Zināšanu bibliotēka

This strategy uses the Stochastics Momentum Index (SMI), an oscillator measuring the close relative to the midpoint of a recent high-low range. It smooths the relative price displacement and range, then compares the SMI signal series with an EMA. A cross…

This strategy uses rolling price extremes to define upper and lower breakout levels. It enters long when price crosses above the upper level and short when it falls below the lower level, with options to enable either direction. A body mode can use candle…

This document presents a simple Binance spot grid approach. At timed intervals, when no orders are open, it places a buy below the best bid and a sell above the best ask, each offset by half the configured grid spacing. When either order fills, it cancels…

This long-position management method starts with a stop at 95% of entry price and defines progressively higher stop levels through 130% of entry. It checks whether the lowest low over the previous seven days is above the next threshold; when that condition…

This intraday method uses the 50-period EMA relative to VWAP to establish directional bias, then trades crossovers between an 8-period and 50-period EMA in that direction. A fast EMA cross above the slower one triggers a long entry when the slow EMA is above…

This short-term strategy combines EMA alignment, RSI, a custom smoothed trend-strength calculation, volume, and price confirmation. It takes long positions when EMA20 is above EMA50 and EMA200, RSI exceeds 55, the trend-strength reading exceeds 25, volume is…

This strategy combines nine technical conditions to generate long entry signals. Its checks cover a 50/200-day moving-average crossover, rising RSI below 40, a bullish MACD crossover, a low-level stochastic crossover, price near Fibonacci retracement levels…

This note describes a moving-average crossover approach for following trends. It calculates a fast EMA and a slow EMA, using a 12-period and 26-period pair as examples. A fast EMA crossing above the slow EMA signals a long entry, while a downward cross is…

This intraday Nifty futures strategy records Tuesday and Wednesday reference prices from the 9:15 candle, using India time. On Wednesday, it compares that candle’s close with the prior week’s Wednesday reference, falling back to the prior Tuesday reference…

This strategy uses candle direction and body size to enter long or short positions. It compares the latest candle’s body with half of an exponentially smoothed body-size measure over the recent 30 bars. A sufficiently large bullish candle can trigger a long,…

This algorithm uses the relationship between two exponential moving averages on SPY to generate directional signals for trading S&P 500 E-mini futures. After a warm-up period, it treats the fast average being above the slow average by a small tolerance as an…

This strategy uses an ATR-based trailing stop to define a changing threshold for trend direction. The stop follows the running high in an uptrend or the running low in a downtrend, offset by ATR multiplied by a configurable factor. A close crossing above the…

This long-only strategy combines price patterns, volume expansion, moving averages, and a weekly trend check to identify entries. Its conditions include large price moves relative to the open or prior close, volume rising above its recent range, and a…

The document presents a configurable strategy built around a VWAP-centered line and two bands. Its inputs allow the user to set the calculation window, forecast shift, volatility influence, band multipliers, and optional smoothing method and length. The…

This strategy uses stochastic K and D crossovers to enter long and short positions. After entry, it tracks confirmed swing lows for a long position and swing highs for a short position, moving the stop as new pivots appear. The published implementation also…

This workflow has multiple language models act as virtual traders, each maintaining a separate simulated account and producing standardized position actions. Their decisions use technical readings from daily, hourly, and five-minute intervals, including RSI,…

This strategy combines MACD direction, an EMA price filter, and RSI thresholds to generate trend and reversal signals. It opens a long when price is above the EMA and MACD is positive, or a short when price is below the EMA and MACD is negative. The…

This strategy seeks short-term rebounds by buying after a sharp decline. It measures the percentage change from the previous candle’s close and triggers a long entry when the decline exceeds 5%, sizing the purchase using the account balance and current…

This note describes a utility for setting price and quantity precision for Binance perpetual contracts. It queries Binance’s derivatives exchange information endpoint, searches the returned symbol records for each configured instrument, and reads the price…

The document describes a stock-oriented trend strategy that combines fast and slow moving averages, a price channel, and a Parabolic SAR direction filter. Its stated approach is to transform exponential averages into triple exponential moving averages, use…

This script generates long and short signals from fast and slow EMA crossovers, with volume or recent price direction as an additional condition. A trend filter accepts either ADX above a threshold or a sufficiently large gap between positive and negative…

This strategy combines RSI thresholds with channels built from linear regression and standard deviation. It calculates upper and lower bands across multiple lookback lengths, then selects a band for entry and another for exit. Long entries can follow RSI…

This strategy combines ATR bands, fast and slow RSI readings, and EMA crossovers to seek reversal entries. A short is proposed when the open is above the upper ATR band and the faster RSI is below the slower RSI; a long is proposed below the lower band when…

This document presents a reversal-oriented indicator combination using Stochastic RSI, RSI, stochastic and RSI crossovers, the CM Williams Vix Fix, and Money Flow Index. The oscillators are intended to identify overbought or oversold conditions, while the…