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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
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
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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
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
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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
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Jesse
Dokumentu skaits: 17
pyfolio
Dokumentu skaits: 16
WonderTrader
Dokumentu skaits: 14
Alphalens
Dokumentu skaits: 14
backtesting.py
Dokumentu skaits: 11
Technical Analysis
Dokumentu skaits: 9
QTPyLib
Dokumentu skaits: 8
Lumibot strategies
Dokumentu skaits: 7
QuantRocket
Dokumentu skaits: 7
Awesome Quant
Dokumentu skaits: 1

Meklēt bibliotēkā

Dokumentu skaits: 7,910

Strategy library

This strategy combines a 2-period RSI with 50-period and 200-period moving averages. It seeks long entries when the faster average is above the slower average, price is above the slower average, and RSI is below the oversold threshold; short entries use the…

Nākotnes līgumiTehniskie indikatoriSekošana tendenceiRiska pārvaldība
Strategy library

This short-term strategy combines 9-period and 21-period exponential moving average crossovers with a 14-period RSI filter. A bullish crossover can trigger a long entry when RSI is below its overbought threshold; a bearish crossover can trigger a short entry…

Nākotnes līgumiTehniskie indikatoriCenas impulssRiska pārvaldība
Strategy library

This strategy combines a long-period trend reference with an exponential moving average and candle-price crossovers to open or close long and short positions. The documented settings use a 180-period trend reference and a 180-period EMA. The written…

Nākotnes līgumiKriptoaktīviSekošana tendenceiTehniskie indikatori
Strategy library

This strategy combines a higher-timeframe reference level with RSI to filter price breakouts. It derives a dynamic level from a prior source value on a selected timeframe, then considers entries around breaks of that level when RSI is not in its extreme…

Nākotnes līgumiKriptoaktīviCenas izrāviensAtgriešanās pie vidējās vērtības
Strategy library

This trend-following system combines five simple moving averages with slope checks, price location, pullback signals, and Directional Movement Index confirmation. It uses the 20- and 200-period averages as its main trend filters: both slopes and their…

Nākotnes līgumiKriptoaktīviSekošana tendenceiTehniskie indikatori
Strategy library

This short script plots 12-period and 26-period exponential moving averages and opens long or short positions when their crossover conditions trigger. Its buy condition checks whether the 26-period average crosses above the 12-period average; its sell…

Tehniskie indikatoriSekošana tendenceiVēsturisko datu pārbaude
Strategy library

This strategy uses the ratio of a 14-period volume moving average to its prior value to identify changes in trading activity. It generates a long signal when the ratio crosses above 1.5 and a short signal when it crosses below; the opposite crossing closes…

Nākotnes līgumiKriptoaktīviCenas impulssCenas izrāviens
Strategy library

This strategy transforms the difference between the positive and negative directional indicators, +DI and −DI, into a modified DMI oscillator. The difference is optionally smoothed with a selectable moving-average type. The description presents a zero-line…

Nākotnes līgumiTehniskie indikatoriSekošana tendenceiVēsturisko datu pārbaude
Strategy library

This strategy uses an 8-period EMA crossing a 20-period EMA as its core entry signal, then applies several filters intended to screen market conditions. These include normalized 14-period ATR to exclude low movement, 14-period ADX for trend strength, a…

Nākotnes līgumiTehniskie indikatoriSekošana tendenceiSvārstīgums
Strategy library

This strategy looks for a close crossing a recent confirmed swing high or low, paired with a recent fair value gap in the same direction. An optional trend filter requires price to be above both a long SMA and EMA for bullish trades, or below both for…

Tehniskie indikatoriCenas izrāviensRiska pārvaldībaVēsturisko datu pārbaude
Strategy library

This strategy pairs a short exponential moving average crossing the Bollinger Band basis with the Awesome Oscillator's direction and momentum state. A long entry occurs when the fast average crosses above the basis, price closes above it, and the oscillator…

Valūtu tirgusKriptoaktīviCenas izrāviensTehniskie indikatori
Strategy library

This Pine strategy combines two Vegas channel and SuperTrend configurations to generate entries, with user controls for long, short, or both directions. It also exposes a holding-period limit and configurable take-profit and stop-loss behavior. The visible…

Tehniskie indikatoriRiska pārvaldībaPozīcijas apjoma noteikšanaVēsturisko datu pārbaude
Strategy library

This trend-following method combines the Average Directional Index (ADX), trading volume, and directional indicators to select entries. It requires ADX to exceed a threshold, indicating trend strength, while current volume must exceed a multiple of its…

Nākotnes līgumiSekošana tendenceiTehniskie indikatoriRiska pārvaldība
Strategy library

This short-term strategy uses 9-period and 15-period exponential moving averages (EMAs) to generate crossover signals, with a 50-period EMA as a directional filter. A bullish crossover prompts a long entry only when price is above the longer EMA; a bearish…

Nākotnes līgumiTehniskie indikatoriSekošana tendenceiRiska pārvaldība
Strategy library

The Surf Rider concept combines a short-term reversal signal with the Ergodic Candlestick Oscillator (ECO), a momentum measure based on candle body direction and size. The described 123 component uses consecutive closing-price changes and stochastic…

Nākotnes līgumiKriptoaktīviSekošana tendenceiAtgriešanās pie vidējās vērtības
Strategy library

This system uses a simple moving average to define directional bias and MACD to confirm momentum. It enters long when the selected price is above the average and MACD is positive and above its signal line; the short conditions reverse those tests. Stops are…

Tehniskie indikatoriSekošana tendenceiRiska pārvaldībaVēsturisko datu pārbaude
Strategy library

This market-making program places multiple buy and sell limit orders at distances derived from visible order-book depth. It tracks a set of order sizes, offsets, reset thresholds, and polling intervals. When the desired quote changes enough, it cancels and…

Tirgus veidošanaRīkojumu izpildeTirgus mikrostruktūraRiska pārvaldība
Strategy library

This strategy uses a 99-period simple moving average as both an entry reference and a stop level. A candle that spans the average can trigger a long when it closes above the average, or a short when it closes below it. A position closes after two consecutive…

Nākotnes līgumiTehniskie indikatoriSekošana tendenceiRiska pārvaldība
Strategy library

This strategy takes trades in the direction of price relative to a 50-period EMA, provided current volume exceeds both 1.5 times its 20-period average and the previous bar's volume. It uses the same volume filter for longs and shorts, so direction comes from…

Tehniskie indikatoriSekošana tendenceiSvārstīgumsRiska pārvaldība
Strategy library

This strategy seeks breakouts using price levels drawn from daily and weekly data, then filters entries with a 10-period simple moving average. The accompanying description presents a 30-day low as support and a 30-week high as resistance, while the code…

Cenas izrāviensSekošana tendenceiTehniskie indikatoriNākotnes līgumi
Strategy library

This trend-following strategy combines Parabolic SAR and a fast EMA for direction, RSI for momentum, and ADX for trend strength. A long signal occurs when price crosses above SAR, closes above the EMA, RSI exceeds 60, and ADX meets its threshold; shorts use…

Tehniskie indikatoriSekošana tendenceiCenas impulssRiska pārvaldība
Strategy library

This strategy combines MACD crossovers, RSI, ADX, and pivot-based support and resistance to generate long or short entries. The code requires a MACD crossover, RSI on the corresponding side of 50, directional strength from the DI lines, ADX above its…

Tehniskie indikatoriCenas impulssSekošana tendenceiRiska pārvaldība
Strategy library

This strategy combines MACD crossover signals with a 200-period EMA trend filter. It enters long when the MACD line crosses above its signal line below zero while price is above the EMA; the short condition is a bearish crossover above zero while price is…

KriptoaktīviNākotnes līgumiCenas impulssTehniskie indikatori
Strategy library

The document explains a trend-following method that builds a channel from recent highs and lows. A close above the upper boundary signals a long entry, while a close below the lower boundary signals a short entry. Its example uses a 21-day lookback and also…

Nākotnes līgumiSekošana tendenceiCenas izrāviensTehniskie indikatori