Zināšanu bibliotēka

This strategy description proposes following Tesla trends by comparing 20-period and 50-period exponential moving averages on daily and hourly charts. The prose calls for a long position when the shorter average is above the longer one on both timeframes,…

This long-only strategy combines Bollinger Bands with Stoch RSI. It enters when price crosses upward through the lower Bollinger Band at the same time that Stoch RSI’s K line crosses above its D line. It closes a position when price moves back down through…

This 30-minute Bitcoin strategy combines several technical signals: a Relative Momentum Index, ADX, RSI, support and resistance pivots, a price cloud, volume, and fast, medium, and slow exponential moving averages. Its settings also allow Heikin-Ashi…

This example uses recent price extremes as stop levels for open positions. It calculates the lowest low over a configurable lookback for a long position and the highest high over a separate lookback for a short position, excluding the current bar from each…

This long-only framework combines an oversold RSI reading, a long-term trend filter, and monthly seasonality. It enters when the 14-period RSI is below 30, price is above its 200-period EMA, and the calendar month is April, May, June, July, or November. The…

This example demonstrates constructing and submitting a naked call position through an options strategy helper. It selects an option contract from the available chain by sorting for proximity to the underlying price and then by expiration, before submitting…

This strategy uses a fast and a slow exponential moving average to identify directional changes. Its stated periods are 20 and 120 days. A bullish crossover of the fast average above the slow average signals a long position; a bearish crossover signals a…

This trend-following method builds an SSL channel from moving averages of the bar highs and lows. The user can choose a simple, exponential, or weighted average and set the channel length; the published default is 32. A state variable changes direction when…

This strategy uses a smoothed RSI transformed by an inverse Fisher function to seek reversal signals. The described setup calculates RSI, scales and smooths it, then evaluates the transformed indicator on a higher timeframe. It signals long when the…

This 30-minute strategy is presented as a short-only system for Bitcoin, using ATR-based trend logic and ADX to assess market direction and strength. It also uses an RSI-based VWAP signal to open additional short swings when other indicators do not signal…

This BTC futures strategy combines RSI with a stochastic oscillator applied to price, then uses smoothed K and D lines to describe its signals. It opens a long position when RSI is below 35 and the smoothed stochastic K value is below 20. It closes that…

This strategy combines a two-period RSI with a 200-period simple moving average and exponential moving averages to define long entries, short entries, and exits. A long signal uses oversold RSI while price is above the long-term average and a shorter EMA. A…

This directional momentum strategy combines several filters for long and short entries. It requires aligned short and medium EMAs, price on the corresponding side of a long EMA, MACD confirmation, an RSI threshold, directional movement and ADX conditions,…

This long-biased trend strategy combines a recent-bar price range condition with moving-average filters. It enters when price remains within a range defined by prior highs and lows while the fast EMA is above the 200-period EMA, and it can add to a position…

This short-only reversal strategy looks for a bearish engulfing pattern after an advance. It requires a preceding bullish candle whose real body meets a minimum size, followed by a bearish candle whose body fully covers the prior candle’s body. The strategy…

This strategy combines a 10-period exponential moving average with an impulse-correction-impulse pattern to enter trades after price crosses the average. For a long setup, the first candle must be a sufficiently large bullish candle, the second a bearish…

This strategy builds a central line from a linear regression of closing prices and sets upper and lower bands using an ATR-based distance multiplied by a configurable factor. It also describes a normalized band position, with crossings of its extreme levels…

This automated crypto futures system ranks liquid USDT perpetual contracts using a composite score built from four EMA relationships across multiple timeframes. It selects the strongest positive and negative signals, then combines those scores with recent…

This strategy computes separate relative strength indexes for price and trading volume, smooths each with a moving average, and uses the smoothed price RSI to set direction. A rising average signals a long position, while a falling average signals a short;…

The strategy trades ETH using price crosses of a 50-period simple moving average during a defined London session. A cross above the average triggers a long entry, while a cross below triggers a short entry. The accompanying discussion characterizes the…

This strategy calculates a rolling measure from the ratio of logarithms of prices separated by a fixed lookback, then tracks the measure’s rolling high, low, and moving average. A move above the upper bound opens a long position; a move below the lower bound…

This automated strategy uses SuperTrend to set direction, then filters entries with volume, candle-body size relative to ATR, and RSI. Long signals require an uptrend, sufficient volume and candle strength, and RSI below its overbought threshold; short…

The Genesis strategy uses two exponential moving averages to trade in the direction of a crossover. A faster 20-period EMA crossing above a slower 50-period EMA signals a long position; crossing below signals a short. The slower average provides a broad…

This strategy compares the high and low from a selected higher timeframe with their prior values. Rising highs and lows generate a long signal, while falling highs and lows generate a short signal. Inputs control the higher timeframe, a multiplier-derived…