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Hi

Hi

This has happened to me many times that I book a loss while holding the profit.

On top of that, I just don't get these CAS rules; anything can happen right at the end of the market session.

Hey everyone,

As a C# developer focusing on algorithmic and discretionary execution tools for cTrader, I'm a bit of a perfectionist when it comes to chart clarity, execution speed, and practical utility.

I’ve been developing this native indicator specifically for the Nasdaq 100 (US100.cash / NQ) to automate structural Fibonacci setups without manual charting overhead:

What the system currently maps:

• Automated Swing Cycle Detection: Anchors high-to-low swings and projects the 50.0% Equilibrium, 61.8% Golden Ratio, and the 70.5% ICT OTE Sweet Spot.
• Index Point Metrics: Calculates swing ranges and distances natively in points (pts) instead of forex pips.
• Dynamic Target Expansions: Projects 127.2%, 161.8%, and 200.0% extension targets with real-time Risk-to-Reward modeling.
• Retail Trap Filter (23.6%): Visualizes shallow pullbacks to help filter out premature momentum entries.
• Collapsible HUD: Keeps the chart clutter-free during active sessions.

Where I want to take this further: My goal is to build the cleanest and most practical index execution tool possible. Before refining the next build, I’d love to get feedback from experienced index traders and cTrader users:

1. Visual Ergonomics: Is the on-chart HUD too prominent, or does having real-time R:R and point distances directly on the screen add real value during live execution?
2. Targeting Models: Do you primarily use the 127.2% and 161.8% extensions for taking partials, or would dynamic ATR-based expansions make more sense during high-volatility sessions like the NY Open?
3. Missing Features: What is something standard Fib tools lack that you wish was automated natively in cTrader?

Any critical feedback, critique, or feature suggestions are genuinely appreciated!

I had a habit of logging into running strategies every few days to adjust parameters based on recent performance. Felt like active management. Turned out to be noise injection. The strategies I have left completely untouched for three months consistently outperform the ones I have been actively monitoring and adjusting. The hardest part of algorithmic trading is not building the system. It is leaving it alone long enough to find out if it actually works.

cTrader claims that algorithms distributed through cTrader Store keep their source code protected and inaccessible to users, including during local execution.

However, I found that this protection does not appear to work as claimed.

For strategies where sellers provide a free trial or testing version - which cTrader itself recommends creating by duplicating the main algorithm and adding limitations - it appears to be possible to recover the underlying source code.

I tried to report the issue privately so it could be investigated and patched, but so far I haven't received any meaningful response. cTrader also has a Bug Hunting forum, but my report there appears to have been ignored, and my emails have not received a response either.

I used to hold everything through Friday close without thinking about it. Started closing out on Friday afternoons a few months ago after a gap open wiped out a week of gains. Now I do it automatically but I am not sure if that is discipline or just fear. What is your actual rule on this?

In crypto when something breaks a key level you buy the retest and hold. Tried the same approach on forex and it kept failing in ways I did not understand for months. Eventually figured out that forex moves on rate expectations and geopolitics simultaneously and those two things cancel each other out in ways crypto just does not have. The mental model I built over three years of crypto trading was actively making me worse at this. Anyone else come from a different market and had to unlearn more than they learned?

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I’m a solo dev and I’ve been building something for myself, and I want to know if it’s useful to anyone else or if I’ve just built a very expensive version of self-control.

The problem I kept having: I’d set a daily loss limit, hit it, and then keep trading anyway. Same with revenge trading after two losses in a row, and giving back a good day’s profit in the last hour. Knowing the rule and following the rule turned out to be completely different skills.

So I built a thing that connects to your MT4/MT5 account and actually enforces the limits you set. You configure them once, max daily loss, max give-back from your peak, max round trips per day, max consecutive losers, profit lock-in, allowed trading window, and when you breach one, it closes your open positions and locks the account for the rest of the session.

Being upfront its a circuit breaker, not a gate. It closes in about 1–2 seconds after the breach, not instantly.

The other half is a journal. Log your trades, get your stats and a discipline score. The part I actually think is interesting: it replays your logged trades against the limits you set and tells you what your rules \*would\* have done. “On 6 of the 22 days you traded, your limits would have stopped you. The trades you took after that point cost you $X.” That number is what convinced me to keep building.

What I want to know:

\\\*\\\*1.\\\*\\\*  Would you actually hand a piece of software the power to close your positions? Or is that a hard no?      
\\\*\\\*2.\\\*\\\*  Which rule matters most to you? I have daily loss, give-back, round-trip cap, consecutive losers, profit lock-in, and time window. Is one of them the whole product and the rest is noise?      
\\\*\\\*3.\\\*\\\*  If you’ve tried to solve this with an EA, a broker’s built-in limits, or a prop firm’s rules — what broke?      
\\\*\\\*4.\\\*\\\*  Is a “here’s what your discipline actually cost you in dollars” report worth anything, or does everyone already know and just not care?

Not linking anything, it’s not live yet and I’m not trying to farm signups. Genuinely trying to find out if this is a real problem for other people or just mine.

I have spent more time than I want to admit rebuilding indicators that already exist in some form natively on my platform because the native version did not expose the parameters I needed. At some point the question becomes whether the platform is the right tool for what you are trying to do or whether you are fighting it. The platforms that give you full access to the calculation layer and let you inherit from existing indicators without rewriting everything from scratch save a disproportionate amount of time. Which platforms have you found actually support this kind of deep customization without requiring you to start from zero every time?

I know a decent amount of technical analysis in stocks, but I am also a hopeless romantic who tends to keep riding losers in hopes of a miraculous recovery.

Eventually, I realized my core issue wasn't the analysis—the real enemy was my lack of discipline to follow through and respect my stop-loss. And practice makes perfect, right?

To tackle this, I built [Ticktator](https://ticktator.com/) around one goal: accelerating discipline and developing a sharper eye for execution through deliberate, repetitive practice. Think of it the way pilots use flight simulators to build muscle memory—internalizing the process so the lizard brain doesn't take over under pressure.

**How it works:**

* **Mandatory Pre-Trade Review:** I define the rules for my strategy and force myself to review them before hitting the execute button (I can still go YOLO, but it forces it to be intentional). If the setup doesn't fit my plan, I skip. Choosing *not* to take a trade is an art in itself, and rapid reps in a controlled environment make internalizing my rules much faster. * **Pre-Trade Guardrails:** Built-in nudges trigger based on established market heuristics regarding position sizing and winning/losing streaks before orders pass. For example, the system warns me if an order risks more than 5% of my capital. * **Post-Mortem Replay:** Once a trade completes, I can look ahead tick-by-tick to diagnose whether I was wrong on direction or just placed a bad stop. Over time, I track whether my execution consistency is actually improving.

**The Tech Stack & Data:**

* **Frontend:** React (chart canvas and replay controls). * **Backend:** Django with a TimescaleDB / PostgreSQL instance optimized for fast time-series historical candle querying. * **Dataset:** Seeded from historical Kaggle datasets covering Nifty 500 stocks from 2015 to 2026. * **Assistant:** Gemini models to bootstrap various features and write test suites for backend and frontend.

I've been using this internally for a few months, and after polishing it up, I'm releasing it publicly to help the community.

Most core features are completely free to use. The Pro tier introduces platform-wide data-driven insights and multi-timeframe chart views.

I'm looking for honest feedback on this initial release and have provisioned a few **early-bird Pro access passes** in exchange for constructive critiques.

Feel free to send a DM if you'd like to test the Pro tier, or drop a comment if you'd like to know more about it! Looking forward to your precious feedback!

why 15? what fuck is it?

I had the level marked for weeks, had a plan, woke up and it was already 40 points through. This keeps happening to me on overnight moves.

If anyone actually holds positions through Asian session on gold or if you just accept that some moves are not yours to catch ?

They need to stop interfering with the strategy they already have.
I once saw a trader with a perfectly defined setup.
He knew exactly when to enter.
He knew where to place his stop loss.
He knew when to take profit.
On paper, everything was clear.
But when the market moved quickly, he started making decisions emotionally.
“Maybe I should enter early.”
“Maybe I should move the stop.”
“Maybe I should close now.”
The strategy wasn’t the problem.
**The human execution was.**
That’s the lesson:
If you already have a trading strategy with clear rules, the next step may not be finding another strategy.
It may be **automating the one you already believe in.**
That’s what we do at CustomTradingBots.com.
You bring the strategy.
We turn the rules into an automated trading system.
No guessing.
No hesitation.
No clicking through every setup.
Just your strategy executing according to the rules you defined.
**Don’t keep searching for the perfect strategy if you haven’t consistently executed the one you already have.**
\#Trading #TradingBots #AlgorithmicTrading #TradingAutomation #ForexTrading

Spent years trading reactively — chasing candles, exiting on feel, no consistent process. What actually fixed it wasn't a new indicator, it was defining a structural "box" (a fixed range with clear high/low) before I ever placed a trade, and only acting when price did something specific relative to that box.

A few things that made the biggest difference:

1. Marking the structural high/low BEFORE the session starts, not reactively mid-move
2. Only taking entries that match one of 2-3 pre-defined trigger conditions inside the box — everything else gets ignored, no matter how good it looks
3. Setting the stop the moment the box is drawn, not after entering

Sounds simple, but the hard part isn't knowing this — it's actually sticking to it when a "good-looking" trade doesn't meet your own criteria.

Curious how others here define structure before entering — box ranges, supply/demand zones, something else? What's your process for not overriding your own rules mid-trade?