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Machine Learning for Trading
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Stratmill research code
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OctoBot
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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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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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Awesome Quant
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Meklēt bibliotēkā

Dokumentu skaits: 7,910

Strategy library

This stock trend strategy pairs an ATR-based price channel with daily and weekly volume-weighted average prices. A move above the channel is treated as bullish, while a move below it is treated as bearish. The description says a long signal requires both…

AkcijasSekošana tendenceiCenas izrāviensSvārstīgums
Strategy library

This intermediate-term strategy combines a fast and slow EMA crossover with RSI and CCI thresholds. A crossover of the 4-period EMA above the 8-period EMA can trigger a long when RSI is at least 65 and CCI is nonnegative. A downward crossover can trigger a…

Tehniskie indikatoriCenas impulssRiska pārvaldībaVēsturisko datu pārbaude
Strategy library

This document presents a price-action strategy that looks for bullish and bearish engulfing candle bodies on a four-hour chart. A bullish pattern triggers a long entry and a bearish pattern a short entry. The profit target is based on the engulfing candle’s…

Tehniskie indikatoriCenas impulssRiska pārvaldībaPozīcijas apjoma noteikšana
Strategy library

This document describes a long-term reversal approach using the MACD histogram. It specifies a 6-day EMA as the fast line, a 26-day EMA as the slow line, and a 9-day simple moving average of MACD as the signal line. The strategy interprets the histogram’s…

Tehniskie indikatoriCenas impulssSekošana tendenceiRiska pārvaldība
Strategy library

This strategy seeks directional intraday trades when price, VWAP, and 10-, 20-, and 200-period EMAs align. Long signals require price above these indicators, a bullish candle, VWAP above the 200-period EMA, and the shorter EMAs ordered above VWAP. Short…

Cenas izrāviensTehniskie indikatoriSvārstīgumsRiska pārvaldība
Strategy library

This trend strategy uses MACD crossovers to time entries, with price relative to the 50- and 200-period EMAs as a directional filter. Long entries require an upward crossover while MACD and its signal line are negative; short entries require a downward…

Sekošana tendenceiTehniskie indikatoriSvārstīgumsPozīcijas apjoma noteikšana
Strategy library

This short-term strategy uses a 14-period RSI for overbought and oversold signals, with 9-, 21-, and 50-period EMAs to confirm trend direction. It also checks current volume against a 10-period average and evaluates candle body and wick proportions as a…

Tehniskie indikatoriCenas impulssRiska pārvaldībaRīkojumu izpilde
Strategy library

The document introduces a silver-only strategy intended for 30-minute charts. Its stated design combines multiple confirmations for entries, average true range-based stops, and trading-session filters. The visible inputs set a minimum number of…

IzejvielasTehniskie indikatoriRiska pārvaldībaPozīcijas apjoma noteikšana
Strategy library

This document outlines a medium- to long-term trend-following strategy built around SSL channel breakouts and a moving-average baseline. A move above the upper channel is treated as bullish, while a move below the lower channel is bearish. The baseline,…

Sekošana tendenceiCenas izrāviensTehniskie indikatoriRiska pārvaldība
Strategy library

The document describes a trend-following method that combines an SSL channel with a selectable moving-average baseline. A move above the channel’s upper band is treated as a bullish signal, while a move below the lower band is bearish. The baseline is…

Sekošana tendenceiCenas izrāviensTehniskie indikatoriRiska pārvaldība
Strategy library

This strategy keeps an asset at a chosen share of portfolio equity. It opens a position using the target percentage and initial capital, then compares the position’s current value with account equity. If the share falls below target, it buys; if it rises…

Portfeļa veidošanaPozīcijas apjoma noteikšanaRiska pārvaldībaVēsturisko datu pārbaude
Strategy library

This strategy combines a 123 reversal signal with the Finite Volume Elements (FVE) volume indicator. It enters long when the reversal component signals a rise and FVE strengthens, and short when both indicate a fall. The 123 component uses consecutive…

Tehniskie indikatoriAtgriešanās pie vidējās vērtībasNākotnes līgumiKriptoaktīvi
Strategy library

This daily crypto futures strategy combines RSI, MACD, and the Stochastic Oscillator with a price Z-score filter. RSI and Stochastic extreme readings, and MACD line versus signal-line position, each contribute a possible directional condition. The code joins…

KriptoaktīviNākotnes līgumiTehniskie indikatoriCenas impulss
Strategy library

The document presents a technical trading approach built around Bollinger Bands, which scale their distance from a moving-average basis with recent price dispersion. Its discussion pairs band positions with fast and slow moving-average crossovers: lower-band…

KriptoaktīviNākotnes līgumiTehniskie indikatoriCenas izrāviens
Strategy library

This proposed crypto futures system runs a two-sided grid intended to capture price swings, while adjusting order size in response to recent return volatility. It combines a Hurst-based trend estimate and CUSUM monitoring to brake grid activity, and…

KriptoaktīviNākotnes līgumiRežģa tirdzniecībaSvārstīgums
Strategy library

The document outlines an automated process for turning a natural-language crypto factor idea into a calculated signal and evaluation report. A language model identifies the factor’s direction and data needs, generates a JavaScript function, and the workflow…

KriptoaktīviFaktoru ieguldīšanaMašīnmācīšanāsStatistika
Strategy library

This document shows part of a charting-platform script titled “2nd Grade Strategy.” The visible portion calculates and displays a stochastic oscillator, RSI, and MACD, with user-selectable moving average types for smoothing. The stochastic section marks…

Tehniskie indikatoriCenas impulssVēsturisko datu pārbaude
Strategy library

This hourly long-only strategy uses the Average Directional Index (ADX) to filter short-term simple moving average crossovers. It calculates ADX over 14 periods and compares a 3-period average with a 6-period average. A long entry is signaled when ADX is…

Sekošana tendenceiTehniskie indikatoriRiska pārvaldība
Strategy library

This strategy combines a fast and slow simple moving average with a volume condition. A bullish crossover opens a long only when daily volume is below a configurable fraction of the weekly volume average; a bearish crossover opens a short without a volume…

KriptoaktīviNākotnes līgumiCenas impulssTehniskie indikatori
Strategy library

This strategy collects four trend indicators—TDI, TCF, TTF, and TII—and lets the user select one to generate long entries and exits. TDI compares smoothed price momentum measures; TCF contrasts accumulated positive and negative price changes; TTF compares…

AkcijasNākotnes līgumiSekošana tendenceiCenas impulss
Strategy library

This strategy uses a Hull moving average (HMA), an exponential variant (EHMA), or a triangular variant (THMA) to generate directional entries. It compares the selected curve with its value two bars earlier: a higher reading triggers a long entry, while a…

KriptoaktīviNākotnes līgumiSekošana tendenceiTehniskie indikatori
Strategy library

This Quantiacs template shows how to combine long and short entry signals with exits that depend on the open position and stored state. Example entries include a moving-average crossover, an unusually large positive candle, and an elevated long-window RSI;…

AkcijasSekošana tendenceiTehniskie indikatoriRiska pārvaldība
Strategy library

This system combines a 400-period exponential moving average (EMA) as a long-term trend reference with the Percentage Price Oscillator (PPO) as a momentum signal. Basic entries follow price crossing the long EMA. Additional entries require price to be on the…

Nākotnes līgumiKriptoaktīviSekošana tendenceiCenas impulss
Strategy library

This approach measures the percentage difference between price and its double exponential moving average, then smooths that deviation with another DEMA calculation. The resulting series is treated as a directional signal: crossing above a configurable…

Nākotnes līgumiKriptoaktīviTehniskie indikatoriSekošana tendencei