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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

The described expert advisor uses Fractals and Ichimoku signals to open trades, then increases the lot size after a losing trade according to a configurable multiplier. It lists trailing stops and take-profit settings, money-based exits for multiple trades,…

Valūtu tirgusTehniskie indikatoriPozīcijas apjoma noteikšanaRiska pārvaldība
Amberdata research

This conference recap describes themes reported at Consensus Hong Kong 2025, including greater institutional participation in digital assets, regulatory developments, and interest in combining blockchain with artificial intelligence. It says Hong Kong's…

KriptoaktīviAtvasināto instrumentu cenu noteikšanaTirgus mikrostruktūraĶīnas tirgi
SuperMind

The document describes a Chinese equity screen that combines at least five overlapping moving averages, a circulating market value above 200 million, and revenue in 2021 exceeding 1.1 times revenue in 2018. The moving-average condition is presented as a way…

AkcijasTehniskie indikatoriFaktoru ieguldīšanaRiska pārvaldība
BigQuant

This opinion piece presents trading principles drawn from an interview with a Chinese market participant. It argues for acting on clearly defined chart breaks or confirmed volume-supported moves, using public policy and industry developments to identify…

Riska pārvaldībaTehniskie indikatoriSekošana tendenceiĶīnas tirgi
SuperMind

This Chinese stock-selection method seeks volatile shares that have recently shown strong price movement. Its initial rules look for daily high-low range greater than a 20-period ATR, a single-day move of at least 10% within the past 25 trading days, and a…

AkcijasSvārstīgumsCenas impulssTehniskie indikatori
FMZ forum

A trader asks why MACD golden-cross detection sometimes disagrees with a charting exchange during five-minute backtests. The comparison covers both simulated and live tickers over a two-day period. The trader reports that some cross signals were incorrectly…

KriptoaktīviTehniskie indikatoriRīkojumu izpildeStatistika
SuperMind

This Chinese A-share screening idea combines a 14-period RSI below 65, parent-company net profit growth above 20% and at most 100%, and a negative MACD reading from two sessions earlier. It also describes excluding suspended, delisted, special-treatment,…

AkcijasTehniskie indikatoriCenas impulssRiska pārvaldība
MQL5 code base

The document describes a velocity indicator presented as a smoother form of momentum. It says the calculation uses T3 smoothing and displays velocity as a tape, with Heikin Ashi prices included among the available price inputs. Its suggested use is the same…

Tehniskie indikatoriCenas impulssSekošana tendencei
SuperMind

The proposed screen selects stocks with amplitude above one, a prior-day signal described as main-force control, and at least one daily gain of 10% or more during the previous 25 trading days. It combines a volatility condition with a recent large-move…

AkcijasĶīnas tirgiCenas impulssSvārstīgums
FMZ forum

The post asks how to identify the perpetual futures pairs with the largest 24-hour percentage price changes from exchange ticker data. The example response is a list of market records containing symbols and percentage changes, along with other fields such as…

KriptoaktīviPerpetuālie nākotnes līgumiCenas impulss
SuperMind

This screening rule selects Shanghai-listed stocks with a daily high-low range above 1% of the previous close, then sorts them by an individual-stock popularity measure. The article interprets the range threshold as a way to find more volatile names and…

AkcijasĶīnas tirgiSvārstīgumsTirgus noskaņojums
SuperMind

This A-share stock selection rule screens companies classified in the metaverse industry for two signs of recent activity: appearing on the prior day’s Dragon-Tiger list and recording prior-day trading turnover above 60 million yuan. The article presents the…

AkcijasĶīnas tirgiUz notikumiem balstīta tirdzniecībaVēsturisko datu pārbaude
SuperMind

This stock screen combines a metaverse industry classification and a rounded-base chart pattern with a prior-day downside signal. The final rule accepts stocks described as having a limit-down opening match price at 9:15 or a daily decline greater than 9%.…

AkcijasĶīnas tirgiTehniskie indikatoriUz notikumiem balstīta tirdzniecība
MQL5 code base

Tengri is described as an Expert Advisor combining price-bar OHLC analysis with a standard moving average, RSI, and a custom Silence indicator. The brief identifies these components but does not explain their signal rules, parameter settings, entry or exit…

Valūtu tirgusTehniskie indikatoriPozīcijas apjoma noteikšanaRiska pārvaldība
MQL5 code base

The CCI Arrows indicator marks crossings of the Commodity Channel Index through its zero line with directional arrows, which may inform long or short decisions. Its configurable CCI period affects the balance between responsiveness and signal frequency:…

Tehniskie indikatoriCenas impulss
MQL5 code base

This document describes a ColorParabolic indicator variant with an input that lets the user choose the timeframe for its calculations or display. The example default is a four-hour period, allowing the indicator to be used with a timeframe selected through…

Tehniskie indikatori
MQL5 code base

This trading system uses the XDeMarker_Histogram_Vol indicator to generate entries when a bar closes beyond an overbought or oversold level. It distinguishes two signal levels, assigning each its own order identifier and deposit share, so stronger and…

Valūtu tirgusCenas izrāviensTehniskie indikatoriPozīcijas apjoma noteikšana
SuperMind

This post proposes a Chinese equity screening rule that combines daily price activity, the stock’s indicated gain at 9:25, and year-over-year net profit growth attributable to shareholders of the parent company. It selects stocks with an amplitude above 1,…

AkcijasĶīnas tirgiFaktoru ieguldīšanaTehniskie indikatori
SuperMind

This post proposes an A-share screen using amplitude above 1, a share price of 18.5 yuan, and an outside-to-inside trading-volume ratio above 1.3. It treats amplitude as a volatility filter, the price cutoff as a price-level constraint, and the volume ratio…

AkcijasTehniskie indikatoriSvārstīgumsĶīnas tirgi
SuperMind

This note outlines an A-share stock-selection rule requiring amplitude above 1, a close above a weekly moving average, and a MACD reading below zero two days earlier. The post interprets the amplitude condition as selecting volatile stocks, the…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
BigQuant

This page introduces the exploration–exploitation problem in reinforcement learning: a learning agent must decide when to test actions that may reveal useful information and when to choose actions based on what it has learned so far. The lecture is…

MašīnmācīšanāsStatistika
SuperMind

This note describes a simple A-share stock screen combining a daily amplitude threshold above 1, a rising-bottom condition, and a current low below the previous session’s low. It frames the rising-bottom measure as a way to identify an improving price base,…

AkcijasTehniskie indikatoriĶīnas tirgi
ProRealCode

The document describes a simple indicator that combines momentum thresholds with crossovers between momentum and a smoothed momentum average. It calculates momentum over a 20-period lookback and smooths that series with a Wilder average using a 5-period…

Tehniskie indikatoriCenas impulssAkcijasVēsturisko datu pārbaude