijasĶīnas tirgi
MQL5 code base

This document describes a function for producing directional signals from the OsMA indicator: one return value represents a buy and another represents a sell. It says the function can be included in an expert advisor and called to check the current signal.…

Valūtu tirgusTehniskie indikatoriVēsturisko datu pārbaudeRiska pārvaldība
MQL5 code base

This indicator presents the standard stochastic oscillator's %K and %D lines together with a histogram showing their relationship. Histogram colors distinguish whether %K is above or below %D and whether it lies above or below the configured overbought and…

Tehniskie indikatoriCenas impulss
SuperMind

This post outlines a Chinese A-share screen combining membership in a metaverse-related category with a turnover-based condition, a technical signal, market-cap ranking, and a valuation filter using PEG. It also sketches a Python workflow that retrieves…

Ķīnas tirgiAkcijasTehniskie indikatoriFaktoru ieguldīšana
MQL5 code base

ColorMFI_X20_Cloud is a chart indicator that adds adjustable background shading to overbought and oversold regions. Its inputs define five reference levels around the middle of the indicator range, including upper and lower thresholds and more extreme…

Tehniskie indikatoriAtgriešanās pie vidējās vērtības
FMZ forum

This annotated strategy describes a directional grid that can operate buy-first or sell-first. In buy-first mode, it places a sequence of buy orders below an initial price at fixed intervals. When a buy fills, it places a sell order above that fill by a…

Režģa tirdzniecībaRīkojumu izpildeRiska pārvaldībaPozīcijas apjoma noteikšana
Amberdata research

This market commentary connects Federal Reserve easing, Bitcoin price prospects, spot ETF adoption, and options volatility. It contrasts a possible short-term volatility surge with a longer-term decline as institutional ownership grows. For a bullish…

KriptoaktīviOpcijasSvārstīgumsAtvasināto instrumentu cenu noteikšana
SuperMind

This stock-selection idea screens Chinese equities for four conditions: membership in the metaverse theme, positive net buying by large participants during the opening auction, a robotics concept association, and circulating market capitalization below 10…

AkcijasĶīnas tirgiTirgus noskaņojumsRiska pārvaldība