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MQL5 code base
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Bitget Academy
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Machine Learning for Trading
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arXiv papers
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Stratmill research code
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Systematic trading blog (Rob Carver)
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Qlib
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Quantpedia
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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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Zipline
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FMZ live strategies
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Jesse
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pyfolio
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backtesting.py
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Technical Analysis
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Meklēt bibliotēkā

Dokumentu skaits: 7,910

Strategy library

This five-minute long-only strategy enters when the 20-period EMA crosses above the 50-period EMA, the Heikin-Ashi close is above the 20-period EMA, and the Heikin-Ashi candle is bullish. It exits on a separate signal when the 50-period EMA crosses above the…

Tehniskie indikatoriSekošana tendenceiRiska pārvaldība
Strategy library

This trend-following method classifies each bar by where its close falls within its high-low range. It distinguishes closes near the high, near the low, and in the middle using thirds of that range. Over a configurable lookback, it computes the share of bars…

KriptoaktīviNākotnes līgumiSekošana tendenceiTehniskie indikatori
Strategy library

This short-term strategy combines 10-period and 20-period simple moving average crossovers with price-breakout and retest conditions. Long entries require a bullish crossover, a close above the recent high of the 20-period average, and recent lows holding…

Nākotnes līgumiTehniskie indikatoriCenas izrāviensRiska pārvaldība
Strategy library

This adaptive system uses ADX to choose between two approaches: RSI mean reversion when ADX is at or below 25, and price breakouts when it is above 25. A 200-period EMA filters direction. In ranging conditions, the rules buy oversold RSI readings in an…

KriptoaktīviNākotnes līgumiAtgriešanās pie vidējās vērtībasCenas izrāviens
Strategy library

This trend-following approach compares 9-, 21-, 50-, and 200-period exponential moving averages. It signals a long position when the averages are ordered from shortest to longest above one another, and a short position when the ordering is reversed. The…

Nākotnes līgumiSekošana tendenceiTehniskie indikatoriRiska pārvaldība
Strategy library

This document describes a terminal plugin for placing opposing futures orders across two selected contracts. Its parameters let the operator choose the contracts, set an order amount and price offset, and reverse which contract is bought and sold. The…

Nākotnes līgumiRīkojumu izpildeTirgus mikrostruktūraRiska pārvaldība
Strategy library

This document describes an automated trend-following system that uses 21-period and 50-period exponential moving averages. A bullish crossover opens a long position, while a bearish crossover opens a short position. The example sets a 40-tick stop loss and…

Nākotnes līgumiSekošana tendenceiTehniskie indikatoriRiska pārvaldība
Strategy library

This strategy uses Williams Fractals to identify swing highs and lows, then checks successive points for an ABCD pattern. It applies proportional conditions to the legs and classifies the setup as bullish or bearish based on the relative positions of the…

Nākotnes līgumiKriptoaktīviSekošana tendenceiCenas izrāviens
Strategy library

This document introduces a dual moving average strategy that uses crossovers between faster and slower averages to indicate direction. A fast average crossing above a slow average produces a long signal; a downward crossover produces a short signal. The…

Nākotnes līgumiKriptoaktīviSekošana tendenceiCenas izrāviens
Strategy library

This strategy combines a 123 reversal signal with a price-to-moving-average divergence signal, taking a trade only when both components point in the same direction. The reversal component looks for a two-day change in closing-price direction together with a…

Nākotnes līgumiKriptoaktīviAtgriešanās pie vidējās vērtībasSekošana tendencei
Strategy library

This spot-style grid method begins by dividing the initial investment between cash and an asset, with the code setting each allocation to half. It tracks the marked value of the asset position against a reference value. When that value falls below the…

Režģa tirdzniecībaTūlītējo darījumu tirgiKriptoaktīviRīkojumu izpilde
Strategy library

This document describes a trend following strategy that compares a standard Hull Moving Average (HMA) with a differently smoothed HMA variant. It generates a long signal when the smoothed line crosses above the standard line and a short signal when the…

Nākotnes līgumiKriptoaktīviSekošana tendenceiCenas impulss
Strategy library

This strategy combines a SuperTrend direction filter, a 200-period EMA option, and a smoothed Stochastic oscillator. Long signals require an uptrend and a low Stochastic reading, alongside price above the EMA when that filter is enabled. Short signals use a…

Tehniskie indikatoriSekošana tendenceiCenas impulssRiska pārvaldība
Strategy library

This trend-following strategy uses a SuperTrend line derived from Average True Range (ATR) to generate directional entries. The explanation presents upper and lower volatility bands around the midpoint of the high and low, scaled by an adjustable factor, and…

Nākotnes līgumiKriptoaktīviSekošana tendenceiCenas izrāviens
Strategy library

This short-term signal strategy compares two exponential moving averages and enters long or short when they cross. The document lists configurable lengths of 55 and 34 periods and describes the crossings as trend signals. The chart plots both averages and…

Nākotnes līgumiKriptoaktīviSekošana tendenceiTehniskie indikatori
Strategy library

The supplied portion describes configurable controls for a breakout and trend-following strategy, but does not include the entry, exit, or order execution logic. Its risk settings include a per-trade risk percentage, a stop distance based on average true…

Cenas izrāviensSekošana tendenceiRiska pārvaldībaPozīcijas apjoma noteikšana
Strategy library

This futures strategy estimates direction from the rate of change of a weighted moving average (WMA). A positive or negative rate beyond a threshold sets a long or short position; when the rate is within the sideways band, the prior non-sideways direction is…

Nākotnes līgumiSekošana tendenceiTehniskie indikatoriPortfeļa veidošana
Strategy library

This BTC futures strategy combines 5-, 10-, and 30-period exponential moving averages (EMAs) with four long-entry setups. The setups cover a reclaim of the 30-period EMA, recent EMA crossovers, a particular EMA ordering and price pattern, and a rising…

Nākotnes līgumiKriptoaktīviSekošana tendenceiTehniskie indikatori
Strategy library

This method builds upper and lower price bands around an exponential moving average using ATR multiples. The description presents breaks above the upper band and below the lower band as directional entries, with exits managed through ATR-based levels that…

Nākotnes līgumiKriptoaktīviSvārstīgumsSekošana tendencei
Strategy library

This trend-following method compares fast and slow exponential moving averages across daily, six-hour, and 15-minute price series. It takes a long stance when all three fast-minus-slow EMA differences are positive, and a short stance when all are negative.…

Nākotnes līgumiKriptoaktīviSekošana tendenceiTehniskie indikatori
Strategy library

This intraday approach uses long-bodied bullish or bearish Marubozu candles as directional entry signals. The description also proposes comparing body size with its average and checking whether upper and lower shadows are roughly balanced, with imbalanced…

Nākotnes līgumiKriptoaktīviTehniskie indikatoriCenas impulss
Strategy library

This strategy uses closing-price crossovers of a rolling volume-weighted average price (VWAP) to signal long and short trades. It pairs those entries with stop-loss and take-profit levels set at multiples of the average true range (ATR), so the distances…

Nākotnes līgumiKriptoaktīviSekošana tendenceiTehniskie indikatori
Strategy library

This strategy uses the Commodity Channel Index (CCI) to enter after it returns across an extreme threshold: a long signal occurs when CCI crosses above the oversold level, and a short signal when it crosses below the overbought level. An optional EMA filter…

Tehniskie indikatoriAtgriešanās pie vidējās vērtībasCenas impulssRiska pārvaldība
Strategy library

This BTC futures strategy combines a Stochastic oscillator, Supertrend direction, and a 200-period exponential moving average. Its written rules describe long entries when Stochastic falls below 80 while Supertrend is bullish and price is above the average;…

Nākotnes līgumiKriptoaktīviSekošana tendenceiTehniskie indikatori