Pāriet uz saturu

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
Quantpedia
Dokumentu skaits: 86
TqSdk
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
Quantopian lekcijas
Dokumentu skaits: 45
Binance API docs
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 classifies market direction using the ordering of three EMAs, with the document assigning bullish or bearish status to each possible ordering. It combines that regime classification with an ATR-based trailing level: a signal is considered when…

Nākotnes līgumiSekošana tendenceiSvārstīgumsTehniskie indikatori
Strategy library

This simple trend-following method calculates fast and slow EMAs and uses their crossovers to guide trades: a fast-line move above the slow line opens a long position, while a move below closes positions. The strategy includes inputs for EMA periods and a…

Nākotnes līgumiSekošana tendenceiTehniskie indikatoriVēsturisko datu pārbaude
Strategy library

This strategy uses a medium to long EMA and a shorter EMA-derived signal line to track trends. It applies highest and lowest calculations to the longer EMA, then selects a signal line based on how that EMA sits relative to those bounds. Crosses between the…

Nākotnes līgumiSekošana tendenceiTehniskie indikatoriVēsturisko datu pārbaude
Strategy library

This MetaTrader expert advisor combines Heikin Ashi candles, Chandelier Exit levels, and a zero-lag least-squares moving average (ZLSMA). A buy signal occurs when the Chandelier indicator marks an upward level and the Heikin Ashi close is above the ZLSMA; a…

Valūtu tirgusSekošana tendenceiTehniskie indikatoriRiska pārvaldība
Strategy library

This strategy combines 5-period and 20-period EMA crossovers with an ATR channel filter. It signals a long position when the fast EMA crosses above the slow EMA and price is above the slow EMA plus an ATR multiple; the inverse conditions signal a short…

Nākotnes līgumiSekošana tendenceiSvārstīgumsTehniskie indikatori
Strategy library

This strategy uses swing highs and lows to anchor upward and downward Gann angle lines. A configurable lookback identifies those pivots, and price crossing above a rising line signals a long entry while crossing below a falling line signals a short entry.…

Nākotnes līgumiSekošana tendenceiCenas izrāviensTehniskie indikatori
Strategy library

This trend-following strategy uses a fast and slow exponential moving average (EMA) to set directional bias, then looks for candlestick patterns to time entries. In an uptrend, a hammer or bullish engulfing pattern can open a long; in a downtrend, a bearish…

Sekošana tendenceiTehniskie indikatoriRiska pārvaldībaCenas impulss
Strategy library

This reversal approach combines the slope of a linear regression on price with consecutive-bar conditions and an ATR-based channel calculation. In the described signal logic, a negative regression slope with a rising bar sequence can trigger a short, while a…

Nākotnes līgumiKriptoaktīviAtgriešanās pie vidējās vērtībasTehniskie indikatori
Strategy library

This mean-reversion strategy pairs Bollinger Bands with the Intraday Intensity Index, a measure combining price location within the bar and trading volume. It looks for price to cross back inside a band after moving outside it: a move back above the lower…

Nākotnes līgumiKriptoaktīviAtgriešanās pie vidējās vērtībasTehniskie indikatori
Strategy library

This strategy builds upper and lower price bands around a simple moving average (SMA), using average true range (ATR) to scale their distance. A close crossing above the upper band opens a long position; a close crossing below the lower band opens a short.…

Nākotnes līgumiKriptoaktīviCenas izrāviensSekošana tendencei
Strategy library

The visible script describes a range-reversal strategy that looks for relatively flat Bollinger Band midlines, then tracks touches of the lower or upper band. Such a touch opens a configurable window in which reversal signals may qualify, provided the flat…

Atgriešanās pie vidējās vērtībasTehniskie indikatoriRiska pārvaldībaSvārstīgums
Strategy library

This document presents an open-source Pine Script strategy framework for testing externally supplied trading signals. Its visible components include selectable moving-average calculations and controls for enabling long or short trades, reversing signals,…

Vēsturisko datu pārbaudeRiska pārvaldībaPozīcijas apjoma noteikšanaTehniskie indikatori
Strategy library

This long-only strategy uses Bollinger Bands and Keltner Channels to identify squeeze conditions, then uses a linear-regression momentum measure to time entries and exits. The stated setup treats bands fully inside the channels as a squeeze. A momentum slope…

KriptoaktīviNākotnes līgumiCenas impulssSvārstīgums
Strategy library

This long-only strategy calculates a rolling low and high from prior closing prices. It enters when the close crosses above the previous lookback window’s lowest close, optionally requiring price to be above an EMA. This entry is a recovery above a recent…

KriptoaktīviNākotnes līgumiAtgriešanās pie vidējās vērtībasTehniskie indikatori
Strategy library

This strategy seeks entries on pullbacks to a fast EMA in the direction of a broader trend. It defines bullish and bearish retests using price's relationship to the 44-period and 200-period EMAs, then requires volume to exceed its 20-period average. Daily…

Sekošana tendenceiTehniskie indikatoriRiska pārvaldībaPozīcijas apjoma noteikšana
Strategy library

This strategy seeks pullbacks around session VWAP in the direction of a higher-timeframe trend. It defines a rejection candle as price probing beyond VWAP by a minimum tick distance and then closing back across it. The next bar places a stop entry beyond…

Nākotnes līgumiSekošana tendenceiAtgriešanās pie vidējās vērtībasTehniskie indikatori
Strategy library

This short-term strategy combines the Choppiness Index, On-Balance Volume (OBV), and Average True Range (ATR). It enters long when the Choppiness Index is below a threshold and OBV is above its moving average; it enters short when the same trend filter holds…

KriptoaktīviNākotnes līgumiSekošana tendenceiTehniskie indikatori
Strategy library

This long-only strategy uses Morning Star candlestick patterns to identify potential bullish reversals and enters when price is above the 60-period exponential moving average (EMA). The pattern combines a bearish candle, a small-bodied middle candle, and a…

KriptoaktīviNākotnes līgumiCenas izrāviensTehniskie indikatori
Strategy library

This script classifies market conditions as range-bound when ADX is below a threshold, RSI is between lower and upper bounds, and Bollinger Band width is sufficiently narrow. It also calculates a historical-volatility proxy for its dashboard, though that…

AkcijasAtgriešanās pie vidējās vērtībasSvārstīgumsTehniskie indikatori
Strategy library

The WaveTrend Cross strategy derives an oscillator from typical price, an exponential average, and a normalized deviation, then smooths it into two lines. With default periods of 10 and 21, the faster WaveTrend line crossing above the slower line triggers a…

KriptoaktīviNākotnes līgumiCenas impulssTehniskie indikatori
Strategy library

This strategy combines three SuperTrend lines with a long-term EMA filter and Stochastic RSI timing. It permits longs above the EMA and shorts below it. Entries use Stochastic RSI crossovers from extreme zones alongside SuperTrend alignment: the code’s…

KriptoaktīviNākotnes līgumiSekošana tendenceiTehniskie indikatori
Strategy library

This strategy combines an RSI-adjusted Tillson T3 moving average with a squeeze momentum measure to generate directional entries. RSI controls the T3 length: higher RSI shortens it, while lower RSI lengthens it. The script calculates Bollinger Bands and…

KriptoaktīviSekošana tendenceiCenas impulssTehniskie indikatori
Strategy library

This signal strategy combines RSI, Bollinger Bands, the Intraday Momentum Index, and the Money Flow Index to identify aligned oversold or overbought conditions. A regular buy signal requires RSI and IMI below 30, price below the lower band, and MFI below 20.…

Tehniskie indikatoriAtgriešanās pie vidējās vērtībasKriptoaktīviVēsturisko datu pārbaude
Strategy library

This two-sided perpetual futures strategy combines crossovers of fast and medium EMAs with MACD confirmation. A long setup requires the fast EMA to cross above the medium EMA and the MACD histogram to turn positive, with the MACD difference at or above zero;…

KriptoaktīviNākotnes līgumiPerpetuālie nākotnes līgumiTehniskie indikatori