Rajesh Kumar Nait / Profile
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3 years
experience
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32
products
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43
demo versions
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0
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1. Price action, Candlesticks
2. ICT concepts e.g. FVG or Order Block mitigated / unmitigated
3. Indicator based EA
4. Fibonacci based EA
Have coded various Risk and Money Management tools in MQL5
In my current role, I focus on trading $SOL daily as a day trader and offer cutting-edge programs for sale on my seller page. These programs include native Websocket Crypto exchanges connection utilities and load charts from all popular exchanges via websocket and API. They run seamlessly on VPS, requiring no external DLLs.
If you're interested in crypto charting or trading tools, feel free to reach out to me via DM. Check out my crypto products and exchange integrations on my MQL5 seller page. I offer 12-hour support per day in IST timezone, 7 days a week
For a limited time, all products are available at a 30% discount. Don't miss out!
For custom projects related to
1. Cryptocurrencies trading and charting
2. Exchnage APIs and Websocket
3. Trading panel for custom exchange
4. EA Connectors
5. Multisymbol Scanners
6. Price Action Indicators, Harmonic Pattern Indicators, ABCD Pattern Indicators etc
You can create a personal job and invite me to review here https://www.mql5.com/en/job
Pionex API EA Connector for MT5 – Seamless MT5 Integration Overview The Pionex API EA Connector for MT5 allows seamless integration between MetaTrader 5 (MT5) using the Pionex API. This powerful tool enables traders to execute and manage trades, retrieve balance information, and track order history—all directly from MT5. Key Features & Functions 🔹 Account & Balance Management Get_Balance(); – Retrieves the current account balance from Pionex 🔹 Order Execution & Management
Pionex Live MT5 Data and History -- Add the API address to Tools > Expert Advisor api.pionex.com ws.pionex.com Steps : Create Symbols Select CreateSymbols = true Restart MT5 Terminal (Most important) Select Symbols to marketwatch for which you want to load history and live data 1. Add utility to any chart and Select Mode = LiveUpdate to get trade data on chart 2. Add utility to any chart and Select Mode = History to fill history to desired date and time Use MaxDate to add any date you wish to
1. Learn to adapt as per situation
2. Never Be Determined
1. News and Fundamental analysis impact market but it also go against technical analysis or price action
2. Using an indicator can make you successful
3. Fibonacci calculations does not work
4. You do not need custom analysis assistant build on mt5 or other program before you do analysis
5. You can trade and be successful from smartphone or tablet or promotion of portability in trading.
1 year ago i was enjoying this song, my favorite
1. Running Trading & Charting Software
Most trading platforms (e.g., TradingView, NinjaTrader, MetaTrader, ThinkorSwim) rely more on CPU, but they also use GPUs for rendering charts and handling multiple monitors. GTX 970 can:
Smoothly run multiple charts and indicators.
Handle multiple monitors (good for multi-timeframe analysis).
Speed up heatmaps and visualizations of market data.
2. Accelerating Data Analysis & Backtesting
If I am using Python for market research, I can use NVIDIA’s CUDA for faster computations.
Backtesting libraries: I may Use Backtrader or Zipline with GPU acceleration for strategy testing.
Data analysis: Use cuDF (GPU-accelerated pandas) to handle large market datasets faster.
Machine learning: If you're training AI models for price prediction, NVIDIA’s TensorFlow with CUDA can offload computations to your GPU.
3. Running AI/ML Models for Market Prediction
Even though the GTX 970 is older, it supports TensorFlow/PyTorch (CUDA 11.x max) for basic ML models.
I can train simple neural networks for pattern recognition in stock price movements.
Use libraries like TA-Lib (technical analysis indicators) along with GPU-accelerated data processing.
4. GPU-Accelerated Quantitative Research
Monte Carlo simulations: Speed up simulations for option pricing or risk analysis.
Reinforcement Learning (RL): Experiment with Deep Q-Learning (DQN) for algo trading.
Order Book Analysis: Use GPU-accelerated tools for processing high-frequency trading (HFT) data.
5. Cryptocurrency & Alternative Markets
If I trade crypto, GPU acceleration helps in on-chain analysis, sentiment analysis, or even mining
Some platforms like Cryptohopper or 3Commas allow GPU-based automation for backtesting trading bots.
Limitations of GTX 970 for Trading
✅ Good for visualization, backtesting, and basic AI research.
❌ Not great for heavy deep learning or handling massive datasets.
❌ Limited VRAM (4GB) makes it unsuitable for high-end models.
1. Any indicator such as MA and Volumes
2. Any chart except Renko and Candlesticks
3. News and Fundamentals
These anomalies are usually distributed on ground only 10-20% area
I believe in financial market same way anomalies are distributed which makes it impossible to win each time. Traders see something working with damn high accuracy and when they invest they lose, they make mistakes then they regret due to these anomalies in market. But we can identify these by documenting your journal and once we keep ourself aware about it, No body can stop making us money.

