AmiBroker AFL Developer (Pattern Engine framework + Backtesting System) , Multi-leg pattern system (2, 3, 4 legs),multi time frame Analysis

@sdqtrades

As a versatile developer with extensive experience in algorithmic trading, backtesting, and working with AmiBroker AFL, I am confident that I can effectively address even the most complex demands of your project. My notable skills include building advanced trading engines incorporating sequential and multi-leg patterns with a focus on maintaining realism and accuracy in backtests. Over the years, I have developed various sophisticated trading solutions, including indicators, bots, and automation workflows for different platforms like MetaTrader, TradingView, Thinkorswim and ninjatrader. These projects have called for my capability to handle high-complexity tasks while ensuring no repainting or look-ahead bias to guarantee accurate backtest performance. Crucially, your project's futuristic outlook aligns precisely with my development ethos—modular and scalable structures with clean and optimized codes. This approach offers room for expansion into multi-variable combinations as required. In addition to delivering top-notch code quality, I'm committed to prompt communication and upholding the confidentiality of your ideas through NDA compliance. With me on board, you're guaranteed a dynamic, agile solution that aligns closely with real market behavior.

@ducthodg

Hi, I can handle this. This is clearly not a simple AFL indicator; it needs a proper sequential pattern engine with candle-by-candle state tracking, clean leg detection, no repainting, and realistic backtest execution. For the test task, I can build the 2-leg AFL system first: Leg 1 directional move, Leg 2 reversal move, Top/Bottom lookback logic, Half/Full reversal classification, Entry/SL plotting, and clear chart marking. Answers: 1. Repainting is prevented by confirming patterns only after candles close and never changing past signals once confirmed. 2. Look-ahead bias is avoided by using only current and previous bar data, no future references, and bar-by-bar execution logic. 3. Slippage/spread can be simulated by adjusting entry/exit prices, adding commission, and testing execution timing realistically. 4. Yes, this kind of work should be structured as a state-machine pattern engine, not hardcoded indicator conditions. I will keep the AFL modular and parameter-based so it can later expand into 3-leg, 4-leg, multi-variable confirmation, and proper backtesting modes.

@MQamar123

With a solid background of over 7 years in software development, I have acquired a versatile set of skills applicable to nearly any aspect of programming. My adeptness in C Programming and C++ Programming makes me an expert at writing clean and optimized code for your complex project. I understand that robust backtesting systems are imperative for trading engines and I assure you of exactly that. Plus, my proficiency in handling dynamic entry, stop loss, and target logic is a testament to my handling of even the most intricate trading logic. A mainstay in my career journey has been "meeting the client's expectations" and I see no truer manifestaion of this than your project. I am eminently familiar with multi-variable combinations as well as accurate entry/exit simulations—a skill set tailor-made for your project requirements. What sets me apart even further is my ability to handle high-complexity projects like yours efficiently without compromising on quality or accuracy. Uniquely different from other candidates, my experience extends beyond basic AFL knowledge. My wide portfolio includes multi-leg chart patterns (single & double Top/Bottom) and sequential systems, thereby substantiating my competence for your project. Ultimately, my goal is to build a scalable trading engine with a high degree of accuracy that mirrors real market behavior—precisely what you need! So hire me with the confidence that you are getting the best option available.

@Sahyadri96

Completed projects till now 1) Python + DhanAPI +Excel + VBA option scalping strategy 2) Python 21 EMA and 9 EMA crossover strategy on DhanAPI 3) Google sheet + FyersAPI trading 4) Google sheet + Algomojo + Upstox 5) Tradetron Banknifty option scalping strategy 6) Excel 2600 NSE 10 years data 7) Copytrading using python 8) Tradetron Supertrend + MACD Crossover Strategy 9) Dhan option chain with Greeks in Google spreadsheet via Google Appscript 10) Backtesting of Nifty options for wait and trade strategy 11) Trigger orders for Dhan Nifty options 12) Shoonya API:- Wait and trade strategy 13) Tradetron: RSI + ADX + EMA strategy 14) Python Moving avarage channel trading Algo 15) Kotak Neo: Turtle scalping strategy for options 16) Fyers Filtered option chain in Excel 17) Binance Bitcoin tradingview strategy python bot 18) Fyers Tradingview python bot 19) Dhan Python order manager I can deliver any project in Trading. Readymade setups for Python available

@sudhanshut56

Hi, I can implement your 2-leg pattern system in AFL with strict non-repainting, sequential logic and realistic backtesting aligned to live market behavior. I understand this is not a simple indicator but a pattern engine with state-based execution. The key here is building candle-by-candle logic using arrays without referencing future bars, and structuring legs as confirmed sequences before triggering entries. I’ll code: Leg detection using sequential bar counting (same color constraint) Lookback validation (top/bottom via HHV/LLV over 20 bars) Half vs full reversal classification based on close vs Leg 1 start Entry/SL plotting at confirmation (no repaint) Clean modular structure for future expansion Answers: Repainting is prevented by only using confirmed past bars (no future references like Ref(..., -n) incorrectly used). Look-ahead bias is avoided by evaluating signals only after bar close using BarIndex logic and static arrays. Slippage is simulated using SetOption("CommissionMode") and adding price offsets in Buy/SellPrice. Yes, I’ve built sequential systems and reversal-based logic including multi-leg structures. 3+ years focused AFL work. I can share the AFL code + chart output right after confirmation. Ready to proceed with the test task.

@autotradinglab

Hello, I can build this as a real AFL pattern engine, not a basic indicator. I’ll code the 2-leg test with strict candle-by-candle logic: same-color legs, 20-bar top/bottom filter, half/full reversal detection, entry/SL marking, and clear chart plotting. For the full system, I’ll keep everything modular and input-based so 2/3/4-leg patterns, dynamic timeframes, MTF confirmation, spread, slippage, and execution timing can be expanded cleanly. I avoid repainting by using only closed candles and no future-looking functions. I avoid look-ahead bias by confirming the setup first, then triggering entry only after the valid bar closes. Slippage/spread will be handled through AmiBroker backtest settings and adjusted prices. I’ve built advanced sequential trading logic before, including reversal/top-bottom style systems, and I’m comfortable with complex AFL backtesting.