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안녕하세요, 저는 정보 기술 학사 학위를 가진 MQL 개발자 Rajesh입니다. 12년 이상의 프로그래밍 경험을 가지고 있으며, PHP 개발자에서 웹 개발을 전문으로 하는 전문가에서 전문 MQL5 프로그래머 및 암호화폐 트레이더로 전향했습니다.
현재 역할에서는 하루에 $SOL을 일일 트레이더로 거래하고 있으며, 내 판매자 페이지에서 판매되는 첨단 프로그램을 제공합니다. 이 프로그램에는 웹소켓 및 API를 통해 모든 인기있는 거래소에서 차트를 로드하는 네이티브 웹소켓 암호화폐 거래소 연결 유틸리티가 포함됩니다. VPS에서 매끄럽게 실행되며 외부 DLL이 필요하지 않습니다.
암호화폐 차트 분석이나 트레이딩 도구에 관심이 있다면 DM으로 언제든지 연락하십시오. MQL5 판매자 페이지에서 내 암호화폐 제품과 거래소 통합을 확인하십시오. IST 시간대에 하루 12시간의 지원을 제공합니다.
모든 제품이 제한된 시간 동안 30% 할인된 가격으로 구매 가능합니다. 놓치지 마세요!
현재 역할에서는 하루에 $SOL을 일일 트레이더로 거래하고 있으며, 내 판매자 페이지에서 판매되는 첨단 프로그램을 제공합니다. 이 프로그램에는 웹소켓 및 API를 통해 모든 인기있는 거래소에서 차트를 로드하는 네이티브 웹소켓 암호화폐 거래소 연결 유틸리티가 포함됩니다. VPS에서 매끄럽게 실행되며 외부 DLL이 필요하지 않습니다.
암호화폐 차트 분석이나 트레이딩 도구에 관심이 있다면 DM으로 언제든지 연락하십시오. MQL5 판매자 페이지에서 내 암호화폐 제품과 거래소 통합을 확인하십시오. IST 시간대에 하루 12시간의 지원을 제공합니다.
모든 제품이 제한된 시간 동안 30% 할인된 가격으로 구매 가능합니다. 놓치지 마세요!
Rajesh Kumar Nait
Rate my Win11 Theme
· 2
Adekunle Michael Olanrewaju
2025.06.03
dopee! 10/10
Rajesh Kumar Nait
2025.06.03
thanks
Rajesh Kumar Nait
I do not use any indicator to trad. But i have some belief in these two powerful indicators only : VWAP and TWAP
Conor Mcnamara
2025.05.28
I use a select few which are reliable, fast, and non repainting. Then I'll use only one qualitative indicator for statistical reasons. I don't like seeing a chart without indicators personally because I dislike visual chaos, I prefer to see organized chaos
Rajesh Kumar Nait
2025.05.29
That's great. Mus use what works in making $$$ and your analysis strong.
Rajesh Kumar Nait
I was about to buy Snapdragon Laptop but just nearly got saved when I knew MT5 does not have an ARM build. What would we do with battery life if we are not able to open MT5 natively ? :)
· 2
전체 댓글 표시 (5)
Rajesh Kumar Nait
2025.05.29
Qualcomm is a chip manufacturing company for smartphone and tablet. My smartphone has snapdragon 888 processor by qualcomm
Rajesh Kumar Nait
Do you believe in FVG? or its just another unsuccessful logic?
· 1
Conor Mcnamara
2025.05.27
People backtested it to find that it's not truly stable by itself since the pattern can be broken sometimes, but it is still a thing that's significant. My idea would just be to confirm it with other analysis. Usually it respects a level of resistance or support, but if there's no known resistance or support then I might not trust it
Rajesh Kumar Nait
2025.05.27
yes maybe it works in combination of Break of structure, Shift of structure and Inducement
Conor Mcnamara
2025.05.27
what I see is that any time there's demand, there are lots of retail traders wanting to chase it, next thing there's an FVG and many people are liquidated because of fear and trading before the FVG took place, so I think this is a key time when institutional traders apply the inducement strategy. so when I see demand, I'm waiting, because it is good to anticipate the formation of the fvg. PO3 concept is a real phenomenon that repeats.
Rajesh Kumar Nait
I am unable to post indicator for this for some reasons but here is interesting concept. ❓Why Is Candle Range Increasing While Volume Is Low?
This is counterintuitive, but there are solid market microstructure reasons why this happens:
🔍 1. Liquidity Vacuum / Stop-Hunt Trigger
When a market rapidly moves up on low volume, it often means:
Liquidity was thin on the sell side.
A few aggressive buyers cleared the sell wall, triggering:
Stop-losses from shorts (adding buy pressure).
Limit orders above recent lows (creating a vacuum effect).
Result: Price jumps quickly, but volume is still low because not many contracts needed to be traded to move price.
🧠 Think of it like this:
"Price moves the fastest when nobody is willing to sell anymore — not when everyone's buying."
🔍 2. Passive Sellers Withdrew Orders
Another reason: Market makers pulled liquidity because the prior candles looked weak, and they didn’t want to get caught in a reversal.
With fewer passive limit sell orders in the book, even small buy orders push price up more.
This shows up as big candles but low volume.
🔍 3. False Sense of Demand – It’s Not Strength (Yet)
Sometimes big candles on low volume are fake breakouts or traps:
It looks strong, but it’s mostly short covering or bot-driven.
If buyers don’t step in after that candle, it may reverse again — so you want to see confirmation with volume after the big move.
This is counterintuitive, but there are solid market microstructure reasons why this happens:
🔍 1. Liquidity Vacuum / Stop-Hunt Trigger
When a market rapidly moves up on low volume, it often means:
Liquidity was thin on the sell side.
A few aggressive buyers cleared the sell wall, triggering:
Stop-losses from shorts (adding buy pressure).
Limit orders above recent lows (creating a vacuum effect).
Result: Price jumps quickly, but volume is still low because not many contracts needed to be traded to move price.
🧠 Think of it like this:
"Price moves the fastest when nobody is willing to sell anymore — not when everyone's buying."
🔍 2. Passive Sellers Withdrew Orders
Another reason: Market makers pulled liquidity because the prior candles looked weak, and they didn’t want to get caught in a reversal.
With fewer passive limit sell orders in the book, even small buy orders push price up more.
This shows up as big candles but low volume.
🔍 3. False Sense of Demand – It’s Not Strength (Yet)
Sometimes big candles on low volume are fake breakouts or traps:
It looks strong, but it’s mostly short covering or bot-driven.
If buyers don’t step in after that candle, it may reverse again — so you want to see confirmation with volume after the big move.
· 1
Conor Mcnamara
2025.05.26
Most of the time I would say it's a fake breakout that you don't want to trade, big investors putting in big capital to shake the market
Rajesh Kumar Nait
Many of my publication are removed. Mods are deleting. No notification, no reason explanation.
Rajesh Kumar Nait
Coding your EA in MQL5 is dream come true. Its very tough but not impossible. Here is how you can do that. 1. Learn MQL5 2. Code your EA: In my case my EA is 100% Pure Price action which involves no indicator. its only based on OHLC info of candlestick, To code any EA you must have logic. if you have logic then you either need a programmer or code your EA yourself for success in financial market. 3. Coding an EA will show you truth about trading because programming dont lie. Programming is based on logic and its the heart of "mechanical system" in financial market. When you trade with any strategy you just found to be working for few days, You may win for few days but you lack data about how it performed on last 1 years of chart. AI suggest to trade any strategy on 1min chart, you need to test on atleast last 100 trades or minmum 6 months of chart. So do no trade and waste your money because you think something works or you have a holy grail. But only start trading when you have a backtest data which supports you which is only possible by coding EA, backtesting it and optimizing it. optimizing EA is very tough, You have to play with parameters to get the result which you feel confident to trade with $100k. IF you do not have logic or time to think about strategy, Rent H200 GPU and feed your neural network until it satisfy you with a million dollar profit making strategy as fast as possible.
Rajesh Kumar Nait
게재된 포스트 The World's Best Risk Strategy: Kelly Criterion
What is it? The Kelly Criterion is a mathematical formula that calculates the optimal amount to risk on each bet/trade to maximize long-term growth while avoiding ruin...
427
Rajesh Kumar Nait
게재된 포스트 Wavelet Transform and why people used it to denoise 1min chart and its comparison with Fourier Transform
📈 What is a Wavelet Transform in trading research? Wavelet Transform is a mathematical tool that breaks down a price series into different frequency components — but localized in time . Think of it like a microscope for charts: it helps you zoom into different time scales at different moments...
385
Rajesh Kumar Nait
게재된 포스트 Institutional Trader's Secret
Institutional trading strategies are typically closely guarded secrets, but some methods have been leaked, reverse-engineered, or shared by ex-traders over the years . Here are some confirmed or highly suspected institutional strategies that have been discussed publicly...
642
Rajesh Kumar Nait
게재된 포스트 Script for Pionex API EA Connector for MT5
///+------------------------------------------------------------------+ //| Library_Pionex.mq5 | //| Copyright 2024, Rajesh Kumar Nait | //| https://www.mql5...
360
Rajesh Kumar Nait
출시돈 제품
Pionex API EA 커넥터 for MT5 – 완벽한 MT5 연동 개요 Pionex API EA 커넥터 for MT5 는 MetaTrader 5 (MT5) 와 Pionex API 를 원활하게 통합하는 도구입니다. 이를 통해 트레이더는 MT5 에서 직접 거래를 실행하고, 계좌 잔액을 확인하며, 주문 내역을 조회할 수 있습니다. 주요 기능 🔹 계정 및 잔액 관리 Get_Balance(); – Pionex 의 현재 계정 잔액을 조회합니다. 🔹 주문 실행 및 관리 orderLimit(string symbol, string side, double size, double price); – 특정 가격으로 지정가 주문 실행. orderMarket(string symbol, string side, double size, double amount); – 특정 금액으로 시장가 주문 실행. Cancel_Order(string symbol, string orderId); – 특정 주문을 ID 로
Rajesh Kumar Nait
출시돈 제품
Pionex Live MT5 Data and History -- API 주소를 도구 > 전문가 어드바이저 에 추가 api.pionex.com ws.pionex.com 단계: 심볼 생성 CreateSymbols = true 설정 MT5 터미널을 다시 시작 ( 매우 중요! ) 마켓 워치에서 심볼 선택 후, 실시간 및 히스토리 데이터 불러오기 모드: LiveUpdate – 차트에 유틸리티 추가 후 실시간 거래 데이터 가져오기 History – 특정 날짜 및 시간까지 히스토리 데이터 채우기 설정: MaxDate – 업데이트할 날짜 선택 ALL – 선택한 날짜부터 히스토리 채우기 AutoUpdate = true – MT5를 다시 시작할 때마다 자동 업데이트 Pionex Live MT5 Data and History -- API 주소를 도구 > 전문가 어드바이저 에 추가 api.pionex.com ws.pionex.com 단계: 심볼 생성 CreateSymbols = true 설정
Rajesh Kumar Nait
To be a successful trader
1. Learn to adapt as per situation
2. Never Be Determined
1. Learn to adapt as per situation
2. Never Be Determined
Rajesh Kumar Nait
Myths for me which I completely disagree:
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. 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.
Rajesh Kumar Nait
게재된 포스트 Crypto Ticks and Depth Documentation
🔥 CRYPTO TICKS 🔥 🚀 Next-Gen Market Data Streaming 🚀 🌟 Supports Multiple Exchanges: 🔹 Binance (Spot & Futures) | Kucoin | Bybit (Futures & Inverse Futures) | XT : Xt.com Spot and Futures ⚡ Key Features: ✅ Robust Auto Re-connection – Never miss a tick...
· 1
416
Rajesh Kumar Nait
https://www.youtube.com/watch?v=ApxzwEg4qes
1 year ago i was enjoying this song, my favorite
1 year ago i was enjoying this song, my favorite
Rajesh Kumar Nait
How can I use my GTX 970 in trading research?
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. 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.