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Hold bitcoin above 100 day

Hold bitcoin while it’s above its 100 day average. Move to cash when it drops below.

Prepared dataBTC 1d · 1,462 candles

Wrote strategy.pyComplete

1import pandas as pd2import numpy as np345def run_backtest(df):6    """BTC 100 Day Trend. Hold bitcoin while it closes above its7    100 day moving average; move to cash on a close back below."""8    initial_capital = 10000.09    fee = 0.001  # 0.1% taker fee, charged on every fill1011    close = df["close"]12    sma100 = close.rolling(window=100).mean()1314    # Long when the prior close sits above the 100-day average.15    # Shift one bar so a bar never decides its own trade (no lookahead).16    long = (close > sma100).shift(1).fillna(False)1718    cash = initial_capital19    units = 0.020    equity_curve = []21    trades = []2223    for i in range(len(df)):24        price = float(close.iloc[i])25        ts = int(df["ts"].iloc[i] // 1000)2627        if long.iloc[i] and units == 0.0:28            units = (cash * (1 - fee)) / price29            cash = 0.030            trades.append({"time": ts, "side": "buy", "price": price})31        elif not long.iloc[i] and units > 0.0:32            cash = units * price * (1 - fee)33            units = 0.034            trades.append({"time": ts, "side": "sell", "price": price})3536        value = round(cash + units * price, 2)37        equity_curve.append({"time": ts, "value": value})3839    curve = np.array([p["value"] for p in equity_curve])40    returns = np.diff(curve) / curve[:-1]41    sharpe = np.sqrt(365) * returns.mean() / returns.std()42    peak = np.maximum.accumulate(curve)43    max_drawdown = ((curve - peak) / peak).min() * 10044    return {

Ran backtestComplete

Total return+42.3%

Vs holding+12.4 pts

2021-01-05edgeequity2024-11-18

Max drawdown −8.2%Sharpe 1.34Win rate 61%Trades 24

Full metrics & fees Illustrative example

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Strategy saved — BTC 100 Day Trend · BTC 1dview file ❯

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Example backtest · 42% · running in background

Describe a strategy, / for presets, @ for data

AutoMedium

Trend following
Hold while price stays above its own average, step aside when it doesn't.
Mean reversion
Buy the stretch away from fair value, sell the snap back.
Breakouts
Wait for a range to break on real volume, then go with it.
Momentum
Rank the market and hold what is already working.
Risk rules
Position sizing, stops and daily loss limits, tested like anything else.
Portfolios
Several ideas at once, so one bad month is not the whole story.

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Long bitcoin while price holds above its 100 day moving average; move to cash on a close below.

I built BTC 100 day trend and opened its current backtest in the workspace.

Wrote strategy code Code v1Running backtest 68.4%btc_100d_trend.pyBacktest · BTC 1d

Which rules is it actually trading?

Both rules read off the same daily close.

EntryClose crosses above the 100 day moving average.ExitClose falls back below the 100 day moving average.Testing on 1,462 daily candlesRules · BTC 100 day trend

Show me the fills.

Every fill is logged with its price as the run works through the history.

BTC buy 114,280.4BTC sell 118,914.2Trades · BTC 1d

Describe a strategy, / for presets, @ for data

AutoMedium

Exit rules

Take profit without guessing.

Premiss tests every step of an exit plan against the same market history. Scale out at defined targets, keep the fallback rule visible, and see how the complete ladder behaves before relying on it.

Scale out of a winning position in steps instead of guessing a single exit.

I built Take profit ladder and opened its current backtest in the workspace.

Wrote strategy code Code v1Running backtest 14.6%take_profit_ladder.pyBacktest · BTC 1d

Which rules is it actually trading?

Both rules read off the same daily close.

EntryAn open position is up 25% from its entry price.ExitSell half at +25%, the rest at +50% or on a close back at entry.Testing on 1,462 daily candlesRules · Take profit ladder

Show me the fills.

Every fill is logged with its price as the run works through the history.

BTC buy 114,280.4BTC sell 118,914.2Trades · BTC 1d

Describe a strategy, / for presets, @ for data

AutoMedium

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Good afternoon,Marten

BTC 100 day trend+12.4%
Buy the 3% dip+8.1%
Golden cross, 50/200+6.7%
Take profit ladder+5.6%
BTC 200 day guard+3.9%
ETH 100 day trend+1.2%
Weekend fade−0.8%

Markets

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Follow the assets your ideas depend on in one place. Compare price, daily movement, and market size before turning a signal into a strategy.

Crypto prices refresh from CoinGecko while this section is on screen. Equity figures are indicative and are not a live quote.

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Frequent questions

What is Premiss?

Premiss is an AI trading platform for crypto strategies. You describe a trading idea in plain language. It writes the Python, backtests it on years of real market data, and runs the strategy forward as a bot.

Can Premiss connect to my exchange account and trade for me?

Premiss Live can run a strategy you have already backtested on your own Kraken account. It is in early access and open only to a small group of approved participants while we validate execution and safeguards. No other exchange is connected for real-money trading today. Separately, Premiss can post your strategy’s entry and exit signals to any URL you control, and what your own endpoint does with them is your decision.

Is Premiss a crypto trading bot?

Premiss is the platform that builds one. You describe the strategy in plain language, Premiss writes the bot’s Python and backtests it on years of real data, and the strategy then keeps running forward on live market data. Bots run as paper simulations by default.

Do backtest results predict future performance?

No. Backtests and paper trades are hypothetical examples based on past market data. They are not financial advice and don’t guarantee future performance. Review the code, assumptions, fees, and trades before relying on any result, and remember that a strategy running with real money faces slippage, delays, and rejected orders a simulation cannot reproduce.

Which exchanges does Premiss support?

Premiss models the base-tier maker and taker fees of Binance, OKX, Bybit, Kraken Pro and Coinbase Advanced, so you can reprice a finished result at each exchange’s taker fee and see the fee your strategy breaks even at. Real-money order placement runs on Kraken, Binance and Binance.US, in early access.

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Ideas deserve a proper test.

We went looking for a decent way to test strategies on the market, and all we found was diagrams. Drag a block, connect it to another block, pick something from a dropdown. That works right up until the idea in your head doesn’t fit the shapes on offer, which for us was about ten minutes in. So we kept having ideas and kept not checking them.

Premiss is the thing we were looking for. You bring the idea and the agents work through it with you: reading the market, pulling the data apart, writing it up as code you can actually read, then running it against years of real history. Most of ours fell apart right there, which turned out to be the useful part. We’d rather show you a flat line than a flattering one, and we’d rather you lost an afternoon than your savings.

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