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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
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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 strategy smooths the Relative Strength Index (RSI) with a Tillson T3 average, then constructs a PMax stop line whose distance from T3 depends on the Average True Range (ATR). The stop distance therefore adjusts with measured volatility. In the source, a…

Tehniskie indikatoriSekošana tendenceiSvārstīgumsRiska pārvaldība
Strategy library

This swing-trading strategy builds a rolling price range from recent highs and lows, then derives two levels within it. A long signal occurs when the current low is above the 38.2% level and the previous candle closed above its open. The strategy places a…

Tehniskie indikatoriCenas izrāviensSekošana tendenceiRiska pārvaldība
Strategy library

This is a long-only dollar-cost averaging framework for an AMZN perpetual contract. It arms a base entry when the 4-hour RSI falls below its configured oversold threshold, then places up to five additional buy orders at fixed declines from the base entry.…

Perpetuālie nākotnes līgumiAtgriešanās pie vidējās vērtībasTehniskie indikatoriPozīcijas apjoma noteikšana
Strategy library

This long-only breakout method defines a recent price range as a bull flag, using rolling highs and lows over a configurable length. It enters when the close moves above the prior candle’s high, provided that high remains below the calculated flag high. The…

Cenas izrāviensSekošana tendenceiRiska pārvaldībaPozīcijas apjoma noteikšana
Strategy library

This strategy compares Hull moving averages (HMAs) calculated on the chart timeframe and two user-selected timeframes. It signals long when all three HMAs are rising and short when none are rising; the chart displays the values and colors the plotted lines…

Tehniskie indikatoriSekošana tendenceiNākotnes līgumiKriptoaktīvi
Strategy library

This futures grid strategy lets the operator choose a buy-first or sell-first direction. In buy-first mode, it places a ladder of buy orders at fixed price intervals below a starting level; when one fills, it places a sell order above that fill by a…

Nākotnes līgumiRežģa tirdzniecībaRiska pārvaldībaRīkojumu izpilde
Strategy library

This technical strategy combines Bollinger Bands, MACD, and RSI to identify potential entries when price reaches an extreme. Its stated defaults use a 20-period moving average with bands two standard deviations away, MACD settings of 12, 26, and 9, and a…

Tehniskie indikatoriAtgriešanās pie vidējās vērtībasCenas impulssSvārstīgums
Strategy library

This script combines a pivot-based entry strategy with a table intended to report monthly and yearly returns alongside a benchmark. It identifies pivot highs and lows using configurable bars on either side, then places stop entries just beyond the most…

Cenas izrāviensTehniskie indikatoriVēsturisko datu pārbaudeStatistika
Strategy library

This strategy enters when price closes beyond a band formed from prior candle prices, then manages the position with ATR-based trailing stops. It starts with a tighter stop at 1.5 ATR and uses a wider 4 ATR distance while a position is open, allowing room…

Cenas izrāviensSekošana tendenceiTehniskie indikatoriRiska pārvaldība
Strategy library

This system seeks reversals near dynamically calculated support and resistance zones. A long signal requires price to test support and close above a buffer with above-average volume; a short uses the inverse resistance condition. Optional trend filtering can…

Atgriešanās pie vidējās vērtībasTehniskie indikatoriRiska pārvaldībaPozīcijas apjoma noteikšana
Strategy library

This strategy uses a volume-flow indicator to combine price movement and trading volume in a trend-following signal. It estimates price changes against a volatility threshold, caps volume contributions at a multiple of average volume, and accumulates the…

Sekošana tendenceiTehniskie indikatoriCenas impulssStatistika
Strategy library

This document describes a multi-indicator approach that combines fast, medium, and slow moving averages with signal filters for long and short decisions. The overview emphasizes moving-average alignment, SuperTrend, RSI, and Bollinger Bands. The included…

Tehniskie indikatoriSekošana tendenceiCenas impulssSvārstīgums
Strategy library

This short TradingView strategy uses Bollinger Bands and an exponential moving average to generate directional breakout trades. It goes long when the close is above both the upper band and the EMA, and short when the close is below both the lower band and…

Tehniskie indikatoriCenas izrāviensRiska pārvaldība
Strategy library

This script describes a trend-following system that aligns a fast and slow EMA with RSI confirmation. With defaults of 9 and 21 periods for the EMAs and 14 periods for RSI, it considers longs when the fast EMA is above the slow EMA and RSI is above 50;…

Sekošana tendenceiCenas impulssTehniskie indikatoriRiska pārvaldība
Strategy library

The Psychological Line indicator measures the share of closes in a lookback period that are higher than the preceding close. This strategy interprets readings above 50% as buyer control and takes a long position, while readings below 50% indicate seller…

Nākotnes līgumiKriptoaktīviCenas impulssTehniskie indikatori
Strategy library

This script builds three Fibonacci retracement levels from the highest high and lowest low over a rolling lookback. The published defaults use a 50-bar window and levels at 0.236, 0.382, and 0.618 of that range. It opens a long position when the close…

Nākotnes līgumiKriptoaktīviTehniskie indikatoriVēsturisko datu pārbaude
Strategy library

This strategy uses the 21-period and 55-period EMAs to define the prevailing direction, then seeks entries on counter-directional candle moves. It buys when the close is below the open while the faster EMA is above the slower one, and sells short when the…

Nākotnes līgumiKriptoaktīviSekošana tendenceiAtgriešanās pie vidējās vērtības
Strategy library

This BTC futures strategy pairs a fast and slow moving average crossover with a Bollinger Band signal. The script uses an 8-period and an 89-period simple moving average; a bullish crossover must coincide with a recent price cross above the lower band to…

Nākotnes līgumiSekošana tendenceiCenas izrāviensTehniskie indikatori
Strategy library

This script identifies the latest confirmed pivot high and low, then enters long when price crosses above the high or short when it crosses below the low. An optional filter requires a volume surge, intrabar price momentum, RSI on the appropriate side of its…

Cenas izrāviensCenas impulssTehniskie indikatoriRiska pārvaldība
Strategy library

This strategy combines Ichimoku conditions to identify long and short entries. Long signals require the conversion line to be at or above the base line, price above the cloud, a bullish projected cloud, and confirmation from the lagging-span comparison;…

Nākotnes līgumiKriptoaktīviSekošana tendenceiTehniskie indikatori
Strategy library

This document outlines a BTC futures trend strategy built around 8-period and 20-period EMAs. It combines their crossovers with normalized ATR thresholds, a SuperTrend market direction filter, expanding-volume entry and exit checks, and stop-loss and…

Nākotnes līgumiKriptoaktīviSekošana tendenceiTehniskie indikatori
Strategy library

This document describes a strategy that classifies more than forty candlestick patterns as bullish or bearish and combines those signals with rolling price extremes. Its stated example enters long when a bullish pattern coincides with a break above a recent…

Tehniskie indikatoriSekošana tendenceiCenas izrāviensRiska pārvaldība
Strategy library

The visible portion of this strategy builds a continuous buying score from three components: distance below the Bollinger Band basis, price relative to a ladder of long-period moving averages, and low RSI. The moving-average score rises as price falls…

Atgriešanās pie vidējās vērtībasTehniskie indikatoriPozīcijas apjoma noteikšanaRiska pārvaldība
Strategy library

The strategy pairs an EMA crossover entry with Ichimoku-based exit signals. It describes buying when the shorter EMA crosses above the longer EMA, then selling when price falls below the cloud or the cloud’s leading spans turn bearish. The article also…

Tehniskie indikatoriSekošana tendenceiRiska pārvaldībaNākotnes līgumi