AlgoTrading
Unverified Other strategy on Multi by njmathews. BotFinder score 18 out of 100.
This project is an algorithmic trading system that uses technical analysis tools to make trading decisions. It is built in C# and integrates with the NinjaTrader platform for execu
Source: github
BotFinder analysis pending.
AlgoTrading
Algorithmic Trading Strategy for E-mini S&P 500 Using NinjaTrader ================================================================= Overview -------- This repository contains the source code for an algorithmic trading strategy developed for the E-mini S&P 500 using NinjaTrader. The strategy leverages a combination of trend-following and reversal indicators to identify profitable trading opportunities while implementing robust risk management techniques. Strategy Components ------------------- Indicators Used 1. Exponential Moving Averages (EMA) Short EMA (9-period): Captures short-term market trends. Long EMA (21-period): Indicates long-term market direction. A bullish trend is identified when the short EMA crosses above the long EMA. 2. MACD (Moving Average Convergence Divergence) Measures the momentum of price movements. Positive histogram suggests bullish momentum, negative histogram signals bearish conditions. 3. RSI (Relative Strength Index) Provides insights into overbought and oversold conditions. RSI above 50 supports a bullish trend; below 50 hints at bearishness. 4. SuperTr
⚠ No verified equity curve — no track-record source connected.
Drawdown profile
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Verification ledger
How the score has moved
Recalculated at each data collection. Transparency means showing the bad weeks too.
No score history is stored yet — only the current score is shown.
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Alerts on changes: coming soon
Prop-firm compatibility not provided.
Open-source maintainer on GitHub.
Data-completeness & trust index (not a profitability rating)