Long Trade on ALPHA
The 17 Sep 2025 at 10:00:58
With 11670.8117 ALPHA at 0.01896$ per unit.
Position size of 221.2786 $
Take profit at 0.02033 (7.23 %) and Stop Loss at 0.01827 (3.64 %)
That's a 1.99 RR TradePosition size of 221.2786 $
Take profit at 0.02033 (7.23 %) and Stop Loss at 0.01827 (3.64 %)
That's a 1.99 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.88 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.59 |
| Prediction 3 | Probability |
|---|---|
| 0 | 0.52 |
| BTC Market Regime | Coin Market Regime |
|---|---|
|
ml_regime : neutral rules_regime : range_low rules_regime_5m : range_low |
1H_regime : bull_high 15m_regime : bull_high 5m_regime : bear_high |
| BTC Correlation | Score |
|---|---|
|
5m : 0.061758 15m : -0.019153 1H : -0.347957 |
0 |
Indicators:
| Start at | Closed at | Duration |
|---|---|---|
| 17 Sep 2025 10:00:58 |
17 Sep 2025 12:00:00 |
1 hour |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.01896 | 0.01827 | 0.02033 | 1.99 | 0.01155 |
Pour calculer le Risk-Reward Ratio (RRR) sur un trade short, on utilise la formule :
RRR = Distance jusqu'au Take Profit ÷ Distance jusqu'au Stop Loss
Détails du trade:
Calcul:
Risque (distance jusqu'au stop loss) :
SL - E = 0.01827 - 0.01896 = -0.00069
Récompense (distance jusqu'au take profit):
E - TP = 0.01896 - 0.02033 = -0.00137
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -0.00137 / -0.00069 = 1.9855
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 221.2786 | 100 | 11670.8117 | 2.21 |
1. Déterminer le montant risqué sur ce trade
Risk Amount = Capital x Risk per trade
Paramètres:
Risk Amount = 100 x 0.08 = 8
Donc, tu es prêt à perdre 8$ maximum sur ce trade
2. Calcul Risk per Share / Nombre d'unité à acheter
Taille de position = Risk Amount / Distance Stop Loss
Taille de position USD = Taille de position x Entry Price
Paramètres:
Taille de position = 8 / -0.00069 = -11594.2
Taille de position USD = -11594.2 x 0.01896 = -219.83
Donc, tu peux acheter -11594.2 avec un stoploss a 0.01827
Avec un position size USD de -219.83$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -11594.2 x -0.00069 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -11594.2 x -0.00137 = 15.88
Si Take Profit atteint, tu gagneras 15.88$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 7.23 % | 15.99 $ |
| SL % Target | SL $ Target |
|---|---|
| 3.64 % | 8.05 $ |
| PNL | PNL % |
|---|---|
| -8.05 $ | -3.64 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -4.1667 % | 114.49 % | 18 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.02033
[entry_price] => 0.01896
[stop_loss] => 0.018201
[rr_ratio] => 1.81
[sl_change_percentage] => 1.1
[closed_at] => 2025-09-17 12:00:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.02033
[entry_price] => 0.01896
[stop_loss] => 0.018132
[rr_ratio] => 1.65
[sl_change_percentage] => 1.2
[closed_at] => 2025-09-17 13:35:00
[result] => win
)
[1.3] => Array
(
[take_profit] => 0.02033
[entry_price] => 0.01896
[stop_loss] => 0.018063
[rr_ratio] => 1.53
[sl_change_percentage] => 1.3
[closed_at] => 2025-09-17 13:35:00
[result] => win
)
[1.5] => Array
(
[take_profit] => 0.02033
[entry_price] => 0.01896
[stop_loss] => 0.017925
[rr_ratio] => 1.32
[sl_change_percentage] => 1.5
[closed_at] => 2025-09-17 13:35:00
[result] => win
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.00047
[max_drawdown] => 0.00079
[rr_ratio] => 0.59
[high] => 0.01943000
[low] => 0.01817000
[mfe_pct] => 2.48
[mae_pct] => 4.17
[mfe_mae_ratio] => 0.59
[candles_analyzed] => 24
[start_at] => 2025-09-17T10:00:58-04:00
[end_at] => 2025-09-17T12:00:58-04:00
)
[long_term] => Array
(
[max_gain] => 0.00653
[max_drawdown] => 0.00079
[rr_ratio] => 8.27
[high] => 0.02549000
[low] => 0.01817000
[mfe_pct] => 34.44
[mae_pct] => 4.17
[mfe_mae_ratio] => 8.27
[candles_analyzed] => 84
[start_at] => 2025-09-17T10:00:58-04:00
[end_at] => 2025-09-17T17:00:58-04:00
)
[breakout] => Array
(
[high_before] => 0.02479000
[high_after] => 0.02422000
[low_before] => 0.01844000
[low_after] => 0.01817000
[is_new_high] =>
[is_new_low] =>
)
)