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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
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OKX Learn
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Strategy library
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MQL5 code base
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BigQuant
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Bitget Academy
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MQL5 articles
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TradingView scripts
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ProRealCode
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Deribit Insights
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Machine Learning for Trading
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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
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Robot Wealth
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NautilusTrader
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Hummingbot docs
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Paradigm research
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Lumibot
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Kraken Learn
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Kvantitatīvās tirdzniecības kursu bibliotēka
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OctoBot
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Cryptohopper blog
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Systematic trading blog (Rob Carver)
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Qlib
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TqSdk
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Quantpedia
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Hyperliquid docs
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Freqtrade
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Hudson & Thames
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Awesome Systematic Trading
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backtrader
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vn.py
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Binance API docs
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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
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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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QuantRocket
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Lumibot strategies
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Awesome Quant
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Meklēt bibliotēkā

Dokumentu skaits: 7,910

Strategy library

This proposed strategy combines a stochastic reversal rule with a signal-to-noise measure to seek confirmation around possible turning points. Its description says the reversal component considers recent price movement alongside fast and slow stochastic…

KriptoaktīviNākotnes līgumiAtgriešanās pie vidējās vērtībasTehniskie indikatori
Strategy library

This strategy combines a stochastic-based reversal signal with a signal-to-noise measure and trades only when both components agree. The description uses fast and slow stochastic values and recent price changes to identify a reversal, with a threshold…

KriptoaktīviNākotnes līgumiAtgriešanās pie vidējās vērtībasTehniskie indikatori
Strategy library

This indicator adapts Ichimoku components into a separate oscillator-style display. It applies a T3 smoothing process to closing prices over the conversion, base, and second lagging-span periods, then uses displaced values to form a cloud midpoint and cloud…

KriptoaktīviNākotnes līgumiSekošana tendenceiTehniskie indikatori
Strategy library

This document describes an Ergotic CSI oscillator inspired by William Blau’s work on momentum, direction, and divergence. It combines an adaptive directional index with true range and price to calculate a CSI value, then smooths that value with a simple…

KriptoaktīviNākotnes līgumiCenas impulssTehniskie indikatori
Strategy library

The excerpt describes a box-based breakout strategy intended to identify price ranges from pivots and repeated touches. It filters boxes by height relative to ATR, the proportion of closes inside the box, touch spacing, and maximum duration. A breakout entry…

Cenas izrāviensTehniskie indikatoriSvārstīgumsRiska pārvaldība
Strategy library

The document presents a Dual Thrust opening-range breakout backtest for GBP/USD minute data. It aggregates intraday prices into daily open, close, high, and low values, then calculates a rolling range from recent highs, lows, and closes. At the stated market…

Valūtu tirgusCenas izrāviensVēsturisko datu pārbaudeRīkojumu izpilde
Strategy library

This document outlines a trend-following system that combines a fast and slow EMA relationship with RSI thresholds and divergence checks. Long signals require the fast EMA to be above the slow EMA, RSI to exceed the stated upper threshold, and no bearish…

KriptoaktīviNākotnes līgumiSekošana tendenceiCenas impulss
Strategy library

The document describes a Pine strategy that sizes purchases as a fixed daily cash amount divided by the closing price, then enters only when the close crosses above one of several EMAs. It sets a trade-count cap and plots the EMA ribbon. The published…

KriptoaktīviNākotnes līgumiTehniskie indikatoriPozīcijas apjoma noteikšana
Strategy library

This strategy measures the range between the highest high and lowest low over a lookback period, then compares that Donchian channel width with its simple moving average. When width exceeds its average, the example takes a short position; when width falls…

KriptoaktīviNākotnes līgumiSvārstīgumsTehniskie indikatori
Strategy library

This document describes a trailing-stop framework for long or short positions. A trade begins when its entry condition is met, with an initial stop set from the entry price. As price moves favorably by more than one percent relative to the most recently…

KriptoaktīviNākotnes līgumiRiska pārvaldībaRīkojumu izpilde
Strategy library

This strategy combines a gamma-weighted average price (GWAP) with a short-term momentum condition to generate Bitcoin futures entries. It weights recent closing prices more heavily through an exponential decay factor, then compares the current close with…

KriptoaktīviNākotnes līgumiCenas impulssTehniskie indikatori
Strategy library

This document describes a JavaScript library for managing commodity futures positions through a CTP exchange interface. Its functions aggregate positions by contract and direction, submit or close orders, cancel pending orders, and report account balance…

Nākotnes līgumiIzejvielasRīkojumu izpildeTirgus mikrostruktūra
Strategy library

This options example demonstrates how a strategy helper can submit a multi-leg call butterfly as a grouped order. For each expiry, it selects the available strike nearest the underlying price, then seeks lower and higher strikes at equal distances. If all…

OpcijasRīkojumu izpildeAtvasināto instrumentu cenu noteikšana
Strategy library

This QuantConnect example demonstrates using custom daily equity data for IBM and SPY, then applying an indicator extension to divide SPY's one-period simple moving average by IBM's. Since each moving average uses a period of one, the resulting series…

AkcijasTehniskie indikatoriRīkojumu izpildeASV tirgi
Strategy library

This example builds a futures trend strategy from a linearly weighted moving average and its rate of change. A rate above a positive threshold sets a long position, while a rate below the negative threshold sets a short position. In the neutral band, the…

Nākotnes līgumiSekošana tendenceiCenas impulssTehniskie indikatori
Strategy library

The strategy combines 9-period and 15-period exponential moving averages with full-body candle patterns to signal directional trades. It enters long when a bullish candle closes above both averages, and short when a bearish candle closes below both. A candle…

Nākotnes līgumiSekošana tendenceiCenas impulssTehniskie indikatori
Strategy library

This strategy calculates the True Strength Index by double-smoothing price changes and their absolute values with exponential averages. It then smooths the TSI into a signal line, entering long when TSI crosses above that line and closing the position when…

Nākotnes līgumiTehniskie indikatoriCenas impulssRiska pārvaldība
Strategy library

This trend-following method compares a fast and a slow moving average, entering long when the fast line crosses above the slow one and short when it crosses below. Users can select among nine smoothing methods, including simple, exponential, weighted,…

Sekošana tendenceiTehniskie indikatoriNākotnes līgumiRiska pārvaldība
Strategy library

This described strategy combines moving average direction, candlestick patterns, price levels, and volume expansion to signal trades. Its long condition requires the fast average above the slow average, a bullish engulfing pattern, a close above a fixed…

Nākotnes līgumiTehniskie indikatoriCenas izrāviensRiska pārvaldība
Strategy library

This strategy sets long entry and exit levels by shifting a selected price source by percentages. It uses the prior bar’s close as the reference in its overview: a lower shifted level acts as a limit buy, while an upper level acts as a limit exit. The source…

Nākotnes līgumiSekošana tendenceiTehniskie indikatoriVēsturisko datu pārbaude
Strategy library

This trend-following system combines price position relative to VWAP and a short EMA with direction from SuperTrend. It adds several confirmation filters: RSI, Bollinger Band midpoint, Parabolic SAR, MACD, ADX, and Stochastic RSI. Trades are considered only…

Sekošana tendenceiCenas impulssTehniskie indikatoriSvārstīgums
Strategy library

This strategy measures the percentage distance between price and a configurable moving average, usually an EMA. It seeks entries when price has moved sufficiently far from the average and closes positions as the gap narrows toward a chosen threshold. The…

Atgriešanās pie vidējās vērtībasTehniskie indikatoriRiska pārvaldībaPozīcijas apjoma noteikšana
Strategy library

This short-term strategy uses a fast and slow exponential moving average to form a MACD line, then compares it with a smoothed signal line. A bullish crossover opens a long position; a bearish crossover closes it. An optional rule also closes the long when…

Tehniskie indikatoriCenas impulssRiska pārvaldībaPozīcijas apjoma noteikšana
Strategy library

This long-short strategy combines moving-average signals, Bollinger Band breakouts, and a momentum measure to identify trades. The description presents fast and slow moving averages as trend indicators, with a move above the upper band supporting a long…

Sekošana tendenceiCenas impulssCenas izrāviensTehniskie indikatori