Apps Like Eshara for iPhone and iPad
Ranked alternatives
Showing 121–140 of 1,000 ranked alternatives.



LiteFinance
Liteforex Europe Limited
Trade stocks and communicate with traders
Trade financial instruments including currencies, metals, stocks, oil, and stock indices. View real-time price charts with multiple timeframes and technical indicators. Execute trades, manage positions, and monitor market news.




Stock Market AI by Springbox
Springbox Ai. LTD
Trade with AI-powered signals and strategies
Analyze trends with real-time AI-generated signals. Track stocks, cryptocurrencies, options, forex, commodities, and ETFs. Set custom alerts. View portfolio performance and historical data. Adjust trading strategies based on predictive insights.






StockRank Value Stocks Trading
Stockring, Inc.
Predict stock moves and trade smart
Analyze stock market data to predict price movements and suggest buy, sell, or hold actions. Provide investment insights based on machine learning trends. Track portfolio performance and receive real-time market updates.

Market Trends - Forex Signals
Finansoft s.r.o.
Track , scan pairs, analyze data
Identify strong using EMA, RSI, and Stochastic indicators. View signal strength on main graph and switch to candlestick charts for verification. Analyze pivot points for additional insights. Trade pairs and commodities with real-time data.




Stock Trading AI : SharePreds
Loheden AI Solutions AB
Predict prices and trade shares
Track prices and view historical data. Receive short-term price change predictions using machine learning. Simulate trades and analyze market trends. Set alerts for price changes and monitor portfolio performance.


VertexFX Trader
HYBRID SOLUTIONS MIDDLE EAST FZE
Trade Forex, stocks, and commodities on
Trade Forex, stocks, bullion, and commodities using real-time price data and currency quotes. Analyze markets with advanced charts and perform trades instantly. View trading history and manage account details directly from the .
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.