EMA
Emera Incorporated
stock NYSE

I built TradingSpy: A completely local, privacy-first AI trading research assistant & backtester (Fully Open Source).
Disclaimer: just an individual side project, using all free tier api/library for personal use purpose. Share for more awareness about loop engineering power trading agents and knowing about the trading technologies
Like many of you here, my weekends usually involve digging through charts, checking insider buying patterns, scraping news catalysts, and trying to write/test Backtrader strategies.
A few months ago, I realized I was spending more time wiring together five different data APIs, Jupyter notebooks, and custom scripts than actually researching strategies. Worse, most commercial platforms out there charge a fortune, lock you into their ecosystem, or harvest your strategies and data.
Since I couldn't find a privacy-first, all-in-one local environment that did what I wanted, I decided to build it myself.
I call it TradingSpy, and I just open-sourced it.
What is it?
TradingSpy is a local-first AI trading research workstation running entirely in Docker. It combines traditional data visualization (heatmaps, charts, indicators) with loop-engineered AI agents that act as your research companion.
It is not a broker and does not place trades. It is purely a sandbox for strategy generation, market analysis, and backtesting.
Why use it?
\* Zero Data Privacy Concerns: Everything runs locally on your machine via Docker. Your strategy ideas and data remain yours.
\* AI Strategy Generation (The Fun Part): You can describe a strategy in plain English, and the system generates a working Backtrader strategy, validates the syntax, and automatically runs parameter sweeps against historical data.
\* Loop Engineering Agents: You can give it a goal (e.g., "Improve EMA\_Trend for TQQQ until it beats the baseline"). The agent will autonomously iterate, test, tweak the code, and discard failed attempts without you having to babysit it.
\* Aggregated Market Intelligence: Pulls real-time quotes, sector heatmaps, insider transactions, fundamentals, and academic papers (via arXiv) into a single interface.
\* Supports Free/Local LLMs: Works out of the box with free-tier providers (Google AI Studio, OpenRouter) or completely offline local models via Ollama (qwen2.5-coder, etc.).
Why am I sharing this?
Right now, I am a solo developer building this on zero budget because it’s a tool I genuinely needed. I’m opening it up to the community because I want to make quantitative research accessible to everyone without the data privacy paranoia.
I would love to get your feedback, feature requests, or bug reports!
GitHub: https://github.com/mrhustlex/TradingSpy-TradingAgentService/
(Note: It’s experimental software meant for educational research, not financial advice!)

The good news buried in here is that your strategy works. Paper took 26 and made 4.8R, you took 15 and made -1.1R. The edge is real, you're just filtering it out.
Go score the 11 you skipped. If they come out net positive you'll have an actual number proving your gut filter is a negative edge, and that's a lot harder to argue with at 9:30 than a feeling is. Most people never run that check and keep assuming the discretion helps.
Your setup is mechanical enough to just be an alert. Above VWAP and the 20, first pullback, close back above the EMA. Set it as an alert so the decision is made before you're staring at the candle, because in the moment messy always looks like a reason to wait.
And don't go looking for a new strategy off this. That's the real trap here. This one is fine.

Honestly, the three main EMA 50, 100 and 200 on a daily timeframe should be a must as its heavy watched from institutional investors and giving you the higher time frame of the path of least resistance (direction) as well.

I went through my journal last night because I was convinced the paper version of my setup was getting lucky. It turns out I was not even trading the same strategy.
The setup is on NVDA using 1-hour candles. Price has to be above VWAP and the 20 EMA. I wait for the first pullback, then enter when the next candle closes back above the EMA. The stop goes below the pullback low, the target is 1.5R, and I risk 0.5% per trade. Nothing complicated.
Over the last three weeks, the paper version took 26 trades and finished around +4.8R. I only took 15 of them manually and ended up at -1.1R. At first, I thought this proved that some of the paper-trading fills were unrealistic, but when I compared the logs trade by trade, most of the difference came from me.
I skipped 11 valid setups because the chart looked messy, the signal candle was too large, the volume did not feel right, or I simply did not like how the market was moving. The funny part is that I avoided six losing trades, so in the moment it felt like my discretion was helping. But I also skipped three of the biggest winners, including one that looked terrible at entry and ended up running almost 4R before the exit.
On two other trades, I waited for “extra confirmation” and entered one candle later. Both entries were technically outside the rules, both had worse risk-reward, and both lost. I still recorded them in my journal as the same setup because visually they looked close enough.
So now I am not sure what to call this. The paper strategy follows every signal and accepts the ugly setups. I keep trying to improve it in real time by filtering out trades that do not look clean, but apparently that changes the entire distribution. I may be cutting some losers, but I am also removing the trades that are supposed to pay for them.
For traders who mix systematic rules with discretion, how do you prove that the discretionary part is actually adding value? Do you track every skipped signal over a large sample, or is the fact that I am not following the exact rules already enough to say that I am trading a different strategy?

**Background**:
* 10 months consistent learning process with honest feedback.
* I trade **Forex** (mainly majors, focused on EUR/USD so far).
* I follow a **price action strategy** heavily inspired by Bob Volman’s book *Understanding Price Action* (5-minute timeframe).

**My Strengths**:
* Very good emitional control.
* Very strict rule adherence and good risk management (1% risk).
* Detailed journaling.
* Clear playbook based on proven price action concepts (consolidation, buildup, round numbers, 25 EMA).
I’m having some doubts and would really appreciate your honest perspective.
As a normal retail trader with no special background, I’m starting to question whether it’s realistically possible for someone like me to build a sustainable edge in forex using only price action on the 5-minute timeframe.
I believe I have a strong mental game. I consistently journal and review my trades, stick to one strategy, maintain clear setup rules, and follow them with good discipline. I only enter when my full setup aligns. At this point, I feel I mainly need a proven edge. Is this kind of approach viable long-term for an ordinary person who is disciplined and patient? What has your experience shown regarding pure price action profitability on lower timeframes?
I just need some realistic encouragement to keep going, along with any advice on how to strengthen what I’m already doing.

I dont use EMA at all, and im profitable. Actually 0 indicators for me they are all nonsense. Just the higher time frames and Market Structure.

**Classic.** Another self-proclaimed 'Trading God' who survived a bull market and thinks he mastered the universe. **Honestly, I can’t even cope.** Bro looked at a single 200 EMA line, found Jesus, and started calling it 'Zen'. You didn't find clarity, you just found a lucky streak, you **clown**. Acting like a financial guru after drawing one line on a naked chart is pure **loser** energy. **Congrats, you 'won' the Dunning-Kruger award.** Stop acting like a **crybaby** philosopher and **润** before the market liquidates your entire basement-dweller savings. **Are you mad yet?**

MA
And MA type have ema,sma,hma,I recommend EMA.

The 4 year cycle will continue. This is bitcoin’s quarterly chart with the EMA 50. Big gap to the downside which will get filled in Q4. Currently at 39k but will be closer to 40k. I’m so confident in this prediction that if I’m wrong BAN ME.

I built TradingSpy: A completely local, privacy-first AI trading research assistant & backtester (Fully Open Source).
Disclaimer: just an individual side project, using all free tier api/library for personal use purpose. Share for more awareness about loop engineering power trading agents and knowing about the trading technologies
Like many of you here, my weekends usually involve digging through charts, checking insider buying patterns, scraping news catalysts, and trying to write/test Backtrader strategies.
A few months ago, I realized I was spending more time wiring together five different data APIs, Jupyter notebooks, and custom scripts than actually researching strategies. Worse, most commercial platforms out there charge a fortune, lock you into their ecosystem, or harvest your strategies and data.
Since I couldn't find a privacy-first, all-in-one local environment that did what I wanted, I decided to build it myself.
I call it TradingSpy, and I just open-sourced it.
What is it?
TradingSpy is a local-first AI trading research workstation running entirely in Docker. It combines traditional data visualization (heatmaps, charts, indicators) with loop-engineered AI agents that act as your research companion.
It is not a broker and does not place trades. It is purely a sandbox for strategy generation, market analysis, and backtesting.
Why use it?
\* Zero Data Privacy Concerns: Everything runs locally on your machine via Docker. Your strategy ideas and data remain yours.
\* AI Strategy Generation (The Fun Part): You can describe a strategy in plain English, and the system generates a working Backtrader strategy, validates the syntax, and automatically runs parameter sweeps against historical data.
\* Loop Engineering Agents: You can give it a goal (e.g., "Improve EMA\_Trend for TQQQ until it beats the baseline"). The agent will autonomously iterate, test, tweak the code, and discard failed attempts without you having to babysit it.
\* Aggregated Market Intelligence: Pulls real-time quotes, sector heatmaps, insider transactions, fundamentals, and academic papers (via arXiv) into a single interface.
\* Supports Free/Local LLMs: Works out of the box with free-tier providers (Google AI Studio, OpenRouter) or completely offline local models via Ollama (qwen2.5-coder, etc.).
Why am I sharing this?
Right now, I am a solo developer building this on zero budget because it’s a tool I genuinely needed. I’m opening it up to the community because I want to make quantitative research accessible to everyone without the data privacy paranoia.
I would love to get your feedback, feature requests, or bug reports!
GitHub: https://github.com/mrhustlex/TradingSpy-TradingAgentService/
(Note: It’s experimental software meant for educational research, not financial advice!)

The good news buried in here is that your strategy works. Paper took 26 and made 4.8R, you took 15 and made -1.1R. The edge is real, you're just filtering it out.
Go score the 11 you skipped. If they come out net positive you'll have an actual number proving your gut filter is a negative edge, and that's a lot harder to argue with at 9:30 than a feeling is. Most people never run that check and keep assuming the discretion helps.
Your setup is mechanical enough to just be an alert. Above VWAP and the 20, first pullback, close back above the EMA. Set it as an alert so the decision is made before you're staring at the candle, because in the moment messy always looks like a reason to wait.
And don't go looking for a new strategy off this. That's the real trap here. This one is fine.

Honestly, the three main EMA 50, 100 and 200 on a daily timeframe should be a must as its heavy watched from institutional investors and giving you the higher time frame of the path of least resistance (direction) as well.

I went through my journal last night because I was convinced the paper version of my setup was getting lucky. It turns out I was not even trading the same strategy.
The setup is on NVDA using 1-hour candles. Price has to be above VWAP and the 20 EMA. I wait for the first pullback, then enter when the next candle closes back above the EMA. The stop goes below the pullback low, the target is 1.5R, and I risk 0.5% per trade. Nothing complicated.
Over the last three weeks, the paper version took 26 trades and finished around +4.8R. I only took 15 of them manually and ended up at -1.1R. At first, I thought this proved that some of the paper-trading fills were unrealistic, but when I compared the logs trade by trade, most of the difference came from me.
I skipped 11 valid setups because the chart looked messy, the signal candle was too large, the volume did not feel right, or I simply did not like how the market was moving. The funny part is that I avoided six losing trades, so in the moment it felt like my discretion was helping. But I also skipped three of the biggest winners, including one that looked terrible at entry and ended up running almost 4R before the exit.
On two other trades, I waited for “extra confirmation” and entered one candle later. Both entries were technically outside the rules, both had worse risk-reward, and both lost. I still recorded them in my journal as the same setup because visually they looked close enough.
So now I am not sure what to call this. The paper strategy follows every signal and accepts the ugly setups. I keep trying to improve it in real time by filtering out trades that do not look clean, but apparently that changes the entire distribution. I may be cutting some losers, but I am also removing the trades that are supposed to pay for them.
For traders who mix systematic rules with discretion, how do you prove that the discretionary part is actually adding value? Do you track every skipped signal over a large sample, or is the fact that I am not following the exact rules already enough to say that I am trading a different strategy?

**Background**:
* 10 months consistent learning process with honest feedback.
* I trade **Forex** (mainly majors, focused on EUR/USD so far).
* I follow a **price action strategy** heavily inspired by Bob Volman’s book *Understanding Price Action* (5-minute timeframe).

**My Strengths**:
* Very good emitional control.
* Very strict rule adherence and good risk management (1% risk).
* Detailed journaling.
* Clear playbook based on proven price action concepts (consolidation, buildup, round numbers, 25 EMA).
I’m having some doubts and would really appreciate your honest perspective.
As a normal retail trader with no special background, I’m starting to question whether it’s realistically possible for someone like me to build a sustainable edge in forex using only price action on the 5-minute timeframe.
I believe I have a strong mental game. I consistently journal and review my trades, stick to one strategy, maintain clear setup rules, and follow them with good discipline. I only enter when my full setup aligns. At this point, I feel I mainly need a proven edge. Is this kind of approach viable long-term for an ordinary person who is disciplined and patient? What has your experience shown regarding pure price action profitability on lower timeframes?
I just need some realistic encouragement to keep going, along with any advice on how to strengthen what I’m already doing.

I dont use EMA at all, and im profitable. Actually 0 indicators for me they are all nonsense. Just the higher time frames and Market Structure.

**Classic.** Another self-proclaimed 'Trading God' who survived a bull market and thinks he mastered the universe. **Honestly, I can’t even cope.** Bro looked at a single 200 EMA line, found Jesus, and started calling it 'Zen'. You didn't find clarity, you just found a lucky streak, you **clown**. Acting like a financial guru after drawing one line on a naked chart is pure **loser** energy. **Congrats, you 'won' the Dunning-Kruger award.** Stop acting like a **crybaby** philosopher and **润** before the market liquidates your entire basement-dweller savings. **Are you mad yet?**

MA
And MA type have ema,sma,hma,I recommend EMA.

The 4 year cycle will continue. This is bitcoin’s quarterly chart with the EMA 50. Big gap to the downside which will get filled in Q4. Currently at 39k but will be closer to 40k. I’m so confident in this prediction that if I’m wrong BAN ME.

It's nothing fancy, just typical breaks and bounces off VWAP, whole dollars and half dollars, to a lesser extent .25 and .75 levels, candle over candle, the daily 200 SMA / EMA, 1 minute and 5 minute 9 and 20 EMA, MACD. Mark your levels, because other humans will be looking at those levels too. There are intricacies and depths to each of those things listed.
One of the most important things is trading what is obvious. Which means trading what other \*\*humans\*\* are trading. Which means stocks that have a \*\*reason\*\* to move. This is where you see obvious patterns, because humans work in obvious ways.
You want to capitalize on the best opportunities. Take only the strongest trades. Learn what it looks like when the stock isn't following through on the obvious pattern.
Most of successful trading is \*not\* trading. Don't trade the chop. Don't trade weak stocks. Uninteresting stocks. You acquire a taste for that, and that's really what it is. Trading tastefully.
Above all else, you need sophisticated tools, which means you need level 2, time and sales, and lightning-fast execution speed.

This is the discretionary ORB framework I trade. I've started calling it AMT-ORB (Auction Market Theory Opening Range Breakout), but the basic idea is simple: don't trade the break of the opening range. Trade the pressure behind it.
**Assets**
I started with the three main US indices and gold. Works with the futures, CFD, or ETF versions. Since the Iran war, I've added oil and USDJPY. But this really can work on anything that cares about session timing, like local assets in the appropriate session, e.g., Nikkei in Tokyo session, DAX at the Frankfurt cash open, etc.
**Bias**
Before the open, I score the setup using two checks:
\* Price above a rising daily EMA(15), or the reverse for bearish.
\* Overnight futures moving the same way, especially for indices and gold.
If that all lines up with the breakout, it's an A+ setup and I'll size normally. If not, it's a B setup. I'll still trade it, just smaller.
**Timeframe**
I use the 1-minute chart. The reasons will become evident, but suffice it to say one person's noise is another person's context/signal.
**Opening range**
I started with a fixed 5-minute range. But now I define the opening range as the first opening auction: the first directional move that continues until price either pauses (2-3 overlapping candles) or clearly reverses. If the opening drive is still running at minute six or seven, that's still the opening auction. The breakout hasn't happened yet.
**Entry**
I'm looking for evidence the auction has become one-sided.
What I look for:
\* A breakout candle that's obviously larger than the recent opening candles.
\* At least half the candle outside the opening range.
\* Little or no opposing wick.
\* Little trailing wick.
\* Immediate follow-through.
Large wicks are a red flag. They tell me the auction is still two-sided. I don't care that price traded outside the range. I care whether one side is actually taking control.
If I don't see that, I'll wait for another candle to prove the pressure is still there.
Every breakout can fail. I treat every entry like a scalp until the market proves otherwise.
**Stops**
My stop is usually below the breakout candle.
If buyers (or sellers) are obviously in control, or I entered after a strong confirmation candle, I'll often tighten the stop to the edge of the opening range.
**After entry**
I generally trail behind pullbacks, short consolidations, and partially into large impulses. I'd rather get stopped, then re-enter on fresh pressure than sit through a failed breakout.
Once I'm around 1.5R ahead, I'll often manage from the 5m chart, sometimes the 15m if it starts looking like a trend day. If everything is still aligned with the daily trend, I may even let it develop into a swing.
**Re-entry**
I never re-enter just because price tagged the opening range.
If the first breakout made a clean move away and later failed, I'm looking for fresh pressure away from the range again.
If price instead spends several minutes balancing just outside the range, then the opening breakout is over. That's a new auction. I'll wait for the consolidation itself to break with the same signs of pressure and follow-through.
If I've taken three ORB attempts and none produce a runner, I stop looking for ORBs. That doesn't mean I'm done trading. It just means the opening imbalance never developed, so I switch to a strategy that's a better fit for the market I'm actually seeing.
That's basically it.
The opening range tells me where the battle started. I'm not trading the line. I'm trading the pressure. If one side actually takes control of the auction, I'll participate. If not, I'll wait for the next opportunity.
And yes, I have it as an algo — most of it. Good results, but doesn't take as many trades as I do discretionary, so I haven't fully captured all of my discretionary process. Ongoing research, but that's certainly the goal.