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I’ve always been that guy who loves messing with trading ideas. You know, dreaming up ways to beat the market, then wondering if they’d actually work. Backtesting’s my jam — it’s like sneaking a peek at yesterday’s lottery numbers. And lately, I’ve been obsessed with Python and this thing called fastquant. Get this: you can test a strategy in three lines. Three! Let’s dig in.

Python’s My New Best Friend

A while back, I was that dope trying to crunch numbers in Excel. Total mess — sheets everywhere, formulas breaking, and me pretending I knew what I was doing. Then Python strolled in. It’s quick, it’s chill, and it’s got all these tools that make trading stuff easy. I was sold.

fastquant is the real MVP, though. It’s like someone said, “Hey, let’s make backtesting simple for regular folks like us.” And they nailed it. No finance degree needed — just a laptop and some curiosity.

Getting It Going

To start, you gotta grab fastquant. Open your terminal — or that weird command box — and type:

pip install fastquant

Done. That’s it. Now let’s play with some data.

Snagging Prices

I wanted to see how Jollibee stock (it’s “JFC”) did a few years ago. Easy peasy:

from fastquant import get_stock_data

df = get_stock_data("JFC", "2018-01-01", "2019-01-01")
print(df.head())

You get this:

           dt    close
2019-01-01  293.0
2019-01-02  292.0
2019-01-03  309.0

Crypto’s my other thing — Bitcoin especially. Here’s how to pull that:

from fastquant import get_crypto_data

crypto = get_crypto_data("BTC/USDT", "2018-12-01", "2019-12-31")
print(crypto.head())

And bam:

dt           open    high    low    close
2018-12-01  4041    4299   3963   4190

It’s raw prices, straight up. Love it.

Testing in Three Lines

Okay, here’s the fun part. I dig this thing called SMAC — short average crosses the long one, you buy; flips back, you sell. Check it:

from fastquant import backtest

 backtest("smac", df, fast_period=15, slow_period=40)

And it spits out:

Start cash: 100000
End cash: 102272

Three lines, and I made a couple grand on Jollibee. Not huge, but cool for a quick goof-around.

More Tricks to Try

fastquant isn’t stingy — it’s got a bunch of strategies. Here’s two I messed with:

RSI

Buy when it’s cheap, sell when it’s high. Like this:

backtest("rsi", df, rsi_period=14, rsi_upper=70, rsi_lower=30)

Boom:

Start: 100000
End: 132967

That’s a fat win — 30% up!

Bollinger Bands

This one’s about catching wild price jumps:

backtest("bbands", df, period=20, devfactor=2)

Eh:

Start: 100000
End: 97060

Lost a bit. Oh well — can’t win ’em all.

Fiddling Around

I’m nosy, so I wondered if 15 and 40 were the best for SMAC. Let’s try a bunch:

res = backtest("smac", df, fast_period=range(15, 30, 3), slow_period=range(40, 55, 3), verbose=False)
print(res[['fast_period', 'slow_period', 'final_value']].head())Here’s what I got:

fast   slow   cash
15     40     102272
21     40     9884715 and 40 still rule. Nice to know.

No-Code Option

My pal Dave hates code — he’s all “just give me buttons!” So I told him about Hawksight. It’s new, it’s free, and it’s from the fastquant folks. No typing, just clicking. I might sneak a peek myself when I’m lazy.

Getting Crazy with Predictions

One night, I got nuts and tried predicting Bitcoin with this Prophet thing. It’s a bit of a slog, but here’s the short version:

from fbprophet import Prophet
from fastquant import get_crypto_data, backtest

df = get_crypto_data("BTC/USDT", "2019-01-01", "2020-05-31")
ts = df.reset_index()[["dt", "close"]]
ts.columns = ["ds", "y"]
m = Prophet().fit(ts)
forecast = m.make_future_dataframe(periods=0)
pred = m.predict(forecast)

returns = pred.set_index("ds").yhat.pct_change().shift(-1).multiply(100)
df["custom"] = returns.multiply(-1)
backtest("custom", df.dropna(), upper_limit=1.5, lower_limit=-1.5)

It’s me guessing Bitcoin’s next move and trading off that. Total geek move, but fun.

Backtesting used to scare me — felt like I needed a math degree. But fastquant? It’s a game-changer. I can test ideas in minutes, whether I’m keeping it basic or going full nerd. Hawksight’s there if I’m feeling lazy too. Trading’s getting fun again.