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.
Dokumentu skaits: 7,910
This strategy combines Bollinger Bands with the Relative Strength Index (RSI) to generate long and short signals. It buys when the close crosses above the lower band while RSI is below its oversold threshold, and sells short when the close crosses below the…
This partial Pine Script describes a long-entry strategy that combines Bollinger Bands, three long-term simple moving averages, and RSI in a weighted oversold score. A close below the lower band contributes a point; trading below progressively longer…
This short-term strategy pairs WaveTrend with Chaikin Money Flow (CMF). WaveTrend measures price deviation from a smoothed channel and supplies overbought or oversold readings; CMF summarizes volume-adjusted buying and selling pressure. The stated rules…
This long-only strategy seeks short-term pullbacks during a broader uptrend, using a 200-day simple moving average as a long-term filter and a 10-day average to identify pullbacks. The described entry occurs when price is above the long-term average and…
This strategy uses a fast and a slow exponential moving average to identify directional changes, with Stochastic RSI as a supplementary momentum signal. The stated EMA defaults are 12 and 25 periods. A crossover establishes direction, while two consecutive…
This strategy combines RSI thresholds with Bollinger Bands to generate potential reversal entries for Litecoin. The described rules pair an RSI move back above an oversold threshold with a move through the lower band for a long signal, and an RSI move below…
This strategy combines up to five trend indicators—Heikin Ashi RSI, SSL Channel, Coral Trend, MACD DEMA, and WaveTrend—to identify possible reversals. A trader selects one or more indicators and enters long or short when all selected indicators agree on the…
This trend-following strategy compares a faster and a slower moving average. A bullish crossover is treated as a long signal and a bearish crossover as a short signal, with each direction independently enabled. Users can choose from seven average types, set…
This Bitcoin strategy maps price into ten risk bands between a 200-week moving-average floor and a logarithmically derived upper level. It uses the band location to scale monthly dollar-cost averaging: purchases increase as price moves into lower bands,…
This Pine Script strategy combines a moving average trend filter with measures of recent price compression to highlight possible VCP pivot setups. Its trend condition requires price and shorter averages to align above longer averages, with the long average…
This algorithm example demonstrates a two-stage method for narrowing a stock universe. Its coarse filter ranks available stocks by daily dollar volume and passes the five highest-volume names onward. A fine filter then ranks those candidates by…
This example shows how to derive directional movement indicators from high, low, and close records. It obtains positive and negative directional indicators with a technical analysis library, then computes DX as the absolute difference between the two…
This 15-minute MACD strategy restricts entries to London and New York trading hours. It uses the standard 12, 26, and 9 settings, entering short when the signal line crosses above MACD while MACD is above zero, and long when it crosses below while MACD is…
This strategy uses MACD crossovers to take trend-following positions. It compares a fast and a slow moving average, then smooths their difference into a signal line. A bullish crossover above zero triggers a long entry, while a bearish crossover below zero…
This strategy combines MACD direction with a slow simple moving average as a trend filter. Long entries follow an upward histogram zero crossover when MACD is positive and its fast average exceeds its slow average; the price condition uses a lagged close…
This short-term rule set uses a zero-lag exponential moving average as the input for MACD, then filters crossovers with a 100-period EMA and RSI. Long entries require price above the EMA, an upward MACD crossover, and RSI above its midpoint; short entries…
This strategy forms a volume-adjusted price by dividing the exponential average of closing price multiplied by volume by the exponential average of volume. It compares that measure with the previous close to choose a long or short direction, with an optional…
This strategy combines two Hull moving averages with Ichimoku components and Donchian range calculations to identify directional trades. Long entries require the faster Hull measure to exceed the slower one, price to clear the slower measure and…
This strategy uses the Average True Range to set price bands around the midpoint of each bar, then tracks a trend state. A change from a downtrend to an uptrend generates a long signal; a change from an uptrend to a downtrend generates a short signal. The…
This trend following system uses a short and a long exponential moving average to determine entries and exits. A bullish crossover opens a long position when none is open, while a bearish crossover closes that position. The described setup uses a 10-minute…
This strategy uses a recursive bandpass filter to isolate price movement within a selected cycle range. A center-period setting and bandwidth-related parameter shape the filter, which is calculated from the midpoint price and prior filter values. The trading…
This strategy combines percentile calculations over several lookback lengths with a longer reference range to estimate bullish and bearish conditions. It calculates upper-price percentiles and lower-price percentiles, counts how often these values sit beyond…
This introductory order flow factor uses a rolling set of recent trades to estimate whether buying or selling pressure is stronger. It compares buy and sell quantities across the full set and a later portion of the sequence, then applies a hyperbolic tangent…
The document describes a Bitcoin intraday system that combines RSI, Money Flow Index, Stoch RSI, and MACD conditions. Its stated rules use oversold readings and indicator crossovers for long entries, and corresponding high readings and opposite momentum…