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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
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TradingView scripts
Dokumentu skaits: 1,976
ProRealCode
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Deribit Insights
Dokumentu skaits: 1,232
Machine Learning for Trading
Dokumentu skaits: 1,124
arXiv papers
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Amberdata research
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FMZ forum
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FMZ digest
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vn.py community
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QuantInsti blog
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Galaxy Research
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QuantStart
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Stratmill research code
Dokumentu skaits: 219
Robot Wealth
Dokumentu skaits: 195
NautilusTrader
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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
Dokumentu skaits: 61
backtrader
Dokumentu skaits: 54
vn.py
Dokumentu skaits: 50
Binance API docs
Dokumentu skaits: 45
Quantopian lekcijas
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FMZ guides
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pysystemtrade
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Freqtrade docs
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quant-trading
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FinRL
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Zipline
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FMZ live strategies
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Jesse
Dokumentu skaits: 17
pyfolio
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Alphalens
Dokumentu skaits: 14
WonderTrader
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backtesting.py
Dokumentu skaits: 11
Technical Analysis
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QTPyLib
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QuantRocket
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Lumibot strategies
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Awesome Quant
Dokumentu skaits: 1

Meklēt bibliotēkā

Dokumentu skaits: 7,910

Strategy library

This Freqtrade example uses a five-minute trading timeframe and adds RSI readings from 30-minute and one-hour charts, as well as one-hour readings for selected cross-market pairs. Its long-entry condition requires several of these RSI values to be low at…

Tehniskie indikatoriVairāku aktīvu tirdzniecībaAtgriešanās pie vidējās vērtībasRiska pārvaldība
Strategy library

This strategy combines RSI thresholds with the relative position of two EMAs. It signals a long when the 14-period RSI is below 40 while the 9-period EMA is above the 21-period EMA; it signals a short when RSI is above 60 while the fast EMA is below the slow…

Tehniskie indikatoriSekošana tendenceiCenas impulssRiska pārvaldība
Strategy library

This strategy defines an opening range from the high and low of the first three five-minute candles after the market opens, covering 9:30–9:45. If a candle closes above the range high, it places a long limit order at that boundary; a close below the range…

Cenas izrāviensRīkojumu izpildeRiska pārvaldībaVēsturisko datu pārbaude
Strategy library

This Pine Script strategy configures an Ichimoku-based workflow with selectable parameter presets, custom lengths, and a higher-timeframe input. The visible presets cover crypto and traditional-market conventions, including standard and doubled lengths.…

Tehniskie indikatoriCenas izrāviensSekošana tendencei
Strategy library

This intraday strategy limits entries to a specified London session window on weekdays. It goes long after three consecutive rising candles and short after three consecutive falling candles. Entries are managed with percentage-based stop-loss and take-profit…

Valūtu tirgusCenas izrāviensCenas impulssRiska pārvaldība
Strategy library

This strategy uses a triple exponential moving average (TEMA) to generate directional signals. It calculates three successive EMAs of closing price, then combines them as three times the first EMA, minus three times the second, plus the third. A close above…

Tehniskie indikatoriSekošana tendenceiCenas izrāviensNākotnes līgumi
Strategy library

This strategy uses the Directional Trend Index (DTI), derived by smoothing changes in highs and lows, to generate directional positions. The indicator applies three successive exponential averages to signed price movement and its absolute value, then scales…

KriptoaktīviNākotnes līgumiSekošana tendenceiTehniskie indikatori
Strategy library

This document presents a breakout strategy paired with a parameter sweep. It describes testing combinations of lookback length, take-profit percentage, and stop-loss percentage, then ranking results by win rate, net profit, or trade count. The strategy…

Cenas izrāviensVēsturisko datu pārbaudeRiska pārvaldībaNākotnes līgumi
Strategy library

This trend-following system requires several indicators to align before entering. Price above or below a 100-period EMA defines direction; a MACD crossover supplies the momentum trigger; RSI above or below 50 checks directional strength; and ADX above a…

KriptoaktīviNākotnes līgumiSekošana tendenceiCenas impulss
Strategy library

This strategy uses rolling high-low averages, labeled XHL2 and XHLC3, to smooth price behavior and assess direction. It derives a price movement measure from the close and changes in the smoothed series, then compares that measure with a factor-scaled price…

KriptoaktīviNākotnes līgumiTehniskie indikatoriSekošana tendencei
Strategy library

This strategy combines RSI divergence with trend and momentum filters. A bullish setup occurs when price makes a lower low while RSI holds above its prior low; a bearish setup uses a higher price high with a lower RSI high. It then allows longs only above a…

KriptoaktīviNākotnes līgumiTehniskie indikatoriCenas impulss
Strategy library

This trend-following system uses a short EMA crossing a medium EMA to trigger entries, with price relative to a longer EMA and a daily higher-timeframe EMA as directional filters. Long trades require an upward crossover and price above both filters; shorts…

Sekošana tendenceiTehniskie indikatoriSvārstīgumsRiska pārvaldība
Strategy library

The strategy pairs a short perpetual futures position with a long spot position in the same cryptocurrency. The hedge is intended to reduce exposure to the coin’s price direction while collecting funding when the rate favors shorts. It proposes selecting…

KriptoaktīviArbitrāžaPerpetuālie nākotnes līgumiTūlītējo darījumu tirgi
Strategy library

This proposed trend-following system combines price position relative to 200-period EMA and SMA filters with a directional prediction signal. It describes taking long positions when price is above both averages and the prediction is positive, and short…

Sekošana tendenceiTehniskie indikatoriMašīnmācīšanāsRiska pārvaldība
Strategy library

This strategy uses the Coppock Curve, calculated as a weighted moving average of two rates of change, to generate long and exit signals. It derives the indicator from daily SPY closes and enters when the curve rises above zero, closing when it falls below. A…

Tehniskie indikatoriSekošana tendenceiAkcijasRiska pārvaldība
Strategy library

This trend-following strategy compares fast and slow momentum readings, defaulting to five and ten periods. It enters long when both readings are above zero and exits if either turns negative; it enters short when both are below zero and exits if either…

KriptoaktīviNākotnes līgumiCenas impulssSekošana tendencei
Strategy library

This long-only BTC futures strategy uses an upward cross of the 25-period EMA above the 100-period EMA as its entry signal. It places the initial stop at the low of the most recent bearish candle below the slower EMA and sets a profit target at three times…

KriptoaktīviNākotnes līgumiCenas izrāviensSekošana tendencei
Strategy library

This BTC futures swing strategy combines a 20-period EMA and 50-period SMA crossover with RSI confirmation. It permits a long entry when the averages cross upward and RSI is below 70, or a short entry on a downward cross when RSI is above 30. ATR is used to…

KriptoaktīviNākotnes līgumiSekošana tendenceiTehniskie indikatori
Strategy library

This BTC futures strategy uses a 104-period Hull Moving Average to generate directional entries. It opens a long position when the close crosses above the HMA and a short position when it crosses below, using two contracts per trade. Each entry has a fixed…

KriptoaktīviNākotnes līgumiSekošana tendenceiTehniskie indikatori
Strategy library

This strategy combines a stochastic calculation applied to RSI with an exponential moving average (EMA) filter. The Stochastic K and D values provide configurable overbought or oversold signals, while price relative to the EMA determines whether a long or…

Tehniskie indikatoriCenas impulssAtgriešanās pie vidējās vērtībasNākotnes līgumi
Strategy library

This strategy uses a moving average and standard deviation to form upper and lower Bollinger Bands. Its implemented rules enter long when price crosses below the upper band and enter short when price crosses above the lower band, with percentage-based profit…

Nākotnes līgumiTehniskie indikatoriCenas izrāviensRiska pārvaldība
Strategy library

This strategy applies a rolling high-low channel to On-Balance Volume (OBV) rather than to price. OBV accumulates volume with a positive or negative sign based on price direction. A break above the prior channel high switches the system into a bullish mode…

Tehniskie indikatoriCenas izrāviensCenas impulssSekošana tendencei
Strategy library

This swing strategy builds an upper and lower channel by averaging several moving-average calculations separately on candle highs and lows. It enters long when the close is above the high-based average and short when the close falls below the low-based…

Tehniskie indikatoriSekošana tendenceiCenas izrāviensNākotnes līgumi
Strategy library

This strategy calculates the highest high and lowest low over a rolling 50-day window, then marks retracement levels at 0.236, 0.382, and 0.618 of that range. It enters long when the close crosses above the 0.618 level and exits when it crosses below the…

KriptoaktīviNākotnes līgumiTehniskie indikatoriCenas izrāviens