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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
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SuperMind
Dokumentu skaits: 12,226
OKX Learn
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Strategy library
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MQL5 code base
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BigQuant
Dokumentu skaits: 3,481
Bitget Academy
Dokumentu skaits: 3,298
MQL5 articles
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TradingView scripts
Dokumentu skaits: 1,976
ProRealCode
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Deribit Insights
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Machine Learning for Trading
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arXiv papers
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Amberdata research
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FMZ forum
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FMZ digest
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vn.py community
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QuantInsti blog
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Galaxy Research
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QuantStart
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Stratmill research code
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Robot Wealth
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NautilusTrader
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Hummingbot docs
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Paradigm research
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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
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Hyperliquid docs
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Freqtrade
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Hudson & Thames
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Awesome Systematic Trading
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backtrader
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vn.py
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Quantopian lekcijas
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Binance API docs
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FMZ guides
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pysystemtrade
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Freqtrade docs
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quant-trading
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FinRL
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Zipline
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FMZ live strategies
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Jesse
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pyfolio
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Alphalens
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WonderTrader
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backtesting.py
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Technical Analysis
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QTPyLib
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QuantRocket
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Lumibot strategies
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Awesome Quant
Dokumentu skaits: 1

Meklēt bibliotēkā

Dokumentu skaits: 79,386

MQL5 code base

This document describes a customized Envelopes indicator that displays the channel as a filled cloud, labels its latest values, and adds a price grid based on rounded channel levels. A user input controls the number of digits used for rounding, allowing the…

Tehniskie indikatori
MQL5 code base

This expert-advisor description outlines a once-per-day RSI strategy with separate buy and sell signals. For a buy, RSI must be above 50 on the hourly timeframe, and the stop distance must satisfy a configured maximum. The stop is placed beyond the prior…

Valūtu tirgusTehniskie indikatoriPozīcijas apjoma noteikšanaRiska pārvaldība
Kraken Learn

The article compares crypto exchanges using security practices, fee structures, product range, geographic availability, transparency, and customer support. It profiles Kraken, Coinbase, Gemini, Crypto.com, Bitget, and Bybit, describing distinctions such as…

KriptoaktīviTūlītējo darījumu tirgiPerpetuālie nākotnes līgumiRiska pārvaldība
MQL5 code base

This brief indicator note describes a timeframe-selection option for KaufWMAcross. A user can choose the chart period from the indicator’s inputs; the example default is a four-hour timeframe. The central idea is to make the indicator’s calculations…

Tehniskie indikatoriSekošana tendencei
Lumibot

This Korean-language project overview describes LumiBot, a Python framework for building trading strategies that can use ordinary rules, AI agents, or a combination. It presents a workflow that begins with a sample strategy and historical-data backtest, then…

Vēsturisko datu pārbaudeRīkojumu izpildeMašīnmācīšanāsVairāku aktīvu tirdzniecība
SuperMind

This A-share screening idea pairs an RSI below 65 with seven consecutive sessions in which the close is below the open, plus a revenue comparison requiring 2021 revenue to exceed 2018 revenue by more than 10%. The article frames RSI as a check against…

AkcijasĶīnas tirgiTehniskie indikatoriStatistika
SuperMind

This document outlines an A-share stock screen built around five moving averages, a share-price threshold, market capitalization, and positive earnings. It describes the overlap of five averages as a way to favor comparatively stable prices, then adds size…

AkcijasĶīnas tirgiTehniskie indikatoriRiska pārvaldība
SuperMind

This stock-selection rule combines three conditions: daily price amplitude above a threshold, circulating shares at or below a stated limit, and a shortening negative MACD histogram on a 15-minute interval. The proposed interpretation is that a wide range…

Ķīnas tirgiAkcijasCenas impulssTehniskie indikatori
MQL5 code base

This short note addresses a chart-display problem in MetaTrader 4: arrows placed on a chart may appear at changing distances from price bars after the user scrolls. That shifting presentation can make the markers hard to see and interpret. The proposed…

Tehniskie indikatori
SuperMind

This note describes a stock screen for companies in the metaverse theme with circulating market capitalization above a stated threshold, ranked by individual stock popularity. Its rationale is that ranking by attention may surface securities attracting…

Ķīnas tirgiAkcijasTirgus noskaņojums
SuperMind

This documentation explains how Hummingbot’s history command summarizes trading activity, asset inventory, pair prices, fees, and performance. It defines average execution price as total quote volume divided by total base volume, then compares the current…

KriptoaktīviStatistikaRiska pārvaldība
SuperMind

This document describes a Chinese stock screening rule combining turnover between 3% and 12%, three consecutive down sessions, and successively higher daily lows. It provides indicator and Python examples intended to identify shares that have pulled back…

AkcijasTehniskie indikatoriĶīnas tirgi
MQL5 code base

This note describes a higher-timeframe variant of the XWPR_Histogram_Vol indicator. A timeframe input lets the user select the chart period used by the indicator; the example sets that input to a four-hour period by default. The document also states that the…

Tehniskie indikatoriSvārstīgums
SuperMind

This post describes a Chinese equity screen combining a turnover-rate band, beverage and alcohol industry classification, and a reversal or engulfing-style price condition. It also presents illustrative formula and Python references. The accompanying code…

AkcijasĶīnas tirgiTehniskie indikatoriAtgriešanās pie vidējās vērtības
MQL5 code base

This brief description introduces i-GAP, a semaphore-style indicator that generates signals when price gaps appear. It identifies the creator and notes that an earlier version was implemented in MQL4 and published in 2008. The document does not explain how…

Tehniskie indikatoriCenas izrāviens
MQL5 code base

The expert advisor described here uses a moving average to determine entries and offers two martingale variants. After a loss, one variant opens a larger trade in the opposite direction; the other opens a larger trade based on whether price is above or below…

Valūtu tirgusAtgriešanās pie vidējās vērtībasRežģa tirdzniecībaRiska pārvaldība
BigQuant

This course-lecture summary introduces the role of planning and learned models in reinforcement learning. It identifies Dyna and Monte Carlo tree search as examples of algorithms that use models, and notes that the lecture is presented by research engineer…

MašīnmācīšanāsStatistika
BigQuant

This research note describes an earnings-expectations approach to positioning in Sanhuan Group, a Chinese electronics company. It constructs an “earnings overpricing” index within a fixed price-to-earnings valuation framework and uses the measure to allocate…

AkcijasĶīnas tirgiAtgriešanās pie vidējās vērtībasVēsturisko datu pārbaude
MQL5 code base

This alert tool monitors an indicator that compares linear, quadratic, logarithmic, and exponential regressions, then selects the model that best fits the analyzed data. It notifies the trader when that selection changes, including when the fitted regression…

Tehniskie indikatoriStatistikaCenas izrāviens
MQL5 code base

This document describes an expert advisor built around Parabolic Stop and Reverse signals. A trade signal is generated after a bar closes and the indicated trend direction changes. The system can also apply a fixed maximum holding period, closing an open…

Valūtu tirgusTehniskie indikatoriSekošana tendenceiRiska pārvaldība
BigQuant

This research summary examines whether mutual fund managers’ tendency to follow prior institutional trading can reveal investment skill. It describes a fund-level dynamic herding measure, FH, and tests whether funds with stronger herding subsequently…

AkcijasStatistikaFaktoru ieguldīšanaASV tirgi
Cryptohopper blog

This introductory guide explains bull markets as sustained rising-price environments and bear markets as prolonged declines accompanied by weaker confidence. It connects market direction with investor sentiment and outlines several discretionary approaches:…

KriptoaktīviSekošana tendenceiRiska pārvaldībaPozīcijas apjoma noteikšana