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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
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MQL5 articles
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TradingView scripts
Dokumentu skaits: 1,976
ProRealCode
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Deribit Insights
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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
Quantpedia
Dokumentu skaits: 86
TqSdk
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Hyperliquid docs
Dokumentu skaits: 79
Freqtrade
Dokumentu skaits: 68
Hudson & Thames
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Awesome Systematic Trading
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backtrader
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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
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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
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pyfolio
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Alphalens
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WonderTrader
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backtesting.py
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Technical Analysis
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QTPyLib
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Lumibot strategies
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QuantRocket
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Awesome Quant
Dokumentu skaits: 1

Meklēt bibliotēkā

Dokumentu skaits: 7,910

Strategy library

This script describes a 15-minute EURUSD scalping strategy that seeks one trade per day during a defined session. It uses a SuperTrend direction change to signal a possible reversal, with RSI thresholds to filter entries and a volume condition requiring…

Valūtu tirgusTehniskie indikatoriRiska pārvaldībaPozīcijas apjoma noteikšana
Strategy library

This strategy uses a Kalman-style price filter and a volatility-like stop line to switch between long and short trend states. The stop line trails the filtered price, with its distance reduced over time while the trend persists and reset when the trend…

Sekošana tendenceiTehniskie indikatoriPozīcijas apjoma noteikšanaRiska pārvaldība
Strategy library

This strategy combines EMA, MACD, OBV, and Parabolic SAR (PSAR) to identify directional setups. Long entries require a positive MACD histogram crossover, price above the EMA, an uptrend by PSAR, and a negative volume oscillator; short entries use the inverse…

Nākotnes līgumiSekošana tendenceiTehniskie indikatoriRiska pārvaldība
Strategy library

This long-only trend-continuation strategy uses three exponential moving averages to combine short- and medium-to-long-term context. It seeks an entry when price recovers above the shortest average after a pullback, provided the two longer averages are…

Nākotnes līgumiSekošana tendenceiTehniskie indikatoriSvārstīgums
Strategy library

This strategy uses a short and long simple moving average to identify bullish and bearish crossovers. Its stated example uses 13- and 30-period averages, while additional filters assess whether the trend has persisted and whether the averages' slope…

Nākotnes līgumiSekošana tendenceiCenas impulssTehniskie indikatori
Strategy library

This strategy seeks reversals using candle direction, trading volume, and overlap between consecutive candles. It treats a bullish candle with volume above its 20-period average as buying pressure and a bearish candle with above-average volume as selling…

Nākotnes līgumiAtgriešanās pie vidējās vērtībasTehniskie indikatoriRiska pārvaldība
Strategy library

The document describes a simple entry rule that uses candle volume modulo a chosen integer to select a long or short signal. With the example integer of 6, the resulting values are divided into two groups: one for longs and one for shorts. A position is…

Nākotnes līgumiKriptoaktīviStatistikaRiska pārvaldība
Strategy library

This strategy identifies session gaps by checking whether the opening price clears the previous bar’s high or low, with an additional condition that the gap remains open relative to the prior candle body. It sets a reference level from the prior candle’s…

AkcijasAtgriešanās pie vidējās vērtībasCenas izrāviensTehniskie indikatori
Strategy library

This strategy combines a short and long simple moving average with ATR bands to identify trend direction and manage exits. It signals a long when price crosses above the short average while it is above the long average, and a short on the inverse cross. The…

Nākotnes līgumiSekošana tendenceiCenas izrāviensTehniskie indikatori
Strategy library

This grid strategy divides a price range into evenly spaced levels and opens positions as price moves below grid levels, then closes the corresponding positions when price rises through the next level. Its boundaries may be manually set or recalculated from…

Nākotnes līgumiRežģa tirdzniecībaSekošana tendenceiRīkojumu izpilde
Strategy library

This strategy combines a 200-period exponential moving average (EMA), Aroon crossovers, and an Absolute Strength Histogram (ASH) to define long and short entries. A long setup requires price above the EMA, a bullish Aroon crossover, and bullish ASH; a short…

Nākotnes līgumiTehniskie indikatoriSekošana tendenceiRiska pārvaldība
Strategy library

This BTC futures strategy combines Wave Trend signals with the Awesome Oscillator (AO) to guide staged entries and exits across market cycles. It calculates Wave Trend from HLC3 and exponential averages to identify overbought and oversold conditions, while…

Nākotnes līgumiTehniskie indikatoriSekošana tendenceiPozīcijas apjoma noteikšana
Strategy library

This combined strategy uses price movement across short and longer exponential moving averages to frame trend and entry timing, then checks a bull-bear balance indicator for directional confirmation. Trades are opened only when both components agree; the…

Nākotnes līgumiSekošana tendenceiCenas izrāviensTehniskie indikatori
Strategy library

This strategy standardizes logarithmic returns using a rolling mean and standard deviation, calling the resulting z-score the Shiryaev-Zhou Index (SZI). It opens a long position when the score falls below a negative threshold and a short position when it…

Nākotnes līgumiAtgriešanās pie vidējās vērtībasStatistikaRiska pārvaldība
Strategy library

This strategy uses the QQE indicator to identify potential momentum entries and exits, with three signal types: a zero-line cross, a cross of the fast QQE line, and an exit from the RSI threshold channel. Users can select which signal opens or closes trades.…

Nākotnes līgumiCenas impulssTehniskie indikatoriSekošana tendencei
Strategy library

This script describes a rule-based approach that derives Fibonacci entry levels from the highest high and lowest low over a configurable swing lookback. It seeks a long entry when the close crosses below the calculated retracement level while price is above…

Tehniskie indikatoriCenas izrāviensRiska pārvaldībaRīkojumu izpilde
Strategy library

This strategy seeks breakouts aligned with two MACD histogram readings. It describes a multi-timeframe process: use 15-minute MACD direction for trend confirmation, identify a strong candle on a shorter chart, then watch for a break above or below that…

Nākotnes līgumiKriptoaktīviCenas impulssCenas izrāviens
Strategy library

The visible script excerpt describes a long-side setup built around market structure. It tracks recent highs and lows over a configurable sensitivity window, marks a downside sweep below the structure low, waits for price to recover above that level, and…

Tehniskie indikatoriCenas izrāviensPozīcijas apjoma noteikšanaRiska pārvaldība
Strategy library

This script turns RSI into a directional oscillator by first comparing the close with a simple moving average. It applies one RSI rescaling when price is above that average and another when price is at or below it, then compares the resulting value with a…

Tehniskie indikatoriSekošana tendenceiVēsturisko datu pārbaudeRiska pārvaldība
Strategy library

The description presents a medium- to long-term system combining triple exponential moving averages with MACD crossovers to identify trend changes. It claims that using two indicator families can filter some signals and discusses drawdowns, consecutive…

KriptoaktīviNākotnes līgumiSekošana tendenceiTehniskie indikatori
Strategy library

This trend-following method combines pivot highs and lows with an ATR-based trailing band. Recent pivots are blended into a center line, and volatility-scaled upper and lower bands define trend state changes. A separate SuperTrend calculation and moving…

Sekošana tendenceiTehniskie indikatoriSvārstīgumsNākotnes līgumi
Strategy library

This indicator compares Bitcoin market value with realized value using the MVRV ratio, then calculates a Z-score from the difference between market and realized capitalization relative to historical market-cap variation. A free-float option substitutes…

KriptoaktīviBlokķēdes datiStatistikaTehniskie indikatori
Strategy library

This intraday strategy uses RSI threshold crossovers to trade equity index futures during the regular U.S. session. It opens a long when RSI rises above the oversold level and a short when RSI falls below the overbought level, then closes positions at or…

Nākotnes līgumiTehniskie indikatoriAtgriešanās pie vidējās vērtībasRiska pārvaldība
Strategy library

This strategy combines Supertrend direction on a chart timeframe with readings from daily and weekly timeframes. It enters long or short when the local indicator reverses and both higher-timeframe directions agree, using their alignment as a trend filter.…

Nākotnes līgumiKriptoaktīviSekošana tendenceiTehniskie indikatori