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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
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SuperMind
Dokumentu skaits: 12,226
OKX Learn
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Strategy library
Dokumentu skaits: 7,910
MQL5 code base
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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
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vn.py community
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QuantInsti blog
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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
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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
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backtrader
Dokumentu skaits: 54
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
Dokumentu skaits: 34
Freqtrade docs
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quant-trading
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FinRL
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Zipline
Dokumentu skaits: 22
FMZ live strategies
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Jesse
Dokumentu skaits: 17
pyfolio
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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 stock strategy uses Bollinger Bands to identify upward momentum. It looks for the upper, middle, and lower bands to rise over successive observations and requires the latest close to be above the middle band before opening a long position. The code…

AkcijasSekošana tendenceiTehniskie indikatoriRiska pārvaldība
Strategy library

This document describes a backtest framework for recurring fixed-amount purchases on daily, weekly, or monthly schedules. The schedule determines when to buy within a selected date range; each purchase converts the specified cash amount into units at the…

Vēsturisko datu pārbaudePozīcijas apjoma noteikšanaPortfeļa veidošanaKriptoaktīvi
Strategy library

The strategy defines equilibrium as the midpoint between the highest high and lowest low over a lookback window, following the same calculation used for the Ichimoku baseline. It identifies a trend when closing prices remain on one side of equilibrium for a…

Sekošana tendenceiAtgriešanās pie vidējās vērtībasTehniskie indikatoriSvārstīgums
Strategy library

This QuantConnect example shows how to define custom data readers for the NIFTY index and USD/INR, then add both series to an algorithm. The NIFTY reader parses daily OHLC values from a remote CSV source, while the currency reader parses daily closes. The…

AkcijasValūtu tirgusCenas izrāviensPozīcijas apjoma noteikšana
Strategy library

This breakout system enters when the close moves beyond a Bollinger Band and RSI confirms direction: above the midline for an upside break and below it for a downside break. A direction setting can allow long trades, short trades, or both. The source sets a…

Nākotnes līgumiCenas izrāviensTehniskie indikatoriCenas impulss
Strategy library

The document describes buying BTC/USDT futures after price falls below successive moving-average levels, with additional entries as the decline deepens and a maximum of four entry tiers in its narrative. It aims to capture a rebound, then exits after a…

Nākotnes līgumiAtgriešanās pie vidējās vērtībasTehniskie indikatoriPozīcijas apjoma noteikšana
Strategy library

This strategy combines an ATR-based Supertrend with a volume filter. It enters long when price crosses above the Supertrend and short when price crosses below it, provided volume exceeds a threshold relative to its moving average. Stop and target distances…

Nākotnes līgumiCenas izrāviensTehniskie indikatoriSvārstīgums
Strategy library

This partial Pine Script strategy provides configurable long and short signal inputs, trading-session filters, and position management for Renko charts. Users can choose single or dual signal logic, define separate entry and exit sources, and enable evening,…

Nākotnes līgumiTehniskie indikatoriRiska pārvaldībaRīkojumu izpilde
Strategy library

The document shows a Keltner Channel breakout strategy with configurable channel length, multiplier, price source, moving-average type, and range calculation. A close crossing above the upper band arms a potential long breakout; a crossing below the lower…

Tehniskie indikatoriCenas izrāviensSvārstīgumsRiska pārvaldība
Strategy library

The strategy uses crossovers between short- and long-period simple moving averages to signal entries, then checks a higher-timeframe trend state before taking a trade. Open positions are closed when that confirmation reverses. Optional take-profit and…

Nākotnes līgumiSekošana tendenceiTehniskie indikatoriRiska pārvaldība
Strategy library

This strategy uses a smoothed Stochastic %K line for entries and optional stop-loss and take-profit orders. Long signals occur when %K crosses upward through the oversold threshold or the middle level; short signals occur when it crosses downward through the…

KriptoaktīviNākotnes līgumiTehniskie indikatoriRiska pārvaldība
Strategy library

This workflow describes a bidirectional grid for cryptocurrency perpetual futures. From an initial reference price, it places long levels below and short levels above; positions are opened as price reaches grid steps and are intended to close when price…

KriptoaktīviPerpetuālie nākotnes līgumiRežģa tirdzniecībaTirgus noskaņojums
Strategy library

This trend-following method combines a Hull moving average with a least-squares moving average (LSMA). It describes taking a long position when the Hull measures indicate an uptrend and LSMA crosses above the Hull midline, and taking a short position under…

KriptoaktīviSekošana tendenceiTehniskie indikatoriRiska pārvaldība
Strategy library

This strategy uses changes in USDT supply as a proxy for liquidity conditions in Bitcoin markets. It proposes going long when supply reaches a new high over a rolling window, then closing the position or going short when supply falls to a new low. A…

KriptoaktīviCenas izrāviensTehniskie indikatoriPerpetuālie nākotnes līgumi
Strategy library

This strategy compares the RSI of an individual cryptocurrency with the RSI of a selected crypto market index, using a higher timeframe for the reference index. The document describes buying when a relative-strength measure crosses above a threshold and…

KriptoaktīviCenas impulssTehniskie indikatoriStatistika
Strategy library

This trend-following method uses Donchian Channel breakouts to establish a main market direction and shorter lookbacks to show local trend behavior. A close above the prior channel high marks an uptrend; a close below the prior channel low marks a downtrend.…

KriptoaktīviSekošana tendenceiCenas izrāviensTehniskie indikatori
Strategy library

This scalping strategy centers on Williams %R, with a configurable moving-average filter and a Supertrend direction filter enabled by default. The inputs also allow optional choppiness, ADX, volume, and Bollinger Band width filters, giving the user ways to…

Tehniskie indikatoriCenas impulssSvārstīgumsRiska pārvaldība
Strategy library

This system combines RSI extremes with Supertrend direction to time short-term trades, then uses ATR to set stop and target distances. A long setup requires RSI below 20 while the trend is upward; a short setup requires RSI above 80 while the trend is…

KriptoaktīviNākotnes līgumiSekošana tendenceiSvārstīgums
Strategy library

This strategy framework combines market structure with liquidity concepts. Its inputs specify swing detection, a backward search for the last opposite-colored candle as a candidate order block, optional fair value gap confluence after a break of structure,…

Tehniskie indikatoriTirgus mikrostruktūraRiska pārvaldībaVēsturisko datu pārbaude
Strategy library

This Pine strategy plots prior-day high and low, the classic pivot point calculated from the prior day's high, low, and close, and its first support and resistance levels. It also calculates a typical-price series from the previous bar. Display options let…

Tehniskie indikatoriNākotnes līgumiAkcijas
Strategy library

The document presents a breakout approach that uses Bollinger Bands to identify directional price moves and RSI to filter entries. A close above the upper band with RSI below 70 is treated as bullish; a move below the lower band with RSI above 30 is bearish.…

Nākotnes līgumiKriptoaktīviCenas izrāviensTehniskie indikatori
Strategy library

This strategy uses a short-period RSI to seek temporary reversals during strong trends. It opens a short when RSI reaches 96 and a long when RSI falls below 4, then closes longs above 80 and shorts below 20. The published parameter set uses a 2-period RSI…

KriptoaktīviNākotnes līgumiAtgriešanās pie vidējās vērtībasTehniskie indikatori
Strategy library

This trend strategy combines EMA alignment, Supertrend direction, and an engulfing candle as an entry trigger. Longs require a bullish EMA ordering and price above the longest EMA; shorts require the inverse conditions. It limits signals to a London session…

Nākotnes līgumiSekošana tendenceiTehniskie indikatoriRiska pārvaldība
Strategy library

This strategy constructs two price levels around a simple moving average: a lower band for long limit entries and an upper band for short entries. The band offsets are configurable, and the rules also include a date cutoff that closes open positions after…

Nākotnes līgumiAtgriešanās pie vidējās vērtībasTehniskie indikatoriRīkojumu izpilde