FreqAi_Yaro

NO coding knowledge needed!!! Just downloaded the AI tool and it set everything up for me, I just had to keep an eye on it. Anyone can do this!!! Now I just need to avoid getting wrecked on my deposit😆😆😆 Where can I find a foolproof strategy??? Any tips....

In history tests, my bot showed insane +5700% in a week. I’d already thought about buying a yacht. In real live trading, of course, those millions of percent deflated, but the bot still closed the period with a steady plus. Backtests don’t know what slippage is, the queue in the order book, or the ping to the exchange. In history everything is perfect; in real life—the market turns right in front of your nose. So a real profit is a win. What was your biggest gap between the test and the real results?

Instead of trendy neural networks, we went with LightGBM. It's fast and doesn't hog gigabytes of RAM. And the best part — the model isn't trying to predict the exact BTC price for tomorrow. It's functioning as a classifier: it simply calculates the probability of whether the price will pump, dump, or stay flat in the next 15 minutes. We only need the direction of the move, not some Vanga-style forecasts.

Advice like "connect ChatGPT to the exchange via API" is totally wild. Try asking it where Solana's price is headed on the next candlestick. It'll spit out a three-page essay, and by the time you finish reading, the price will have already flipped. I use local ML. The model runs right on my hardware, analyzes pure numbers, and delivers decisions in 5 milliseconds. No delays and for free.

When I was looking for software, I was offered a bunch of paid bots with buttons like “buy a subscription and get rich.” I chose Freqtrade—a free open-source trading engine. I added the FreqUI web panel on top, and now I have a real command center on my screen. I can see every trade, charts, and logs in real time. Looks awesome, even when the bot is just sitting idle. 😆

Machine learning models can also “panic” during high volatility and see signals where there aren’t any. To fix this, we configured a Z-Score filter. The bot compares the model’s confidence to the average level over the last 20 candles. An entry is allowed only when the confidence sharply rises above background noise.

I used to risk the same amount on every trade. The algorithm figured that was dumb, so now it uses the Kelly criterion (like pro players in blackjack). Sees a strong pattern — goes in with a larger volume. Doubts — keeps the volume minimal. No mathematical edge — just skips it.

Jumping in with 20x leverage on every shitcoin is a fast track to liquidation. Our leverage is calculated dynamically based on ATR. If an alt is going crazy and moves 10% in a minute (like SOL or WIF) — the bot gives it a max of 3x leverage. If BNB is crawling slowly — it activates 15x. The risk per trade is always the same. How do you calculate leverage? Do you always stick with the standard 10x for everything?

Trading classic: set your stop and wait for hours. My bot uses a triple barrier method. Besides the usual take profit and stop loss, there's a third limit — time. Entered a trade, and the price is stuck in a range for 6 candles? The bot simply closes the position. Time's up, no point in freezing capital. This feature has saved me a ton of nerves.

Diving into the CVD (Cumulative Volume Delta) model. The algorithm doesn't just look at the candlesticks; it analyzes who's hitting the order book harder. The price might be stagnant, but the delta shows that a big player is actively buying up all the sell orders. The model spots this accumulation and jumps in along with them.

In short, I analyzed the last 2000 live trades. The bot was hovering around zero due to two issues: shorting a strong upward trend (catching short squeezes) and losing on chaotic SOL and BCH.

What I did:

I blacklisted SOL and BCH.

I tightened the entry conditions for shorts (now we only dive in when RSI > 65 and with rock-solid confidence in the model).

On the backtest over the same period, the result shot up to +1033% in 11 days with only a 4% drawdown! Shorts finally started generating profit, and the hard stop only triggered once.

The updated code is already live. We'll see if the real performance matches the beauty of the backtest. But of course, backtests differ significantly from real results in all cases😆😆😆

What do you think, are shorts on altcoins suicidal right now or is it a normal play?

BTCSOL $USDC #tradingbot #algorithms #Write2Earn

I used to buy just because "the price dropped significantly, gotta scoop some up." Then, of course, I'd end up catching the second dip as a bonus. Bots don't fall for that. They analyze the Volume Ratio. If the price is creeping up but there's no volume — for the algorithm, that trade doesn't exist. Without fuel (volume), any movement is just manipulation. Do you dive into trades on weekends when volumes are zero?

I don't know who that Gilbert was, but his math is saving my portfolio. My ML algorithm uses his formulas (Hilbert cycles) to distinguish between trends and sideways action. If the market is in a range, the bot just sits tight. I used to get wrecked on every false breakout and lose cash. Now the bot hangs back and waits for real movement. How do you guys define a range? Do you draw lines with a ruler or have you automated that too?

Do you think it makes sense to share the full setup and parameters of your trading strategy here? P.S. I'M NOT OFFERING ANYTHING FOR SALE!!! Just curious, maybe someone has thoughts for improvement (I know there's GitHub, but it seems to me that no one will give me any advice there).

I really love physics and everything related to it; my AI assistant decided to use it for trading.
It doesn't look at candlesticks or RSI. The AI analyzes price like a physical entity based on Savitsky-Golay formulas. The bot calculates the 'velocity' and 'acceleration' of the price (first and second mathematical derivatives).
In short, it spots momentum and understands that the price is accelerating towards a wall even before the candlestick closes.
I still don't know what a second-order derivative is, but it sounds solid when my friends ask how my trading is going.
Any math geeks here? Do these formulas really work better, or is my AI just showing off?

I used to set a 20x leverage on some PEPE, praying and waiting for liquidation. My AI coder hinted that it was foolish, and rewrote the leverage logic based on volatility.

Now, if the alt is wild (like SOL or WIF) — the bot gives it a 3x-4x leverage. If the market is barely breathing — it kicks up to 15x. The math is simple: the loss per trade should be the same, whether we’re trading stable BTC or the next meme coin that's about to die.

Of course, I lost the romance of 'all or nothing', but at least my deposit is intact. 😆

Is anyone else playing with dynamic leverage, or is going 20x on the whole stack your warrior's path?

NO CODING KNOWLEDGE NEEDED!!! Launched the most popular freqtrade bot using free AI tools. Initially, the idea was to catch limit orders at 0.01 USDC without fees, but due to market noise, the strategy evolved into a scalping approach on a 15-minute timeframe. It's not perfect, but it's highly promising and adaptable to new conditions. The neural network constantly retrains and adjusts parameters.
ALL FOR FREE
If anyone is interested in how to do this as a newbie WITHOUT coding knowledge, I will detail the step-by-step process in upcoming posts!

I remember back when BTC was around 115-120k, I set up my bot too... backtests, optimizations, adaptive GRID strategy, even had some hedge options... a week into real trading, when I saw a solid profit (with almost no drawdowns at all), I thought, why not increase my deposit and positions... oh boy 😤😮‍💨😓... can we please just keep it in a flat range forever???

So there you are, lounging on the couch... while someone else is learning to trade.... get off that couch and do something, bots won’t set up their own machine learning!!!

Is anyone on freqai? Got any thoughts for auto trading with AI API? Where should I go? GitHub? Why so harsh, I was just asking...