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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: 7,910

Strategy library

This code example shows how to submit stop-loss, take-profit, and combined one-cancels-the-other orders through the OKX V5 algorithmic-order endpoint. It provides separate helpers for long and short positions, setting the closing side and position side…

KriptoaktīviNākotnes līgumiRīkojumu izpildeRiska pārvaldība
Strategy library

The strategy uses a fast and a slow moving average to follow directional moves. A cross of the fast average above the slow average opens a long position, while a cross below opens a short position. The description also gives exit rules based on price or the…

Tehniskie indikatoriSekošana tendenceiCenas impulssNākotnes līgumi
Strategy library

This trend-following system uses a 9-period and 21-period EMA crossover as its directional trigger, then filters long entries with RSI above 50, volume above its 20-period average, and ADX above 25. Its sell rule is triggered by a downward EMA crossover, RSI…

Nākotnes līgumiKriptoaktīviTehniskie indikatoriSekošana tendencei
Strategy library

This example shows how to constrain a moving-average crossover strategy by both calendar dates and intraday sessions. User inputs define a start and end date, plus separate permitted sessions for entries and exits. The date predicate compares each bar’s…

Vēsturisko datu pārbaudeTehniskie indikatoriSekošana tendencei
Strategy library

The document describes a trend-following method built around MACD crossovers: a buy signal occurs when the MACD line crosses above its signal line, and a sell signal when it crosses below. Its written overview also presents KDJ as an overbought and oversold…

Nākotnes līgumiKriptoaktīviTehniskie indikatoriSekošana tendencei
Strategy library

This strategy combines Ichimoku levels, MACD, and fast and slow Hull moving averages to identify entries and exits. Long entries require the Hull averages to indicate an upward move, price above the slower Hull average, MACD above its signal line, and either…

Nākotnes līgumiKriptoaktīviTehniskie indikatoriSekošana tendencei
Strategy library

This system combines a trend filter, a volatility threshold, and a three-candle momentum pattern. It permits longs only above a trend EMA and shorts only below it. For either direction, three consecutive candles must move in the same direction, their closes…

Sekošana tendenceiCenas impulssSvārstīgumsTehniskie indikatori
Strategy library

This strategy uses Average True Range (ATR) to set dynamic breakout levels around recent highs and lows. A confirmed close crossing above the prior bar’s upper level triggers a long signal; a cross below the lower level triggers a short signal. The system…

Cenas izrāviensSvārstīgumsSekošana tendenceiTehniskie indikatori
Strategy library

This calendar-spread style strategy trades the ratio between copper and aluminum futures. It multiplies each contract’s close by its volume multiplier, computes a rolling historical mean and standard deviation, and converts the current ratio to a z-score.…

Nākotnes līgumiIzejvielasPāru tirdzniecībaAtgriešanās pie vidējās vērtības
Strategy library

This strategy combines short EMAs of the high and low prices as bands with a longer EMA of closing prices and a Stochastic oscillator. It signals a long when the close is below the lower band, the open is below the bands’ midpoint, price is below the…

OpcijasTehniskie indikatoriAtgriešanās pie vidējās vērtībasRiska pārvaldība
Strategy library

This long-only dollar-cost-averaging approach combines EMA trend structure, Bollinger Band position, MACD, and RSI conditions for initial entries. When price falls below average entry cost, it can add progressively larger amounts after increasingly deep…

KriptoaktīviNākotnes līgumiAtgriešanās pie vidējās vērtībasTehniskie indikatori
Strategy library

This BTC futures strategy combines Bollinger Bands with a configurable simple or exponential moving average. The bands use a 20-period simple moving average as their midpoint and extend by a chosen multiple of standard deviation. A long signal occurs when…

Nākotnes līgumiKriptoaktīviSekošana tendenceiSvārstīgums
Strategy library

This document outlines a multi-indicator system combining Bollinger Bands, Woodies CCI, moving averages, on-balance volume, and ATR. The described concept uses the bands to frame volatility, short and long moving averages to represent trend, and smoothed…

KriptoaktīviNākotnes līgumiTehniskie indikatoriSvārstīgums
Strategy library

This strategy combines a MACD histogram color filter with a linear regression curve and a price action channel formed from exponential averages of highs, lows, and closes. Long signals require the regression curve to cross above the channel’s lower band and…

KriptoaktīviNākotnes līgumiTehniskie indikatoriAugstas frekvences tirdzniecība
Strategy library

This strategy identifies fair value gaps from price relationships across three candles and uses the gap size relative to price as an entry threshold. It is described for a 15-minute chart, with long and short signals taken from bullish and bearish gaps. The…

KriptoaktīviNākotnes līgumiCenas izrāviensRiska pārvaldība
Strategy library

The document explains gamma scalping through a modeled long straddle and dynamic hedging of its changing delta. It describes Black–Scholes Greeks, emphasizing gamma’s potential to create gains from repeated rebalancing and theta decay as a cost. The proposed…

OpcijasSvārstīgumsAtvasināto instrumentu cenu noteikšanaRiska pārvaldība
Strategy library

The Elder Ray indicator frames the exponential moving average as a reference for market value, then measures buying and selling pressure relative to it. Bull power is the high minus the EMA, while bear power is the low minus the EMA. The described strategy…

KriptoaktīviNākotnes līgumiSekošana tendenceiTehniskie indikatori
Strategy library

This inventory-based strategy trades one asset around a reference price, such as a moving average or the midpoint of recent highs and lows. It begins with a partial position, then signals buys or sells when price moves sufficiently far from the reference or…

KriptoaktīviRežģa tirdzniecībaAtgriešanās pie vidējās vērtībasPozīcijas apjoma noteikšana
Strategy library

This futures pairs strategy estimates a changing hedge ratio between two SHFE contracts with a Kalman filter. It updates the ratio from hourly closing prices, forms a spread by subtracting the hedged X price from Y, then standardizes that spread against a…

Nākotnes līgumiPāru tirdzniecībaAtgriešanās pie vidējās vērtībasStatistika
Strategy library

This Pine strategy excerpt defines a moving average framework using configurable fast and slow simple moving averages, set by default to 20 and 200 periods. It offers buy-only, sell-only, or two-way trading and three entry strictness choices: entering at a…

Tehniskie indikatoriSekošana tendenceiRiska pārvaldībaVēsturisko datu pārbaude
Strategy library

This strategy combines a Gaussian-filtered price channel with StochRSI to seek long entries during upward trends. It calculates a smoothed price line and a volatility-based band from a selected price source. Reduced-lag and fast-response options adjust the…

KriptoaktīviNākotnes līgumiSekošana tendenceiCenas izrāviens
Strategy library

This long-only strategy enters when price crosses above an exponential moving average and exits on a cross below. It adds a stop-loss level, a profit target, and a trailing-stop level, with example defaults of a 20-period EMA, a 1% stop, a 2% target, and a…

Tehniskie indikatoriSekošana tendenceiRiska pārvaldībaPozīcijas apjoma noteikšana
Strategy library

This document presents a price-channel strategy intended as a simple, rule-based approach for investors who cannot monitor markets continuously. It calculates the highest high and lowest low over a rolling lookback window, set to 21 periods by default. The…

AkcijasCenas izrāviensTehniskie indikatoriPortfeļa veidošana
Strategy library

This cryptocurrency strategy combines the Money Flow Index, Relative Strength Index, and Stochastic RSI to identify extreme readings. It proposes entering long when all three indicators are in oversold territory and entering short when they are all…

KriptoaktīviNākotnes līgumiCenas impulssTehniskie indikatori